Industrial Engineering
  • Overview
  • Program Educational Objectives
  • Degree Plans
  • Course Description
  • Final Year Projects
  • Enrollment and Graduation Statistics

Industrial Engineering is concerned with the design, improvement and installation of integrated systems of people, materials, information, equipment and energy. Industrial Engineering draws upon specialized knowledge and skills in mathematical, physical, and social sciences together with the principles and methods of engineering analysis and design to specify, predict and evaluate the results to be obtained from such systems. In a developing economy, Industrial Engineers play a crucial role, often as leaders in teams that design, implement, operate and optimize increasingly complex systems of people, capital, information, equipment and energy.

Mechanical and Industrial Engineers often collaborate, particularly in the field of manufacturing engineering, to ensure that a system of people and manufacturing equipment generate products from a supply of materials efficiently.

The Industrial Engineering program offered by the Department is ABET accredited. It is designed to produce graduates who can become future leaders for industry, academia, government and the society in Oman; and whose vision is founded upon fundamental knowledge, creative and analytical skills, local/regional perspective and ethics. Through a blend of course work and projects, the Department tries to inculcate in students the ability to apply knowledge of science, mathematics and engineering to work effectively in multidisciplinary teams, provide leadership and technical expertise, and practice engineering with concern for society and environment. The engineering development skills are obtained through a series of project-oriented courses, while the needed practical experiences are achieved through a dynamic collaboration between MIE department and the industries in Oman and abroad.

To graduate, a student is required to complete a total of 136 credit hours resulting in the award of a Bachelor of Engineering (BEng) degree. The credit hours are allocated to University, College, and Program requirements. The Department requirements include 77 credit hours of core courses and 12 credit hours of elective courses.The degree plans give the complete information. The degree requirements and major courses are listed in tables below:


B.Eng Degree Requirements


No. of Credits

University Requirements


University Electives


College Requirements


College Electives


Departmental Requirements


Major Requirements


Major Electives







Common Courses within the MIE Department:

Engineering Drawing and Graphics, Material Science and Engineering, Solid Mechanics, Manufacturing Processes, Probability and Statistics for Engineers, Engineering Economics, Innovation and Entrepreneurship, Electromechanical Systems Engineering. The Industrial Engineering courses offered by the Department are designed to produce graduates who can become future leaders for industry, academia, government and the society in Oman; and whose vision is founded upon fundamental knowledge, creative and analytical skills, local/regional perspective and ethics.


Industrial Engineering specialization courses:

Basic Mechanics, Thermofluids, Industrial Information Systems, Work System Analysis and Design, Mathematics of Linear Programming, Methods of Operations Research, Stochastic Optimization, Ergonomics and Safety, Advanced Probability and Statistics, Production Planning and Control, Facilities Design and Logistics, Quality Engineering and Six Sigma, Simulation Models, Industrial Systems Design, Automated Industrial Systems, Product Design and Manufacturing, Project I, Project II, Seminar. In addition, students have a  wide-range of options to choose from the list of “Major Electives” for their elective courses, which is provided in the degree plan.


Industrial Training Courses:

Two mandatory Industrial Training courses are also part of the College requirement. In Training I, students get a 2-week in-house training in their third year, during the break between the fall and spring semesters. In the MIE Department, this training is in the form of design projects to be carried out in the computer laboratories and the engineering workshop. Training II is planned in the summer after the students complete their fourth year. For a period of 8 weeks, the students receive training from a private company or government ministry related to their specialization. A number of students receive their summer training abroad through collaboration agreements with international parties or through International Association for the Exchange of Students for Technical Experience (IAESTE). The student, supervised by the training organization, has to submit a report to his/her program at the end of the training period. The industrial training program is coordinated by the Assistant Dean for Industrial Training and Community Services. 

In line with the vision and mission of the University, College of Engineering, and Mechanical and Industrial Engineering (MIE) Department, and in consultation with all constituencies, the MIE Department has established five Program Educational Objectives (PEOs) for the Industrial Engineering (IE) program. These objectives are aimed at producing graduates who:


  1. Practice industrial engineering in industries, government sectors and service organizations, both nationally and globally, or pursue higher studies or business entrepreneurships.
  2. Apply knowledge and skills to design, develop, implement and improve integrated systems that include people, materials, information, equipment and energy.
  3. Apply analytical, computational and modern engineering tools and technologies to accomplish system integration.
  4. Undertake direct, effective and leadership role in the development of Oman by contributing to the development of its capabilities and the best use of its resources.
  5. Are knowledgeable in ethical issues, maintain high standards of health, safety and environment, communicate well and function individually and in multidisciplinary teams.


