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Master of Science in Industrial Engineering & Engineering Management

Overview

The graduate program in Industrial Engineering and Engineering Management draws on LAU’s substantial and growing experience in undergraduate industrial engineering education to provide those coming from other engineering disciplines a significant opportunity to specialize in the management and optimization of engineering systems. This program responds to a national need for engineers that can manage and improve integrated systems of people, materials, information, facilities, and technology.

The graduate program in Industrial Engineering and Engineering Management 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 here as concentrations areas consist in part of elective graduate-level courses from Industrial, Mechanical, and Civil Engineering programs, and graduate courses from Computer Science, Economics, Business, and International affairs graduate programs.

Mission

The mission of the graduate program in Industrial Engineering and Engineering Management is to capitalize on skills and theories learned in disciplines other than Industrial Engineering to uniquely prepare students for successful engineering management careers.

Educational Objectives

The objectives of the graduate program in Industrial Engineering and Engineering Management are to:

  1. Provide engineers coming from other engineering disciplines with a significant opportunity to specialize in the management and optimization of engineering systems
  2. Introduce engineers to the state of the art tools and methods used in the design, management or improvement of integrated systems of people, materials, facilities, information, and technology; and
  3. Provide students with a unique non-traditional interdisciplinary education that is tailored to the student professional needs and interest

Student Outcomes

The students will acquire in their marticulation through the program, the following skills, knowledge, and behaviors:

  1. Ability to use knowledge of math and science to model and improve complex integrated systems of people, materials, facilities or technology
  2. Broad knowledge that encompasses the fields of production systems and manufacturing, construction engineering and management, finance and economics
  3. ability to use data analysis and optimization for decision making
  4. ability to provide support for systems engineering and project management
  5. Ability to function as a professional in the discipline
  6. Develop an ability to grow through life long acquisition of knowledge
  7. Advanced proficiency in student-selected topics in optimization, production systems and manufacturing, infrastructure and construction management or finance and economics.

Admission Requirements

Applicants for admission to this program must have a Bachelor of Science in Engineering or a Bachelor of Engineering degree from a recognized university with a minimum grade point average (GPA) equivalent to 2.75 (on a 4-point scale) general or 2.75 in the major. If the bachelor’s degree is not in the field to be pursued and/or if the GPA is less than 2.75, the applicant may be admitted as “Special” as described in sections 1.2.4 and 1.2.5 of the Graduate Programs Academic Rules and Regulations. 

The GRE general exam is required of all applicants (GRE subject exams are not required). All applicants must submit scores for the GRE general exam (includes verbal reasoning, quantitative reasoning, and analytical writing scores). Your GRE test scores are an important part of your application. GRE test scores that are more than 5 years old will not be accepted. 

The admissions committee considers several factors when making admission decisions: your academic performance at prior institutions (grades, rankings, and GPAs) and your GRE test score. The rate of graduate assistantship (GA), when requested, is directly related to your GPA and GRE scores. Letters of recommendation are optional; however, three letters are recommended, two of which to be completed by faculty who are familiar with your academic performance.

Degree Requirements

The M.S. degree requires 30 hours of graduate-level courses. 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 graduate industrial engineering program consists of 30 credit hours and leads to a Master of Science in Industrial Engineering and Engineering Management (Emphasis in Engineering Management).

The degree requirements are:

  • 30 hours of graduate level courses
  • At least 18 hours in engineering courses
  • No more than 6 credit hours in project-based courses or thesis work
  • At least 6 hours in Optimization
  • At least 9 hours from Production Systems and Manufacturing or Infrastructure and Construction Management
  • At least 3 hours from Finance and Economics

The remaining courses may be taken from any of the following concentrations areas:

  • CA_1 Optimization
  • CA_2 Production Systems and ­Manufacturing
  • CA_3 Infrastructure and Construction ­Management
  • CA_4 Finance and Economics
  • CA_5 Software

CA_1: Optimization

  • 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.0
  • INE708 / Queuing Theory and Applications (3 cr.)
  • INE709 / Advanced Stochastic Processes (3 cr.)
  • INE711 / Advanced Simulation (3 cr.)
  • INE810 / Special Topics in Optimization (3 cr.)

CA_2: Production Systems and Manufacturing

  • INE742 / Industrial quality Control  (3 cr.)
  • INE743 / Reliability Evaluation of Engineering Systems*  (3 cr.)
  • INE744 / Inventory Analysis  (3 cr.)
  • INE745 / Facilities Planning and Layout*  (3 cr.)
  • INE746 / Materials Handling*  (3 cr.)
  • INE748 / Machine Scheduling (3 cr.)
  • INE749 / Transportation and 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.)

CA_3: Infrastructure and Construction Management

  • CIE761 / Traffic Engineering (3 cr.)
  • CIE762 / Transportation Engineering II (3 cr.)
  • CIE785 / Risk and Natural Hazard Management (3 cr.)
  • CIE786 / Highway Design and Management* (3 cr.)
  • CIE787 / Concrete and Steel Construction* (3 cr.)
  • CIE788 / GIS and Remote Sensing (3 cr.)
  • CIE790 / Construction and Control* (3 cr.)
  • INE722/CIE782 / Infrastructure Management* (3 cr.)
  • INE724/CIE784 / Quality Management Systems (3 cr.)
  • INE727 / Project Scheduling (3 cr.)
  • INE729 / Project Contracting (3 cr.)
  • INE820 / Special Topics in Infrastructure & Construction Management (3 cr.)

CA_4: Finance and Economics

  • BUS811 / Business Economics (3 cr.)
  • BUS821 / Financial Accounting (3 cr.)
  • BUS836 / Modern Portfolio Management (3 cr.)
  • BUS837 / International Business (3 cr.)
  • BUS861 / Financial Management (3 cr.)
  • INA831 / International Political Economy (3 cr.)
  • INE771 / Financial Engineering* (3 cr.)
  • INE772 / Advanced Financial Engineering* (3 cr.)
  • INE781 / Engineering Economy II* (3 cr.)
  • INE870 / Special Topics in Finance & Economics* (3 cr.)

CA_5: Software

  • COE716/CSC723 / Knowledge-Based Systems (3 cr.)
  • COE717 / Parallel Programming and Cluster Workstations (3 cr.)
  • COE718/CSC450 / Computer Graphics (3 cr.)
  • COE741/CSC460 / Artificial Intelligence(3 cr.)
  • COE742 / Neural Networks(3 cr.)
  • COE752/CSC711 / Design and Analysis of Algorithms (3 cr.)
  • COE753/CSC714 / Heuristic Optimization (3 cr.)
  • CSC475 / Advanced Topics in Databases (3 cr.)

Other Courses

  • INE800 / Project Course (3 cr.)
  • INE801 / Special Topics Courses (3 cr.)
  • INE899 / Thesis* (6 cr.)

* Courses Not Offered for the Past Two Years

Contact Us

For further academic details, please contact Dr. Michel Khoury, Chairperson.  
You may also contact the Industrial & Mechanical Engineering Department.