SD

Master's in DS/DA
On-Campus, Online

Dakota State University

MS in Analytics and Applied AI

  • Madison
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.

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What You'll Learn

Students learn to utilize big data tools like Hadoop and Spark while developing expertise in predictive modeling, data visualization, and decision-making for large-scale organizations.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program structure features a core of analytics and applied AI courses with specialized tracks available in Business, Healthcare Analytics, and Information Systems.
Typical Course Topics
1. Predictive Analytics 2. Machine Learning Algorithms 3. Data Mining and Visualization 4. Applied Artificial Intelligence 5. Programming for Analytics 6. AI Model Deployment and Ethics
Program Specializations:
Machine Learning
MLOps/AI Engineering
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, statistics, or engineering with a minimum GPA of 3.0 is required; relevant work experience or prerequisite coursework in programming and statistics is preferred.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• 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.

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Career Opportunities in AI

Advance as Data Scientist in Cross-Industry AI with big data expertise

Estimated Industry Salary
Data Scientist: $120,000 AI Engineer: $125,000 Analytics Manager: $115,000
Total compensation (entry to mid-level)
AI Job Growth
35.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. AI/ML Engineer 3. Analytics Consultant 4. Applied AI Specialist
Top AI Employers (Industry-Wide):
Top employers include tech firms like Google, Amazon, Microsoft, and consulting companies such as Deloitte and Accenture.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 11,538
Format
On-Campus, Online
Specializations
Machine Learning
MLOps/AI Engineering
Official Resources
Program Website
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