MY|UOWD Online Payment

Open Day: Saturday, 24 May 2025 from 3pm to 7pm | UOWD Building - Register now!

Enquire

Master of Engineering Management

Degree Summary

Program Outcomes

Program Structure

Faculty

Accreditation

Admission Requirements

Duration

18 - 24 months
10 subjects

Classes commence

September (Autumn)

January (Winter)

April (Spring)

Fees*

AED 9,597.26 / USD 2,615 per subject
*VAT 5% inclusive

The Master of Engineering Management (MEM) offers a comprehensive grounding in management thinking tailored for the engineering and manufacturing sectors, ideal for those aspiring to managerial roles. The program emphasizes the development of creative, analytical, and conceptual skills, empowering students to make strategic judgments across all engineering functions. Graduates will be equipped to collaborate across various disciplines including finance, human resources, and marketing.

Students can tailor their studies with elective subjects in specialised streams (up to 3 subjects) such as Business Analytics, Digital Transformation, Innovation and Entrepreneurship, Supply Chain and Logistics Management, and Engineering Asset Management, choosing up to three subjects that align with their interests.

Given the influx of large-scale engineering projects in the region, there is a growing demand for engineers possessing managerial skills. Our Master of Engineering Management (MEM) degree in Dubai enables graduates to assume managerial roles across diverse engineering disciplines, including chemical, civil, electrical, environmental, industrial, material, mechanical, software, and structural.

Enquire Now

First Name

required

Last Name

required

Phone

required

Country of Residence

required

Preferred Session

required

By submitting this form I agree to receive communications from UOWD about the course of enquiry along with other communications

Apply Payment

Program Selection Guide

Entry Requirements

Students applying for a master's degree must have completed a bachelor's degree (or equivalent) at an accredited institution of higher education and have achieved the minimum grades outlined below:

Country	Direct Admission	Probationary Entry* GPA 2.5-2.99 or equivalent	Conditional Entry** GPA 2.0-2.49 or equivalent
Australia	65%	57%	50%
Brazil	7/10	6/10	5/10
China	75%	63%	50%
Colombia	3.5/5	3.25/5	3/5
Egypt	65% (Good)	57%	50% (Pass)
India	50%	45%	40%
	10 Point System: 7.0/10.0	10 Point System: 6.0/10.0	10 Point System: 5.0/10.0
	4 Point System: 3.0/4.0	4 Point System: 2.5/4.0	4 Point System: 2.0/4.0
Iran	14	13	12
Japan	70/100 or 4/5	65/100 or 3.5/5	60/100 or 3/5
Jordan	70%	60%	50%
Kenya	50%	45%	40%
Lebanon	11	10.5	10
Mexico	8/10	7/10	6/10
Nepal	50%	45%	40%
Nigeria	50%	45%	40%
Pakistan	50%	45%	40%
Russia	Average of 4	Average of 3.5	Average of 3
South Korea	80/100	75/100	70/100
UAE	3	2.5	2
UK	2^nd Class Honours with lower division (or min 50%)	45%	Pass (or min 40%)
USA	3	2.5	2

* Applicants with a bachelor’s degree in the relevant field of study, or its equivalent, with an overall GPA between 2.5 and 2.99 (on a 4.0 scale) may be conditionally admitted to a master’s program, only if they meet the necessary English language requirement. Such students must take a maximum of 18cp of subjects studied for the master’s degree during the period of conditional admission and must achieve an overall WAM of 55 in their first 3 subjects at the University. Students who fail to achieve this standard may have their enrolment discontinued.

** Applicants with a bachelor’s degree in the relevant field of study, or its equivalent, with an overall GPA between 2.0 and 2.49 (on a 4.0 scale) may be conditionally admitted to a master’s degree, only if they meet the necessary English language requirement and they will be required to complete a maximum of 18cp remedial non-credit bearing subjects prior to enrolment in their chosen master’s degree. Students must achieve a minimum WAM of 55 in these subjects in order to progress to the Master’s degree or may have their enrolment discontinued.

Note:

[1] Unless otherwise stated, the entry requirements above are based on Section I institutions. Further details on alternate entry requirements can be obtained by contacting the Admissions department.
[2] Applicants for the MEM program are required to have a recognised Bachelor's degree in Engineering.

