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M.Sc. On Campus

Industrial Engineering - Systems Engineering and Analytics

University of Wisconsin Madison

24 months
Duration
25526 USD/year
25526 USD/year
12200 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The  Industrial Engineering - Systems Engineering and Analytics at University of Wisconsin Madison will train students to recognize, identify, analyze, and solve decision problems arising in the efficient operations of engineering systems. The program focuses on methods and models for data analytics and data-driven decision-making.

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 at University of Wisconsin Madison graduate program in Industrial and Systems Engineering 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. 

The flexible curricula in Systems Engineering and Analytics enable students to tailor their degree program to suit their particular needs and career objectives.

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
    • 24 months

Start dates & application deadlines

Language

English
TOEFL admission requirements TOEFL® IBT
92

Credits

30 alternative credits

Delivered

On Campus

Academic requirements

GRE admission requirements GRE®
Required

English requirements

TOEFL admission requirements TOEFL® IBT
92

Other requirements

General requirements

  • Applicants must also meet department specific requirements as outlined below:
    • BS degree in engineering or related area or equivalent
    • Mathematical Statistics Course (for example, STAT 312 Introduction to Theory and Methods of Mathematical Statistics II)
    • 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 for this masters programs in I Sy E. 

Tuition Fee

To alway see correct tuition fees
  • International

    25526 USD/year
    Tuition Fee
    Based on the tuition of 25526 USD per year during 24 months.
  • National

    25526 USD/year
    Tuition Fee
    Based on the tuition of 25526 USD per year during 24 months.
  • In-State

    12200 USD/year
    Tuition Fee
    Based on the tuition of 12200 USD per year during 24 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.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Industrial Engineering - Systems Engineering and Analytics
-
University of Wisconsin Madison

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