Overview
Analytics, and the ability to effectively utilize data, is quickly becoming an important component in engineering decision making. There is a strong need in the marketplace for people who use analytical tools to transform data into insights for making better decisions.
The Industrial Engineering - Systems Engineering and Analytics program at University of Wisconsin Madison offers students the opportunity to pursue graduate training in this important and emerging area, under the auspices of the foremost experts in their field, in one of the world’s top-ranked departments of industrial and systems engineering. (We were ranked 8th in the latest US News and World Report rankings). The flexible curricula in Systems Engineering and Analytics enable students to tailor their degree program to suit their particular needs and career objectives.
After completing your degree, you will be able to analyze, process, and build conclusions based on the data you collect in the design, testing, and operations phases of engineering and design processes.
The program includes training in optimization models and methods, applied industrial analytics, simulation modeling and analysis, and courses wherein these analytical and computational tools are applied in an engineering systems setting. These learned skills are now highly sought after in manufacturing, transportation, finance, healthcare, and other industrial sectors.
Key Facts
- Acquire mathematical, scientific, and engineering principles in analytics.
- Utilize data-driven methodologies to formulate, analyze, and solve advanced engineering problems.
- Evaluate relevant analytical, computational, engineering tools to address advanced systems engineering problems.
- Solve real-world problems using computer-assisted, data-driven decision making technologies.
Programme Structure
Courses include:
- Engineering Economic Analysis
- Industrial Data Analytics
- Combinatorial Optimization
- Facilities Planning
- Inspection, Quality Control and Reliability
- Engineering Management of Continuous Process Improvement
- Optimization
- Linear Optimization
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
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Language
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Credits
Delivered
Campus Location
- Madison, United States
Disciplines
Industrial & Systems Engineering View 315 other Masters in Industrial & Systems Engineering 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
- BS degree in engineering or related area or equivalent
- Mathematical Statistics course
- Introduction to Programming course (for example, Data Programming)
- Non-native English speakers must have a Test of English as a Foreign Language (TOEFL) score of 580 (written), 243 (computer-based test), or 92 (Internet version).
- The Graduate Record Examination (GRE) is required
- Three letters of recommendation
- Statement of purpose
Tuition Fees
-
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
Living costs
Madison
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Industrial Engineering - Systems Engineering and 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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