BSc in Engineering Systems and Management program provides a state-of-art undergraduate education to prepare students for successful and long-standing careers in the competitive global economy. The curriculum, led by world-class teachers, is based on strong fundamentals in operations research and is enriched by coursework that targets the specific needs of local industries. Students gain valuable industrial experience through a summer internship and also have the opportunity to participate in international exchange programs during their junior year.

Program Enrolment and Degree Data
Number of Enrolled Students
Fall 2023 179
Fall 2022 153
Fall 2021 143
Fall 2020 133
Fall 2019 102
Fall 2018 177
Number of Graduates
Academic Year Count
2022 29
2021 42
2020 28
2019 11
2018 9
Program Educational Objectives
  • Graduates will meet the expectations of employers of systems and management engineers.
  • Qualified graduates will pursue advanced study if they so desire.
Student Learning Outcomes

Students graduating with a BSc in Engineering Systems and Management degree will attain the following:


An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.


An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.


An ability to communicate effectively with a range of audiences.


An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.


An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.


An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.


An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Career Opportunities

Engineering Systems and Management make decisions concerning the best use of people, material, equipment, energy, and cost in achieving an organizational aim. They can find work in:

  • the service sector
  • supply chain and logistics
  • health systems
  • military
  • security and intelligence
  • energy
  • high-tech manufacturing
  • transportation
  • oil and petrochemical industries
  • government
Career Specializations

Career specializations include:

  • systems engineer
  • management engineer
  • health system engineer
  • planning and operations manager
  • financial analyst
  • quality and maintenance engineers
  • policy analyst
Program Facilities
  • Human Factors Laboratory
  • Supply Chain Operations Laboratory
  • Production Laboratory


Professional Chapters

IISE Student Chapter

The objectives of the Institute of Engineering Systems and Management (IISE)student chapter at the Khalifa University of Science and Technology (#671) is to promote the profession and practice of Systems and Management Engineering through organized effort in study, research and discussion of the fields of Systems and Management Engineering and the dissemination of knowledge thereby gained.

The goals of the chapter are to:

  • Invite several professionals from Industry to campus to share their experiences and motivate the student body.
  • Organize workshops, field-trips and other academic activities to help the development of student body.
  • Organize and participate in events to help promote the discipline.
  • Organize regional meetings and a conference with other IIE Chapters in the UAE and Middle East and North Africa to network with future colleagues from other universities.
Course Description

Course Description of Industrial and Systems Engineering 

ESMA 200                               Engineering Economic Analysis (3-0-3)

Prerequisite:      BUSS 201


This course will introduce economic analysis for the comparison of engineering alternatives to make informed financial decisions. Topics include time value of money, present-worth analysis, annual equivalence analysis, rate-of-return analysis, and methods to address project uncertainty.


ESMA 201                               Introduction to Industrial & Systems Engineering (3-0-3)

Prerequisites:    MATH 112; ENGR 112


This course provides an introduction and overview of various domains in industrial & systems engineering. Students will become familiar with common IE applications including planning & control in manufacturing, operations research, simulation, quality, ergonomics, engineering economics, supply chains and Systems engineering terms, standards, and procedures and acquire knowledge and skills necessary to engineer complex, multi-disciplinary systems.


ESMA 251                               Operations Research I (4-0-4)

Prerequisite:      MATH 204


This course introduces Operations Research and deterministic mathematical modeling with emphasis on linear programming. Topics include mathematical modeling of industrial problems, graphical interpretation, simplex method, duality and sensitivity analysis; general solution strategies; and utilization of modeling languages and solvers for computer solution.


ESMA 271                               Modern Methods of Manufacturing (3-3-4)

Prerequisite:      ENGR 112; PHYS 121


This course introduces modern methods of manufacturing with emphasis on processes and techniques such as digital and additive manufacturing to address the interaction of design, materials, energy, and processing. Laboratory instruction and hands-on experience in machining, process planning, economic justification, and current manufacturing methodologies.


ESMA 311                               Quality Control & Reliability (3-3-4)

Prerequisite:      MATH 242


This course will introduce theory and methods of quality control, system level reliability and maintenance engineering. Topics covered include process capability indices, attributes and variables control charts, time weighted control charts (CUSUM and EWMA), process and improvement with design of experiments, system reliability, availability, maintenance with the use of relevant engineering standards.


ESMA 331                               Stochastic Processes (3-0-3)

Prerequisite:      MATH 204; MATH 206; ESMA 341


To learn techniques for modeling stochastic systems, introduce methods for using stochastic models in solving engineering design problems. Analyze probability models that capture short and long term effects of randomness on the systems using a broad range of mathematical and computational tools. Applications such as inventory, reliability, queuing models, and service systems will be discussed.


ESMA 341                               Simulation Modeling and Analysis (3-3-4)

Prerequisites:    ENGR 112; ESMA 201; MATH 242


Discrete event simulation methodology emphasizing the statistical basis for simulation modeling and analysis. Overview of computer languages and simulation design. Applications include a variety of industrial situations, including manufacturing and logistics simulations.


