TX

Master's in ML
On-Campus

The University of Texas at Dallas

MS in Systems Engineering & Management – AI and Machine Learning Concentration

  • Richardson
About This Program

A master’s degree program that bridges the gap between technical AI knowledge and strategic management skills to prepare graduates for leadership in multidisciplinary teams.

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What You'll Learn

Students gain expertise in designing and managing complex AI systems, utilizing knowledge mining, business analytics modeling, and data science in digital health.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 36-hour STEM program includes core engineering and management coursework with a concentration in AI and applied machine learning systems.
Typical Course Topics
1. AI Systems Engineering 2. Machine Learning for Systems Optimization 3. MLOps and AI Deployment 4. Model Reliability and Monitoring 5. Data Pipelines for AI Systems 6. Systems Integration with Deep Learning
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, mathematics, and systems analysis. Work experience in engineering or AI is preferred but not mandatory.
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

Advance as AI Engineer in Engineering AI with machine learning 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
Systems Engineer - AI/ML: $125,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Systems Engineer 2. ML Operations Engineer 3. Systems Integration Specialist - AI 4. AI Reliability Engineer
Top AI Employers (Industry-Wide):
Top employers include tech firms like Google, Amazon, Microsoft, and defense contractors such as Lockheed Martin and Raytheon.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 39,600
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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