English Language Requirements

At UOWD, all classes are taught in English and in order to enrol in a master's degree you will need to submit one of the following certificate of English language proficiency:

English Language Test	Entry Score
IELTS Academic	Overall score of 6.0 with 6.0 in Reading and Writing and 5.0 in Listening and Speaking
TOEFL Internet based	79 with not less than 20 in Writing, 18 in Reading, 17 in Listening, 16 in Speaking
TOEFL Computer based	213 with a 4.0 TWE/Essay Writing
TOEFL* International paper based	550 with a 4.0 TWE/Essay Writing
EmSAT Achieve English	1400

Note: Students who have achieved an overall Academic IELTS score of 6, but with a minimum of 5 in reading and writing for their relevant program, may opt to take Academic Writing as an additional subject during their first semester at an additional fee of AED 1,050/USD 286. A 50% pass rate is required to clear the post enrolment condition. Alternatively, the student may opt to retake the IELTS test.

* Students admitted under this criterion must complete the test at AMIDEAST.

Credit for Prior Learning

If you are seeking credit for prior learning, you will need to submit an official academic transcripts showing all courses studied and the grades obtained, syllabus details (including information on course content) for the courses you have successfully completed and an explanation of the grading system. Your eligibility for Credit for Prior Learning will be decided in consultation with UOWD's Faculty Offices prior to the beginning of the program.

To make an application for your chosen program, complete the online application form and submit it along with all your supporting documentation (see below) prior to the application deadline.

Late applications may be accepted subject to the availability of places but applicants are encouraged to apply as early as possible.

Supporting Documentation

The following records are required to process your application. Please ensure that all these documents accompany your UOWD application for admission form submittal:

The original transcripts of your bachelor’s degree results
A Certificate of Completion

(If the above documents are not in English, a certified English translation is required)

Proof of your english language proficiency

(Note: Results from IELTS & TOEFL tests must be sent to the University directly from the IELTS or TOEFL testing centres quoting the UOWD institution code IELTS: AE109 / TOEFL: 7907)

Your current resume or CV
A copy of your UAE ID card (if applying from within the UAE)
A copy of your passport (and Residence Visa, if resident in the UAE).

Additionally, if you are seeking advance standing in your chosen program:

Certified copies of official academic transcripts showing all courses studied and grades obtained, syllabus details (including information on course content) of the courses you successfully completed and an explanation of the grading system.

Attestation of Documents

Applications are required to obtain attestation / equivalency of their bachelor’s degree from the UAE Ministry of Education. The attestation / equivalency process is dependent upon whether you completed your bachelor’s degree within the UAE or outside the UAE.

If the bachelor’s degree was completed outside UAE, you must have your bachelor’s degree and transcripts/mark sheets certified by:

The issuing University and/or recognised authority for tertiary education in the host country in which you completed your education
The Ministry of Foreign Affairs in the host country
The UAE Embassy in that host country OR the Embassy of the host country in UAE must attest the authenticity of the documents and attestations.

Additionally, the UAE Ministry of Education must issue an Equivalency Certificate. Applicants must have a valid UAE residency visa when applying for an Equivalency Certificate. In special cases where complying with conditions (2) and (3) are not feasible, the certificates may be verified against originals by Embassies in the UAE and the UAE Ministry of Foreign Affairs.

If you are unable to secure the Equivalency Certificate(s) as outlined above will be asked to sign a “Consent to Provide Documents” form agreeing to secure the equivalency. You will be permitted to commence your studies at UOWD, but will be given a maximum of one semester to obtain the equivalency certificate(s). UOWD reserves the right to take appropriate action against any applicant who cannot secure the appropriate documentation in this time, which may result in the termination of the student’s enrolment at UOWD.

For more information or assistance on attesting documents from outside UAE, click here.

Enquire Apply Payment

Program Structure

The Master of Engineering Management comprises of a total of 9 subjects that includes 5 core subjects, 3 elective subjects that preferably are in a stream that permits students to focus on their interests and career aspirations, and the final project.

Students from a three year bachelor's degree or a four year program without a research component will be required to take additional two subjects decided in consultation with the faculty.

Engineering Management Subjects

Core Subjects

Logistics decisions play a critical role in the development of fast, efficient and responsive supply chains, and Engineers are increasingly called upon to make such decisions. This subject examines the key aspects of logistics systems design, operation and optimisaiton within the broader context of supply network configuration. The subject introduces a range of quantitative tools and techniques that support logistics decisions, and helps students develop the skills required to deal with real world logistics problems through simulation modelling, case study analysis and experiential exercises.

Topics will cover: Scope Management, Time Management, Human Resource Management, Risk Management, Financial Management, Project Plans, Project Quality Management and Procurement and Contract Management.