Students Outcomes:

Student Outcomes are statements that describe what students are expected to know or be able to do by the time of graduation from the program. At the time of graduation, IE students should have acquired:


  1. An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
  2. 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.
  3. An ability to communicate effectively with a range of audiences.
  4. 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.
  5. 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.
  6. An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
  7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

In order to graduate with B.Eng. degree in Industrial Engineering, a student is required to complete a total of 136 credit hours.  The credit hours are allocated to University, College and Department requirements.


The Industrial Engineering undergraduate degree plans can be downloaded by clicking on the following links.



MEIE2129 Basic Mechanics (3 Credits) 

(Prerequisite: PHYS2107)

This course introduces students to the basic mechanics of particles and rigid bodies. The course consists of two parts, statics and dynamics. In the statics part, the students are introduced to the concept of force, moment, resultant, free body diagram, equilibrium state and friction. In the dynamics part, the students are introduced to the concept of velocity, acceleration, inertia forces, centrifugal forces, particle and rigid body dynamics.

MEIE2181 Workshop II (1 Credits) 

(Prerequisite: ENGR1600)

As well as giving an extensive grounding in theoretical aspects of engineering, the professional engineer   needs to appreciate the methods by which things are made and to understand and respect the skills involved in these processing. An elementary knowledge of manufacturing techniques is an essential for many undergraduate courses, so that some workshop experience is now regarded as necessary before starting an engineering course or in the initial year of that course. This course gives a "hands on"

MEIE3102 Solid Mechanics (3 Credits) 

(Prerequisite: MEIE2102 or MEIE2129)

Principles of basic mechanics are extended to cover range of simple stress calculations that all mechanical engineers should understand. These situations include concepts of normal and shear stress, concepts of normal and shear strain, relationship between stress and strain, normal stress and deformation in axially loaded members, shear stress and angle of twist in torque loaded members, stresses and deflection in beams, stresses in pressure vessels, statically indeterminate problems, and buckling of columns.

MEIE3107 Engineering Drawing & Graphics (3 credits)

(Prerequisite: FPEL (0560 or 0600 or 0601 or 0602 or 0603 or 0604)

Engineering drawing is the technical language of engineers and technicians in academic or industrial settings. This course provides introduction to the theory and standards of technical drawings, computer aided solid modelling. The course covers theory of technical drawing and modeling of two and three-dimensional objects. Topics covering in the theory are: conventions and standards of engineering drawing, sketching techniques, theory of projections, rules of dimensioning, auxiliary views, isometric views, pictorial views and tolerencing. The course extensively covers two and three-dimensional geometric modeling using latest CAD programs. Student will learn how to create solid models of parts and assemble them through several tutorial sessions. Modifying geometry, dimensioning, storing and retrieving predefined shapes, generating multiviews, designing and manipulating drawing sheets are also taught.


MEIE3159 Thermofluids (3 Credits)

(Prerequisite: PHYS2108, MATH4174)

This fundamental course introduces basic concepts and laws of thermodynamics and fluid mechanics through a balanced handling of theory and engineering applications, properties of pure substances, mass and energy transfer, first law of thermodynamics (closed and open systems), second law of thermodynamics (closed and open systems), basic concepts of fluid mechanics, Bernoulli equation and flow in pipes, head losses in pipes and pipe network. Students are expected to conduct experiments and write a report.



MEIE3262 Materials Science and Engineering (3 Credits)

(Prerequisite: CHEM1071)

This course is designed to give an introduction to the material and engineering. It consists of structure and properties of materials used in engineering such as metals, polymers and ceramics. The main topics are crystal structures, imperfection in crystalline solids, mechanical properties and the effect of deformation on mechanical, electrical and thermal properties and phase diagrams.

MEIE3181 Electromechanical Systems (3 Credits)

(Prerequisite: MATH2107, PHYS2108)

This course introduces the fundamentals of electrical circuit analysis, electric machines and simulation of electromechanical systems. DC and AC circuits are discussed in this course, and students will be exposed to hands-on experience with electrical circuits. Moreover, simulation of electromechanical systems through finding their transfer functions is practiced. The course also covers the capabilities and limitations of different types of DC and AC electric machines in various drive applications. 

