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 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.

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.

Estimated total tuition is $43.1K, above the $42.4K average for AI master's programs in our database and in the 64th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Position as Data Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $115,000.

Career Outcomes

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

• 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

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.

Application Materials

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

Academic Requirements

• 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+)