Concentrating on the search of appropriate operations research techniques to assist in the solution of engineering management problems and basic experimental design. Topics include: the basic principles of modelling, decision support models, modelling failure processes, search methods, scheduling models, queuing theory and its application, ANOVA analysis and regression modelling within the context of modelling an existing system. Basic statistic knowledge is assumed with use of a statistics package required. Self-learning package covering the assumed statistical knowledge is provided.

The subject introduces engineers to strategic management. This includes basic strategic planning principles. The aim is to create awareness of strategic issues which engineering and technology-based organisations face and how an organisation goes about developing a strategic plan to address them. This includes an appreciation of the nature of competition and competitive leverage that can be achieved from effective technology decisions. A need for consciousness of these issues amongst engineers is crucial to their function and development as professionals in both commercial and not for profit organisations.

Financial management principles, time value of money, discrete assets considerations, continuous assets considerations, identification of cost elements, cost prediction methods, regulatory economics, financial case development, engineered asset repair-replace decision making.

Capstone

The dissertation is a project allowing you to pursue a particular area in depth and solve a specific practical engineering problem. Students complete a dissertation in their area of interest. The dissertation develops skills in information retrieval, project planning and organisation, analysis, problem solving and effective communication of results. Involves the undertaking of an individual supervised project focused on solving a problem relevant to the discipline area of the degree. The student would normally be required to do a literature survey, analysis, and develop suitable solutions to the selected problem. This will allow the students to apply the knowledge and skills acquired in the structured coursework and thus gain valuable confidence in their ability to practice engineering at a high professional standard. An electronic version of the final report in Microsoft word must be submitted for assessment.

Elective Subjects

Students are required to choose any 900-level subject of at least 18 credit points as approved by the School of Engineering

Engineering Asset Management Stream

Subject Description - This subject is designed to provide skills and understanding to incorporate sustainable development principles and practices into everyday decision making and planning processes. It provides an overview of the major sustainable development issues facing professionals such as engineers, scientists, economists, when they make choices as to particular products, processes and systems to adopt in their workplaces.

Employment law, contract law, issues such as types of interface i.e. contract types (cost plus, schedule of rates): HR structure and sourcing arrangements, management of the interface, performance measurement, monitoring and management, managing the client, managing the supplier, legal implications, employment law and safety law implications, duty of care, transmission of business, industrial relations, intellectual property, ownership and use of maintenance data and know-how.

Maintenance concept design methodology; reliability theory; data recordings and analysis; identification and analysis of failure modes; maintenance rule selection; preventative replacement policies; optimisation of inspection frequencies; clustering of tasks; opportunity maintenance; specification of resource requirements.

RAM (Reliability, Availability & Maintainability) studies, requirements flow down, cost estimation, analysis on design, probabilistic design, logistic support, maintainability, availability, interface control, system integration, reliability grown modelling, cost estimation, sparing’s. Testing and performance evaluation, system safety modelling, installation procedures, asset management, disposal, asset purchase/replacement policies and decision-making. More specifically, the topics covered under this subject include terminologies for reliability engineering, failure data analysis and modelling, system reliability modelling, system maintainability & availability, design for reliability, reliability testing, reliability growth testing and reliability management.

Digital Transformation Stream

Cloud platforms offer managed services which allow for rapid design, prototyping and building of application solutions with a robust suite of advanced tools. Cloud computing is critical for providing the computing infrastructure required to support companies in their digital transformation journey. In this subject, students will learn the fundamentals of cloud computing and its architecture. Specifically, the following topics will be covered: the vision of cloud computing; its characteristics and benefits; cloud computing architecture including service-oriented architecture and mobile computing, service and deployment models; virtualization techniques and types; cloud operations and challenges; industry computing platforms; security in cloud computing and its future. The students will also be introduced to various cloud services and applications, such as migrating to the cloud; accessing and communicating with the cloud; using webmail services; cloud management. Finally, the students will be introduced to IBM cloud resources and services.

Artificial intelligence (AI) and machine learning play a key role in enabling digital transformation and powering the 4th Industrial Revolution. Due to the ability of machines to learn from past experiences, AI is poised to open the door to business automation. AI-powered solutions can help companies gain a competitive advantage by creating better products and services tailored to their customers, reduce risk of failures or downtime, reduce costs thanks to predictive maintenance, increase operational efficiency, improve safety and compliance, instantly process data, and to get a better understanding of their customers. This subject will equip student with advanced knowledge of modern AI and enhance their skills to appropriately choose and apply AI techniques to solve practical problems related to organizations and their transformation to industry 4.0. The subject covers a variety of topics including: AI adoption approaches in the industry, machine learning and deep learning, natural language processing, computer vision, AI ethics, and the design of AI-powered solutions.

