Worcester Polytechnic Institute

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 typically need a bachelor's degree in a technical field (computer science, engineering, mathematics, or related discipline) and demonstrated competency in programming and mathematics. Some programs may require a minimum undergraduate GPA of 3.0 and relevant professional or academic experience in computing or quantitative fields.

About This Program

This graduate certificate leverages WPI's long-standing expertise to help professionals grow their technical ability to innovate with artificial intelligence techniques and systems.

Career Outcomes

Gain machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI

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

What You'll Learn

• Develop, train, and deploy machine learning models using industry-standard tools like PyTorch, TensorFlow, and scikit-learn[1]
• Design and build neural networks for computer vision, natural language processing, and autonomous systems applications[1]
• Apply ethical frameworks to AI development, understanding bias, privacy, fairness, and societal impact[1]
• Collaborate across disciplines to explain complex AI models to stakeholders and implement AI solutions for real-world problems[1]

Curriculum Highlights

The 12-credit program consists of four graduate courses, with credits that can be applied toward advanced degrees in computer science, robotics, or data science.

Top Employers

Top employers include technology companies like IBM, Microsoft, Google, and OpenAI, as well as industry partners in healthcare, autonomous vehicles, and robotics sectors.[1

Admissions

Applicants typically need a bachelor's degree in a technical field (computer science, engineering, mathematics, or related discipline) and demonstrated competency in programming and mathematics. Some programs may require a minimum undergraduate GPA of 3.0 and relevant professional or academic experience in computing or quantitative fields.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3 (preferably from academic or professional references)
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional (may strengthen application)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)