Industrial Engineering: Systems Engineering and Analytics, M.S.
| Program start date | Application deadline |
| 2023-12-15 | - |
| 2024-09-01 | - |
Program Overview
The Industrial Engineering: Systems Engineering and Analytics program equips students with the skills to analyze and solve decision problems in engineering systems. Graduates gain expertise in data analytics and data-driven decision-making, enabling them to analyze, process, and draw conclusions from engineering data. This program prepares students for careers in various industries, including manufacturing, transportation, finance, and healthcare.
Program Outline
Degree Overview:
The Industrial Engineering: Systems Engineering and Analytics program is a named option within the Industrial and Systems Engineering M.S. degree program. It trains 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. With this knowledge, graduates will be able to analyze, process, and build conclusions based on data collected during various engineering processes.
Careers:
Learned skills are highly sought after in manufacturing, transportation, finance, healthcare, and other industrial sectors.
Entry Requirements:
- 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 or I SY E 210 Introduction to Industrial Statistics)
- Introduction to Programming Course (for example, COMP SCI 220 Data Science Programming I)
Language Proficiency Requirements:
- 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).
