Computer Science, M.S.

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Students in the M.S. in Computer Science have three options: thesis-, capstone-, or course-based. In addition to core courses, students select electives from focus and breadth courses. All required courses must be completed with a minimum overall average GPA of 3.0. Each course must be taken for a letter grade except for capstone and thesis courses.

Required credits: 30

Core for Thesis-, Capstone-, or Course-based Options

Two courses (6 credits)* from the following:

CS 555 - Computer Networks 3 credit(s)

And one of the following:

CS 557 - High Performance Computing 3 credit(s)
CS 565 - Principles of Database Systems 3 credit(s)

Focus Electives for Thesis-, Capstone-, or Course-based Options

Four courses (12 credits)* from the following:

Data Science Focus

CS 568 - Data Mining 3 credit(s)
CS 569 - Machine Learning 3 credit(s)
CS 570 - Application of Deep Learning 3 credit(s)
M 517 - Applied Engineering Statistics 3 credit(s)
CS 630 - Independent Study 3 credit(s) (If content has a Data Science focus.)

Cybersecurity Focus

CS 556 - Internet of Things 3 credit(s)
CS 580 - Information Assurance & Cryptography 3 credit(s)
CS 581 - Intrusion Detection and Security 3 credit(s)
CS 582 - Penetration Testing and Vulnerability 3 credit(s)
CS 630 - Independent Study 3 credit(s) (If content has a Cybersecurity focus.)

Breadth Electives for Thesis-, Capstone-, or Course-based Options

Two courses (6 credits)** from the following:

ECE 548 - Introduction to Robotics 3 credit(s)
ECE 549 - Advanced Robotics 3 credit(s)
EM 601 - Engineering Program Management 3 credit(s)
M 515 - Methods of Applied Mathematics I 3 credit(s)
ME 565 - Machine Vision and Robotics 3 credit(s)
QNT 730 - Business Data Mining 3 credit(s)
QNT 735 - Predictive Modeling 3 credit(s)
QNT 745 - Data Visualization 3 credit(s)

Additional Coursework Based on the Selected Option

Thesis-based Option

Complete six credits of thesis courses under the supervision of a faculty advisor over a course of two semesters. Students need to select a thesis committee consisting of a faculty advisor and two other faculty members at the beginning of the thesis work. One of the committee members must be from a department other than CS.

CS 673 - Master’s Thesis I 3 credit(s)
CS 674 - Master’s Thesis II 3 credit(s)

Capstone-based Option

Complete six credits of capstone courses under the supervision of a faculty advisor over the course of two semesters. Students need to select a capstone advisor at the beginning of the capstone project.

CS 671 - Master’s Capstone I 3 credit(s)
CS 672 - Master’s Capstone II 3 credit(s)

Course-based Option

Complete six additional credits from core and/or focus elective courses.

Notes

*Students may replace one focus elective with a core course.

**Students may replace breath-elective courses with core or focus courses approved by the graduate program coordinator or thesis committee.

Undergraduate CS students at UHart may also opt for the Fast-track 4+1 option. Students who pursue this option will take two courses from the M.S. in Computer Science curriculum as part of their undergraduate program in Computer Science. The courses (two maximum) will count towards both degrees.