Academic Catalog 2022–2023

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Master of Science in Industrial Engineering & Engineering Management


The M.S. in Industrial Engineering and Engineering Management responds to a need, at the country level, for engineers that can manage and improve integrated systems of people, materials, information, facilities, and technology. The program is essentially a hybrid program that is built by combining specialized knowledge bases, leading to a non-traditional interdisciplinary education. The knowledge bases, referred to as concentrations areas, consist in part of elective graduate-level courses from Industrial, Mechanical, Computer, and Civil Engineering programs, and graduate courses from Computer Science, Economics, Business, and International Affairs graduate programs.


The program strives to provide students with an in-depth and contemporary education that prepares them to be successful leaders in industrial engineering organizations as well as successful researchers able to pursue doctoral studies.

Program Educational Objectives

The objectives of the M.S. in Industrial Engineering and Engineering Management are to:

  1. Reinforce the fundamental concepts, skills, and professional knowledge needed for the design of engineered systems.
  2. Prepare students for doctoral studies by further refining their skills and knowledge through formal education and training, independent inquiry, seminars, and research.
  3. Advance students professionally in positions of increasing leadership responsibilities with global or socially responsible implications.

Student Outcomes

Upon successful completion of the MS program, students are expected to: 

  1. Apply their industrial engineering knowledge to solve complex problems and evaluate current and emerging technologies in a chosen focus area of Industrial Engineering.
  2. Demonstrate breadth of knowledge of Industrial Engineering.
  3. Assess the impact of their work on society, encompassing environmental, ethical, and global aspects and constraints.
  4. Demonstrate the ability to independently complete and document a technical project or research paper.


The M.S. in Industrial Engineering & Engineering Management requires 30 credits of graduate-level courses. As for all master’s degrees offered at LAU, students must complete all the requirements for a master’s degree, including the accepted transferred credits, within six years as of the end of the first semester.

The credits are distributed as follows:

For the project track

  • INE800 Project Course (3 credits)
  • Engineering courses (at least 18 credits)
  • Optimization courses (at least 6 credits)
  • Production Systems & Manufacturing courses or Infrastructure & Construction Management courses (at least 9 credits)
  • Industrial Management & Economics courses (at least 3 credits)

For the thesis track

  • INE899 Thesis (6 credits)
  • GNE798 Research Methods (3 credits)

The remaining courses in either track may be taken from any of the following concentration areas:

  • Optimization
  • Production Systems & ­Manufacturing
  • Infrastructure & Construction ­Management
  • Industrial Management & Economics
  • Computational modelling and data analytics

Transfer of Credits

B.E. holders with a degree in Industrial Engineering can transfer up to 18 credits from their B.E. Degree.  All other applicants with a bachelor’s of engineering degree from outside the field can transfer up to six credits from their B.E. degree.  Courses are transferable provided that the student has scored at least a grade of “B” on each of these courses. Transfer of credits is governed by the Graduate Program Rules and Regulations.


  • INE700 Advanced Statistics (3 cr.)
  • INE701 Linear Programming (3 cr.)
  • INE702 Integer Programming (3 cr.)
  • INE703 Dynamic Programming (3 cr.)
  • INE704 Stochastic Processes (3 cr.)
  • INE705 Non-Linear Programming (3 cr.)
  • INE706 Decision Analysis (3 cr.)
  • INE707 Network Flow (3 cr.)
  • INE708 Queuing Theory & Applications (3 cr.)
  • INE709 Advanced Stochastic Processes (3 cr.)
  • INE711 Advanced Simulation (3 cr.)
  • INE810 Special Topics in Optimization (3 cr.)

Production Systems & Manufacturing

  • INE741 Lean Manufacturing (3 cr.)
  • INE742 Quality Control I (3 cr.)
  • INE743 Reliability Evaluation of Engineering Systems* (3 cr.)
  • INE744 Inventory Analysis (3 cr.)
  • INE745 Facilities Planning & Layout* (3 cr.)
  • INE746 Materials Handling* (3 cr.)
  • INE748 Machine Scheduling (3 cr.)
  • INE749 Transportation & Supply Chain Systems* (3 cr.)
  • INE761 Computer Aided Design/Computer Aided Manufacturing* (3 cr.)
  • INE762 Analysis of Automated Manufacturing Systems* (3 cr.)
  • INE763 Advanced Information Technology for Industrial & Manufacturing Engineering* (3 cr.)
  • INE764 Times Series Control & Process Adjustment* (3 cr.)
  • INE840 Special Topics in Production Systems & Manufacturing (3 cr.)

Infrastructure & Construction Management

  • CIE761 Traffic Engineering (3 cr.)
  • CIE762 Airport Planning and Design (3 cr.)
  • CIE763 Transportation Planning and Land Use (3 cr.)
  • CIE764 Mass Transit Systems (3 cr.)
  • CIE766 Highway Design & Management* (3 cr.)
  • INE722/CIE782 Infrastructure Management* (3 cr.)
  • INE724/ CIE784 Quality Management Systems (3 cr.)
  • CIE785 Risk & Natural Hazard Management (3 cr.)
  • CIE788 GIS & Remote Sensing (3 cr.)
  • INE721/CIE789 Cost Engineering and Control (3 cr.)
  • CIE790 Construction Methods* (3 cr.)
  • INE727 Project Scheduling (3 cr.)
  • INE729 Project Contracting (3 cr.)
  • INE820 Special Topics in Infrastructure & Construction Management (3 cr.)

Industrial Management & Economics

  • ACC821 Financial Accounting (3 cr.)
  • ECO811 Business Economics (3 cr.)
  • ECO840 Mathematical and Computational Models in Applied Economics (3 cr.)
  • ECO821  Advanced Microeconomics (3 cr.)
  • ECO822  Advanced Macroeconomics  (3 cr.)
  • ECO831  Applied Econometrics I: Cross Section and Panel Data (3 cr.)
  • ECO832 Applied Econometrics II: Time Series Data
  • FIN836 Modern Portfolio Management (3 cr.)
  • FIN837 International Business (3 cr.)
  • FIN861 Financial Management (3 cr.)
  • INA831 International Political Economy (3 cr.)
  • INE771 Financial Engineering* (3 cr.)
  • INE772 Advanced Financial Engineering* (3 cr.)
  • INE773  Risk Assessment and Management (3 cr.)
  • INE781 Engineering Economy II* (3 cr.)
  • INE870 Special Topics in Finance & Economics* (3 cr.)

Computational Modeling and Data Analytics

  • CSC450 Computer Graphics (3 cr.)
  • CSC614 Heuristic Optimization (3 cr.)
  • CSC615 Machine Learning (3 cr.)
  • CSC623 Knowledge-Based Systems (3 cr.)
  • CSC624 Data Mining (3cr.)
  • COE741/ CSC660 Artificial Intelligence (3 cr.)
  • COE744 Intelligent Engineering Algorithms (3 cr.)
  • COE752/ CSC611 Design and Analysis of Algorithms (3 cr.)
  • COE753 Heuristic Optimization (3 cr.)
  • INE765 Intro to Systems Dynamics (3 cr.)
  • INE860 Special Topics in Computational Modeling and Data Analytics (3 cr.)

Other Courses

* Courses not offered for the past two years

For further academic details, please contact Dr. Wassim Habchi, Chair. You may also contact the Industrial & Mechanical Engineering Department.