Kennesaw State University

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14 Νοε 2013 (πριν από 3 χρόνια και 9 μήνες)

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BACCALAUREATE AND MASTER’S DEGREES



NEW PROPOSAL FORM: ONE
-
STEP PROCESS

(Submit One Copy)


REVISED FORMAL PROPOSAL



Institution:
Kennesaw State University


Institutional Contact (President or Vice President for Academic Affairs):

Dr. Ken Harmon


Date:
10/15
/11


School/Division:
College of Science and Mathematics


Department:

Computer Science


Departmental Contact:

Dr. Ken Hoganson


Name of Proposed Program
/Inscription
:

Master of Science in Computer Science


Degree:
Master of Science


Major:
Computer Science


CIP Code:

11.0701




Anticipated Starting Date:
Fall 2012


Indication of Whether the Program is New and Online:




Replacement for MS
-
ACS

program



Program is offered both conventionally on
-
campus, and
online.


Indication of whether the
program should be listed with the SREB Electronic Campus:



YES





Program Proposal: M.S. Computer Science, Kennesaw State University

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1. Program Description and Objectives:


a. Objectives of the

M.S. Computer Science

program

at Kennesaw State University

This new program is to
serve
Kennesaw State University’s

graduate co
mputer science

students multiple ways:
b
y pushing
graduate
computer science at KSU in new directions
,
with concentrations of courses centered around these themes:



mobile devices and mobile application development



database, data warehousing & data mining



mo
deling, simulation and game design and development



interdisciplinary graduate option to combine computer science with:

Information Systems OR Applied Statistics

And by replacing the MS Applied Computer Science for Experienced Professionals
program
(MS
-
ACS), which was suspended July of 2011 due to low enrollment, with a
new more conventional and research
-
oriented degree program.


Notable Features of the new MS
-
CS Program:

These
innovative
features differentiate KSU’s proposed MS
-
CS program:



Interdisciplinary

graduate
-
level opportunities through the
MS in Applied Statistics

and
MS in Information S
ystems

at KSU. Students in these programs have similar
mathematical foundational prerequisites, and MS
-
CS students must meet all
admission requireme
nts in the secondary field required to take courses. This kind of
interdisciplinary option was not possible with the MS
-
ACS due to the premium
program structure and pricing.



The MS
-
CS

will continue to use our
outstanding distance learning technology

that
allows students to choose how to attend class (either live and in

class,
live/synchronous at
-
a
-
distance, and asynchronous through recorded lecture), and also
converts recorded lectures to mobile device formats.



Includes these
targeted research areas

at the

nexus of notable research activity and
KSU CS faculty expertise:

o


mobile devices programming, application design and development, mobile
intelligence

o

database, data warehousing, and data

mining

o

game design and development, modeling, and simulation


Rea
sons for the MS
-
ACS enrollment suspension

Fall 2011 exhibited a drop

in
new student
enrollment

due to the following causes:



High Premium Price

Tuition
:

The MS
-
ACS premium tuition, set at $27,500 per semester

is
actually closer to $30,000 when including manda
tory university fees.
This is substantially
higher than comparable and competing programs.



Loss of Competitive A
dvantage:

When created in 2001, the MS
-
ACS was the only
computer science master’s degree that was available from a Georgia university that offered
full
synchronous and asynchronous
distance
-
learning capabilities
,
which

included

live remote
student interaction with

the professor and class. Now, a number of MS degrees offered by
Georgia institutions offer their programs partially or completely using distance learning
technologies. These competing programs offer their degrees at much lower cost, roughly a
third of
the MS
-
ACS.



Reduced Electives and

Student Choices
,
through reduced course offerings and reduced
thesis support. The MS
-
ACS program was
streamlined

to reduce the number of
courses
Program Proposal: M.S. Computer Science, Kennesaw State University

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offered

each term

and to flatten the prerequisite structure

with fewer prere
quisites.
With
fewer courses

offered per semester, s
tudents lost the ability to specialize in
depth within their
areas of their interest.
For instance, in both Spring and Fall of 2011,
the program offered a
total of
only 4 courses
each term, which had to

support both 1
st
-

year students and 2
nd
-
year
students
. This lead

to
fewer options and
mixing
beginning and advanced graduate students

in
the same course, thereby

limiting
the
depth of study
in a course
and
building upon
p
rerequisite
knowledge
.

Additional

Structural Weaknesses of the MS
-
ACS program:



Inability to allow Smooth

Transition
of
BS
-
CS graduates:

Due to the premium
-
price of
the MS
-
ACS, students are unable to
take advantage of the “Accelerated Bachelor
-
Master’s
option, which allows undergraduate s
tudents to complete up to 9 hours of master’s level work
as part of the BS degree requirements. When coupled with the high premium price, our best
BS
-
CS graduates look to other institutions for their computing graduate study.



Loss of Strategic Value to Fa
culty and Administration:

The MS
-
ACS as a premium
-
priced program targeting the “Experienced Professional”


basically working students in
industry


is not viewed as an important contributor to faculty and university strategic goals
,
particularly as KSU m
atures as an institution
. Working professionals are
typically
not

as

interested in working with faculty on intensive research projects:
evidenced by the program
graduating

only one thesis student during its entire history.

Given the choice, most MS
-
ACS
students choose to work on a professional certification, as opposed to an applied research
project, and only one student completed a formal thesis.


Char
acteristics of the

MS
-
CS

Proposal

which A
ddress
Above

Weaknesses


This proposal for a replacement
MS
program remediates the above deficiencies



Conventional Tuition
:

The proposed MS
-
CS has conventional graduate tuition, with
a
program fee and lab fees

to support distance
-
learning technology and student lab and research
technology.

The total cost

to the s
tudent

(tuition plus
all
fees) will be about a third of the
MS
-
ACS
cost
, or a notable tuition reduction of around 66%
.



Competitive Advantage:

The proposed MS
-
CS retains the superior remote student
interactivity capabilities, now at a competitive price. T
he new program introduces other
features that will interest prospective students

in terms of specialization,
electives
, and
interdisciplinary study
.



Renewed

Student Choices

and Thesis Support
:

The proposed MS
-
CS will support a wider
number of electives in

specialized areas, and will have a more conventional prerequisite
structure in
four

tiers: 1) required core courses; 2) upper level electives which build on core
course knowledge; 3) research courses and seminars in specialized areas
; 4) Thesis research

building from one or more research courses
.


Student thesis research support will be renewed
and enhanced with assistantships and through a program structure that is more
supportive of

thesis research.

Addressing Structural Weaknesses of the MS
-
ACS progra
m:



Supports Smooth

Transition
for
BS
-
CS graduates:

The MS
-
CS program will support the
accelerated Bachelor’s
-
Master’s concept by cross
-
listing 6000
-
level core courses as 5000
-
level courses available to advanced undergraduate students.
Students may complete up to 9
hours of master’s coursework through this process.
The conventional tuition pricing without
the “Experienced Professional” focus, will make the program much more attractive to
traditional computer science students.



Strategic
Value to Faculty and Administration:

The
new MS
-
CS program will better
support and develop student research and thesis, better supporting faculty interests and efforts

with a more conventional program design and structure
.

Stronger MS thesis research ben
efits
the students, faculty, and supports KSU’s strategic growth as an institution.

Program Proposal: M.S. Computer Science, Kennesaw State University

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b. Needs the program will meet

The MS
-
CS will contribute to meet the national and Georgia’s increasing demands for workforce
in computer science. According to the Bureau of Labor Statistics, the projected increase of
employment in Science and Engineering (S&E) occupations reaches 21.4% in the

period of 2006
-
16, which is more than double than the projected increase in all occupations in the same period
(Table 1 and Figure 1). Furthermore, the projected 29.2% growth in Computer
scientists/mathematicians assumes absolute precedence over all S&E o
ccupations (Table 1 and
Figure 1). Despite the strong demand in employment of computer scientists, the production of
Master degrees in computer science declined consistently from year 2004 through 2007, as
illustrated in Figure 2.



Figure 1 Burea
u of Labor Statistics projections of increase in employment for S&E and selected
other occupations: 2006
-
16

(
From

F
eference 1:
http://www.nsf.gov/statistics/seind10/c3/fig03
-
a.gif
)

Program Proposal: M.S. Computer Science, Kennesaw State University

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Table 1: Bureau of Labor Statistics projects of employment and job openings in S&E occupations:
2006
-
16

(
From
reference 1:
http://www.nsf.gov/statistics/seind10/c3/tt03
-
b.htm
)


Program Proposal: M.S. Computer Science, Kennesaw State University

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Figure 2.

S&E master’s degree, by field: 1993
-
2007


(This figure is directly copied from reference 1: http://www.nsf.gov/statistics/seind10/c2/fig02
-
11.gif)



The state of Georgia shows a similar pattern in the demand and supply of S&E workforce. On the
one hand, G
eorgia has much higher level than national average in net high
-
technology business
formations as share of all business establishments, as shown in Figure 3; on the other hand, the
production of S&E graduate students per 1000 individuals of 25
-
34 years old
in Georgia was
consistently lower than national average level as illustrated in Figure 4. Therefore, both national
and state data in demand and supply of S&E workforce including computer scientists demonstrate
a strong need for universities in Georgia to
produce more graduates with advanced degrees in
S&E, especially computer science/mathematics.






