Logistics Engineering is an emerging engineering field dedicated to the optimal design and operations of a logistics system that involves the forecast, procurement, transport, production, storage, distribution, and warehousing of materials and finished goods. It involves design and integration of material, information, and money flows throughout the supply chain in order to best support the goals of the organization. A logistics engineer needs to have in-depth knowledge of logistics operations, enabling technology, and systems design techniques.

The Master of Science in Logistics Engineering (MSLE) program prepares students for a career in the logistics and supply chain management industry, by applying engineering concepts and tools to:

  • Model, analyze, design, and implement a logistics system
  • Address emerging challenges in the logistics industry with respect to design and development of new logistics technology and application
  • Operate, improve, and optimize a logistics system or supply chain network

Program Requirements and Information

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STEP 1 – Online Application
  • Create an account on the Graduate Admissions website and login to complete the FIU Master’s Program Online Application.
  • Click “Create User Account.” Please note your password for future use. Use your account to enter the system to complete the application which will take approximately 15 minutes.
  • You may complete the online application without entering your TOEFL scores, statement of purpose, and recommendation letters. These documents may be submitted later via mail.
  • Email dep@fiu.edu to confirm that your application has been submitted.
STEP 2 – Application Requirements

Please submit the following items with your online application, via email, or mail to the address below after completion of the online application.

  • A 4-year Bachelor’s degree in engineering or a closely related field such as business administration from an accredited university with a minimum of “B” average in the upper-level (the last 60 credit hours). The applicant whose GPA does not meet the minimum GPA requirement may be considered for conditional admission.
  • Official transcript of each previously attended university (undergraduate and graduate) in an envelope sealed by the degree granting institution.
  • If an official transcript is not in English, the applicant must obtain two sets of transcripts: one to be submitted to FIU in the original language and the other to be translated by an official translation agency (or certified translator).
  • Official proof of degree: a notarized copy of the original diploma is required if the degree is granted from a foreign institution not posted on the official transcripts.
  • Official TOEFL (minimum score 550 paper-based, or 213 computer-based, or 80 internet-based) or IELTS (minimum 6.5). It is a requirement for students who attended/graduated universities in non-English speaking countries. FIU Institutional code is 5206.
  • Statement of purpose: A well-written statement describing your professional goals and reasons for pursuing the MSLE degree at Florida International University. (May be submitted via email.)
  • Resume: A current resume is required, which may include education, professional training, internship, and employment history (full time and part time employment). (May be submitted via email.)
  • Three letters of recommendation from employers, faculty, or professional associates. (May be submitted via email.)


The MSLE program requires 30 credit hours of 10 coursework from three clusters of graduate courses. The first consists of 4 core courses in logistics operations, the second consists of 3 elective courses in systems engineering and the third consists of 3 elective courses in logistics systems and technology.

