MasterOn-Campus, OnlineFull-Time

University of Maryland, College Park

MS in AI (Interdisciplinary Science Academy)

College Park, Maryland1.5 $43K total tuition
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Est. Salary$130,000 AI Research Scientist
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$43K total
Format
On-Campus, Online
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Computer Vision, Natural Language Processing (NLP)

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.

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+)

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