University of Maryland, College Park

How this program compares

At an estimated $43.1K in total tuition, the Master of Professional Studies in Machine Learning sits about 0% above the $42.9K average for AI master's programs in our database — placing it in the 63rd percentile on cost among the 394 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: 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.

About This Program

This professional graduate program emphasizes the art and science of extracting actionable information from large-scale data using cutting-edge techniques. Coursework concentrates on Computer Vision and Deep Learning. Most students complete it in about 1.5 years.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $115,000.

Design and implement machine learning systems that integrate AI with human-centered approaches and user needs.

At roughly $43.1K total, University of Maryland, College Park's Master of Professional Studies in Machine Learning sits above the $42.9K average among AI master's programs we track — the 63rd percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 26 AI-related programs we track in Maryland, of which about 62% offer an online option. On price, it comes in cheaper than about 56% of the Maryland programs in our data, where typical tuition runs near $50.2K.

Career Outcomes

The Master of Professional Studies in Machine Learning at University of Maryland, College Park (College Park, Maryland) is oriented toward Data Scientist hiring, with alumni reporting pay near $115,000. Its focus on Computer Vision and Deep Learning 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 Systems Engineer
• 3. Data Scientist
• 4. Research Scientist (AI/ML)

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

Curriculum Highlights

The 30-credit non-thesis curriculum involves 10 courses focusing on deep learning, signal understanding, and real-world machine learning applications.

Top Employers

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.

Admissions

Admission to University of Maryland, College Park's Master of Professional Studies in Machine Learning generally expects a bachelor's degree in computer science, engineering, mathematics, or related field. Plan for the GRE, which this program lists as gre required (minimum 309). 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: 3
• Resume: Required
• Transcripts: Official undergraduate transcripts required
• Application Fee: $75

Frequently Asked Questions