The M.S. in Computer Science requires 30 credit hours with at least 24 credits in computer science (CSC) courses. Three options for the capstone experience are offered: comprehensive examination, project, or thesis. A concentration in Data Science and Big Data is available for Computer Science M.S. students.

For information regarding deadlines and requirements for admission, please see https://grs.uncg.edu/programs/.

Degree Program Requirements

Required: 30 credit hours

Course List

Code	Title	Credit Hours
Core Courses (9 credits)
CSC 654	Algorithm Analysis and Design	3
Select one course (3 credits) from the following:		3
CSC 652	Theory of Computation
CSC 656	Foundations of Computer Science
Select one course (3 credits) from the following:		3
CSC 640	Software Engineering
CSC 662	Principles of Operating Systems
CSC 671	Advanced Database Systems
CSC 677	Principles of Computer Networks
Track Courses (12 credits)
Select four courses (12 credits) from one of the following tracks:		12
Foundation and Algorithms Track
CSC 639	Introduction to Compiler Design
CSC 652	Theory of Computation
CSC 656	Foundations of Computer Science
CSC 685	Modern Cryptography
STA 631	Introduction to Probability
STA 651	Mathematical Statistics
Data Science and Big Data Track
CSC 605	Data Science *
CSC 607	Network Analysis
CSC 610	Big Data and Machine Learning *
CSC 616	Digital Image Processing
CSC 617	Deep Learning in Computer Vision
CSC 625	Bioinformatics
CSC 629	Artificial Intelligence
CSC 646	Natural Language Processing
CSC 674	Principles of Data Mining
CSC 671	Advanced Database Systems *
CSC 672	Database System Architecture
CSC 677	Principles of Computer Networks
STA 631	Introduction to Probability
STA 651	Mathematical Statistics
Systems and Networks Track
CSC 607	Network Analysis
CSC 629	Artificial Intelligence
CSC 640	Software Engineering
CSC 642	Human-Computer Interface Development
CSC 661	Principles of Computer Architecture
CSC 662	Principles of Operating Systems
CSC 671	Advanced Database Systems
CSC 677	Principles of Computer Networks
CSC 678	Principles of Wireless Networks
CSC 681	Principles of Computer Security
Electives (3-6 credits)
Select 3-6 credits of electives from other 600- or 700-level CSC courses **		3-6
Capstone Experience (6 or 3 credits)
Select one of the following options:		6 or 3
Thesis (6 credits)
CSC 699	Thesis
Project (3 credits)
CSC 698	Project in Computer Science
Capstone Course (3 credits)
CSC 696	Master's Capstone
Total Credit Hours		30

*

Students in the Data Science and Big Data Concentration must take CSC 605, CSC 610, and CSC 671 as part of their concentration requirements.

**

Depending on capstone option selected and with the prior approval of the Graduate Program Director. A number of selected courses from other departments are also available; interested students should contact the Graduate Program Director.

Thesis, Project, or Capstone Course Option (Capstone Experience)

All students will complete 30 credit hours of graduate-level work, as described above, where students may elect to use 6 credits for a thesis or 3 credits for a project or capstone course.

Thesis

The candidate may prepare a thesis based on the investigation of a topic in computer science. A thesis director will be appointed by the Department Head after consultation with the student and the Graduate Program Director. The writing of a thesis requires the scholarly exposition and documentation of a substantial problem. In some cases, this may lead to a new solution to the problem and to original results. While writing the thesis, candidates may include 6 credits of CSC 699 Thesis in the required 30 credits for the program. An oral examination on the thesis is required.

Project

The candidate may prepare a project (theoretical or programmed) based on a topic in computer science. The project may be work-related. A project director will be appointed by the Department Head after consultation with the student and the Graduate Program Director. The preparation of a project requires a description of the problem and documentation of any software products or description of theoretical solutions. While preparing the project, candidates may include 3 credits of CSC 698 Project in Computer Science in the required 30 credits for the program. An oral examination on the project is required.

Capstone Course

The candidate may take a seminar course, CSC 696 Master's Capstone, that focuses on professional technical communication, both written and oral. Students will synthesize work they have accomplished in the master's studies into a coherent portfolio with technical extensions as determined in the class. Students will also make oral presentations of their work in class. The design of this course makes it particularly suitable for students developing a technical portfolio for future work in industry.

Data Science and Big Data Concentration

Course List

Code	Title	Credit Hours
Core Courses (12 credits)
CSC 605	Data Science	3
CSC 610	Big Data and Machine Learning	3
CSC 654	Algorithm Analysis and Design	3
CSC 671	Advanced Database Systems	3
Elective Courses (3 credits)
Select one course (3 credits) from the following:		3
CSC 607	Network Analysis
CSC 616	Digital Image Processing
CSC 617	Deep Learning in Computer Vision
CSC 625	Bioinformatics
CSC 629	Artificial Intelligence
CSC 674	Principles of Data Mining
STA 635	Theory of Linear Regression
STA 661	Advanced Statistics in the Behavioral and Biological Sciences I
STA 682	Theory of Time Series
Total Credit Hours		15

 

Accelerated B.S. to M.S. in Computer Science

Application and Admission

Qualified UNC Greensboro undergraduate students who are pursuing the Bachelor of Science (B.S.) in Computer Science may apply for admission to the Accelerated Master's Program (AMP). A cumulative undergraduate GPA of at least 3.5 based on at least 30 credits earned at UNC Greensboro is required. Applicants must have completed at least 60 credits and may not apply for admission to the AMP before the first semester of the junior year. Applicants will not be required to take the GRE. All applicants must complete the Accelerated Master's Program information along with their application for admission to the graduate degree program.

Courses

Admitted students may apply the following 12 credits of graduate-level course work toward completion of both the undergraduate and graduate degree, provided that they earn a grade of B (3.0) or better in the course and fulfill graduate-level requirements:

Course List

Code	Title	Credit Hours
CSC 652	Theory of Computation	3
CSC 654	Algorithm Analysis and Design	3
CSC 662	Principles of Operating Systems	3
CSC 677	Principles of Computer Networks	3

Please consult with an advisor to determine how the course taken at the graduate level will meet requirements in the bachelor’s degree program. All degree requirements for the M.S. in Computer Science remain the same.