Southeast Missouri 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: 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.

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.

Career Outcomes

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

• 1. Data Scientist
• 2. Machine Learning Engineer
• 3. Data Analyst
• 4. Business Intelligence Analyst

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.

Curriculum Highlights

Core courses include database systems and data mining, with specialized electives in cloud computing, machine learning, artificial intelligence, and advanced mathematics.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and financial firms such as JPMorgan Chase and Goldman Sachs.

Admissions

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.

Application Materials

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

Academic Requirements

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