Overview
The Engineering - Engineering Data Analytics programme from University of Wisconsin Madison offers students an opportunity to become leaders in:
- Using data analysis tools and methods to drive improvements to products, processes, research, design, testing, and operations.
- Applying best practices for the capture, storage, cleaning, querying, and data visualization.
- Evaluating and implementing effective modeling techniques and machine learning.
Impact
UW-Madison's online engineering graduate programs are world-class degrees and are consistently ranked in the Top 20 online engineering master's programs by U.S. News & World Report.
Programme Structure
Courses included:
- Engineering Applications of Statistics
- Inspection, Quality Control and Reliability
- Special Topics in Engineering Analytics and Operations Research (Topic: Applied Temporal Data Analytic)
- Interactive Data Analytics
- Computing Concepts for Applications in Engineering
- Matrix Methods in Machine Learning
Key information
Duration
- Part-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
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Language
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- 98 accuracy using real exam data
- 4.9/5 student rating
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 BS in science, technology, engineering, computer science or a related field with sufficient coursework and professional experience to demonstrate proficiency in engineering practice OR at least 16 credits of math and science coursework from an ABET-approved program.
- 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
Tuition Fees
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International Applies to you
Applies to youNon-residents25732 USD / year≈ 25732 USD / year - Out-of-State25732 USD / year≈ 25732 USD / year
-
Domestic
Applies to youIn-State12404 USD / year≈ 12404 USD / year
Additional Details
Minnesota Resident: $20,714/year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Engineering - 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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