Dakota State University

How this program compares

At an estimated $11.5K in total tuition, the MS in Analytics and Applied AI sits roughly 73% below the $42.9K average for AI master's programs in our database — placing it in the 5th percentile on cost among the 394 we track at this level. 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, statistics, or engineering with a minimum GPA of 3.0 is required; relevant work experience or prerequisite coursework in programming and statistics is preferred.

About This Program

This master's program focuses on transforming large, complex data sets into actionable insights using advanced AI technologies and business intelligence frameworks to solve organizational challenges. Coursework concentrates on Machine Learning and MLOps/AI Engineering. Most students complete it in about 2 years.

It is one of 9 AI-related programs we track in South Dakota, of which about 78% offer an online option. On price, it comes in cheaper than about 78% of the South Dakota programs in our data, where typical tuition runs near $22.8K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $115,000.

Design and implement machine learning models for predictive analytics.

Estimated total tuition is $11.5K, below the $42.9K average for AI master's programs in our database and in the 5th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Career Outcomes

Graduates of Dakota State University's MS in Analytics and Applied AI most often target Data Scientist roles, where reported compensation runs around $115,000. Its focus on Machine Learning and MLOps/AI Engineering 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. AI/ML Engineer
• 3. Analytics Consultant
• 4. Applied AI Specialist

What You'll Learn

• Design and implement machine learning models for predictive analytics.
• Apply AI techniques to process and analyze large datasets.
• Develop ethical AI solutions for business and industry applications.
• Evaluate and deploy analytics pipelines using programming tools.

Curriculum Highlights

The program structure features a core of analytics and applied AI courses with specialized tracks available in Business, Healthcare Analytics, and Information Systems.

Top Employers

Top employers include tech firms like Google, Amazon, Microsoft, and consulting companies such as Deloitte and Accenture.

Admissions

Admission to Dakota State University's MS in Analytics and Applied AI generally expects a bachelor's degree. The GRE is not required 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