University of Tennessee, Knoxville

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: Catalog expectations include a BS in computer science or a related field; non-CS majors may need undergraduate deficiency coursework with B or better. TOEFL thresholds apply for non-native English speakers as published. International applicants may face restrictions on non-degree enrollment while completing prerequisites.

About This Program

This listing isolates the on-campus MS CS concentration in intelligent systems and machine learning at UT Knoxville, distinct from distance concentrations such as cybersecurity or data mining tracks that are documented separately in the same catalog entry.

Career Outcomes

Knoxville-based MS in Computer Science with an Intelligent Systems and Machine Learning concentration and thesis, project, or coursework-only paths.

• 1. Machine Learning Engineer
• 2. Software Engineer
• 3. Research Engineer
• 4. PhD-bound researcher

What You'll Learn

• Complete the MS CS core graduate foundation expected for Knoxville MSCS students.
• Deepen in intelligent systems and machine learning via concentration electives and advisor-approved plans.
• Graduate through thesis defense, project report/presentation, or coursework-only pathways where permitted.
• Build depth suitable for industry ML roles or doctoral preparation depending on culminating option.

Curriculum Highlights

The University of Tennessee graduate catalog for the Computer Science MS specifies 30 graduate credit hours with optional concentrations. On the Knoxville campus, the Intelligent Systems and Machine Learning concentration may be completed under a thesis option (24 coursework hours plus at least 6 thesis credits), a project option (27 coursework hours plus 3 project credits), or coursework-only without comprehensive exams. Common graduate foundations include computer systems organization, advanced software engineering, compilers, operating systems, theory, and algorithms coursework as listed in the bulletin. At least two-thirds of total credits must be at the 500-level or above, with up to 6 graduate credits outside the department when approved.

Top Employers

Graduates feed Knoxville–Oak Ridge technology employers, Southeast corporate tech offices, and national R&D organizations; consult UT career outcomes for audited statistics.

Admissions

Catalog expectations include a BS in computer science or a related field; non-CS majors may need undergraduate deficiency coursework with B or better. TOEFL thresholds apply for non-native English speakers as published. International applicants may face restrictions on non-degree enrollment while completing prerequisites.

Application Materials

• Statement of purpose / objectives: Confirm department prompt
• Letters of recommendation: Typically required
• Resume: Required
• Transcripts: Official transcripts required
• English proficiency: As specified by Graduate Admissions

Academic Requirements

• Degree Required: Bachelor's (CS-related typical)
• GRE/GMAT: Verify current EECS/CS graduate policy
• TOEFL/IELTS: Per bulletin (e.g., TOEFL iBT 80 cited for international applicants)