Program Proposal: M.S. Computer Science, Kennesaw State University

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Figure 3. Net high
-
technology business formations as share of all business establishments
(Graph
generated from NSF website
http://www.nsf.gov/statistics/seind10/c8/c8s8.cfm)



Figure 4. S&E Graduate Students per 1,000 individuals of 25
-
34 years old.
(Graph generated from NSF
website http://www.nsf.gov/statistics/seind10/c8/c8s8.cfm)

Program Proposal: M.S. Computer Science, Kennesaw State University

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In Fall 2011, KSU
reached a

historically high enrollment
overall, and also
in undergraduate
computer science courses. For instance, the CS department offers 5 section
s

of

our

CS1 course

(CS 2301)

with 200 seats, 98% of which has been filled. The significant increase of
undergradu
ate CS students also calls for a Master degree program in CS in order to meet the
needs of KSU computer science majors that have the desire to pursue graduate study in computer
science.


Reference:

1. Science and Engineering Indicators: 2010, http://www.
nsf.gov/statistics/seind10/c/cs1.htm






c. Brief explanation of how the program is to be delivered

The
MS
-
CS

program will deliver instruction in multiple ways
:



conventional lecture class sessions



hybrid class meetings (where every
-
other class meeting
uses online resources and group
project development)



online


with live distance lectures that are also recorded lectures and available
asynchronously

The MS
-
CS will be offered as a traditional in
-
class program, and as an entirely online program.

Additional details on instruction delivery through the use of hybrid teaching and distance
-
learning
are included in
Appendix A
.



d. Prioritization within the institution’s strategic plan

The
MS
-
CS

program is important to the institution’s strategic plans to serve our regional service
area with
graduate
degree
opportunities that are
in
-
demand with students. The use of hybrid
,
distance
-
learning and online

technologies and pedagogy for instruction de
livery supports the
institution’s goals of better serving our community while minimizing infrastructure requirements
including classroom space.

The MS
-
CS fits within the institutions strategic plans to grow and develop in scholarship
and research signifi
cance, in ways that the MS
-
Applied Computer Science could not, through
stronger research and thesis opportunities.


2. Description of the program’s fit with the institutional mission and nationally accepted
trends in the discipline.


The MS
-
CS continues K
SU’s presence in graduate computer science, and supports KSU’s
strategic growth in graduate programs. As a conventional program replacing the premium MS
-
ACS program, the MS
-
CS will support our growth in undergraduate co
mputer science through
the Acce
lerat
ed Bachelor’s
-
Master’s program, and provide a pathway for KSU computer science
students into graduate study.

The new program will also include a substantial interdisciplinary component, coupling
computer science with other disciplines. It is
widely
expected that a large part of the growth of
the computing discipline will be in synergistic combinations with other disciplines, including the
sciences, leveraging and applying computing technology
.





Program Proposal: M.S. Computer Science, Kennesaw State University

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3. Description of how the program demonstrates deman
d and a justification of need in the
discipline and geographic area and is not unnecessary program duplication.


As described in section 1.b, the proposed MSCS will contribute to meet the national and
Georgia’s increasing demands for workforce in computer
science. Furthermore, KSU’s
increasing enrollment in CS also demonstrates the need for setting up a Master degree
program in computer science at KSU.


In the following T
able

1,

we compare the proposed MS
-
CS with MS degree programs in CS
offered by Southe
rn Polytechnic State University (SPSU), the University of West Georgia,
University of Memphis, and Georgia S
tate University (GSU). As T
able

1

shows, the
proposed MS
-
CS program has the following significant
distinguishing
features:



Interdisciplinary

gradua
te
-
level opportunities through the
MS in Applied Statistics

and
MS in Information Statistics

at KSU. Students in these programs have similar
mathematical foundational prerequisites, and MS
-
CS students must meet all admission
requirements in the secondary
field required to take courses. This kind of
interdisciplinary option was not possible with the MS
-
ACS due to the premium
program structure and pricing.

KSU is seeing notable employment demand for
employers trained in both computer science and statistics



The MS
-
Cs will continue to use our
outstanding distance learning technology

that
allows students to choose how to attend class (either live and in

class, live/synchronous
at
-
a
-
distance, and asynchronous through recorded lecture), and also converts recorde
d
lectures to mobile device formats.



Includes the following
current

computing
research areas

at the nexus of notable
research activity and KSU CS faculty expertise:




mobile computing




game design and development, modeling, and simulation




database, data warehousing, and data mining






















Comparison with other programs of this nature.


.

Table 1.
Comparison of the Proposed MS Computer Science with

O
ther Programs of a Similar Nature

Program

Institution

Thesis

Interdisciplinary
Graduate Option

Targeted Area(s)

Instruction
Delivery

Price

Credit

Hours

MSACS
(200
2


20
10
,
suspended)

KSU

N

None

Applied Computer Science

Integrated Distance
learning

Premium:
$27.5
K
+fees ≈ $30K

36

MS
-
C
S

(2012)

(proposal)

KSU

Y

Up to 9 hours of 6000+
level from either:



Applied Statistics



Information Syste
ms



Mobile Device App.

Development



Database&DataMining



Game Design
, Modeling &
Simulation

Integrated Distance
learning

options
:



Traditional in
-
class



Online



Hybrid

Conventional+Fees:

$8K

36 hours.


With
30
hour

minimum


MS
-
CS

SPSU

Y

None

General C
omputer
Science

Some distance

Conventional

36

MS
-
ACS

West Georgia

N

None

General C
omputer Science

distance learning

Not premium: $10K

36

MS
-
ACS

Columbus State

Y

None

General C
omputer Science

distance learning

Not Premium: $11K

36

MS
-
ACS

U. of Memphis

N

None

General C
omputer Science

Conventional in
-
class

Not Premium: $18K

36

MS
-
CS

Georgia

State

U.

Y

None

General C
omputer Science

Conventional in
-
class

Conventional

36


The comparison shows that there is a wide variation for program models and
curriculum content, as well as pricing and delivery, and that the MS
-
CS at KSU fills a unique niche with innovative program content.

The interdisciplinary option is completely unique, and when combined with the
targeted areas and unique student attendanc
e models and options, distinguishes the proposed MS
-
CS as a unique program with student options
that are not duplicated Georgia
.
Program Proposal: M.S. Computer Science, Kennesaw State University

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Job Trends for selected MS
-
CS research areas:


The MS
-
CS curriculum not only covers advanced topics in each essential area of computer science, but
also features the
-
state
-
of
-
the
-
art research topics in mobile computing, game development, and data
mining. In the following, we present our study of job t
rends for those featured knowledge themes
offered by the MS
-
CS by referring to indeed.com. Indeed.com analyzes job trends by first searching
millions of jobs from thousands of job sites and then counting the percentage of jobs that match a given
term.



1)
Mobile Application Development

The following figure shows that the number of jobs on Mobile App increases dramatically in
recent years (as of September 25, 2011).



2) Game Development

The following figure shows that the number of jobs on game deve
lopment has been in
uptrend since 2005 (as of September 25, 2011).


Program Proposal: M.S. Computer Science, Kennesaw State University

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3) Data Mining

The following figure shows that the number of jobs on game development has been in
uptrend since 2005 (as of September 25, 2011).


Program Proposal: M.S. Computer Science, Kennesaw State University

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4. Brief description

of institutional resources that will be used specifically for the program
(e.g., personnel, library, equipment, laboratories, supplies & expenses, capital expenditures
at program start
-
up and when the program undergoes its first comprehensive program
revi
ew.

The
MS
-
CS

is designed to be efficient in terms of section offerings and infrastructure
demands.



The MS
-
CS will absorb the resources being released by the MS
-
ACS program, which is
winding down.



Instructor demand/course offering c
overage will be suppor
ted by two

replacement faculty
hire
s

(retirement

and resignation
)
,

and existing faculty for the first two years.



Selected c
ourses in the program will require a
lab

fee
, generating a revenue
-
stream that
can be used to purchase software and hardware for
specific applied and hands
-
on courses,
including a simple robotics kit, while also generating a revenue stream to support the
instruction delivery technologies.



Distance
-
learning technology hardware and software will be supported by a per semester
program

fee
. Additional details in Appendix A.



Distance and online technology support will be provided by the CS department. The CS
department employs a technology support staff person
, and a faculty member (Lecturer)
with responsibilities for maintaining and a
dministrating our distance
-
learning
technologies.



Office supplies and administrative support will be provided by the CS department.



No additional library resources will be required.



No capital expenditures will be required.



The program will kick
-
off Fall 2
012, and as a new program, will be evaluated within the
department and college annually. The first comprehensive program review will be
conducted in 2016.




Program Proposal: M.S. Computer Science, Kennesaw State University

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5.
Curriculum: List the entire course of study required and recommended to complete the
degree
program. Provide a sample program of study that
would

be followed by a
representative student.

a. Clearly differentiate which courses are existing and which are newly developed

courses. Include the course titles as well as acronyms and credit hour re
quirements
a
ssociated with each course.

b. Append course descriptions for all courses (existing and new courses).

c. When describing required or elective courses, list all course prerequisites.

d. Provide documentation that all courses in the p
roposed

curriculum have met all
institutional requirements for approval.

e. Append materials available from national accred
iting agencies or professional
organizations as they relate to curriculum standards for the proposed program.

f. Indicate ways in which
the proposed program is consistent with national standards
.

g. If internships or field experiences are required as

part of the program, provide
information documenting internship availability
as well as how students will be
assigned and supervised.

h. In
dicate the adequacy of core offerings to support the new program.



