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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
English
IELTS 7
TOEFL® IBT 92
Credits
30 SCH
Delivered
Online
Disciplines
General Engineering & Technology Data Science & Big Data View 183 other Masters in Data Science & Big Data in United StatesAcademic requirements
GPA 3
GRE® Required
GMAT Required
English requirements
IELTS 7
TOEFL® IBT 92
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 Fee
To alway see correct tuition fees
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International
19500 USD/yearTuition FeeBased on the tuition of 1300 USD per credit during 24 months. -
National
19500 USD/yearTuition FeeBased on the tuition of 1300 USD per credit during 24 months. -
In-State
19500 USD/yearTuition FeeBased on the tuition of 1300 USD per credit during 24 months.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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