Typical admitted student: A bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required; relevant professional experience in engineering or data handling is preferred.

About This Program

This online program equips technical professionals with specialized expertise in AI-driven data analysis for engineering challenges.

Career Outcomes

Build machine learning skills to advance as Data Analyst in Engineering AI

1. AI Engineer for Manufacturing
2. Data Analytics Engineer
3. Technical AI Consultant
4. Engineering Machine Learning Specialist

What You'll Learn

Apply AI and machine learning tools to automate engineering workflows and solve technical problems.
Analyze engineering data for optimization, forecasting, and quality improvement.
Develop and deploy generative AI solutions like chatbots for real-world engineering applications.
Communicate data-driven insights to support technical leadership and decision-making.

Curriculum Highlights

The 9-credit curriculum includes machine learning in action, generative AI for engineering, and engineering applications of statistics.

Top Employers

Top employers include engineering firms like Boeing, General Electric, Siemens, and manufacturing leaders such as Ford and Intel.

Admissions

A bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required; relevant professional experience in engineering or data handling is preferred.

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: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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