TX

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

University of Dallas

University of Dallas

  • 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 2. Deep Learning 3. Artificial Intelligence 4. Data Mining and Analysis 5. Natural Language Processing 6. Computer Vision
Program Specializations:
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, mathematics, statistics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in algorithms or statistics. GRE scores are often optional, and relevant work experience may strengthen applications.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• 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

Thrive as Data Scientist in Business 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
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 Research Scientist 4. Data Analyst
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, and Meta.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 46,800
Format
On-Campus, Hybrid
Specializations
MLOps/AI Engineering
Official Resources
Program Website
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