Program Proposal: M.S. Computer Science, Kennesaw State University

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MS
-
CS Curriculum
:

30

minimum

hours completed
at KSU
.


NON
-
THESIS MODEL (Breadth Option):

12

-

18 hours of required computer science core coursework

12 hours of
electives/internship/coop/study
-
abroad

6 hours of Advanced Topics


THESIS MODEL (Depth Option):

12

-

18 hours of required computer science core coursework

6 hours of electives/Internship/coop/study
-
abroad

3

hours of Advanced Topics

9

hours of Thesis

minim
um


INTERDISCIPLINARY CS
MODEL
:

12

-

18 hours of required computer science core coursework

9 hours of
interdisciplinary graduate coursework from one of the following areas:

Applied Statistics




Information Systems

6 hours of
electives/internship/coop/study
-
abroad

3 hours of Advanced Topics

Required Common Core

12
-
18 Hours:
Students must satisfy the requirements of topic
coverage in each o
f the

following 6000
-
level core course a
reas, as approved by the program director.


CS
6010 Advanced Algorithms and Data Structures
,

3
-
0
-
3

Prereq: Program Admission.

Cross
-
list with CS 5010 for undergrad seniors.

CS 6020 Modern

Computing Systems,

3
-
0
-
3
.

Prereq: Program Admission.

Cross
-
list with CS 5020 for undergrad seniors.

CS

6030 A
gile Software Design

& Modern
Languages
,
3
-
0
-
3
.

Prereq: Program Admission.

Cross
-
list with CS 5030 for undergrad.

CS 6040 Computing Security
,

3
-
0
-
3.

Prereq: Program Admission.

Cross
-
list with CS 5040 for undergrad.

CS 6050 Advanced Database Systems,
3
-
0
-
3
.

Prereq: Program Admission.

Cross
-
list with CS 5050 for undergrad.

CS 6060
Wireless and
Mobile Computing,
3
-
0
-
3
.

Prereq: Program Admission.

Cross
-
list with CS 5060 for undergrad.





Program Proposal: M.S. Computer Science, Kennesaw State University

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Electives:
Building from Require
d

Core Courses

CS 7010
Modeling and Simulation
,

3
-
0
-
3
.

Prereq: CS 6010

CS 7015 Artificial Intelligence and Robotics,
3
-
0
-
3,

Prereq: CS 6010, CS 6020


CS 70
20

Game Design and Development,
3

hours,
3
-
0
-
3,

Prereq:
CS 6030

CS 7030 Mobile Device Application Development
,

3
-
0
-
3
.

Prereq: CS 6030
, CS 6060


CS 7040 Digital Forensics,
3

hours,
3
-
0
-
3,

Prereq: CS 6040

CS 7050 Data Warehousing & Mining
,

3
hour
s
, Fall off
ering.

Prereq:
CS 6010,
CS 6050

CS 7060 Mobile Intelligence
,

3
-
0
-
3
.

Prereq: CS 6060
, CS 7030

CS 7070
Advanced Networking Protocols
, 3
-
0
-
3

Prereq: CS 6060

CS 7090 Internship,
3
-
0
-
3
.

CS 7099 Special Topics in Computer Science
,

3
-
0
-
3.

Graduate Level
Interdisciplinary

Coursework
,

for which the students meet the
prerequisites.

Advanced Topics (Research &

Project Courses):
Building from Electives

Advanced Topics courses are seminar/research/project courses led by a faculty member. Content will
include individual and group project work, readings, internet work, self
-
study, seminar participation,
presentat
ions, hybrid teaching, and online content. MS
-
CS students are required to attend and present
in the department colloquium/seminar as part of their work in advanced topics courses. With
permission of the program director, each course may be taken twice
.

CS 7810 Advanced Topics in Modeling & Simulation
,

3 hours

Prereq: CS 7010

CS 7820 Advanced Topics in Game Design
,

3 hours

Prereq: CS 6010,
CS 7020

CS 783
0 Advanced Topics in Software Engineering
,

3 hours

Prereq:
CS 7020

CS 7850 Advanced Topics in Mining

& Intelligence
,

3 hours

Prereqs:
CS 7050

CS 7855 Advanced Topics in Database

Systems
,

3 hours

Prereqs: CS 7050

CS 7860 Advanced Topics
in
Wireless & Mobile Computing
,

3 hours

Prereqs:
CS 7060

Note on Advanced Topics and faculty workload: sections will be

counted toward faculty workload:

1
2

students = full course; 6
-
11

students = ½
course; 1
-
5

students = 1/3 course.

Courses will be offered on a staggered schedule and
also contingent

on student demand.


Program Proposal: M.S. Computer Science, Kennesaw State University

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Table 2.
MS
-
CS Course Prerequisite Structure
.

7000
-
level electives require 6000
-
level core prerequisites.


Advanced Topics Research/Project Courses

With 6000 and 7000
-
level prerequisites.

Core

Electives


7810

7820

78
30

7850

7855

7860

6050

7050






7050

7050


6010

7010



7010










6010





7015









6020

6030

7020




7020

7020




7030

7060







7060

6060

7070









6040

7040










KSU’s Accelerated Bachelor’s
-
Master’s Program:

The Accelerated Bachelor’s
-
Master’s Degree Option provides qualified KSU
undergraduate students the opportunity
to begin graduate studies at KSU in their senior year and to simultaneously satisfy some remaining requirements
for the bachelor’s degree and the beginning requirements of an advanced degree.


A student may use up to
nine credit hours of graduate
-
level courses offered within a single degree program in
meeting the requirements of both a bachelor’s degree and a master’s degree. Students applying for this program
must:

1.

Have completed at least 18 hours of coursework at Ken
nesaw State.


2.

Have a KSU GPA of 3.5 or better.


3.

Be within 21 semester hours of graduation.


4.

Have written permission of the chair of the department of the undergraduate major to use the graduate
level courses as acceptable substitutes to fulfill related req
uirements of the bachelor's degree (students
must satisfy all prerequisites for those graduate courses).


5.

Meet all requirements for admission into the specified graduate program (except for receipt of the
undergraduate degree); and


6.

Submit an application f
or admission to the Accelerated Bachelor’s
-
Master’s Degree Program, along with
all necessary admissions documentation to the Dean of the Graduate College by the deadline dates listed
below.


No more than nine semester hours of graduate credit may be comple
ted prior to the completion of the
baccalaureate degree and admission to a graduate degree program. An undergraduate student enrolled in graduate
classes is limited to six semester hours of graduate course work per term and a total academic course load of
12
semester hours per semester.

For students who work closely with their advisors in planning their course of study at KSU, this option offers the
opportunity of simultaneously satisfying partial degree requirements for a bachelor’s and a master’s degree
in an
accelerated program of study. Upon completion of the undergraduate degree, with a satisfactory undergraduate
grade point average, and a grade of “B ” or better in all graduate courses completed, the student may move to full
Program Proposal: M.S. Computer Science, Kennesaw State University

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graduate status in the sam
e graduate program, and the courses taken as an undergraduate can be applied toward
the graduate degree
.

Transfer Credit

A student may transfer up to six (6) semester hours of graduate courses taken at an accredited institution.

The
transfer of credit for

course work completed at another institution will be approved
upon meeting all of the
f
ollowing conditions:



The evaluation of the program director agrees that the content of the course corresponds to a MS
-
CS Core

course
; AND



A minimum grade of ‘B’ was rec
eived in the course; AND



The course was restricted to graduate students only; AND



The course work was completed at a regionally accredited institution;
AND



The credit to be considered for transfer will not be more than five years old at the time the studen
t
enters

the MS
-
CS program
.

Analysis of Alternative
Pathways to Complete the Degree

Students are required to complete a minimum of 30 hours of graduate work at KSU for the degree
.

Students may
transfer in up to 6 hours of core coursework. Students may participate in the Accelerated Bachelor’s


Master’s
program.


Table
4.
MS
-
CS Degree Completion Pathways

MODEL

Credit Hour
Category

Transfer 6
hours

of core

9 hours of Accel
erated

Bach
elor’s
-

Mas
ter’s

No Transfer/No
Accelerated BS
-
MS

Non

Thesis

Model

Hours of Core

12

9

18

Elective Hours

12

12

12

Advanced Topics Hours

6

6

6

Hours

at KSU (30 min.
)

30

36

36

Total Program Hours

36

36

36

Hours beyond the B.S.

36

27

36

Thesis

Model

Hours of Core

12

9

18

Elective Hours

6

6

6

Advanced Topics Hours

3

3

3

Thesis Hours (minimum)

9

9

9

Hours at KSU (30 min.)

30

36

36

Total Program Hours

36

36

36

Hours beyond the B.S.

36

27

36

Inter
-
D
isciplinary

Model

Hours of Core

12

9

18

Interdisciplinary Hours

9

9

9

Elective Hours

6

6

6

Advanced Topics Hours

3

3

3

Hours at KSU (30 min.)

30

36

36

Total Program Hours

36

36

36

Hours beyond the B.S.

