Missouri University of Science and Technology

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: Cataloged expectations include competitive GRE scores, English proficiency minimums for international students, and strong preparation in algorithms, systems, theory, and discrete mathematics. GPA benchmarks apply as stated in the graduate admissions section.

About This Program

Rolla-based MSCS with nationally recognized research labs in data mining and applied computational intelligence; AI depth comes from elective and research choices rather than a freestanding AI degree title in the catalog overview page cited here.

Career Outcomes

31-credit MS in Computer Science with thesis or non-thesis options, seminar requirement, and graduate coursework spanning AI, data mining, and intelligent systems labs.

• 1. Software Engineer
• 2. Machine Learning Engineer
• 3. Cybersecurity / infrastructure engineer
• 4. PhD student

What You'll Learn

• Satisfy seminar and graduate credit rules for the chosen thesis or non-thesis plan.
• Access elective coursework in artificial intelligence, machine learning, and data mining as offered in the graduate course inventory.
• Leverage department labs and assistantship pathways described in the catalog.
• Prepare for PhD study or industry roles in software and intelligent systems.

Curriculum Highlights

Missouri S&T’s graduate catalog for computer science describes the M.S. in Computer Science as a 31 credit-hour program (thesis and non-thesis) requiring the graduate seminar course COMP SCI 6010. Department research themes cited in the catalog include intelligent systems, data mining, and critical infrastructure protection among others. Specific distribution of core vs elective credits follows the catalog year filed on an approved plan of study. Applicants should expect GRE thresholds and computer science core subject preparation as published in the catalog’s admissions section.

Top Employers

St. Louis corridor employers, defense contractors, and national technology firms recruit S&T engineering graduates; consult the department for quantitative placement metrics.

Admissions

Cataloged expectations include competitive GRE scores, English proficiency minimums for international students, and strong preparation in algorithms, systems, theory, and discrete mathematics. GPA benchmarks apply as stated in the graduate admissions section.

Application Materials

• Statement of purpose: Required
• Transcripts: Official transcripts required
• GRE: Verify current policy and scores
• Letters of recommendation: Confirm department requirements
• English proficiency where applicable

Academic Requirements

• Degree Required: Bachelor's with CS core competency expected
• GRE: Historically required—confirm waivers
• TOEFL/IELTS: Per catalog thresholds for non-native English speakers