(For students admitted before 2017 please visit)

Industrial Engineering and Systems Management

Graduation requirements

  • All students must successfully pass the six Core courses (#4-#9, 18 credits). Please note that students should be aware of the Preparatory undergraduate coursework (#1-#3) needed for their IESM graduate courses.  If a student has not completed these prerequisites during their undergraduate studies, he/she should enroll in the corresponding Preparatory courses.
  • Students must also choose one of three concentrations: Logistics, Data Analytics, or Sustainable Operations and Resource Management (SORM).
    1. Students choosing the Logistics Concentration must successfully complete six credits from the Logistics Concentration (outside of the core).
    2. Students choosing the Data Analytics Concentration must successfully complete six credits from the Data Analytics Concentration (outside of the core).
    3. Students choosing the SORM Concentration must successfully complete:
      1. both #13 and #14
      2. either #15 or #18
      3. either (#16 and #17) or #20
      4. three additional credits from the SORM concentration.
  • All students must complete the Capstone requirement, through one of two alternatives: Thesis Option or Non-Thesis Option. The Thesis Option consists of #10 and #11.  The Non-Thesis Option consists of #10 and #12.
  • All students must complete the environmental requirement (at least 1 credit), by passing for a grade one of the following courses #13, 14, 16, 17, or 19, or through any appropriate course pre-approved by the Program Chair.
  • A student must complete 45 credits for graduation, and all courses must be taken on a letter grade basis. A cumulative grade-point average of 3.0 or higher is required for graduation. Students who wish to register for electives not listed must get prior approval from the Program Chair.


# Course code – name  Credits Concentration

Preparatory courses (no graduate credits)

1 IESM 106 Probability and Statistics (or equivalent) 0
2 CS 110 Intro to Programming (or equivalent) 0
3 IESM 220 Operations Research 1 (or equivalent) 0

Core courses

4 IESM 340 Engineering Economics 3
5 IESM 321 Operations Research 2 (#3) 3
6 IESM 301 Analysis and Design of Data Systems 3 Data Analytics
7 IESM 311 Quality Assurance and Management (#1) 3 Data Analytics
8 IESM 330 Simulation of IE Systems (#1) 3 Logistics
9 IESM 331 Production System Analysis (#1, #5) 3 Logistics


10 IESM 395 Capstone Preparation (2nd year standing) 2
11 IESM 396 Capstone Thesis (2nd year standing) 4
12 IESM 397 Capstone Project (2nd year standing) 1

Elective courses

13 IESM 351 Sustainable Smart and Resource Efficient Systems 1: Systems and Technologies 3 SORM
14 IESM 352  Sustainable Smart and Resource Efficient Systems 2: Decision Making Tools 3 SORM
15 EPIC 301 Innovation 3 SORM
16 ENV 321 Remote Sensing and Environmental Analysis 1 SORM
17 ENV 320 GIS and Environmental Analysis 2 SORM
18 CS 355 Entrepreneurship 3 SORM
19 IESM 350 Alternative Energy 3 SORM
20 IESM 313 Data Mining & Predictive Analytics 3 SORM & Data Analytics
21 IESM 315 Design and Analysis of Experiments 3 Data Analytics
22 IESM 347 Design and Innovation of Information Services 3 Data Analytics
23 IESM 345 Supply Chain Management 3 Logistics & SORM
24 IESM 349 Enabling Competitive Advantage through Information Technology 3 Logistics
25 IESM 346 Managing Engineering and Technology 3 Logistics
26 IESM 390 Integrative Project in Modern Production (2nd year standing) 3
27 IESM 360 Computer-Aided Design 3
28 IESM 361 Computer-Aided Manufacturing 3
29 IESM 362 Advanced CAD/CAM Applications (#27 or #28) 3

Brief Description of Concentrations

Data Analytics provides students with statistical and data-driven optimization tools to exploit digitally available data, in order to increase productivity and improve decision making in a wide range of production, business, and service operations.

IESM graduates in this concentration will be able to:

  • Design and digest data sets with clear visualization and summary.
  • Predict the behavior of the system based on historical data.
  • Make right decisions based on predicted results.

Logistics focuses on the principles of the design and management of operations in the supply chain from raw material to customer end products.

Key questions that this concentration will help to answer are:

  • What capacities do we need for operational resources?
  • How to manage operations in production, service, warehousing, transport, and distribution?
  • How to ensure process reliability?
  • How does the latter depend on maintenance planning?

Sustainable Operations and Resource Management (SORM) equips students with theoretical and practical tools to develop and manage smart, sustainable, and resource efficient systems and operations.

Graduates from this concentration will:

  • Use diagnostic and analytic tools to enhance sustainability and resource efficiency of systems and operations.
  • Successfully foster and manage innovation and change.
  • Analyze, visualize, and effectively communicate data.