36

27

36




Program Proposal: M.S. Computer Science, Kennesaw State University

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Master’s Thesis Process and Requirements:

Undertaking a
thesis project is by applic
ation, with specific milestones:

1.

Students should indicate their desire to pursue a thesis by the end of their first semester of study
,
to the program director.

2.

It is the student’s responsibility to discuss

possible thesis researc
h topics with a faculty member
who would become the student’s thesis committee chair.

3.

Upon agreement between the student and faculty member on a topic and methodology, a Thesis
Research Proposal will be created, which will be submitted to the program
director for formal
approval by the end of the students 2
nd

semester of study. The Thesis Research
Proposal must

include

as a minimum
:

a.

One paragraph topic description of the research topic, and why it is important to study.

b.

Research plan outline, that inc
ludes
the research methodology, and
projected
hardware
and software needs.

c.

Projected Timeline and Milestones

4.

A committee of three to five faculty members will form the thesis committee. Outside readers or
committee members are encouraged.

5.

The student and
committee chair will meet monthly at a minimum, and more frequently as
needed.

6.

The completed research must be defended in a formal presentation to the students committee,
other department faculty and interested students.

7.

Once approved by the committee, the

thesis will be formatted for binding in accordance with the
university’s requirements, with a bound copy to the student, library, and department. The
department will pay for the costs of binding.






CS 7999 Thesis,

Variable Hours.

Prereq: Approval of
Program Director




Program Proposal: M.S. Computer Science, Kennesaw State University

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Table 5.
Mapping of Program Learning
Outcomes

to Course
s

Program
Outcomes

Relevant Courses

P.
L.
O. 1:

Building on their undergraduate
education in computing, students will
master
advanced concepts across a targeted breadth of
computer science

study.


Required Common Core

12
-
18 Hours

CS 6010 Advanced Algorithms and Data Structures, 3 hours

CS 6020 Modern Computing Systems, 3 hours

CS 6030 Agile Software Design & Modern Languages, 3 hours.

CS 6040
Computing Security
, 3 hours

CS
6050 Advanced Database Systems, 3 hours,

CS 6060 Wireless
Protocols

and Mobile Computing, 3 hours

P.
L.
O.
2
:

Students will be required to
demonstrate that they
have

in
-
depth

knowledge
of at least two

fields within

computer science.

Electives:
Building
from Require Core Courses

CS 7010 Modeling and Simulation, 3 hours, Prereq: CS 6010

CS 7015

Artificial Intelligence and Robotics, 3 hours
,

Prereq: CS
6010
, CS 6020

CS 702
0 Game Design and Devel
opment, 3 hours, Prereq: CS 603
0

CS 7030 Mobile Device Application Development, 3
hrs
, Prereq: CS
6030
, CS 6060


CS 704
0
Digital Forensics, 3 hours, Prereq: CS 604
0

CS 7050 Data Warehousing & Mining, 3 hours, Prereq:
CS 6010,
CS
6050

CS 7060 Mobile Intelligence, 3 hours, Prereq: CS 6
060
, CS 7030

CS 7070
Advanced Networking Protocols
, 3 hours, Prereq: CS 6060

P.
L.
O.
3
:

Students will be required to
demonstrate that they can conduct graduate
-
level research in computer science (regardless
of the program option chosen)

in one area of
computer science research.

Advanced Topics (Research & Project Courses):

CS 7810 Advanced Topics in Modeling & Simulation, 3 hours

Prereq: CS 7010

CS 782
0 Advanced Topics in Game Design, 3 hours

Prereq: CS 6010,

CS 702
0

CS 783
0 Advanced

Topics in Software Engineering, 3 hours

Prereq:
CS 7020

CS 7850 Advanced Topics in Mining & Intelligence, 3 hours

Prereqs:
CS 7050

CS 7855 Advanced Topics in Database, 3 hours

Prereqs: CS 7050

CS 7860 Advanced Topics Wireless & Mobile Computing, 3 hours

Prereqs: CS 706
0

CS

709
9

Special Topics in Computer Science

3 hours

Prereqs:
Director permission

CS

7999 Thesis, Variable Hours

Prereqs:
Director permission

P.
L.
O.
4
:

Program option specific objectives.
Students will demonstrate their ability to
complete one of three program options

Formal Thesis

requirements OR

Interdiscipl
in
ary Concentration

of 9 hours

in a related area

OR

Additional in
-
depth study across the computer science discip
l
ine

P.
L.
O.
5
:

F
unction effectively in teams to
accomplish common
goals. A number of courses
will include group/team development projects

CS 6030 Agile Software Des
ign & Modern Languages, 3 hours

CS 7015

Artificial Intelligence and Robotics, 3 hours

Option
: CS 7040 Game
Design and Development, 3 hours

P.
L.
O.
6
:

Demonstrate the ability to deliver a
complete development project, meeting the
standards and requirements.


CS 6010 Advanced Algorithms and Data Structures, 3 hours

CS 6030 Agile Software Design & Modern Languages
, 3 hours.

CS 6050 Advanced Database Systems, 3 hours

Optionally:

CS 7010 Modeling and Simulation, 3 hours, Prereq: CS 6010

CS 7015

Artificial Intelligence and Robotics, 3 hours
,

Prereq: CS
6010
, CS 6020

CS 7020 Computing Security, 3 hours, Pre
req: CS
603
0

CS 7030 Mobile Device Application Development, 3 hrs, Prereq: CS
6030
, CS 6060


CS 7040 Game Design and Development, 3 hours, Prereq: CS 6040

CS 7050 Data Warehousing & Mining, 3 hours, Prereq: CS 6050

CS 7060 Mobile Intelligence, 3 hours, Prereq
: CS 6060



Program Proposal: M.S. Computer Science, Kennesaw State University

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MS Computer Science
Master
Course
Planning
:

2
-
Year
Full
-
Time
:



Fall 1

Credit
Hours



Spring 1

Credit
Hours





CS 6010

Adv. Alg. & Data Struct.

3


CS 6040

Computing Security

3


Course/section offering structure, and
prerequisite constraints.


Note the doubled use of course
-
sections to meet the needs of the two
offering schedules

(full
-
time and part
-
time)
with a single course section
.






Summer course offerings will rotate.

CS 6020

Modern Computing Sys

3


CS 6050

Adv. Database Sys.

3


CS 6030

Agile SW & Mod. Lang.

3


CS 6060

Wireless & Mobile

3

























Fall
2

Credit
Hours



Spring 2

Credit
Hours


CS 70X0

Elective

3


CS 70X0

Elective

3


CS 70X0

Elective

3


CS 70X0

Elective

3


CS 70X0

Elective

3


CS 7
8XX

Advanced Topics

3






CS

7
8XX

Advanced Topics

3


CS 7
999

Thesis

3


CS 7
999

Thesis

6



















MS Computer Science Master Course Planning
:

2
-
Year
Part
-
Time
:


Fall
1

Credit
Hours



Spring
1

Credit
Hours



Sum
mer

1

Credit
Hours

CS 6010

Adv. Alg. & Data Struct.

3


CS 6040

Computing Security

3


CS 6030

Agile SW & Mod. Lang.

3

CS 6020

Modern Computing Sys

3


CS 6050

Adv. Database Sys.

3


CS 6060

Wireless & Mobile

3





























Fall
2

Credit
Hours



Spring 2

Credit
Hours



Sum
mer

2

Credit
Hours

CS 70X0

Elective

3


CS 70X0

Elective

3





CS 70X0

Elective

3


CS 70X0

Elective

3









CS 7
8X
X

Advanced Topics

3


CS 7
8XX

Advanced Topics

3












CS 7
999

Thesis

3
-
6


CS 7
999

Thesis

3
-
6


CS 7
999

Thesis

3
-
6




















Steady
-
state unique

sections:

6




6




2


Program Proposal: M.S. Computer Science, Kennesaw State University

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MS Computer Science Plan
-
of
-
Study
Full
-
Time
:

THESIS


Fall 1

Credit
Hours



Spring 1

Credit
Hours





CS 6010

Adv. Alg. & Data
Struct.

3


CS 6040

Computing Security

3


Course/section offering structure, and
prerequisite constraints.


Note the doubled use of course
-
sections to meet the needs of the two
offering schedules with a single
course.







Summer course offerings will
rotate.

CS 6020

Modern Computing Sys

3


CS 6050

Adv. Database Sys.

3


CS 6030

Agile SW & Mod. Lang.

3


CS 6060

Wireless & Mobile

3










Total Semester Hours

9


Total Semester Hours

9











Fall
2

Credit
Hours



Spring 2

Credit
Hours


CS 70X0

Elective

3






CS 70X0

Elective

3










CS 7
8XX

Advanced Topics

3


CS 7
999

Thesis

3


CS 7
999

Thesis

6










Total Semester Hours

9


Total Semester Hours

9













MS Computer Science Plan
-
of
-
Study
Part
-
Time
:

THESIS


Fall
1

Credit
Hours



Spring
1

Credit
Hours



Sum
mer

1

Credit
Hours

CS 6010

Adv. Alg. & Data Struct.

3


CS 6040

Computing Security

3


CS
6030

Agile SW & Mod. Lang.

3

CS 6020

Modern Computing Sys

3


CS 6050

Adv. Database Sys.

