Southeast Missouri State University

How this program compares

Budget-wise, $11.8K puts this master's program at the 6th percentile on cost — roughly 72% below the $42.9K average across 394 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

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. Coursework concentrates on Machine Learning and Data Science & Analytics. Most students complete it in about 2 years.

Estimated total tuition is $11.8K, below the $42.9K average for AI master's programs in our database and in the 6th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

It is one of 17 AI-related programs we track in Missouri, of which about 76% offer an online option. On price, it comes in cheaper than about 71% of the Missouri programs in our data, where typical tuition runs near $24.2K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Design and implement machine learning models for predictive analytics.

Career Outcomes

Southeast Missouri State University positions this master track for Data Scientist careers — typical offers cluster around $120,000. Its focus on Machine Learning and Data Science & Analytics maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 35% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Southeast Missouri State University's MS in Data Science generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions