University of Tennessee, Knoxville

How this program compares

University of Tennessee, Knoxville's MS in Computer Science (Intelligent Systems and Machine Learning concentration) lists about $29K total tuition — roughly 32% below the $42.9K AI master's average (43rd percentile in our data). It runs on a full-time, part-time schedule (on-campus).

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. Most students complete it in about 2 years.

Complete the MS CS core graduate foundation expected for Knoxville MSCS students.

At roughly $29K total, University of Tennessee, Knoxville's MS in Computer Science (Intelligent Systems and Machine Learning concentration) sits below the $42.9K average among AI master's programs we track — the 43rd percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 12 AI-related programs we track in Tennessee, of which about 42% offer an online option. On price, it comes in cheaper than about 67% of the Tennessee programs in our data, where typical tuition runs near $45.1K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

The MS in Computer Science (Intelligent Systems and Machine Learning concentration) at University of Tennessee, Knoxville (Knoxville, Tennessee) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $120,000. Its focus on Machine Learning and Intelligent Systems maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to University of Tennessee, Knoxville's MS in Computer Science (Intelligent Systems and Machine Learning concentration) generally expects a bachelor's (cs-related typical). Plan for the GRE, which this program lists as verify current eecs/cs graduate policy. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

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

Frequently Asked Questions