3


CS 6060

Wireless & Mobile

3












Total Semester Hours

6


Total Semester Hours

6


Total Semester Hours

6










Fall
2

Credit
Hours



Spring 2

Credit
Hours



Sum
mer

2

Credit
Hours

CS 70X0

Elective

3









CS 70X0

Elective

3













CS 7
8XX

Advanced Topics

3









CS 7
999

Thesis

3


CS 7
999

Thesis

6

Total Semester Hours

6


Total Semester Hours

6


Total Semester Hours

6























Program Proposal: M.S. Computer Science, Kennesaw State University

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MS Computer Science Plan
-
of
-
Study
Full
-
Time
:

NON
-
THESIS


Fall 1

Credit
Hours



Spring 1

Credit
Hours





CS 6010

Adv. Alg. & Data Struct.

3


CS 6040

Computing Security

3


Course/section offering structure, and
prerequisite constraints.


Note the
doubled use of course
-
sections to meet the needs of the two
offering schedules with a single
course.







Summer course offerings will rotate.

CS 6020

Modern Computing Sys

3


CS 6050

Adv. Database Sys.

3


CS 6030

Agile SW & Mod. Lang.

3


CS 6060

Wireless & Mobile

3










Total Semester Hours

9


Total Semester Hours

9











Fall
2

Credit
Hours



Spring 2

Credit
Hours


CS 70X0

Elective

3


CS 70X0

Elective

3


CS 70X0

Elective

3






CS
70X0

Elective

3


CS 7
8X0

Advanced Topics

3






CS 7
8X0

Advanced Topics

3










Total Semester Hours

9


Total Semester Hours

9













MS Computer Science Plan
-
of
-
Study
Part
-
Time
:

NON
-
THESIS


Fall
1

Credit
Hours



Spring
1

Credit
Hours



Sum
mer

1

Credit
Hours

CS 6010

Adv. Alg. & Data Struct.

3


CS 6040

Computing Security

3


CS 6030

Agile SW & Mod. Lang.

3

CS 6020

Modern Computing Sys

3


CS 6050

Adv. Database Sys.

3


CS 6060

Wireless & Mobile

3












Total Semester Hours

6


Total Semester Hours

6


Total Semester Hours

6










Fall
2

Credit
Hours



Spring 2

Credit
Hours



Sum
mer

2

Credit
Hours

CS 70X0

Elective

3


CS 70X0

Elective

3





CS 70X0

Elective

3


CS 70X0

Elective

3


CS 7
8XX

Advanced Topics

3









CS 7
8XX

Advanced Topics

3












Total Semester Hours

6


Total Semester Hours

6


Total Semester Hours

6






















Program Proposal: M.S. Computer Science, Kennesaw State University

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MS Computer Science Plan
-
of
-
Study
Full
-
Time
:

INTERDISCIPLINARY CS


Fall 1

Credit
Hours



Spring 1

Credit
Hours





CS 6010

Adv. Alg. & Data Struct.

3


CS 6040

Computing Security

3


Course/section offering structure, and
prerequisite constraints.


Note the doubled use of course
-
sections to meet the needs of the two
offering schedules.








Summer course offerings will rotate.

CS 6020

Modern Computing Sys

3


CS 6050

Adv. Database Sys.

3


CS 6030

Agile SW & Mod. Lang.

3


CS 6060

Wireless &
Mobile

3










Total Semester Hours

9


Total Semester Hours

9











Fall
2

Credit
Hours



Spring 2

Credit
Hours


CS 70X0

Elective

3


CS 70X0

Elective

3


Interdisc.

Applied Stat or Info. Sys.

3


Interdisc.

Applied Stat or Info. Sys.

3


Interdisc.

Applied Stat or Info. Sys.

3










CS 7
8X0

Advanced Topics

3










To
tal Semester Hours

9


Total Semester Hours

9













MS Computer Science Plan
-
of
-
Study
Part
-
Time
:

INTERDISCIPLINARY CS


Fall
1

Credit
Hours



Spring
1

Credit
Hours



Sum
mer

1

Credit
Hours

CS 6010

Adv. Alg. & Data Struct.

3


CS 6040

Computing
Security

3


CS 6030

Agile SW & Mod. Lang.

3

CS 6020

Modern Computing Sys

3


CS 6050

Adv. Database Sys.

3


CS 6060

Wireless & Mobile

3












Total Semester Hours

6


Total Semester Hours

6


Total Semester Hours

6










Fall
2

Credit
Hours



Spring 2

Credit
Hours



Sum
mer

2

Credit
Hours

CS 70X0

Elective

3


CS 70X0

Elective

3





Interdisc.

Applied Stat or Info. Sys.

3


Interdisc.

Applied Stat or Info. Sys.

3


Interdisc.

Applied Stat or Info. Sys.

3









CS 7
8XX

Advanced Topics

3












Total Semester Hours

6


Total Semester Hours

6


Total Semester Hours

6






















Program Proposal: M.S. Computer Science, Kennesaw State University

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MS
-
CS Course
Descriptions


CS 6010
Advanced Algorithms and Data Structures,
3
-
0
-
3

Prerequisites Program Admission

This course covers advanced topics in algorithms and data structures
, including advanced solutions
to basic data structuring problems, String algorithms,
Linear programming, approximation
algorithms, fixed
-
parameter algorithms, parallel algorithms, and external
-
memory algorithms.


CS 6020

Modern Computing Systems
, 3
-
0
-
3

Prerequisites Program Admission

This course focuses on advanced topics in modern computer architecture, recent developments in
grid and cloud computing, Enterprise Systems architectures, and recent developments in operating
systems design, including mobile platforms. The course includes
a review of architecture and
operating systems foundation and performance
-
optimization concepts.

CS 603
0 Agile Software Design & Modern Languages
, 3
-
0
-
3

Prerequisites Program Admission

Study of Agile development methodology with emphasis on the agile proc
ess and methodologies.
Study of programming languages including scripting languages.

CS
6040
Computing Security

3
-
0
-
3

Prerequisites Program Admission

This course covers concepts and practices in computer and network security. This includes topics
such as
cryptography, authentication, authorization, secure protocols and principles for developing
secure software. Applications will include using security frameworks to develop software and
configuring security support systems.

CS 6050 Advanced Database Systems
, 3
-
0
-
3

Prerequisites Program Admission

This course includes advanced topics such as database security, database forensics,

active
databases, deductive databases, temporal databases, object
-
relational databases,

object
-
oriented
databases, distributed datab
ases, and multimedia database systems.

Team proje
cts will be assigned
.

CS 6060
Wireless and
Mobile Computing,
3
-
0
-
3

Prerequisites

Program Admission

This course covers concepts of mobile computing and current technologies including mobile
c
ommunication, the

2G and 3G communication systems
, mobile IP, and mobile TCP. This w
ill
a
lso
include coverage of databases in mobile systems, methods of data caching,
d
issemination and
synchronization, Bluetooth, IrDA and Z
igBee protocols, data security, m
obile ad hoc an
d wireless
sensor networks, and languages and operat
ing systems for mobile devices.



Program Proposal: M.S. Computer Science, Kennesaw State University

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CS 7010 Modeling and Simulation
, 3
-
0
-
3

Prerequisite: CS6010 Adv Algorithms and Data Structures

This course will cover

modeling and simulation of real
-
world systems using object
-
oriented discrete
-
event

simulation techniques and methods. The course emphasizes the design and implementation
of

simulation models with programming in an object
-
oriented simulation language, OOSi
mL.

Students will also be exposed to commercial integrated simulation software tools.

CS
7015
Artificial Intelligence and Robotics 3
-
0
-
3

Prerequisites:
CS 6010 Advanced Alg. and Data Struct.

and

CS 6020 Modern Computing Systems

This course is an introducti
on to autonomous robotics, with a survey of AI methods and approaches
from search methods to neural networks. AI concepts needed to provide autonomous capability to

Robots will be covered. A robotics kit will be included to allow students to analyze, de
sign, build,
and test simple autonomous robotic systems that can interact with their environment to solve
problems.

CS
7020
Game Design and Development

3
-
0
-
3

Prerequisites: CS 6030 Agile Software Design & Modern Languages

An introduction to computer game
design, game design engines, 2D graphics, 3D graphics, mobile
device platforms, software design process for games, agile software design approach, game control
structures, and games as simulations. Also includes a discussion of Artificial Intelligence for

computer games. Students will work in teams to develop a game targeted for a specific platform.
Teams will develop their project, beta
-
test peer projects, and will make presentations.

CS 7030

Mobile Device Application Development
, 3
-
0
-
3

Prerequisites
CS 6030

Agile SW Des.

&

Modern Lang. and CS 6060 Wireless and Mobile Computing


T
his course covers the fundamental principles of developing applications targeted for
m
obile
platforms. Topics to be covered will include design requirements necessary to
a
ccom
modate limited
resources, working with the huma
n computer interface and making
use of services available on
mobile devices. Course presentations and student work will be in the context of development
methodologies.

CS 7040
Digital Forensics
,

3
-
0
-
3

Prerequisites: CS 6040
Computer Security

A comprehensive study of the technological, systematic inspection and analysis of the computing
systems and its contents for evidence or supportive evidence of a crime. Includes focus on

legal
systems, digital foren
sics and its relationship to other forensic disciplines, rules of evidence, search
and seizure, digital evidence, and media analysis.
Students will conduct in
-
depth research and
maintain advanced proficiency in tools, techniques, countermeasures, and trend
s in digital
forensics
field
.