Core Courses (12 Credit Hours)
  • ESI 5010C Forecasting and Demand Management: Forecasting overview. Times series methods. Regression methods. Advanced forecasting models. Demand planning. Pricing and revenue optimization with capacity constraints
  • EIN 5346 Logistics Engineering: Concepts and tools for effective design and management of supply chain systems. Includes logistics strategies, inventory management, customer service, supply chain integration and logistics network design.
  • EIN 6133 Enterprise Engineering: Enterprise processes and functions, enterprise engineering methodology and techniques, enterprise scalability, systems and vertical integration, systems design and implementation.
  • EIN 6345 Inventory Control System: Design of non-traditional inventory control systems. Development of several inventory system models. Exploration of methods of collecting appropriate demand and cost data for effective systems analysis.
Systems Engineering electives (select 3 courses, 9 credit hours)
  • EIN 5226 Total Quality Management for Engineers: Fundamentals of TQM and its historical development. Integration of QC and management tools, QFD, benchmarking, experimental design for scientific management.
  • EIN 5332 Quality Engineering: This course examines quality control from an engineering standpoint. It covers ways to meet the challenge of designing high quality products and processes at low cost.
  • EIN 5359 Industrial Financial Decisions: The use of financial techniques and data in planning, controlling and coordinating industrial activities. This course will familiarize the student with accounting concepts and analytical methods.
  • EIN 5367 Design of Production Systems: The design of an industrial enterprise including feasibility, plant layout, equipment specifications, auxiliary services, economics and scheduling.
  • ESI 5522 Simulation Models of Engineering Systems: Simulation Methodology; design and implementation of models of engineering systems using computer software; case studies.
  • ESI 6316 Applications of OR in Manufacturing: Overview of OR techniques. Manufacturing system and product selection. Shop loading, resource allocation, production scheduling, job sequencing, and plant layout problems. System performance evaluation.
  • ESI 6440 Integer Programming: Formulating and solving decision-making problems with discrete decision variables. Methods to solve large-scale integer/mixed-integer models.
  • ESI 6455 Advanced Engineering Project Management: This course covers entire phases of project management including selection, planning, budgeting, scheduling, monitoring, and control. It focuses on the management of engineering projects through case studies and independent research assignment.
  • ESI 6470 Stochastic Optimization: Formulating and solving decision-making models with uncertain data. Exact and approximation techniques for large-scale stochastic models.
  • ESI 6524 Advanced Industrial Systems Simulation (3): Advanced simulation techniques with a focus on practical systems modeling using several user-oriented simulation languages.  Projects involving design of high performance simulation programs are required.
  • ESI 6546 Network Flow Analysis (3): Deterministic and stochastic network flow analysis; minimal cost flow, shortest route, max-flow, and out-of-kilter algorithms; constrained network analysis; and stochastic queuing networks.
Logistics Systems and Technology electives (select 3 courses, 9 credit hours)
  • EGS 5620 Enterprise Systems Configuration: Enterprise systems overview; major enterprise functions; standard operation procedures; system configuration and parameters; master data; user interfaces and reports; and hands-on experience.
  • EGS 5621 Enterprise Systems Collaboration: Collaborative engineering and environment; decision processes; changes management; virtual enterprise operation systems; and hands-on experience with a commercial enterprise operation system.
  • EGS 5622 Enterprise Systems Integration: Enterprise architectures; work flow modeling and design; systems integration methodology; vertical and horizontal integration; master data analysis and integration; and hands-on experience.
  • EGS 5623 Enterprise Systems Optimization: Supply networks overview; interactive supply network planning; optimal systems and process design; optimization techniques and heuristics; master and transaction data transfer; and hands-on experience.
  • EIN 6336 Advanced Production Planning and Control: Analytical and algorithmic planning methodologies, planning and scheduling technologies, sequencing rules, control strategies, and line balancing methods.


The MSLE program is taught during regular, 15-week semesters and courses are offered in a mix of delivery modes, in-person, hybrid or online. The program can be completed in one year if the student follows the full-time schedule.


The total cost of the Master of Science in Logistics Engineering program is $21,000 for Florida residents and $30,000 for non-Florida residents. Tuition will be calculated each semester based on the number of courses enrolled. Students must pay for courses at the beginning of each semester, and may select to complete their payments in one lump sum or via a payment plan.

Scholarships & Financial Aid

Academic Works

FIU offers Academic Works, a website that matches students with relevant scholarship opportunities.  Find the one that’s right for you!  Academic Works is an online scholarship application tool where FIU students can browse and apply for more than 100 scholarships, made possible by the generosity of FIU alumni and friends.  Students can apply after they are matriculated into one of our programs.  For more information visit https://give.fiu.edu/business-governance/scholarships/.

Federal Financial Aid

For information on Federal Financial Aid and the Free Application for Federal Student Aid (FAFSA), please visit our financial aid page. To contact the Financial Aid Office for more information visit http://finaid.fiu.edu or call (305) 348-7272.



Tuition Cost




  • Program can be completed in one year if full-time schedule is followed
  • Flexibility of course offerings : in-person, hybrid or online
  • No GRE Requirement
  • Program starts: fall, spring and summer


What are people saying?

“I chose the MSLE program because the degree provided me with a specialization and job opportunities in the area of logistics.”

– Stephanie Serrano Costa Ramos, Logistics Engineering Manager at Orange Technologies, Inc.

“I chose to enroll in the MSLE among other degrees because the program coursework best pertained to my role.”

– Mitchell Nisbeth, Purchasing Manager at Pollo Tropical

“The MSLE degree at FIU sets itself apart from similar degrees because it provides real-life hands-on projects which create a positive problem-solving mindset that allows graduates to bring value as soon as they are hired.”

– Guillermo Vulcano, VP of Business Operations at Cooper General Global Services