Master of Science in Logistics and Supply Chain Management

Upon completing the program, graduates are expected to demonstrate proficiency in several critical domains:

System Optimization: Design and optimize complex logistical systems using advanced data analytics, simulation, and digital twins.

Analytical Decision-Making: Apply sophisticated optimization models and methods to solve real-world procurement, inventory, and transportation challenges.

Strategic Leadership: Develop the management and leadership skills necessary to drive logistics strategies within Qatar and internationally.

Research Proficiency: Conduct rigorous independent research, including compiling original data and testing hypotheses to advance local and regional insights.

Technological Integration: Utilize Industry 4.0 enablers, such as machine learning and blockchain, to enhance supply chain resilience.

Multidisciplinary Expertise: Integrate principles from engineering, management, and decision-making to address diverse industry sectors like oil and gas, healthcare, and e-commerce.

Applicants seeking admissions to the College of Science and Engineering graduate programs at HBKU should have a strong academic record (minimum 3.0 GPA out of 4.0) from a recognized university.

Applicants to the master’s programs should have a bachelor’s degree.

They should have also majored in one of the following disciplines: Industrial and Systems Engineering, Computer Science, Information Systems, Mathematics, General Engineering, or other related fields.

Students are required to demonstrate strong analytical skills.

Applicants are required to submit a valid IELTS score of 6.5 or a TOEFL score of 79 to demonstrate their proficiency in English.

First Year – First Semester

LSCM 601 – Research Ethics and Methods – 3 Credit Hours
LSCM 607 – Optimization Models and Methods – 3 Credit Hours
LSCM 611 – Supply Chain Management – 3 Credit Hours

First Year – Second Semester

Elective Course 1 – 3 Credit Hours
Elective Course 2 – 3 Credit Hours
Elective Course 3 – 3 Credit Hours

Second Year – First Semester

Elective Course 4 – 3 Credit Hours
Elective Course 5 – 3 Credit Hours
LSCM 701 – Graduate Research Seminar – 0 Credit Hours

Second Year – Second Semester

(Thesis Track)
Master’s Thesis – 9 Credit Hours

OR

(Applied Project Track)
Applied Project – 6 Credit Hours
Elective Course 6 – 3 Credit Hours

Elective Courses (Examples)

Technology & Analytics:
LSCM 741 – Machine Learning for Supply Chain Management
LSCM 643 – Data Analytics for Supply Chain Optimization
LSCM 731 – Industry 4.0 in Manufacturing

Operations & Infrastructure:
LSCM 631 – Port Management and Maritime Logistics
LSCM 641 – Facility and Transportation Management

Finance & Management:
LSCM 651 – Financial Techniques for Investment Appraisal
LSCM 621 – Project Management in Logistics

Program Overview
The Master of Science in Logistics and Supply Chain Management is a full-time program consisting of 33 credit hours, typically completed over two years.

The program includes:

• Three core courses
• Five elective courses (or six in the applied project track)
• A research thesis (9 credit hours) or an applied project (6 credit hours)
• One semester of graduate research seminars