Program Requirements

Data Science

Requirements:

• IE 2007 Statistics and Data Analysis (Part of IE elective core)
• IE 2064 Applied Data Analytics

Three courses from the following list that do not overlap with each other or the required classes:

• IE 2065 Statistical Analysis and Optimization
• IE 2088 Digital Systems Simulation (Part of IE elective core)
• IE 2186 Reinforcement learning
• IE 2187 Optimization for Machine Learning
• INFSCI 2710  Database Management
• INFSCI 2595 Machine Learnng
• INFSCI 2160 Data Mining
• INFSCI 2440 Artificial Intelligence
• BQOM 2557 Multivariate Data Analysis
• BQOM 2537 Forecasting
• Other related graduate courses (with prior advisor approval)

Safety Engineering

Requirements:

1. IE 2301 Introduction to Safety Engineering
2. IE 2302 Engineering for Process Safety
3. IE 2303 Work Design (Part of IE elective core)

Two courses from the following list:

• IE 2007 Statistics and Data Analysis (Part of IE elective core)
• IE 2076 Total Quality Management
• IE/BIOENG 2725 Design for Injury Prevention
• CEE 2213 Construction Safety
• ENGR 2104 Nuclear Operation Safety
• ENGR 2125 Case Studies in Nuclear Codes and Standards
• ENGR 2130 Environmental Issues & Solutions for Nuclear Power
• Other related graduate courses (with prior advisor approval)

Engineering Management

Requirements:

• IE 2007 Statistics and Data Analysis (Part of IE elective core)
• IE 2003 Engineering Management (Part of IE elective core)
• IE 2123 Project Management

Two courses from the following list:

• IE 2303 Work Design (Part of IE elective core)
• IE 2102 Lean Six Sigma 1
• IE 2103 Lean Six Sigma 2
• IE 2086 Decision Models
• IE 2122 Fundamentals of Systems Engineering
• Appropriate graduate courses in Finance, Marketing or Organizational Behavior from KGSB (with prior advisor approval)

Master of Science Industrial Engineering & Master of Science Supply Chain Management Requirements

A total of 24 credits from the Department of Industrial Engineering are required:

• 12 credits in required classes comprising the department's 3-course required core, plus IE 2100: Supply Chain Analysis from the elective core, and
• 12 credits in I.E. electives, at least 3 of which (i.e., one course) comes from the remaining four courses in the elective core (Note: students without an undergraduate degree in industrial engineering are required to take IE 2303: Work Design from the elective core).  

The following is a sample program schedule; an actual schedule can be developed in conjunction with the student's academic advisers:

Fall, Year One

Spring, Year One

Fall, Year Two

Spring, Year Two

For application instructions and details on the curriculum requirements for the MSSCM portion of the program, please visit the Joseph M. Katz Graduate School of Business.  

Click here to see a suggested study plan for the HSE certificate.

Prerequisite Courses

There are no prerequisite courses for this program, however if an applicant does not have an undergraduate engineering degree, there may be some additional courses required for acceptance in the program. This will be determined by the program director in consideration of the applicant's work experience and undergraduate degree.

Possible considerations may be:

• IE-2001 Operations Research
• IE-2005 Probability and Statistics

The Industrial Engineering Department provides students with a unique opportunity to pursue certification in the Six Sigma discipline.  The Six Sigma methodology found its roots in the manufacturing sector as a way to effectively apply data to drive strategic organizational decisions.  Since that time, the successful implementation and application of Six Sigma methodologies has seen the application of these techniques expand to financial institutions, the service sector, hospital administration and many more.  

Students are provided the ability to achieve both a Green and a Black Belt Certification.  Both courses provide in depth training in the DMAIC process.  Students also explore the application of Change Management in Six Sigma projects and the relationship of Six Sigma and Lean techniques.  

IE-2102

IE-2103