CS 7050 D
ata Warehousing and Mining
, 3
-
0
-
3

Prerequisites
:

CS 6010 Advanced
Alg. and Data Struct. and

CS 6050 Advanced Database Systems
.

This course covers prominent algorithms and techniques for developing effective,
efficient, and

scalable data warehousing and data mining tools. Topics discussed in this course include:
data

visualization, data integration, data warehousing, online analytical processing, data cube

technology,

advanced pattern mining, advanced classific
ation analysis, advanced clustering analysis,
outlier

detection, data mining trends and research frontiers.

CS 7060 Mobile Intelligence,
3
-
0
-
3

Prerequisites
:

CS 7030 Mobile Device Application Develop
ment


This course covers advanced and/or intelligent mobi
le application development. Topics include
cross
-
platform mobile application development, mobile augmented reality, and mobile business
intelligence.

CS 7070

Advanced Networking Protocols
,
3
-
0
-
3

Prerequisites
:

CS 6060 Wireless and Mobile Computing

A
study of the modern networking protocols, including the TCP/IP protocol suite
,
addressing, IPV6,
routing, security.

Program Proposal: M.S. Computer Science, Kennesaw State University

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CS 7810 Advanced Topics in Modeling & Simulation,

3 hours

Prerequisites
:


CS 7010

Modeling and Simulation

This course
covers

various research/development topics in modeling and simulation. Course may be

taken
up to

6 credit hours as topics vary.

CS 7820 Advanced Topics in Game Design,

3 hours

Prerequisites
:

CS 6010

Advanced Algorithms and Data Structures
, CS 7020

Game Design a
nd
Development

This course
covers

various research/development topics in game design. Course may be taken

for

up
to

6 credit hours as topics vary.

CS 7830 Advanced Topics in Software Engineering,

3 hours

Prerequisites
:

CS 7020

Game Design and Development

This course covers

various research/development topics in software engineering. Course may be
taken
for
up to

6 credit hours as topics vary.

CS 7850 Advanced Topics in Mining & Intelligence,

3 hours

Prerequisites
:

CS 7050

Data Warehousing and Mining

This
course covers

various research/development topics in mining and intelligence. Course may be
taken
for
up to

6 credit hours as topics vary.

CS 7855 Advanced Topics in Database Systems,

3 hours

Prerequisites
:

CS 7050

Data Warehousing and Mining

This course c
overs

various research/development topics in database systems. Course may be taken
for
up to

6 credit hours as topics vary.

CS 7860 Advanced Topics in Wireless & Mobile Computing,

3 hours

Prerequisites
:

CS 7060

Mobile Intelligence

This course covers

variou
s research/development topics in wireless & mobile computing. Course
may be taken

for

up to

6 credit hours as topics vary.

CS
70
90
Internship
,
3
-
0
-
3

Prerequisites
: permission of program director.

This course provides a supervised, credit
-
earning experience of research or development in
computer science with an approved organization or institution. Each student will also be required to
complete a research/development project.

CS
7099 Special Topi
cs in Computer Science
, 3
-
0
-
3

Prerequisites
: depending on topic

This course covers selected advanced topics in computer science that are interests to faculty and
students.


CS
7999 Thesis
,
3
-
0
-
3(Repeatable until thesis is complete; 9 hours minimum)

Prerequisites
: permission of program director.

Candidates will conduct thesis research in computer science and complete their theses under the
direction of university supervisors who serve as their major professors.




Program Proposal: M.S. Computer Science, Kennesaw State University

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6
.
Admissions criteria
.

1.

Combined G
RE/GPA scores greater than or equal to 1700, using the following
formula:
(GPA on a 4
-
point scale)


(GPA × 100) + (GRE
-
quantitative × 2) + GRE
-
verbal

2.

BS or BA
from an accredited university

with a major in
Computer Science or closely
related

field
,

with a
minimum
combined average of 3.0

(on a 4
-
point scale)

in
coursework covering
the following
areas:

2.1.

D
ata structures

2.2.

Computer Organization & Architecture

2.3.

O
perating systems

2.4.

S
oftware development

2.5.

D
atabase

2.6.

D
ata communications

or networking

2.7.

C
alculus including limi
ts and sequences

2.8.

P
robability and statistics

Students lacking coursework in
no more than two

of the above eight coursework areas,
may be admitted to the MS
-
CS with conditional status, and required to complete the
appropriate undergraduate course(s) at KSU i
n by the end of their second semester of
study.


Students that do not complete these courses
with a grade of ‘B’ or better
will not
be allowed to continue taking graduate courses

3.

Evidence of
competency in programming in

Java and at least one other programming
language.
This requirement can be met by grades of A or B in
appropriate
coursework

and/or submission of representative programs

4.

Two letters of recommendation.

5.

Meet a
ll KSU Graduate College Admissions Requirements


7. Availability of assistantships (if applicable).

Graduate Research Assistantships are provided & funded by the Graduate Dean’s
office. The MS
-
CS program will also fund Teaching Assistantships.


8. Student learning outcomes and other associated outcome
s of the proposed program.

Table 7
.
Program Learning Outcomes

(from Table 5)

P.
L.
O. 1:

Building on their undergraduate education in computing, students will master advanced concepts
across a targeted breadth of computer science study.

P.
L.
O.
2
:

Students

will be required to demonstrate that they have in
-
depth knowledge of at least two fields
within computer science.

P.
L.
O.
3
:

Students will be required to demonstrate that they can conduct graduate
-
level research in
computer science (regardless of the prog
ram option chosen) in one area of computer science research.

P.
L.
O.
4
:

Program option specific objectives. Students will demonstrate their ability to complete one of
three program options

P.
L.
O.
5
:

Function effectively in teams to accomplish common goal
s. A number of courses will include
group/team development projects
.

P.
L.
O.
6
:

Demonstrate the ability to deliver a complete development project, meeting the standards and
requirements.




Program Proposal: M.S. Computer Science, Kennesaw State University

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9. Administration of the program:


a. Indicate

where the program will be housed within the academic units of the institution.


b. Describe the administration of the program inclusive of coordination and

responsibility.

Housed within the Department of Computer Science, within the College of Science
and Math.

The program will be coordinated by a faculty member recei
ving one course release
per semester
, with assistance by the department chair and department staff.


10. Waiver to Degree
-
Credit Hour

(if applicable): If the program exceeds the maximum
c
redit hour requirement at a specific degree level, then provide an explanation supporting the
increase in hours (Note: The maximum for bachelor’s degrees is 120
-
semester credit hours and
the maximum for master’s degrees is 36
-
semester credit hours).


Not a
pplicable.


11. Accreditation
: Describe disciplinary accreditation requirements associated with the
program (if applicable).

Not applicable.


12. Projected enrollment

for the program especially during the first three years of
implementation. Please i
ndicate whether enrollments will be cohort
-
based.


The program is not cohort based
.


Table 8
. Enrollment Projections

First Year

FY
2012

Second Year

FY

2013

Third Year

FY

2014

Fourth Year

FY

2015

I. ENROLLMENT PROJECTIONS





Student Majors





Shifted from other
KSU
programs


10 students per year shifting each from existing BS
-
CS and 10
from IS programs no longer existing (absorbed into the BBA).

0

0

0

0

New to the institution

(
10
% annual
growth
)

20

22

24

26

Continuing program enrollment

0

20

22

24

Cumulative
Total Majors


20

42

46

50

Program Proposal: M.S. Computer Science, Kennesaw State University

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13.

Faculty


a. Provide an inventory of faculty directly involved with the administration of the
program. For each faculty member, provide the following information:



Faculty Name


Rank

Highest
Degree

Degrees
Earned

Academic

Discipline

Current

Workload

Ying Xie

Associate
Professor

Ph.D.

Ph.D., MS,
BS

Computer
Science

MSACS
and MS
-
CS
Director

Ken
Hoganson

Professor

Ph.D.

Ph.D., MS,
BS

Computer
Science

Interim
Dept. Chair


Explanation of how workload

will be impacted by the new program:

Dr. Xie has a course
release each semester including summer for program administration. The MS
-
CS will replace
the MSACS with not appreciable change in administrative load. Dr. Hoganson is Interim
Department Chair,
who will continue to oversee all department degree programs.


Expected responsibilities in the program:

Dr. Ying Xie, MS
-
CS Director

Dr. Ken Hoganson, Interim Department Chair



Total Number of Faculty: _____________


b. If

it will be necessary to add faculty in order to begin the program, give the desired
qualifications of the persons to be added, with a timetable for adding new faculty and
plan for funding new positions.

The CS department is

NOT

planning to request an additional line as a requirement to
offer this new degree program, even when the program has rolled
-
out its complete
course offerings in

2015. However, it seems possible

that enrollment growth in the
department’s
other

programs may

justify a request for a new faculty line in 2014.





Program Proposal: M.S. Computer Science, Kennesaw State University

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CS Dept &
MS
-
CS

Faculty Section Coverage
:
Planning and Analysis



The CS department is currently supporting both the BS
-
CS and the MS
-
ACS with 10 teaching faculty
members, a bit under our allocated strength, due to a retirement and resignation. Courses are being
covered at this level without difficulty.
This MS
-
CS is r
eplacing the MS
-
ACS program.