MEIE3269 Mathematics of Linear Programming (3 Credits)

(Co-requisite: MATH3171*)

This course focuses on the mathematical techniques useful to understand and apply of Operations Research and their applications in Engineering. Topics include the optimal solution of deterministic mathematical models, modeling process, theory of linear programming, the simplex method, duality theory and sensitivity analysis.


MEIE3271 Methods of Operations Research (3 Credits)

 (Prerequisite: MEIE3269)

This course focuses on the optimization methods and algorithms to solve Operations Research problems arising in engineering applications. Topics include the dual simplex, branch & bound, cutting plane, algorithms to solve network problems, dynamic programming, goal programming, nonlinear programming, etc. Specialized package software will be also used in order to solve real-life engineering applications in reasonable amount of time.


MEIE3281 Probability & Statistics for Engineers (3 Credits)

(Prerequisite: MATH2107)

This course emphasizes on the role of probability and statistics in engineering. The course will cover data summary and presentations; Introduction to probability; Discrete and continuous probability distributions; Hypothesis testing; Curve fitting, regression and correlation; Introduction to statistical quality control; Also, the use of Computer applications in statistical analysis will be emphasized with its application to engineering problems.


MEIE3282 Industrial Information System Design (2 Credits)

(Prerequisite: COMP2002)

Design of Industrial Information Systems presents a body of knowledge applicable to many aspects of industrial and manufacturing systems. New software systems, such as Enterprise Resource Planning, and new hardware technologies, such as RFID, have made it possible to integrate what were separate IT databases and operations into one system to realize the greatest possible operational efficiencies. This course provides a background in, and an introduction to, the relevant information technologies and shows how they are used to model and implement integrated IT systems. Course topics include introduction to database concepts; tables, relationships, keys, data modeling tools; ms-access, SQL, visual basic and applications includes the development of an industrial case studies.

MEIE3284 Industrial Information System (3 Credits)

(Prerequisite: COMP2002)

Industrial Information Systems presents a body of knowledge applicable to many aspects of industrial and manufacturing systems. This course provides a background in, and an introduction to, the relevant information technologies and shows how they are used to model and implement integrated IT systems.


MEIE3290 Operations Research Optimization (3 Credits)

(Prerequisites: MATH3171, MEIE3281)

This course focuses on the mathematical models and methods of Operations Research and their applications in engineering. Topics include the optimal solution of deterministic mathematical models, modeling process, linear and integer programming their solution methods, duality, sensitivity analysis, network models, and nonlinear programming.

MEIE3292 Work System Analysis & Design (3 Credits)

(Prerequisite: MEIE3281)

The objective of this course is to provide students with skills in systematic analysis of work methods, work measurement and work design to improve productivity. Topics include: Methods Engineering concept; Methods analysis tools and techniques, Methods improvement principles, Charting methods, Operations analysis; Motion study and Work measurement techniques, Time study, performance rating and allowances, Predetermined time system, Work sampling; Standards development. The course contains a term project, where the students work on teams to study a real-life task to improve it.

MEIE4201 Ergonomics & Safety (3 credits)

(Prerequisites: MEIE3292, MEIE3212)

The objectives of this course are to expose students to the field of Ergonomics/Human Factors engineering so as to enable them to identify safety problems and their nature as they relate to the human involved and to develop skills in ergonomic design for improved efficiency, health and safety.  Topics include Ergonomics/Human Factors Engineering concept; Human capabilities and limitations: Anthropometry, Physiology and Biomechanics; Manual work design; Workplace, equipment and tool design; Human-machine-environment system design: Design and layout of controls and displays; Physical environment; Ergonomics assessment and implementation of ergonomics programs.


MEIE4218 Advanced Probability & Statistics (3 credits)

(Prerequisite: MEIE3281)

The course includes the following topics: design and analysis of variance, single-factor experiment, simple linear regression and correlation; several factors (factorial experiments); multiple linear regression two-level factorial designs, and two-level fractional factorial designs as well as the use of computer applications in statistical analysis. The examples and exercises strongly emphasize engineering applications through software packages.

MEIE4222 Production Planning & Control (3 Credits)

(Prerequisite: MEIE3281; Corequisite: MEIE3269)

This is an introductory course in the area of analysis and control of production systems, with an emphasis on short to intermediate term decision making and quantitative techniques. The topics to be covered will include an introduction to production systems; forecasting; inventory systems; aggregate planning; production, capacity and material planning; job sequencing and operations scheduling; integrated production planning including manufacturing resource planning (MRP II) and just in time Manufacturing (JIT); and an introduction to supply chain.

