TX

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

University of Dallas

MS in Data Science & AI

  • Irving
About This Program

This STEM-designated program focuses on using data analytics and artificial intelligence to support ethical business decisions. It emphasizes practical tools and the human dimensions of technology.

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What You'll Learn

Students learn programming with AI-powered assistants, quantitative reasoning, and predictive modeling. They also master data visualization and storytelling to translate complex findings for business stakeholders.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 36-hour curriculum features courses in cloud computing, SQL, and business applications of AI. It includes experiential AI projects and topics like forecasting and ethical data use.
Typical Course Topics
1. Machine Learning and Deep Learning 2. Statistical Methods and Probability 3. Data Engineering and Database Systems 4. Predictive Analytics and Prescriptive Analytics 5. Data Visualization and Communication 6. Applied AI and Neural Networks
Program Specializations:
Machine Learning
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree with a strong foundation in mathematics, statistics, or computer science, along with a competitive GPA (3.0+). Some programs require GRE scores, though many have made them optional.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional (varies by program)
• 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 data analytics expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Data Scientist: $120,000 Machine Learning Engineer: $135,000 AI/ML Specialist: $128,000 Analytics Manager: $125,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. Machine Learning Engineer 3. AI Specialist / AI Consultant 4. Business Analytics Manager
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Microsoft, Meta, as well as financial firms, healthcare organizations, and consulting companies leveraging AI and data science capabilities.
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Program Details
Duration
  • 1.5 Year
Tuition
  • 28,080
Format
On-Campus, Hybrid
Specializations
Machine Learning
MLOps/AI Engineering
Official Resources
Program Website
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