For Fall 2012
, the department will have 14

teaching faculty members (two additional assistant
professors, one

additional lecturer; these positions use
current
budget lines
) with a additional section
teaching capacity of 11 add
itional courses per fall/spring term.


In addition, the department has backup/surge/growth capacity in the form of available adjunct faculty
and teaching assistants (graduate CS students), who will not be the instructor
-
of
-
record, but can
leverage a facu
lty member’s ability to teach a large section or two sections of the same course.
Faculty overload pay will not be utilized.


Table
9

analyzes the faculty teaching load capacity, as assigned for Fall 2011 and planned for Spring
2012. This analysis
does n
ot include the CS department chair, who will teach one course per year,
which can be regarded as fall teaching surge capacity

beginning in Fall 2012
.


Table 1
0

analyzes the assignment of teaching resources to programs, Fall

2011. The department is
supporting the BS
-
CS program, MS
-
ACS, and CSED Endorsement, with most of the teaching
capacity allocated the BS
-
CS program.


Projections for teaching capacity and program allocations for future

years are detailed in Tables 1
1
,
1
2
,

and 1
3
, demonstrating that the CS department has suffici
ent capacity to offer the new MS
-
CS
program, when currently open faculty lines are filled.





Program Proposal: M.S. Computer Science, Kennesaw State University

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Table
9
.
CS Department Fall 2011 Teaching Capacity

Fall/Spring 2011/2012

Faculty

Fall

Spring

Research

Track Faculty

with 3
-
3 Teaching Load


Current Faculty Members


6

18

18

Vacant
Asst. Prof. Lines

2

0

0

Teaching
-
Service Faculty

on 4
-
4 Teaching Load


3

12

12

CS Lecturer Faculty
, with 5
-
5 Teaching Load


CS Lecturer 5
-
5 Teaching Load


1

5

5

Vacant

CS Lecturer Line 5
-
5 Teaching Load

1

0

0

Additional Adjunct and Emeritus


Emeritus Faculty Sections

-

2

2

Adjunct Faculty Sections

-

2

2

CS Section Offering Capability

-

39

39





Table
1
0
.
Fall 2011 CS Department Section Offerings & Allocations
















Fall 2011CS Department

Section Offerings

& Allocations

Percent of
Total

BS
-
CS Undergraduate

12

31%

77%

BS
-
CS Undergraduate Double
-
Load Sections (2301,
2302, 2350)

18

(9 sections)

46%

CSED Endorsement

1

2.6%

MS
-
ACS

4

10%

Math 3323 + Honors
Colloquium

1

2.6%

Total CS 2011 Section Offerings

36

92%

Admin loads/re
-
assignments

3

8%

Total CS 2011 Section Capacity

39

100%

Program Proposal: M.S. Computer Science, Kennesaw State University

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Table
1
1
.
Projected

CS Department Fall 2012 Teaching Capacity

Fall/Spring 2011/2012

Faculty

Fall

Spring

Research Track Faculty

with 3
-
3 Teaching Load




Current Faculty Members


6

18

18

Filled

Asst. Prof. Lines

2

6

6

Teaching
-
Service Faculty

on 4
-
4 Teaching Load


3

12

12

CS Lecturer Faculty
, with 5
-
5 Teaching Load




CS Lecturer 5
-
5 Teaching Load


1

5

5

Filled

CS Lecturer Line 5
-
5 Teaching Load

1

5

5

Additional Adjunct and Emeritus




Emeritus Faculty Sections

-

0

0

Adjunct Faculty Sections

-

0

0

CS Section Offering Capability

-

46

46





Table
1
2
.
Projected

Fall

2012 CS Department Section Offerings & Allocations

Projected

Fall 2012
CS Department

Section Offerings

& Allocations

Percent of
Total

BS
-
CS Undergraduate

12

31%

77%

BS
-
CS Undergraduate Double
-
Load Sections (2301,
2302, 2350)

16

(8 sections)

46%

CSED Endorsement

1

2.6%

MS
-
CS

3

10.0%

BA
-
AC
S
T

2

5.1%

Math 3323 + Honors Colloquium

1

2.6%

Total CS 2012 Section Offerings

35

92%

Admin loads/re
-
assignments

4

8.0%

Total CS 2012 Section Allocations

39

100.0%


CS Department Section Offering
Capability

46


Surge Emeritus Faculty Capacity

2


Surge Department Chair Section

1


Available
department
capacity for program
roll
-
out, growth and initiatives

10



This analysis demonstrate
s

that the CS department has the
instructor section
-
load
capacity to
support the
replacement MS degree
.


The new BA Applied Computer Science & Technology is expected to come
online in Fall of 2012.



Program Proposal: M.S. Computer Science, Kennesaw State University

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Table 1
3

highlights that as the new program rolls
-
out over time, with full demand reached in the
second
year of
the program reaching 3

sections in the fall to support the program, the section teaching
-
load
demands for department programs remains within the CS department capacity, with additional department
growth capacity remaining.


Table
1
3
.
Projected

Fall 2015 C
S Department Section Offerings & Allocations

Projected

Fall 2015

CS Department

Section Offerings

& Allocations

Percent of
Total

BS
-
CS Undergraduate

12

31%

77%

BS
-
CS Undergraduate Double
-
Load Sections (2301,
2302, 2350)

16

(8 sections)

46%

CSED Endorsement

1

2.1%

MS
-
CS

3

6.4%

BA
-
AC
S
T

10

27.0%

Math 3323 + Honors Colloquium

1

2.1%

Total CS 2015 Section Offerings

43

91.5%

Admin loads/re
-
assignments

4

8.5%

Total CS 2015 Section Allocations

47

100%


CS Department Section Offering
Capability

46


Surge Emeritus Faculty Capacity

2


Surge Department Chair Section

1


Available
department
capacity for program
growth and initiatives

2





Program Proposal: M.S. Computer Science, Kennesaw State University

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14.

Fiscal, Facilities, Enrollment Impact, and Estimated Budget


a. Provide

a narrative that explains how current institutional resources will be expended

specifically for this program. Provide a narrative that explains how the institution will
fiscally support the establishment of the new program through the redirection of
exi
sting

resources

and acquisition of new resources
. Indicate whether the institution will submit a
request for new funds as part of its budget request. The narrative also needs to explain the
basis of the institution’s projections with regard

to anticipated

EFT, head count,
student
enrollment, estimated expenditures, and projected revenues.



First Year

FY
2012

Second Year

FY

2013

Third Year

FY

2014

Fourth Year

FY

2015

I. ENROLLMENT PROJECTIONS





Student Majors





Shifted from other
KSU
programs


10 students per year shifting each from existing BS
-
CS and
1
0
from IS programs no longer existing (absorbed into the BBA).

0

0

0

0

New to the institution

(
10
% annual
growth
)

2
0

22

24

26

Continuing program enrollment

0

20

22

24

Cumulative
Total Majors


20

42

46

50

Course Sections Satisfying Program Requirements






New

MS
-
CS

courses
introduced
per year

6

6

1

1


Cumulative MS
-
CS

course s
ections


Projecting one section
\

of each course will be offered.

6

12

1
3

14

Already
existing

course
sections needed

0

0

0

0

Total
Course Sections

Supporting Program

6

12

13

14






Credit Hours Generated by Those Courses





Enrollment in n
ew
MS
-
CS

courses

Estimating 21
credit
hours per year per student average

420

882

966

1050

Enrollment in existing courses

0

0

0

0

Total Credit Hours

420

882

966

1050






DEGREES AWARDED

Annual

0

20

22

24

Cumulative

0

20

42

66








Program Proposal: M.S. Computer Science, Kennesaw State University

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II. EXPENDITURES

EFT Dollars

EFT Dollars

EFT Dollars

EFT Dollars

CS
Personnel


reassigned or existing positions

1

2

2 1/3

2

2/3

CS Professors,
Professor cost projected at $9,000 per course



$27
,000

$54
,000

$63
,000

$72,0
00

CS Lecturer,

Lecturer cost projected at $6,000 per course

0

0

0

0

Administrators

(coordinator o
ne section
release per year)

$9,000

$9,000

$9,000

$9,000

Fringe Benefits

(30% professor & lecturer

& administrator
)

$10,800

$18,900

$21
,
6
00

$
24
,
3
00

Total Existing Personnel Costs

$46,800

$81,900

$
93,6
00

$1
05,3
00






Personnel


new positions

0

0

0

0

CS Professors,
Projected at $9,000 per course. 1/2 of a new
faculty position allocated to the new program in 2014

$0

$0

$0

$0

Adjunct

CS
Faculty
,

projected at $3,000 per course

$0

$0

$0

$0

Teaching
Assistants
,
projected at $9,000 for 3 sections

$0

$0

$0

$0

Fringe Benefits

(30% professor & T.A.s)

$0

$0

$0

$0

Total New Personnel Costs

$0

$0

$0

$0






Start
-
up Costs (one
-
time expenses)





Library/learning resources

$0

$0

$0

$0

AI & Robotics Lab
Equipment

$
6
,
00
0

$0

$0

$0

Distance Learning SW License

$
5,500

$0

$0

$0

Physical Facilities:
construction or major renovation

$0

$0

$0

$0

Total One
-
time Costs

$
11,50
0

$0

$0

$0






Operating Costs (recurring costs


base budget)





