University of Maryland, College Park
MS in Applied Machine Learning
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $43.1K in total tuition, the MS in Applied Machine Learning sits about 2% above the $42.4K average for AI master's programs in our database — placing it in the 64th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in a related field such as computer science, engineering, or mathematics with a minimum GPA of 3.0–3.5 is required, along with programming proficiency (e.g., Python) and often 1 year of relevant work experience. GRE scores around 309+ are typically expected, though optional in some cases.
About This Program
The University of Maryland's MS in Applied Machine Learning focuses squarely on the practical deployment of ML, backed by a top-ranked CS department and proximity to Washington, D.C.'s concentration of federal, defense, and research employers.
The applied orientation and D.C.-area access make this a strategic choice for students who want hands-on ML skills and a direct line into government and enterprise AI roles.
Why students choose it: Deployment-focused ML from a top CS department with D.C.-area federal and enterprise access.
Career Outcomes
Position as Machine Learning Engineer in Cross-Industry AI with deep learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. Computer Vision Specialist
What You'll Learn
- Implement supervised and unsupervised machine learning models on real datasets.
- Design and train deep neural networks, including transformers and generative models.
- Apply computer vision techniques for object detection and image analysis.
- Develop AI systems for robotics and autonomous applications.
- Engineer large language models for natural language processing tasks.
Curriculum Highlights
The 30-credit non-thesis curriculum features coursework in mathematics, statistics, big data analysis, computer vision, and robotics.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and government agencies such as DARPA and national labs.
Admissions
A bachelor's degree in a related field such as computer science, engineering, or mathematics with a minimum GPA of 3.0–3.5 is required, along with programming proficiency (e.g., Python) and often 1 year of relevant work experience. GRE scores around 309+ are typically expected, though optional in some cases.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional (GRE preferred, average 309+)
- TOEFL/IELTS: Required for international students (TOEFL 96+ / IELTS 7.0+)
Student Reviews
Loading reviews...
Ready to Apply?
Visit the official program page for the latest deadlines, tuition, and application requirements.