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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 the 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.
What You Learn
- 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
Modules included:
- 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
- Apply before
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- Starting
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Language
English
IELTS 7
TOEFL® IBT 92
Credits
30 alternative credits
Delivered
On Campus
Disciplines
Industrial & Systems Engineering General Engineering & Technology View 1735 other Masters in General Engineering & Technology in United StatesAcademic requirements
GRE® Required
English requirements
IELTS 7
TOEFL® IBT 92
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 Fee
To alway see correct tuition fees
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International
25548 USD/yearTuition FeeBased on the tuition of 25548 USD per year during 12 months. -
National
25548 USD/yearTuition FeeBased on the tuition of 25548 USD per year during 12 months. -
In-State
12220 USD/yearTuition FeeBased on the tuition of 12220 USD per year during 12 months.
Living costs for Madison
1015 - 1752 USD /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
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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