Wright 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: BS in CS or related field preferred; GPA ~3.0 with articulation on programming, data structures, OS, calculus, and linear algebra—deficiencies handled case-by-case.

About This Program

Wright State MSCS suits southwest Ohio professionals needing flexible modalities while deepening ML fundamentals tied to aerospace-adjacent hiring ecosystems.

Career Outcomes

30-semester-hour MSCS highlighting ML/AI and data-focused pathways alongside thesis or coursework-only structures per College of Engineering materials.

• 1. ML Engineer
• 2. Software Engineer
• 3. Analytics engineer
• 4. Dayton-region aerospace-adjacent tech
• 5. Remote US tech employers

What You'll Learn

• Graduate algorithms and systems maturity.
• Hands-on ML coursework suited to practitioner portfolios.
• Ethics-adjacent professionalism expectations through engineering graduate norms.

Curriculum Highlights

Balanced theory/software/hardware coursework with documented emphasis areas in machine learning, AI, visualization, databases, and data mining—confirm evening and online availability via departmental advising.

Top Employers

AFRL contractors, healthcare IT around Dayton, regional logistics automation—confirm via WSU career services.

Admissions

BS in CS or related field preferred; GPA ~3.0 with articulation on programming, data structures, OS, calculus, and linear algebra—deficiencies handled case-by-case.

Application Materials

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

Academic Requirements

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