MEIE4224 Quality Engineering and Six Segma (3 Credits)

(Prerequisite: MEIE4218)

Topics covered: introduction to the philosophy and basic concepts of quality improvement; techniques for statistical process monitoring and control; control charts, acceptance sampling; process capability assessment; modern management systems and philosophies, ISO 9000, total quality management (TQM). This course also introduces students to Six Sigma.


MEIE4250 Operations Research Stochastic Models (3 Credits)

(Prerequisite: MEIE3290)

This course extends the mathematical methods of Operations Research Optimization and their applications in order to cover the stochastic settings. Topics include decision theory, queuing systems, Markov chains and game theory. To solve problems subject to uncertain data, students will learn how to formulate engineering problems in such a manner that simultaneous analysis of multiple options is possible.


MEIE4265 Stochastic Optimization (3 Credits)

 (Prerequisite: MEIE3269, MEIE 3281)

This course extends the knowledge earned in previous Operations Research courses and their application in order to cover the stochastic context. Topics include decision theory, queuing theory, probabilistic models, recourse paradigm and game theory.


MEIE4262 Manufacturing Processes (3 Credits)

(Prerequisites: MEIE3161 or MEIE3262)

Introduction to manufacturing, manufacturing engineering and manufacturing processes. Casting processes including sand casting, permanent mold casting and disposable plaster mold casting. Pattern, mold and die design and casting defects. Engineering metrology, dimensional tolerances, testing and inspection, and quality assurance Metal forming including rolling, forging, extrusion, drawing, and swaging processes. Welding  process and technology selection.


MEIE4272 Simulation Models (3 Credits)

(Prerequisites: MEIE4222, (MEIE4265 or MEIE4250 or MEIE4271))

In this course students will learn the theoretical background of simulation and how to apply it to real world systems. This course deals with this category of systems. Topics will include modeling techniques, introduction to queuing theory, random number generators, discrete-event simulation, Monte Carlo simulation, simulated data analysis, and simulation variance reduction techniques. Students will learn how to use integrated simulation/animation environment to create, analyze, and evaluate realistic models using simulation software (ARENA).

MEIE4275 Facility Design and Logistics (3 Credits)

(Prerequisites: MEIE4222)

This course covers the basic principles of plant (factory) design and layout: introduction to facilities planning, facility location; requirements for facilities design, flow, space and activity relationships, personnel requirements; facility layout; computerized layout planning; logistics and material handling systems; storage and warehousing operations.


MEIE4283 Engineering Ethics (1 Credits)

The course includes the following topics: principles of engineering ethics; responsibility, safety, risk, liability, and standards in engineering; environmental ethics; intellectual property rights; ethics case studies.

MEIE4285 Engineering Economics (3 Credits)

(Prerequisite: MATH2107)

This course is an introduction to engineering economics, time value of money, discounted cash flow calculations, present-work comparisons, equivalent annual- worth comparisons, rate-of-return comparisons, structural analysis of alternatives, financial analysis, accounting and depreciation, effects of inflation, sensitivity analysis, industrial practices, break-even analysis, expected value, and, topics in engineering applications of economy.

MEIE4286 Management for Engineers (3 Credits)

The intent of this course is to provide some insights into the nature of management in which the engineers are most likely to encounter in their career. The course covers introduction to Engineering Management with emphasis on the management functions of planning, organizing, motivating, controlling and leading. The nature and types of decision making are also discussed.


MEIE5233 Maintenance and Reliability Engineering (3 Credits)

(Prerequisite: MEIE3281)

Fundamental concepts of reliability, reliability functions, reliability distributions, analysis of failure data, reliability of systems, probabilistic risk assessment, design for reliability, reliability testing, maintainability and availability, computer applications.


MEIE 5262 Industrial Systems Design (3 Credits)

(Prerequisite: MEIE4275)

This course provides an opportunity for graduating engineers to learn the design methodology and associated skills. The objective of the course is that the student will be able to apply the knowledge of engineering to open-ended projects, create a design to satisfy stated objectives, analyze the components of the design from mechanical, practical and cost points of view, and evaluate the quality of the design and optimize to meet the sponsor's needs.


