University of Maryland, College Park

How this program compares

At an estimated $43.1K in total tuition, the MS in AI (Interdisciplinary Science Academy) 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: Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related quantitative field, with a minimum GPA of 3.0. Strong programming skills and coursework in linear algebra, calculus, and statistics are typically required or expected.

About This Program

This interdisciplinary degree prepares professionals to develop impactful AI solutions through a blend of technical expertise and human-centered perspectives. Coursework concentrates on Computer Vision and Natural Language Processing (NLP). 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.

Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $135,000.

Career Outcomes

Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI Systems Architect

What You'll Learn

• Design and implement machine learning systems using supervised and unsupervised learning techniques
• Develop AI applications with consideration for safety, trustworthiness, ethics, and bias mitigation
• Create human-centered AI systems that integrate with human capabilities and address user needs through participatory design approaches
• Optimize computing systems and leverage hardware architectures (GPUs, multiprocessing) for efficient machine learning deployment

Curriculum Highlights

The program consists of 10 courses covering machine learning, deep learning, ethics, and the interaction between AI and society.

Top Employers

Top employers include Google, Microsoft, Meta, Amazon, OpenAI, and major tech companies, along with financial institutions and government research agencies investing in AI development.

Admissions

Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related quantitative field, with a minimum GPA of 3.0. Strong programming skills and coursework in linear algebra, calculus, and statistics are typically required or expected.

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: Required (GRE recommended for AI/ML programs)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)