COMPUTER SCIENCE
The University of Tennessee-Knoxville
The Tickle College of Engineering offers a Master of Science in Computer Science to qualified applicants. Candidates for the MS program are expected to possess a Bachelor of Science degree in Computer Science or related field.
Credits
30 credits
Skills developed through this program
No specific skills listed.
Occupations this program prepares you for
- Computer Science Teachers, Postsecondary25-1021.00
- Clinical Data Managers15-2051.02
- Business Intelligence Analysts15-2051.01
- Data Scientists15-2051.00
- Information Technology Project Managers15-1299.09
- Computer Systems Engineers/Architects15-1299.08
- Blockchain Engineers15-1299.07
- Digital Forensics Analysts15-1299.06
- Information Security Engineers15-1299.05
- Penetration Testers15-1299.04
- Document Management Specialists15-1299.03
- Geographic Information Systems Technologists and Technicians15-1299.02
- Web Administrators15-1299.01
- Computer Occupations, All Other15-1299.00
- Video Game Designers15-1255.01
- Web and Digital Interface Designers15-1255.00
- Web Developers15-1254.00
- Software Quality Assurance Analysts and Testers15-1253.00
- Software Developers15-1252.00
- Computer Programmers15-1251.00
- Data Warehousing Specialists15-1243.01
- Database Architects15-1243.00
- Computer Network Support Specialists15-1231.00
- Computer and Information Research Scientists15-1221.00
- Information Security Analysts15-1212.00
- Computer and Information Systems Managers11-3021.00
Credentials this program stacks toward
No program pathways.
Detailed information about this program
Concentrations (Optional) and Options Available
Computational Imaging — Thesis, Project, Course Only without Comprehensive Exams
Computer-Human Interaction — Thesis, Project, Course Only without Comprehensive Exams
Cybersecurity — Thesis, Project, Course Only without Comprehensive Exams
Cyberinfrastructure — Thesis, Project, Course Only without Comprehensive Exams
Data Analytics — Thesis, Project, Course Only without Comprehensive Exams
Data Mining — Thesis, Project, Course Only without Comprehensive Exams
Data Visualization — Thesis, Project, Course Only without Comprehensive Exams
Discrete Optimization
High Performance Computing — Thesis, Project, Course Only without Comprehensive Exams
Intelligent Systems and Machine Learning — Thesis, Project, Course Only without Comprehensive Exams
Life Science Applications — Thesis, Project, Course Only without Comprehensive Exams
Software Systems — Thesis, Project, Course Only without Comprehensive Exams
Admissions Standards/Procedure
- Applicants for admission to the MS program for computer science are expected to have completed a bachelor’s degree with an average of at least 3.00 out of 4.00, both overall and in the senior year.
- Two semesters of calculus plus two additional semesters of college mathematics (e.g. linear algebra, differential equations, probability) and a course in formal languages, as well as in systems programming, are required for admission.
- Applicants are required to submit scores from the general Graduate Record Examination (GRE) within the past three years and to have these scores sent to the Office of Graduate Admissions.
- A TOEFL score of 550 on the written exam or 80 on the Internet-based Test is required for non-native speakers of English, including those who have earned degrees at U.S. institutions.
- The score must be no more than two years old from the requested date of entry.
- Applicants who have received a degree from an accredited U.S. institution within the past two years are exempt from the TOEFL requirement.
- Applicants who hold the bachelor’s degree in fields other than computer science will be required to take selected undergraduate courses as determined by the applicant’s prior education and experience.
- The student will be admitted under non-degree status until the required undergraduate courses are successfully completed with a 3.00 average.
- An international student may not enroll as a non-degree student.
Non-Course Requirements
- In consultation with their advisor, students may select one of the following concentrations. Concentrations reflect research focus area and do not include specific course requirements:
- Computational Imaging
- Computer-Human Interaction
- Cybersecurity
- Cyberinfrastructure
- Data Analytics
- Data Mining
- Data Visualization
- Discrete Optimization
- High Performance Computing
- Intelligent Systems and Machine Learning
- Life Science Applications
- Software Systems
- Thesis Option: A final oral exam covering the thesis research.
- Project Option: A written final report or oral presentation may be required as determined by the advisor.
What you need to earn this credential
No requirements listed.
Eligible funding programs
No funding information available.
Scholarships
No scholarships listed.