MO

Master's in Data Science/AI
On-Campus, Online, Hybrid

Southeast Missouri State University | MS in Data Science

  • Cape Girardeau


About This Program

A 30-credit-hour graduate program built on a strong foundation of mathematics and computer science, preparing students to lead in a data-transformed world.

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What You'll Learn
  • Design and implement machine learning models for predictive analytics.
  • Analyze large-scale datasets using distributed computing frameworks.
  • Apply statistical inference to derive insights from complex data.
  • Develop data visualization tools to communicate findings effectively.
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Data Science is a two-year graduate program focusing on advanced statistical modeling, machine learning algorithms, big data analytics, and data visualization techniques.
Typical Course Topics
1. Machine Learning 2. Big Data Analytics 3. Statistical Methods for Data Science 4. Data Mining 5. Predictive Modeling 6. Data Visualization and Communication
Program Specializations:
Machine Learning
Data Science & Analytics
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in a related field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and relevant quantitative background.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Advance as Data Scientist in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Data Scientist: $120,000
Total compensation (entry to mid-level)
AI Job Growth
35%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. Machine Learning Engineer 3. Data Analyst 4. Business Intelligence Analyst
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Microsoft, and financial firms such as JPMorgan Chase and Goldman Sachs.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
$ 11,850
Format
On-Campus, Online, Hybrid
Specializations
Machine Learning
Data Science & Analytics
Official Resources
Program Website
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