Calendar

MSc in Systems and Engineering Management

MSc in Systems and Engineering Management

The MSc in Systems and Engineering Management program is designed for engineers aspiring to achieve the highest levels of responsibility and leadership in their professional career.

Systems and engineering management bridges the gap between engineering and management and provides graduates with both excellent technical and managerial skills. Systems and engineering management skills are required to manage projects in interdisciplinary organizations focusing on improving the efficiency and quality of operations while reducing costs.

The program is built on advanced courses in data analysis, optimization, decision making tools and leadership skills. These tools complement your engineering education and greatly enhance your chance for advancement.

The program is designed to provide state of the art education in strategic areas to educate the national managerial workforce and support Abu Dhabi Economic Vision 2030. The program currently offers the following specializations tracks:

    • Supply Chain, Logistics and Transportation
    • Lean Manufacturing Systems
    • Healthcare Systems Engineering

Program Chair  

Dr. Nelson King

Department of Industrial and Systems Engineering

Program goals

The educational goals (objectives) of the MSc in Systems & Engineering Management program are to produce graduates who:

    • Advance professionally and be recognized as leaders in their chosen fields.
    • Apply their technical expertise to address the needs of society in critical, creative, ethical, and innovative manner.
    • Further develop their knowledge and skills through graduate education

Program Outcomes

A student graduating with the MSc in Systems & Engineering Management will be able to:

    • Identify, formulate, and solve advanced systems and engineering management problems through the application of modern optimization and decision making tools and techniques;
    • Manage data, as well as analyze, interpret and make decisions.
    • Conduct research and, document and defend the research results.
    • Function in a team environment and communicate effectively.
    • Acquire knowledge of contemporary issues in the field of systems and engineering management and develop an aptitude for continuous improvement
    • Understand professional and ethical responsibilities.

The university general graduate studies admission requirements apply for admission to the MSc in Systems & Engineering Management (SEM) program.

The program is designed for candidates with a bachelor’s degree in engineering. Candidates with degrees in other related fields may also be considered.  Qualifications of all candidates will be thoroughly assessed at the admissions stage and remedial courses (if needed) will assigned. Credits from remedial courses do not count towards fulfillment of degree requirements and are not used to calculate the graduate CGPA.

Duration of study 

The minimum period of study will be 1.5 years (3 regular semesters) from the date of first registration in the case of full-time registration and 2.5 years (5 regular semesters) from the date of first registration in the case of part-time registration.

The maximum period of study will be 2 years (4 regular semesters) from the date of first registration in the case of full-time registration and 3 years (6 regular semesters) from the date of first registration in the case of part-time registration. In exceptional cases, an extension of registration may be granted.

Category Credits required
Program Core 12
Program Electives 12
SEM Master's Thesis 12
Seminar in Research Methods 0
Total 36

Program Requirements

Students seeking the degree of MSc in SEM must successfully complete a minimum of 36 credited hours as specified in the categories detailed in this section with a minimum Cumulative Grade Point Average (CGPA) of 3.0.

SEM Program Core

Students must complete the following four core courses (12 cr.) as well as ENGR 695 Seminar in Research Methods (0 cr.):

      • SEMA 612 Optimization Methods (3 cr.)
      • SEMA 614 Systems Engineering Management and Leadership (3 cr.)
      • SEMA 620 Business Analytics (3 cr.)
      • SEMA 650 Cost Engineering (3 cr.)
      • ENGR 695 Seminar in Research Methods (0 cr.)

Students must complete at least nine credits, including SEMA 612 and SEMA 620, in order to register for the thesis. 

Program Electives

Students must complete a minimum of 12 credits of program electives from the courses listed below:

      • SEMA 621 Production, Operations and Inventory Management (3 cr.)
      • SEMA 623 Advanced Lean Manufacturing (3 cr.)
      • SEMA 630 Quality Management (3 cr.)
      • SEMA 633 System Simulation: Modelling and Analysis (3 cr.)
      • SEMA 641 Supply Chain, Logistics and Transportation Networks (3 cr.)
      • SEMA 642 Global Supply Chain Management (3 cr.)
      • SEMA 643 Warehousing and Distribution (3 cr.)
      • SEMA 671 Healthcare Operations Management (3 cr.)
      • SEMA 672 Lean Service Systems (3 cr.)
      • SEMA 673 Healthcare Information Systems (3 cr.)
      • SEMA 694 Selected Topics in Systems and Engineering Management (3 cr.)

SEM Master's Thesis 

      • SEMA 699 Master’s Thesis (12 credits)

A student must independently complete a Master’s thesis that involves original research-oriented work related to important systems and engineering management problems under the direct supervision of at least one full-time ISYE faculty advisor. The outcome of research should demonstrate the synthesis of information into knowledge in a form that may be used by others. The research findings must be documented in a formal thesis and defended successfully in a viva voce examination.

