MD

Master's in ML
On-Campus

University of Maryland, College Park | Master of Professional Studies in Machine Learning

  • College Park
About This Program

This professional graduate program emphasizes the art and science of extracting actionable information from large-scale data using cutting-edge techniques.

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What You'll Learn
  • Design and implement machine learning systems that integrate AI with human-centered approaches and user needs
  • Develop proficiency in machine learning algorithms including supervised and unsupervised learning, deep learning, and neural networks
  • Build and optimize computing systems for machine learning including software architecture, GPU/CPU utilization, and parallel processing
  • Apply machine learning techniques to real-world domains such as computer vision, natural language processing, and autonomous systems
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Master of Professional Studies in Machine Learning at the University of Maryland is a one-year full-time graduate program requiring 30 credits, designed to prepare students for careers in machine learning engineering, AI systems development, and data-driven applications.
Typical Course Topics
1. Principles of Machine Learning 2. Computing Systems for Machine Learning 3. Deep Learning and Neural Networks 4. Machine Learning Engineering and Deployment 5. Computer Vision and Perception Systems 6. Large Language Models and Generative AI
Program Specializations:
Computer Vision
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree with a strong foundation in mathematics and programming. The program typically requires a minimum GRE score of 309 (or GMAT equivalent of 639), an undergraduate GPA of 3.0 or higher, and one year of relevant work experience or equivalent professional background.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree in computer science, engineering, mathematics, or related field
• GRE/GMAT: GRE required (minimum 309)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official undergraduate transcripts required
• Application Fee: $75

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

Position as Data Scientist in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Machine Learning Engineer: $130,000 AI/ML Research Scientist: $125,000 Data Scientist: $120,000 Machine Learning Specialist: $115,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Systems Engineer 3. Data Scientist 4. Research Scientist (AI/ML)
Top AI Employers (Industry-Wide):
Top employers include technology companies such as Google, Microsoft, Meta, Amazon, OpenAI, and major research institutions; additional opportunities exist in finance, healthcare, autonomous systems, and government AI initiatives.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
$ 43,120
Format
On-Campus
Specializations
Computer Vision
Deep Learning
Official Resources
Program Website
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