MS in Industrial Engineering & Engineering Management
The Master of Science in Engineering in Industrial Engineering and Engineering Management Program 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 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 hereunder 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.
Available Scholarships
Scholarships and Assistantships
All applicants are encouraged to contact faculty members with areas of research matching their interest.
To find out about the Graduate Assistantships application deadline, check with the Department’s main office.
Mission statement
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 M.S. in Industrial Engineering and Engineering Management provides a learning-centered environment where accomplished faculty members share their experience and knowledge with students so that graduates will:
- Be capable of integrating undergraduate engineering education with advanced graduate topics in several areas of Industrial Engineering and Engineering Management to solve complex problems.
- Have the ability to conduct research or execute development projects and to proficiently document the results.
Student outcomes
Upon completion of the M.S. in Industrial Engineering and Engineering Management, graduates are expected to be able to demonstrate the ability to:
- Apply knowledge from undergraduate and graduate education to identify, formulate, and solve new or complex Industrial engineering and engineering management problems
- Plan and conduct an organized and systematic study on a significant topic within the field
- Communicate both orally and in writing at a high level of proficiency in the field of study
Admission Requirements
The Program is open to applicants with BE or BS Degrees in the Engineering disciplines. Applicants with a Bachelor’s degree in Industrial Engineering will follow the “thesis track” while all other applicants have to follow the “project track”. Applicants with Bachelor’s degree not in Industrial Engineering and interested in pursuing the “thesis track” will be required to complete additional courses as determined by the faculty in the program.
Admission is granted, only, on a selective basis to students meeting the following minimum requirements. Applicants must have a Bachelor of Science in Engineering, or a Bachelor of Engineering, Degree from an accredited college or university, with a minimum general Grade Point Average (GPA) equivalent to 3.0, on a 4-point scale, or 3.0 in the Major.
Candidates must submit complete applications to the admissions office consisting of:
- Statement of purpose (not to exceed one page)
- One academic letter of recommendation
- Official transcripts
- Curriculum vitae
The complete application must be received by the deadlines as published by Graduate Admissions.
Transfer of Credits
BE holders with a degree in Industrial Engineering can transfer up to 18 credits from their BE Degree. All other applicants with a bachelor’s of engineering degree from outside the field can transfer up to six credits from their BE 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.
Curriculum
The Graduate Program in Industrial Engineering and Engineering Management leads to a Master of Science in Industrial Engineering and Engineering Management. In particular, the degree requirements consist of 30 credit hours of graduate level courses distributed as follows:
For the project track:
- Three credit hours of INE800 project course,
- At least six credit hours in Optimization.
- At least nine credit hours in Production Systems and Manufacturing, or Infrastructure and Construction Management.
- At least 3 credit hours from Industrial management and Economics.
- At least 18 credit hours in Engineering courses.
For the thesis track:
- 6 credit hours of INE899 Thesis
- 3 credit hours of GNE798 Research Methods
The remaining courses in either track may be taken from any of the following concentration areas. All courses should be selected in consultation with the student advisor.
- CA_1 Optimization
- CA_2 Production Systems and Manufacturing
- CA_3 Infrastructure and Construction Management
- CA_4 Industrial management and Economics
- CA_5 Computational modelling and data analytics
Course Listing by Concentration Areas
Courses eligible for Graduate credit under this Program are grouped into five concentration areas:
CA_1: Optimization
| Number | Course | Cr |
|---|---|---|
| INE700 | Advanced Statistics | 3 |
| INE701* | Linear Programming | 3 |
| INE702* | Integer Programming | 3 |
| INE703* | Dynamic Programming | 3 |
| INE704* | Stochastic Processes | 3 |
| INE705* | Non-linear Programming | 3 |
| INE706 | Decision Analysis | 3 |
| INE707 | Network Flow | 3 |
| INE708* | Queuing Theory and Applications | 3 |
| INE709* | Advanced Stochastic Processes | 3 |
| INE711 | Advanced Simulation | 3 |
| INE810 | Special Topics in Optimization | 3 |
CA_2: Production systems and manufacturing
| Number | Course | Cr |
|---|---|---|
| INE741 | Lean Manufacturing | 3 |
| INE742 | Quality Control 1 | 3 |
| INE743* | Reliability Evaluation of Engineering Systems | 3 |
| INE744 | Inventory Analysis | 3 |
| INE745* | Facilities Planning and Layout | 3 |
| INE746* | Materials Handling | 3 |
| INE748 | Machine Scheduling | 3 |
| INE749* | Transportation and Supply Chain Systems | 3 |
| INE761* | Computer Aided Design/Computer Aided Manufacturing | 3 |
| INE762* | Analysis of Automated Manufacturing Systems | 3 |
| INE763* | Advanced Information Technology for Industrial & Manufacturing Engineering | 3 |
| INE764* | Time Series Control & Process Adjustment | 3 |
| INE840 | Special Topics in Production Systems & Manufacturing | 3 |
CA_3: Infrastructure and construction management
| Number | Course | Cr |
|---|---|---|
| CIE761 | Traffic Engineering | 3 |
| CIE762 | Airport Planning and Design | 3 |
| CIE763 | Transportation Planning and Land Use | 3 |
| CIE764 | Mass Transit Systems | 3 |
| CIE785 | Risk and Natural Hazard Management | 3 |
| CIE766* | Highway Design and Management | 3 |