ESMA 351                               Production and Operations Management (3-0-3)

Prerequisite:      MATH 242; ESMA 251


This course introduces students to concepts of operations management in manufacturing and service industries. The course covers various operations management tools and methods, such as forecasting, inventory management, lean, scheduling, material and capacity planning, to address how firms can effectively design their operations to match supply with demand under different circumstances. The course also includes an overview of integrated production planning and control systems, including MRP, MRP II and ERP.


ESMA 352                               Lean Manufacturing (3-0-3)

Prerequisite:      ESMA 271 or MECH 270


This course will introduce students to lean philosophy and tools, and will teach students how to design lean manufacturing systems. It will identify differences between push and pull type manufacturing systems. While the course primarily focuses on manufacturing systems it will also provide basic knowledge needed to design lean service systems. 


ESMA 360                               Human Factors & Safety Engineering (3-3-4)

Prerequisite:      ESMA 201


An introduction to human capabilities and their limitations in engineered systems to increase productivity and work safely. Topics include the range of human motions, senses, and cognitive abilities; the incorporation of the human element into system and product design; communicating critical information to human users; ergonomics and safety in workplace design; safety in workplace. Students apply a wide range of design principles, based on appropriate engineering standards to common workplace settings.


ESMA 361                               Data and Information Engineering (3-0-3)

Prerequisite:      ESMA 201


This course introduces data modeling and the design and implementation of databases to extract and represent information for various industry applications. Topics include relational models and normalization, entity-relationship models, manipulation of data using Structured Query Language, data visualization and analysis tools, and retrieving data from external sources such as ERP systems and data warehouses. 


ESMA 362                               Systems Project Management (3-0-3)

Prerequisite:      BUSS 201


This course presents a systems approach to managing engineering projects. The course objectives include: gain understanding of essential principles associated with effective project management, application of systems engineering and leadership principles in the day-to-day business environment, acquire skills in defining, planning, initiating and monitoring systems based engineering projects using proven techniques and commonly available computer software tools.


ESMA 391                               Independent Study I (Variable course credits from 1 to 3)

Prerequisites:    Approval of department and junior standing


This course gives an upper level undergraduate student the opportunity to participate in an individual or group project, study, or research activity under the supervision of a faculty member.  A formal report is required.


ESMA 395               Special Topics in Industrial and Systems Engineering (1 to 3 credits)

Prerequisites:    Junior standing and Course Specific


This course mainly deals with new trends in Industrial and Systems Engineering and emerging technologies. Course is repeatable if title and content differ.



ESMA 401                               Advanced Systems Engineering (3-0-3)

Prerequisite:      ESMA 201


This course introduces advanced level to systems methodology, design, and management, an overview of systems engineering as a professional and intellectual discipline, and its relation to other disciplines, such as operations research, management science, and economics.


ESMA 422                               Reliability (3-0-3)

Prerequisite:      ESMA 311


To understand and learn system level reliability and maintenance engineering, specific topics include hazard functions, life distributions, censoring, life tables, nonparametric and parametric estimation and inference, accelerated life testing, structure functions, reliability and maintenance systems, replacement theory.


ESMA 430                               Supply Chain and Logistics (3-3-4)

Prerequisites:    ESMA 351


This course introduces supply chain and logistics concepts integrating theory and methods developed in courses such as production, operations and inventory management and Operations Research. The course emphasis is on understanding the role of supply chains for competitive advantage, when and how these concepts are applied to improve the distribution of goods and services, as well as on using mathematical programming and optimization methods for their adequate implementation.


ESMA 431                               Time Series Forecasting (3-0-3)

Prerequisites:    MATH 242


The objective of this course is to teach the students how to model and forecast time series data, using specialized statistical techniques and software. The emphasis will be on the time domain. Topics include: regression analysis, exponential smoothing methods, stationarity, time series specification, decomposition and the Box-Jenkins methods, ARMA/ARIMA, SARIMA models, model estimation, multi-step ahead forecast and forecast error. This course will provide students with hands-on experience in techniques for modeling and prediction of time series.


ESMA 432                               Advanced Stochastic Processes (3-0-3)

Prerequisite:      ESMA 331


This course covers the analysis and modeling of stochastic processes. Topics include measure theoretic probability, martingales, renewal theory, elements of large deviations theory, Brownian motion, stochastic integration and Ito calculus and functional limit theorems. In addition, the course will go over some applications to finance engineering, insurance, queuing and inventory models.


ESMA 433                               Advanced Statistics (3-0-3)

Prerequisite:      MATH 242


This course introduces Advanced Inferential Statistics and the conceptual underpinnings of statistical methods and how to apply them to address more advanced problems. Topics covered includes design of experiments, nonparametric statistics, and Bayesian statistics. Learning how to effectively use data and use of statistics-oriented programming language such as R or SAS.


ESMA 440                               Fundamentals of Business Analytics (3-0-3)

Prerequisite:      ESMA 311


The course covers the tools and methods used in analytics at a practical level. Applications of machine learning methods will be emphasized in various business and engineering fields. Students will learn to visualize, analyze data and forecast trends. The course will be based on “R” software which is a programming language and software environment for statistical computing and graphics.


