Mississippi State University

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: Programming and mathematics prerequisites documented on program site; interdisciplinary applicants welcomed if deficiencies are addressed.

About This Program

MSU MSDS blends rigorous statistics training with computational ML coursework and lets students steer electives toward applied domains aligned to Mississippi economic strengths.

Career Outcomes

Interdisciplinary MSDS jointly administered by Computer Science & Engineering and Mathematics & Statistics with concentrations including manufacturing analytics and geospatial tracks.

• 1. Data Scientist
• 2. Manufacturing analytics engineer
• 3. Geospatial analyst
• 4. Agricultural autonomy specialist
• 5. Government analytics roles

What You'll Learn

• Statistical inference foundations at graduate depth.
• Applied ML coursework bridging Python-centric workflows.
• Concentration-driven domain literacy.
• Written and oral capstone communication expectations.

Curriculum Highlights

30-credit coursework-only master's pairing statistical inference coursework with computing-heavy ML modules and culminating capstone documentation—refer to official datascience.msstate.edu curriculum tables.

Top Employers

Manufacturing, agriculture-adjacent analytics, defense-adjacent contractors—confirm placement narratives via program contacts listed on the official site.

Admissions

Programming and mathematics prerequisites documented on program site; interdisciplinary applicants welcomed if deficiencies are addressed.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: Required
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• English proficiency for international applicants