| CIE788 | GIS and Remote Sensing | 3 |
| CIE790 | Construction Methods | 3 |
| INE721/CIE789* | Cost Engineering and Control | 3 |
| INE722/CIE782* | Infrastructure Management | 3 |
| INE724/CIE784 | Quality Management Systems | 3 |
| INE727 | Project Scheduling | 3 |
| INE729 | Project Contracting | 3 |
| INE820 | Special Topics in Infrastructure & Construction Management | 3 |
CA_4: Industrial management and Economics
| Number | Course | Cr |
|---|---|---|
| ECO811 | Business Economics | 3 |
| ECO840 | Mathematical and Computational Models in Applied Economics | 3 |
| ECO821 | Advanced Microeconomics | 3 |
| ECO822 | Advanced Macroeconomics | 3 |
| ECO831 | Applied Econometrics I: Cross Section and Panel Data | 3 |
| ECO832 | Applied Econometrics II: Time Series Data | 3 |
| ACC821 | Financial Accounting | 3 |
| FIN836 | Modern Portfolio Management | 3 |
| FIN837 | International Business | 3 |
| FIN861 | Financial Management | 3 |
| INA831 | International Political Economy | 3 |
| INE771* | Financial Engineering | 3 |
| INE772* | Advanced Financial Engineering | 3 |
| INE773 | Risk Assessment and Management | 3 |
| INE781* | Engineering Economy II | 3 |
| INE870* | Special Topics in Finance & Economics | 3 |
CA_5: Computational modelling and data analytics
| Number | Course | Cr |
|---|---|---|
| CSC623 | Knowledge-Based Systems | 3 |
| CSC624 | Data Mining | 3 |
| CSC450 | Computer Graphics | 3 |
| COE741/CSC660 | Artificial Intelligence | 3 |
| COE744 | Intelligent Engineering Algorithms | 3 |
| COE752/CSC611 | Design and Analysis of Algorithms | 3 |
| COE753 | Heuristic Optimization | 3 |
| CSC614 | Metaheuristics | 3 |
| CSC615 | Machine Learning | 3 |
| COE543 | Intelligent Data Processing and Applications | 3 |
| INE765 | Intro to Systems Dynamics | 3 |
| INE860 | Special Topics in Computational Modeling and Data Analytics | 3 |
Other courses
| Number | Course | Cr |
|---|---|---|
| INE800 | Project Course | 3 |
| INE801 | Special Topic Courses | 3 |
| INE899* | Thesis | 6 |
* Courses Not Offered for the Past Two Years
Typical Course Offering - Project Track |
|||
| FIRST YEAR | |||
| Fall Semester | 9 | Spring Semester | 9 |
| Course from Optimization Area 1/2 | 3 | Course from Optimization Area 2/2 | 3 |
| Course from Production Systems and Manufacturing Area or Infrastructure and construction management Area 1 /3 | 3 | Course from Production Systems and Manufacturing Area or Infrastructure and construction management Area 3 /3 | 3 |
| Course from Production Systems and Manufacturing Area or Infrastructure and construction management Area 2 /3 | 3 | Course from Finance and Economics Area 1/1 | 3 |
| SECOND YEAR | |||
| Fall Semester | 6 | Spring Semester | 6 |
| Course from any Concentration Area | 3 | Course from any Concentration Area | 3 |
| Course from any Concentration Area | 3 | INE 800 Project Course | 3 |
Typical Course Offering- Thesis Track |
|||
|
(with the possibility of transferring up to 18 credits from BE degree) |
|||
| FIRST YEAR | |||
| Fall Semester | 9* | Spring Semester | 9* |
|
Course from Optimization (Area 1/2) OR Transferred/Approved Course by program committee |
3 |
Course from Optimization (Area 2/2) OR Transferred/Approved Course by program committee |
3 |
|
Course from Production Systems and Manufacturing Area or Infrastructure and construction management (Area 1 /3) OR Transferred/Approved Course by program committee |
3 |
Course from Production Systems and Manufacturing Area or Infrastructure and construction management (Area 3 /3) OR Transferred/Approved Course by program committee |
3 |
|
Course from Production Systems and Manufacturing Area or Infrastructure and construction management Area (2 /3) OR Transferred/Approved Course by program committee |
3 |
Course from Finance and Economics (Area 1/1) OR Transferred/Approved Course by program committee |
3 |
| * INE credits can be transferred from BE degree | |||
| SECOND YEAR | |||
| Fall Semester | 6 | Spring Semester | 6 |
| Course from any Concentration Area and approved by Thesis advisor | 3 | INE 899 Thesis | 6 |
| GNE798 Research Methods | 3 | ||
Thesis/Projects Reports and Presentation
Preparation & Submission of Thesis/Projects Reports
Theses/projects shall be written and prepared as specified in the “Thesis Guidelines” available using the following link: https://catalog.lau.edu.lb/2020-2021/documents/LAU_Theses_Guidelines.pdf.
Procedure for Thesis Defense & Project Presentation
The thesis/project advisor and the student jointly form the thesis/project committee. A thesis committee shall be made up of three members including the student’s advisor, and a project committee shall be made up of two members including the advisor as well.
At least one member of the thesis committee (besides the advisor) must be a full-time faculty in the department/school concerned. The advisor shall chair the committee.
Graduating students must submit their thesis/project to the committee two weeks prior to the defense/presentation date.
The thesis/project advisor sets the date of the defense in consultation with the student and the committee members. The advisor then notifies the department chair and school dean, in writing, about the details (student’s name, title and abstract of the thesis, date and place of the defense) relevant to the announcement of the defense.
The announcement for the thesis defense or the project presentation shall be circulated by email.
The committee will convene in private following the thesis defense or project presentation to decide on whether the student deserves to pass or if additional work is still required.
To ensure timely graduation in the Fall or Spring semester, the final Thesis (for the thesis track) or Project report (for the project track) must be submitted at least one week before the respective final day of exams.
Students should familiarize themselves with the Graduate School academic rules and procedures accessible using the following link https://catalog.lau.edu.lb/2020-2021/graduate/academic-rules-procedures.php