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
University of Maryland, College Park's MS in Applied Machine Learning lists about $43.1K total tuition — about 0% above the $42.9K AI master's average (63rd percentile in our data). It is one of the 54% 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
University of Maryland, College Park positions this master track for Machine Learning Engineer careers — typical offers cluster around $120,000. Its focus on Deep Learning and Computer Vision maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.
- 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
Admission to University of Maryland, College Park's MS in Applied Machine Learning generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Frequently Asked Questions
Why choose University of Maryland, College Park's MS in Applied Machine Learning?
This technical graduate program focuses on developing models and algorithms that enable data-driven predictions and decisions across various industries.
Is the MS in Applied Machine Learning at University of Maryland, College Park available online?
Yes — University of Maryland, College Park lists this program as on-campus, online, and it can be taken full-time. Confirm on-campus residency requirements, if any, on the official program page.
How much does the MS in Applied Machine Learning cost?
We estimate total tuition at roughly $43.1K, above the $42.9K average for comparable AI master's programs in our database. Tuition changes yearly and excludes fees and living costs, so treat this as a planning figure and confirm with University of Maryland, College Park.
Does the MS in Applied Machine Learning require the GRE?
No — University of Maryland, College Park does not require the GRE for this program, which is increasingly common among AI programs. A strong transcript, projects and recommendation letters carry more weight.
How long does the MS in Applied Machine Learning take to complete?
Most students finish in about 1.5 years for full-time enrollment. Accelerated or part-time tracks may change the timeline.
What jobs can you get with the MS in Applied Machine Learning?
Graduates commonly pursue roles such as Machine Learning Engineer, with reported pay around $120,000. Actual outcomes depend on your prior experience, portfolio and location — see our AI salary guide for current, source-cited ranges.
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