Overview
Many industries are in critical need of engineers who understand and can apply data science tools and methods to drive improvements to products and processes, research, design, testing, and operations. The Engineering - Data Analytics program at the University of Wisconsin Madison uniquely combines data science learning with focused applications in engineering and skills needed to lead projects and teams.
What you will learn in this program
- Machine learning and predictive analytics.
- Statistical methods and decision science.
- Visualization tools and techniques.
- Optimization of products, processes, research, design, testing and operations.
- Leadership and communication skills to effectively manage change.
Programme Structure
Courses include:
- Fundamentals of Industrial Data Analytics
- Engineering Applications of Statistics
- Computing Concepts for Applications in Engineering
- Matrix Methods in Machine Learning
- High-Performance Computing for Applications in Engineering
- Database Design for Information Professionals
- Design Optimization
- Simulation and Modeling Analysis
- Interactive Data Visualization
Key information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- Starting
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Language
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Credits
Delivered
Campus Location
- Madison, United States
Disciplines
General Engineering & Technology Data Analytics View 208 other Masters in General Engineering & Technology in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A bachelor of science (BS) degree in engineering from a program accredited by the Accreditation Board for Engineering and Technology (ABET) or the equivalent. International applicants must have a degree comparable to an approved U.S. bachelor’s degree.
- A minimum undergraduate grade-point average (GPA) of 3.00 on the equivalent of the last 60 semester hours (approximately two years of work) or a master’s degree with a minimum cumulative GPA of 3.00.
- Applicants whose native language is not English must provide scores from the Test of English as a Foreign Language (TOEFL).
- GRE is not required. Applicants who have taken the test are encouraged to submit their scores.
- Registration as a professional engineer by examination, if achieved, should be documented to support your application.
Tuition Fees
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International Applies to you
Applies to youNon-residents19500 USD / year≈ 19500 USD / year - Out-of-State19500 USD / year≈ 19500 USD / year
-
Domestic
Applies to youIn-State19500 USD / year≈ 19500 USD / year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Engineering - Data Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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