Program Tracks

A student may choose to organize the selection of the elective courses and the Master’s thesis topic to follow one of the identified specialization tracks within the field of Systems and Engineering Management.  In such cases, the selected track will be noted on the student’s transcript provided that the student completes:

      • A minimum of 9 credits from the group of courses designated by the track.
      • A Master's research thesis within the domain of the track.

The tracks identified by the MSc in SEM program and the required courses for each of the tracks are as indicated below.

Supply Chain, Logistics and Transportation
SEMA 641 Supply Chain, Logistics and Transportation Networks
SEMA 642 Global Supply Chain Management
SEMA 643 Warehousing and Distribution
Lean Manufacturing Systems
SEMA 621 Production, Operations and Inventory Management
SEMA 623 Advanced Lean Manufacturing
SEMA 630 Quality Management
Healthcare Systems Engineering
SEMA 671 Healthcare Operations Management
SEMA 672 Lean Service Systems
SEMA 673 Healthcare Information Systems

Study Plan

Typical study plans for full-time and part-time students enrolled in the MSc in SEM program are shown below. Each student is expected to select the courses in consultation with her/his academic advisor.

Typical Study Plan for Full-Time Students
Year 1, Semester 1 Year 1, Semester 2 Year 2, Semester 1 Year 2, Semester 2

SEMA 612 (Core) 

SEMA 620 (Core) 

SEMA 650 (Core) 

ENGR 695 Seminar in Research Methods

Elective 1

Elective 2

Elective 3

SEMA 614 (Core) 

Elective 4   

SEMA 699 Master's Thesis

SEMA 699 Master's Thesis

Typical Study Plan for Part-Time Students
Year 1, Semester 1 Year 1, Semester 2 Year 2, Semester 1 Year 2, Semester 2 Year 3, Semester 1 Year 3, Semester 2

SEMA 612 (Core) 

SEMA 620 (Core) 

ENGR 695 Seminar in Research Methods

Elective 1

Elective 2

SEMA 650 (Core) 

Elective 3

Elective 4    

SEMA 699 Master's Thesis

SEMA 614 (Core)     

SEMA 699 Master's Thesis

SEMA 699

Master's Thesis

Further information 

Download the pre-requisite chart

SEMA 612 Optimization Methods (3-0-3)
Prerequisite: MATH 211 Differential Equations and Linear Algebra (or equivalent)
This course covers topics in unconstrained and constrained optimization, linear, integer and quadratic programming. Formulation examples, and traditional and advanced numerical methods to solve the above models will be analyzed, discussed, and implemented using optimization software. Modern applications to system and engineering management will be presented.

SEMA 614 Systems Engineering Management and Leadership (3-0-3)
This course enables students from a variety of engineering backgrounds to learn tools and techniques to successfully adopt systems thinking and engineering management approach to prepare them for greater managerial and leadership responsibilities. Topics covered include: systems engineering, engineering management, project planning and management, team management, and leadership styles.

SEMA 620 Business Analytics (3-0-3)
Prerequisites: MATH 211 Differential Equations and Linear Algebra (or equivalent) and MATH 213 Probability and Statistics for Engineers (or equivalent)
This course deals primarily with the descriptive and predictive functions of business analytics which uses data and statistical methods to analyze past performance and build predictive models to support business planning decisions. The course focuses on the basic topics of data collection, analysis and statistics, data visualization and summarization, descriptive statistical measures, probability distributions, data modeling, sampling and estimation, statistical inference, regression analysis, forecasting and data mining techniques.

SEMA 621 Production, Operations and Inventory Planning (3-0-3)
Prerequisites: SEMA 612 Optimization Methods and SEMA 620 Business Analytics
This course covers concepts and problems underlying the design and operation of contemporary production systems. The course content includes: models for inventory control; dynamics of production processes; production, operations and inventory planning activities from queuing theoretic perspective. While the emphasis is placed on manufacturing facilities, many of the presented results apply also to the design, planning and control of operations taking place in the service sector.

SEMA 623 Advanced Lean Manufacturing (3-0-3)
Prerequisites: SEMA 621 Production, Operations and Inventory Planning
This course provides a deep understanding into the fundamental principles of lean manufacturing. Specific topics covered include: lean philosophy, push vs pull; value stream mapping, current and future state mapping, implementing the future state; establishing continuous flow, designing level pull and material distribution strategies; mixed model value streams; strategies to respond to dynamic demand; seeing the whole.