ESMA 441                               Advanced Simulation (3-0-3)

Prerequisite:      ESMA 341


This course provides an advanced treatment of simulation topics focusing on agent-based simulation models and analysis techniques. Topics include large-scale and complex industrial systems; input modeling, output analysis, sensitivity analysis, design of experiments (Taguchi methods), comparison of alternative system configurations. 


ESMA 444                              Healthcare Analytics and Management (3-0-3)

Prerequisites:      MATH 242, ESMA 351


The aim of this course is to teach healthcare analytics and management tools/methods and apply them to support decision-making in diverse healthcare contexts. Leveraging techniques from industrial engineering and operations research, analytics and accompanying technology are introduced to apply for healthcare planning, control and decision making. Key topics include predictive analytics, process improvement, supply chain and inventory management, risk management, quality and safety.


ESMA 445                               Six-Sigma Methodology & Applications (3-0-3)

Prerequisite:      MATH 242


This course introduces the concept, deployment and practice of Six-Sigma, Six-Sigma methodologies for process improvement and process/product design including: DMAIC and DMADV methods; overview of different quality management tools applied in Six-Sigma projects; Six-Sigma project management and applications of Six-Sigma tools in real world projects.


ESMA 451                               Operations Research II (3-0-3)

Prerequisite:      ESMA 251


This course will introduce a variety of optimization problems with integer variables and constraints. Topics covered include assignment problems, transportation, transshipment problems, network flows problems, and IP algorithms such as Cutting Planes, Branch & Bound.  Applications include the Knapsack Problem and the Traveling Salesman Problem.  Appropriate Optimization software tools will be used to solve a variety of practical problems.


ESMA 461                               Design of Human-Integrated Systems (3-0-3)

Prerequisites:    MATH 242


Introduction to the effective design of information technology to support human activity in the workplace.  Topics include general cognitive systems engineering concepts and principles and specific concepts and principles of interface design, task analysis, prototyping, and empirical usability evaluation methods.  Case studies and individual and group design projects help students apply the concepts and principles in domains such as service, management, manufacturing, transportation and control systems.


ESMA 475                               Facilities Planning and Warehousing (3-3-4)

Prerequisites:    ESMA 352


Design of facilities for the most efficient flow and storage of raw materials, work-in-process, and completed stock through a work place.  Topics include facilities layout planning models, space-activity relationships, materials handling, storage, and warehousing in relation to trends toward reduced inventory, smaller lot sizes, and just-in-time production using current modeling and analysis tools. 


ESMA 480                               Financial Engineering (3-0-3)

Prerequisites:    MATH 242; ESMA 251


This is an introductory course on financial engineering, technical difficulty of the subject is kept at a minimum, while the major ideas and concepts underlying modern financial engineering are explained and illustrated. Students will learn about the different types of interest, annuities, debt retirement methods, investing in stocks and bonds. The course covers the binomial model for stock prices, portfolio management, and an elementary introduction to continuous time models and the Black-Scholes formula.


ESMA 481                               Procurement and Supply Management (3-0-3)

Prerequisite:      ESMA 351


Procurement supplies the organization with a flow of materials and services that ensure continuity of supply by maintaining effective relationships with existing sources and by developing other sources of supply either as alternatives or to meet emerging or planned needs. Topics include sourcing strategies, outsourcing, pricing and total cost of ownership.


ESMA 485                               Stochastic Manufacturing And Service Systems (3-0-3)

Prerequisite:      ESMA 331


Models for describing stochastic movements of parts and material in manufacturing facilities, supply chains, inventory systems, and equipment maintenance networks. Analysis of congestion, delays, machine usage, line balancing, equipment availability, inventory ordering policies, and system crashes.  Basics of Markov Chains and queuing theory.


ESMA 491                               Independent Study II (Variable course credits from 1 to 3)

Prerequisites:    Approval of department and senior standing


This course gives an upper level undergraduate student the opportunity to participate in an individual or group project, study, or research activity under the supervision of a faculty member.  A formal report is required.


ESMA 495                               Special Topics in Industrial and Systems Engineering (3-0-3)

Prerequisites:    Topic Specific


This course mainly deals with new trends in industrial and systems engineering and emerging technologies. Course is repeatable if title and content differ.



ESMA 497                               Senior Design Project (1-6-3)

Prerequisites:    ENGR 111; ESMA 311; ESMA 341; and Senior Standing


Participation in team projects dealing with design and development of a product, process, or a system. Number of projects will be offered by the different departments, some of which will be multi-disciplinary in nature. The design projects require students to apply a systems approach in solving a real world problem. Students will draw upon their engineering background, experience, and other pertinent resources. The projects require a) addressing constraints (including economic, environment, social, political, health and safety, manufacturability, sustainability) and b) identifying and applying the relevant engineering standards. Oral and written presentations are required. Some teams receive an assignment with industry clients.


ESMA 498                               Senior Design Project II (0-9-3)

Prerequisite:      ESMA 497


Continuation of ESMA 497.