MEIE5267 Automation and Computer Integrated Manufacturing (3 Credits)

(Prerequisites: MEIE3159, MEIE4262)

This course introduces the student to practical methods of automatic control of machines, processes and systems. An introduction to computer-integrated design and manufacturing with a focus on manufacturing process planning is included. The course emphasize on concurrent engineering principles, manufacturing process engineering, computer-aided process planning, NC programming, and CAD/CAM integration. Course provides experience with CAD/CAM software and NC machines. The course provides individual hands-on experience in PLC programming.

MEIE5275 Automated Industrial Systems (3 Credits)

 (Prerequisite: MEIE4262, MEIE 3181)

This course is used to introduce automation and computer-integrated concepts for industrial systems. This course is emphasizing on applying control and automation principles and applied these concepts into computerized numerical control machines (CNC), other automated equipments and industrial robotics.


MEIE5287 Project Management (3 Credits)

(Pre-requisite: MEIE3270 or MEIE3290 or MEIE3271 or MEIE4161)

 This is an intermediate course in the area of project management, with an emphasis on short to intermediate term decision making and quantitative techniques. The course introduces the key activities for project success and help to identify and understand the importance of key people in every project. Project planning, budgeting and cost estimation for a project are covered in details. Furthermore, the knowhow required to achieving timely completion of projects through proper scheduling is addressed. In addition, the course covers the important aspect of identifying, assessing, and controlling risk throughout the execution of projects.

MEIE5288 Innovation and Entrepreneurship (3 Credits)

(Prerequisite: MEIE4285)

In today’s global economy it is important to equip university students with skills to innovate, and to be entrepreneur. Innovation is about growth, recognizing opportunities to create economical and social value. It has become the source of competence in all fields. This course provides students with a general introduction to innovation and entrepreneurship Topics include sources of innovation, creativity thinking, opportunity assessment, creative thinking methods, IP protection and business plan development.

MEIE5291 Project I (2 Credits)

(Prerequisites: MEIE4272 or MEIE4275)

The course will focus on detail design. Teach students how to integrate knowledge from the separate courses studied previously and concurrently.  The students will tackle open-ended engineering problems whose solutions require a synthesis of design, judgment, technical skills, analysis, creativity, innovation and cost analysis.  Afford students the opportunities to practice their skills in preparing and presenting reports.  Teach students how to design and conduct experiments, as well as to analyze and interpret data.

MEIE5292 Project 11 (3 Credits)

(Prerequisite: MEIE5291)

The course will focus on detail design. Teach students how to integrate knowledge from the separate courses studied previously and concurrently.  The students will tackle open-ended engineering problems whose solutions require a synthesis of design, judgment, technical skills, analysis, creativity, innovation and cost analysis.  Afford students the opportunities to practice their skills in preparing and presenting reports.  Teach students how to design and conduct experiments, as well as to analyze and interpret data.

MEIE5295 Seminar (0 Credits)

Presentations on current engineering topics and industrial practices. The course reflects current trends in research and development in Industrial Engineering, and emerging industrial applications. The students will listen to the seminar and participate in question session and discussion and write a short report on the materials present during the seminar. They are also asked to prepare a seminar and deliver a presentation to their peers.

MEIE5201 Occupational Safety Engineering (3 Credits)

The course includes: Concept of safety, Hazard analysis and control, Risk assessment, Machine safety, Fire protection, Hazardous materials, Electrical safety, Environment, Safety training and accident prevention, Organization of safety programs.

MEIE5224 Six Sigma Methodology (3 Credits)

The student will learn the Six Sigma methodology through the DMIAC (Define-Measure-Analyze-Improve-Control). The aim is to meet or exceed customer expectations by improving process quality. The Six Sigma methodology objective is to eliminate or manage the source of variations. 

MEIE5263 Design for Manufacturing (3 Credits)

(Prerequisites: MEIE3107, MEIE4262)

The course covers the product design process; interaction of materials, processes and design; economic considerations and design considerations for machining, casting, forging forming and other processes of materials transformation; designing with plastics; design for assembly; actual product design projects and case studies from industry and business.

MEIE5271 Decision Analysis Models and Applications (3 Credits)

(Prerequisites: MEIE4265, MEIE4285)

This course provides an overview of modeling techniques and methods used in decision analysis, including multiattribute utility models, decision trees, and Bayesian models. Psychological components of decision making are discussed. Elicitation techniques for model building are emphasized. Practical applications through real-world model building are described and conducted, including business management, supply chain and logistics, transportation, health care, and homeland security. Each group, which consists 1-3 students, will work on a project throughout the semester, including oral presentations and written reports.