SEMA 630 Quality Management (3-0-3)
Co-requisite: SEMA 620 Business Analytics
This course introduces students to fundamentals of statistical methods and modern quality management methodologies: Advanced and newly developed quality control and improvement methods. The foundations of modern quality improvement methodologies; Six Sigma methodology, TQM, Quality at the source.

SEMA 633 System Simulation: Modeling and Analysis (3-0-3)
Prerequisites: MATH 213 Probability and Statistics for Engineers (or equivalent)
This course provides an advanced and in-depth treatment of discrete-event simulation modeling and analysis techniques. Topics include: modeling large-scale and complex systems; queuing theory; pseudo-random number and random variate generation, input modeling (data collection, analysis, and fitting distribution), output analysis (initial bias and termination bias, variance reduction techniques), sensitivity analysis, design of experiments, comparison of alternative systems.

SEMA 641 Supply Chain, Logistics and Transportation Networks (3-0-3)
Prerequisites: SEMA 612 Optimization Methods and SEMA 620 Business Analytics
This course focuses on mathematical modeling and optimal solution techniques for designing and evaluating large scale supply chain, logistics and transportation networks. The covered topics include network design fundamentals and solution methodologies; Factors considered include: shipping routes, warehouse locations, modes of transportation (air, road, rail, and sea), pricing, transportation and distribution costs (volatile fuel costs), infrastructure constraints, security and regulatory requirements, risks, etc.

SEMA 642 Global Supply Chain Management (3-0-3)
Co-requisite: SEMA 641 Supply Chain, Logistics and Transportation Networks
The course focuses on development and management of complex global supply chains for companies sourcing components form as well as selling products in the global market. The topics covered in this course include strategic sourcing, structuring the global supply chain, international logistics, material management and replenishment strategies, coordination and collaboration, quality management, efficiency, responsiveness, resilience and risk management for global supply chain. The course is particularly structured to design and manage lean supply chains.

SEMA 643 Warehousing and Distribution (3-0-3)
Prerequisite: SEMA 612 Optimization Methods
A systems approach to managing the movement of goods through the supply chain with an emphasis on warehouses for storage and demand-driven distribution centers. The course provides the fundamental concepts, issues, and algorithms to design and operate these facilities. Topics covered include warehouse configuration, storage and handling equipment, space management and storage policies; cross-docking, order picking; inbound/outbound logistics; and vendor managed inventory.

SEMA 650 Cost Engineering (3-0-3)
Prerequisites: BUSS 201 Fundamentals of Accounting and Finance (or equivalent)
Cost engineering provides an analytical framework for cost determination in various contexts such as in merchandising, manufacturing, service and projects. Topics include cost estimation, cost control, business planning and management, profitability analysis, project cost management, and life cycle costing.

SEMA 671 Healthcare Operations Management (3-0-3)
Prerequisites: SEMA 612 Optimization Methods and SEMA 620 Business Analytics
Healthcare spending and the demand for health services continue to increase. Thus, improving the quality and efficiency of healthcare delivery are urgently needed. This course introduces the students to healthcare management as well as the methods used in the design and structure of healthcare systems. In addition, the course explores opportunities for improvement in the design and management of healthcare operations.

SEMA 672 Lean Service Systems (3-0-3)
Co-requisites: SEMA 671 Healthcare Operations Management
This course provides an overview of the fundamental principles of lean service systems, with emphasis to healthcare that balances inefficiency with service availability. Specific topics covered include: lean philosophy, value in healthcare; healing pathway analysis (value stream mapping), current and future state mapping, implementing the future state; implementing value-based initiatives; finding solutions for the whole.

SEMA 673 Healthcare Information Systems (3-0-3)
This course provides a detailed overview of healthcare information systems for professionals who will work at the interface of clinical care, information technology, and the healthcare system. Topics include evidence-based care, clinical workflow analysis, unintended consequences of systems, and life-cycle management of complex clinical computing systems.

SEMA 694 Selected Topics in Systems and Engineering Management (3-0-3)
Prerequisites: Will be specified according to the particular topics offered under this course number.
This course covers selected contemporary topics in Systems and Engineering Management. The topics will vary from semester to semester depending on faculty availability and student interests. Proposed course descriptions are considered by the Department of Industrial and Systems Engineering on an ad hoc basis and the course will be offered according to demand. The proposed course content will need to be approved by the Graduate Studies Committee. The Course may be repeated once with change of contents to earn a maximum of 6 credit hours.

SEMA 699 Master’s Thesis (0-12-12)
Prerequisites: Completion of 9 course credits, including SEMA 612, SEMA 620, ENGR 695 Seminar in Research Methods, and approval of the MSc in SEM program chair. In the Master’s Thesis, the student is required to independently conduct original research under the supervision of a full-time faculty advisor/s. The outcome of the research work is disseminated by a thesis and defended through a viva voce examination