University of Maryland, College Park

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree in a quantitative field (computer science, mathematics, engineering, or related discipline) with a minimum GPA of 3.0. A strong background in mathematics, programming (Python preferred), and statistics is required; relevant professional experience is beneficial but not mandatory.

About This Program

This non-thesis program merges rigorous technical training in AI with a focus on responsible, human-centered design and societal implications.

Career Outcomes

Advance as AI Ethics Specialist in Cross-Industry AI with machine learning expertise

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI Product Manager

What You'll Learn

• Design, train, and optimize machine learning and deep learning models for real-world applications
• Apply generative AI techniques and large language models to solve complex business and research problems
• Implement ethical AI practices, including fairness assessment and bias mitigation
• Develop end-to-end AI pipelines and deploy AI systems in production environments

Curriculum Highlights

The 30-credit curriculum includes foundational mathematics, statistics, and computing, alongside specialized coursework in robotics, NLP, and explainable AI.

Top Employers

Top employers include Google, Meta, Microsoft, Amazon, OpenAI, Tesla, and major financial institutions and government research agencies investing in AI innovation.

Admissions

Applicants must hold a bachelor's degree in a quantitative field (computer science, mathematics, engineering, or related discipline) with a minimum GPA of 3.0. A strong background in mathematics, programming (Python preferred), and statistics is required; relevant professional experience is beneficial but not mandatory.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required
• Portfolio or code samples: Optional but recommended

Academic Requirements

• Degree Required: Bachelor's degree in a quantitative field
• GRE/GMAT: Required (GRE preferred for STEM fields)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)