MEIE5273 Product Design and Manufacturing (3 Credits)

(Prerequisite: MEIE4262)

This course examines the process of new product development from an interdisciplinary standpoint (business, engineering, and industrial design and manufacturing). Product design and development, concept generation and selection, parametric feature-based CAD, design for manufacturability (DFM) and assembly (DFA), The cornerstone is a project in which teams of management, engineering, and industrial design students conceive, design, and prototype a physical product. Topics include identifying customer needs, concept generation, product architecture, industrial design, and design-for-manufacturing.

MEIE5286 Supply Chain Management (3 Credits)

(Prerequisite: MEIE4222)

This course brings together the strategic, planning, and operational roles of the supply chain. The function of supply chain management is to design and manage the processes, assets, and flows of material and information required to satisfy customers’ demands. Globalization of economy and electronic commerce has heightened the strategic importance and of supply chain management and created new opportunities for using supply chain strategy and planning as a competitive tool.

MEIE5285 Technology Transfer (3 Credits)

The course examines the transfer of technology including formalized intellectual property rights and associated know-how between firms and across national frontiers. Technology transfer involves both private law (chiefly contract and intellectual property) and public law (antitrust/competition and trade law). At the global level, technology transfer flows are encouraged and regulated in a number of instruments, including the WTO Agreements. Specialized agreements, such as the climate change regime, also promote technology transfer. Technology transfer has been identified as a potential mainspring for economic development in the poorer nations of the world. The course will also feature a close examination of legal issues encountered in license agreements.

MEIE5290 Data Mining (3 Credits)

This course on data mining will cover methodology, major software tools and applications in this field. By introducing principal ideas in statistical learning, the course will help students to understand conceptual underpinnings of methods in data mining. Considerable amount of effort will also be put on computational aspects of algorithm implementation. To make an algorithm efficient for handling very large scale data sets, issues such as algorithm scalability need to be carefully analyzed. Data mining and learning techniques developed in fields other than statistics, e.g., machine learning and signal processing, will also be introduced.



For information on other courses, listed in your degree plan offered by other department/college, Kindly click here.


In the Final Year Project (FYP), Industrial Engineering undergraduate students undertake a major project that enables them to design and implement it based on the knowledge and skills they have already gained from their bachelor degree courses. The main objective of the project is to provide students an opportunity to apply course-based knowledge to a moderate level engineering project, and gain the experience of product/system design. The project is of five credits, and is divided into FYPI (2 credits) and FYPII (3 credits) during their last two semesters. This FYP can help our society and business in solving challenging problems and can add value to existing industrial operations. The topics of the final year projects are proposed by the faculty members to target the problems in daily industrial operations and businesses. Students work in groups on a specific topic to achieve practical knowledge as well as team experience. The project titles, student names and supervisors for some recent FYPs are given below:


Industrial Engineering Final Year Projects, 2018-2019

S. No.

Project Title

Students Names

(Bold: Team Leader)



Developing A Tomato-Based Product Process or Plant

Esra’ Abusharkh

Asila Al-Shamli

Dr. Nasr Al-Hinai

Dr. Emad Summad


Optimization of Parameters for Sustainable Manufacturing Process – Special Focus on Machining Process.

Bakhit Al-Mahri

Abdullah Al-Gheilani

Al Waleed Al-Jahwari

Dr. Sujan Piya

Dr. Ramanathan Arunachalam


Analyzing and Improving Nursing Time at SQUH using Lean Six Sigma

Abdulaziz Al-Yaqoubi

Mazin Al-Aamri

Mohammed Al-Balushi

Dr. Emad Summad

Dr. Jahara Hayudini

Dr. Mahmud Al-Kindi


Supply Chain Framework for Eco-Sustainable Bio-composite Applications in Oman

Khalfan Al-Arfi

Eshaq Al-Rawahi

Mohammed Al-Hadhrami

Dr. Khalid Alzebdeh

Dr. Chefi Triki


Optimization Models for the Heat Integration in Engineering Processes

Zaid Al-Siyabi

Hamad Al-Maawali

Dr. Chefi Triki

Dr. Nasser Al-Azri


Industrial Engineering Program Enrolment and Graduation Statistics



Academic Year

Enrollment Year










Degree Awarded (Bachelors)














































































































  • * Students have not yet  selected programs

  • ** Includes late students in year 7 and above

    Note: The College does not have part-time (PT) students for undergraduate programs.


FT-full time

PT-part time