录取要求

BS degree in industrial engineering or related area or equivalent

Mathematical Statistics Course (for example, Stat 312)

Introduction to Programming Course (for example, CS 301)

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 all masters programs in ISyE. Information on taking the GRE exam can be found here: https://www.ets.org/gre. Please note: Applicants should plan to take their exam by Dec. 1st to allow scores to be sent and processed.

*ISyE undergrads and applicants with prior institutional approval are waived from the GRE requirement.

申请材料清单

Fill out an online application through the Graduate School website and pay the application fee.

List three recommenders and their contact information as part of the online application. An email will be sent to the recommender, asking that they submit their letter online using the Graduate School’s recommendation form. Applicants can log back into their online application to re-send the email request if the recommender loses the email. Letters of recommendation must be submitted electronically.

Submit a Statement of Purpose with your online application.

GRE EXAM INFORMATION (STARTING FALL 2018): The course-only option does require the GRE exam be taken by prospective students as part of the application but note there are no specific scoring guidelines for the exam as the GRE is only one part of consideration for admission into the program. Please note: Applicants should plan to take their exam by Dec. 1st to allow scores to be sent and processed.

TOEFL EXAM INFORMATION: Ask ETS to submit your TOEFL scores to the UW-Madison Graduate School (Institution Number 1846). If you have your scores sent to UW-Madison, they will be available online to all departments to which you have applied. The institution code, therefore, is the only number needed. For more information please visit the Graduate School Requirements page. (Please note: Exam information must be valid at start date of the semester that you are applying for (non-expired)).

Electronically submit one copy of your official transcript with your application. Unofficial copies of transcripts will be accepted for review but official copies are required for admitted students.

专业介绍

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 Systems Engineering and Analytics option within the UW-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. (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.

课程设置

• ISyE 313 – Engineering Economic Analysis
• ISyE 412 – Fundamentals of Industrial Data Analytics
• ISyE 510 – Facilities Planning
• ISyE 512 – Inspection, Quality Control and Reliability
• ISyE 524 – Introduction to Optimization
• ISyE 525 – Linear Programming Methods
• ISyE 601 – 004 IE Special Topics (Digital Mfg Tech For Enterprise System)
• ISyE 624 – Stochastic Modeling Techniques
• ISyE 645 – Engineering Models for Supply Chains
• ISyE 699 – Independent Studies (up to 6 credits – contact instructor directly for permission)
• ISyE 313 – Engineering Economic Analysis
• ISyE 412 – Fundamentals of Industrial Data Analytics
• ISyE 512 – Inspection, Quality Control and Reliability
• ISyE 517 – Decision Making in Health Care
• ISyE 575 – Introduction to Quality Engineering
• ISyE 601 – Special topics TBD (if offered and advisor approval needed)
• ISyE 612 – Information Sensing and Analysis for Manufacturing Processes
• ISyE 615 – Production Systems Control
• ISyE 620 – Simulation Modeling and Analysis
• ISyE 641 – Design and Analysis of Manufacturing Systems
• ISyE 643 – Performance Analysis of Manufacturing Systems
• ISyE 699 – Independent Studies (up to 6 credits)
• ISyE 313 – Engineering Economic Analysis
• ISyE 516 – Introduction to Decision Analysis
• ISyE 575 – Introduction to Quality Engineering
• ISyE 601 – Special topics TBD (if offered and advisor approval needed)
• ISyE 699 – Independent Studies (up to 6 credits)