TX

Master's in ML
On-Campus, Online, Hybrid

The University of Texas at Tyler

MS in Computer Science – Machine Learning Specialization

  • Tyler
About This Program

A graduate program providing broad competence in computer science along with the opportunity to specialize in machine learning and data analytics for a rapidly evolving industry.

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What You'll Learn

Students develop skills in preprocessing, classification, and neural networks, learning to apply AI techniques to solve complex software and networking problems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum consists of foundational core courses in operating systems and programming languages, combined with electives in machine learning and digital forensics.
Typical Course Topics
1. Machine Learning Algorithms and Theory 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. Statistical Methods for Machine Learning 6. Big Data Analytics and Distributed Computing
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related technical field with a minimum GPA of 3.0. Prior coursework in programming, linear algebra, calculus, and data structures is typically required; GRE scores are often optional for professional tracks.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree in computer science or related technical field
• GRE/GMAT: Optional for most MS programs
• 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 Machine Learning Engineer in Cross-Industry 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
Machine Learning Engineer: $130,000 Data Scientist: $125,000 AI Research Scientist: $135,000 Software Engineer (ML/AI): $128,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. AI Research Scientist 4. Analytics Engineer
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, Meta, Apple, OpenAI, and major financial institutions like JPMorgan Chase and Goldman Sachs.
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Program Details
Duration
  • 2 Year
Tuition
  • 19,380
Format
On-Campus, Online, Hybrid
Specializations
Machine Learning
Official Resources
Program Website
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