Course
-
Specific
Lab
Kits

& Licenses

(lab fee)

$2
,
0
00

$
4
,
000

$4
,
000

$4
,
000

Distance Learning Hardware

(program fee, App. B)

$
2
,
00
0

$4
,
0
00

$
4
,
0
00

$
4
,
0
00

Distance Learning Licenses

(program fee)

$
6
,
0
00

$1
2
,000

$1
2
,000

$1
2
,000

Student Events (program fee)

$4
,
000

$4
,
000

$4
,
000

$4
,
000

Student research SW & equip funding

(program fee)

$
3,5
00

$7
,
000

$7
,
000

$7
,
000

Library/learning resources

$0

$0

$0

$0

Total Recurring Costs

$
1
7,500

$31
,0
00

$3
1
,
0
00

$3
1,0
00
















GRAND TOTAL COSTS

$
7
5,800

$1
12,9
00

$1
24,6
00

$
136
,
3
00













Program Proposal: M.S. Computer Science, Kennesaw State University

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III. REVENUE SOURCES





Source of Funds





Reallocation of existing funds

$0

$0

$0

$0

New student workload





New Tuition

(est. at 5% over Fall 2011 tuition, enrollment in
new BS
-
ACT course sections only, 3 hours = $498, 6 hours =
$994)

$59,760

$116,532

$170,316

$271,704

Federal funds

$0

$0

$0

$0

Other grants

$0

$0

$0

$0

Program Fee

$13,500

$27,000

$27,000

$27,000

Course
-
Specific Lab Fees

$2000

$4000

$4000

$4000

New state allocation requested for budget hearing










Nature of Funds





Base budget





One
-
time

funds

$0

$0

$0

$0






GRAND TOTAL REVENUES

$75,2
60

$147
,
5
32

$201,3
16

$302,7
04






TOTAL REVENUES

less EXPENSES

(
D
oes not include state tuition formal revenu
e. Also does not
include a program growth factor.
)

($3,540)

$
34,6
32

$
76,7
16

$
166,4
04


Program Proposal: M.S. Computer Science, Kennesaw State University

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Facilities Information for New Academic Programs


Proposed Location for the Program: Clendenin Computer Science Building, KSU main campus

With the transition of the Information Systems programs (BS
-
IS, BS
-
ISA, MSIS) and faculty to Coles
College of Busines
s Administration, the Clendenin Computer Science Building will have sufficient
space to support the new program, with excess available for other College of Science and Math needs.


Floor area required for the program (gross and net square feet):
(1

classr
ooms)

2
000sqft


Type of spaces required:



Number of classrooms


______
1
_____



Number of labs



______0
our classrooms are equipped computers, and
double as labs



Number of offices



______0_____



Other spaces



______0______


No other facilities needed f
or this new program.


Place an “X” beside the appropriate selection:


___X_____

Existing facility will be used as is (area square footage):

2
000sqft


________

Existing facility will require modification (area square footage):




Projected renovation cost:



Estimated relocation cost:



Total funding required:



Source of Funding:



_________

Construction of new facilities will be required (area square footage):




Estimated construction cost:



Estimated total project cost:



Proposed source of funding:




List any infrastructure impacts that the program will have (i.e., parking, power, HVAC, etc.) and
indicated estimated cost and source of funding.


No new impacts.

Other comments:



Note: A system office Facilities Project Manager(through the Office

of Facilities) may contact
you with further questions separate from the review of the new academic program.





Program Proposal: M.S. Computer Science, Kennesaw State University

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Appendix A

M
S

Computer Science

Instruction Delivery


The
MS
-
CS

will utilize a variety of innovative technologies and pedagogical approaches for
delivering instruction. The program will utilize distance
-
learning and hybrid teaching as
appropriate at different levels, for the following reasons:



Infrastructure resourc
es:

hybrid teaching and distance
-
learning both reduced the
requirement for limited classroom space. KSU has been in a high
-
growth mode for years,
and as part of KSU’s strategic planning, is expected to continue to grow and mature toward
the 35,000
-
studen
t level. The innovative use of technology in this program will reduce the
requirement for state funding for new buildings and facilities.



Student Expectations:

Today’s undergraduate student have grown
-
up with technology
integrated in their lives, and bot
h enjoy and expect to be able to mingle their personal,
professional, and educational activities through the use of computing technology.



Facilitate Integrated Learning:

student success in the computing field is strongly tied to
computing work experience.

One of the goals of the MS
-
CS

is to enable and facilitate our
students
working coops and internships
, as part of a well
-
rounded computing education. We
also plan to utilize t
he ‘center” concept to bring
part
-
time work opportunities through
industry and
academic contracts. Courses offered using distance learning, both synchronous
distance
-
learning (live and remote), and asynchronous distance
-
learning (through recorded
lectures) greatly facilitate the ability of students to participate in work opportuniti
es.



Enhanced student learning:

through o
ur
previous masters degree
available as an online
program, as well as traditional in
-
class, we have found the all students, independently of their
preferred mode of class attendance, report enhanced learning through

the recording of
lectures. In
-
class lec
tures that are
streamed live to distance students, and also recorded for
student playback, allow students to repeat
a portion

or all of a recorded lecture to enhance
understanding.



Time and financial

cost of studen
t commuting
: hybrid and distance
-
learning techniques
reduce the frequency of student commuting to campus: saving students time and money,
reducing the need for limited campus parking, reducing traffic congestion on
Georgia’s
roads and highways, minimizin
g
environmental impacts, and saving

the student

s vehicle
wear
-
and
-
tear and the cost of fuel.



Enhanced Access to Higher
-
Education for Georgians:

Combined, the above benefits of
using hybrid teaching and distance
-
learning, will enhance the accessibility of

a college
education for Georgia’s students, by facilitating
the opportunities for
students who need to
work
in order
to pay for college, by reducing the real cost to the student of attending college,
and by enhancing student learning while in our classes.


The MS
-
CS

technology and pedagogy will be based on the successful model introduced with the
MS
-
ACS program, in use
since 2002,
where traditional

in
-
class lectures are
also
streamed live
over the internet, and
are
also recorded for later playback. The ability of students to review
recorded lectures is a value
-
adding feature that enhances student learning and success.
T
he
system also allows students to make remote presentations to the i
nstructor and fellow students.



Program Proposal: M.S. Computer Science, Kennesaw State University

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The technology and pedagogy used by the MSACS program (being replaced by this MS
-
CS
proposal) has been published in peer reviewed venues. A sample of pub
lications:


Hoganson, K., “Distance
-
Learning and Converging Mobile Devices
”. Proceedings of the 2009
International Conference on Information Technology, New Generations

(ITNG’09), April 27
-
29,
2009 , Las Vegas, NV, USA
.


K. Hoganson, D. Lebron, “Lectures

for Mobile Devices, Evaluating “iPOD/PDA
-
casting”
Technology and Pedagogy.

Proceedings of the 4
th

International Conference on Information
Technology: New Generations

(IEEE), April 2
-
4, 2007 , Las Vegas, NV, USA.


K. Hoganson, “Integrating iPOD/PDA
-
content

in a CS program with Integrated Distance
Technology”,
Proceedings of the 2006 International Conference on Frontiers in Education
:
Computer Science & Computer Engineering, June 26
-
29
, 2006
, Las Vegas, NV, USA.


Program Proposal: M.S. Computer Science, Kennesaw State University

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Appendix B. MS-CS Program Fees
Steady-state estimates
MS-CS Conventional Tuition Program Revenue Calculation From Fees
Conservative yearly matriculation students per year
20
TOTAL
40
students
students
PROGRAM FEE
Program Fee Revenue
BALANCE
Program Fee per student per semester
$250.00
per semester
$10,000.00
Three semesters per year (summer est. at 70% of fall/spring)
#of-sem.
2.7
$27,000.00
Program Fee Expendatures
Marketing, Recruiting, Student Events
$4,000.00
$23,000.00
Distance Learning Software licenses
$12,000.00
$11,000.00
Distance technology equipment
$4,000.00
$7,000.00
Other Lab Equipment & Software
$7,000.00
$0.00

Program Proposal: M.S. Computer Science, Kennesaw State University

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Appendix C Lab Fees











Table 1
4
.
$70
Lab Fee Revenue Calculations

MS
-
CS

Course

Projected

Enrollment

Lab Fee Per
Student

Lab Fees

FY 12

Lab Fees

FY 13

Lab Fees

FY 14

Lab Fees

FY 15

CS 6040 AI & Robotics


20

$10
0

$
20
00

$
20
00

$
20
00

$
20
00

CS 606
0 Mobile Dev.
Devel.

20

$10
0

$
20
00

$
20
00

$
20
00

$
20
00

Total Lab Fees



$
4,000

$
4,000

$
4,000

$
4,000








Table 1
5
. Lab Fee
Expenses
Calculations

MS
-
CS

Course

Cost per
Kit/
Seat

Number of
Kits/
Seats

Technology
Total Cost

Replacement
Cycle

Annual
Cost

Annual
Enroll
ment

Per Student
Lab Fee

CS 6040 AI & Robotics

$40
0

15

$
60
00

3

$
20
00

20

$10
0

CS 606
0 Mobile Dev. Devel

$200

20

$4000

2

$2000

20

$100