Digital transformation is a data-driven approach to business that involves the analysis of large amounts of structured and unstructured data to inform decision-making and gain a competitive advantage in the market. This subject presents a detailed overview of the field of data science, highlighting its role in digital transformation. It covers the fundamentals of data science, including data acquisition, pre-processing, machine learning, and data visualization. Students will learn how to manipulate and transform data, build and evaluate models, and gain insights through exploratory data analysis and visualization techniques. They will also be introduced to cutting-edge technologies such as big data and distributed computing, deep learning and neural networks, and cloud-based deployment of data models, as well as ethical considerations in data science. By the end of this subject, students will have the skills and knowledge required to apply data science to a range of real-world digital transformation challenges

Business process management (BPM) paired with Robotic Process Automation (RPA) combine task and process-centric and cross-functional approach, eliminating mundane and often time-consuming tasks to improve business performance. This subject provides students with a comprehensive understanding of managing and optimizing business processes through automation. The subject begins with an introduction to business process management, covering process modeling, improvement, and use cases. Students will learn about BPM architecture and methodology to effectively manage and automate business processes. The course then introduces Robotic Process Automation (RPA), including the tools, platforms, and design of RPA solutions. Students will also explore cognitive automation and artificial intelligence. The subject concludes with a case study on managing and scaling RPA solutions, including implementation and management.

Supply Chain & Logistics Management Stream

Increasing marketplace competitiveness has ushered in the era of shape-up or get run over. End-to-end Supply Chain Management holds the promise of an effective response to such a business environment when managed appropriately. This subject explains how demand amplification negatively affects the supply chain. It demonstrates how the four strategies (1) Relationship Management; (2) Information Flow; (3) Lead time compression; (4) Supply Chain integration and synchronisation mitigate the negative effects in an industry context. Note that in today's world it is not companies competing against each other but in fact a company's supply chain competing against another company's supply chain.

Today’s business world is awash in data and increasingly data is replacing hard assets as the fulcrum for decision making. Data analysis is required to be timely and providing forward-looking guidance that yields better, more-informed decisions. Relying on traditional methods of managing the supply chain is becoming increasingly difficult, with a mix of global operating systems, pricing pressures and ever-increasing customer expectations. This subject equips students with analytical tools and techniques to support forward-looking supply chain decision making. Data analytics is the science of examining raw data to help draw conclusions about information. Students will be able to verify and enhance existing operating models using quantitative techniques. The subject will cover decision analytics for supply chain problems such as planning and resource allocation, transportation, rostering and scheduling, trend analysis and forecasting, trade-off analysis, predictive modelling and systems optimisation.

Procurement is increasingly being recognised as a fundamental enabler of business strategy and a preferred method for achieving sustainable cost reduction. Controlling approximately 70-80% of all company expenditure, Procurement functions are in a critical position to influence commercial and financial success. This subject looks at the expanded responsibility of procurement and its integration with long-term strategic corporate planning. Topics include the procurement of goods and services, strategic sourcing, supplier relationship management, inventory management, total cost of ownership, negotiation planning, outsourcing and globalisation, supplier selection and evaluation, risk mitigation, and e-procurement. Emerging procurement issues such as supplier innovation, sustainable procurement and ethical supply chains are examined.

Logistics Systems is an advanced course in supply chain management. It involves design and management of logistics activities. It prepares students for a profession in logistics management ranging network planning, inventory control, facility location, routing and scheduling to name a few. The application of analytical techniques, simulations and computer software to selected aspects of logistics management is explored.

Business Analytics Stream

This subject introduces students to Statistical Learning and Business Data Analytics. Students are introduced to theoretical concepts of Statistical Learning and how to use these concepts in complex, big data Business Analytics. A specific business problem is used throughout the course to illustrate different aspects of statistical learning and business analytics. Understanding these business analytics outcomes is the main focus of this subject. The subject provides a solid basis from which Statistical Learning and Business Analytics techniques/tools can be applied to solve complex business problems. In addition, Visual Analytics software tools are introduced.

This subject is designed for students to further their training in Business Analytics. In-depth statistical learning and complex big data business analytics concepts are explored. Different big data business problems are chosen to demonstrate the in-depth concepts respectively. Techniques and tools are introduced and applied to help with the understanding of the in-depth concepts. Exploring different software tools under different circumstances to investigate different aspects of a big data business problem is emphasized in this subject. Interpretations and deriving conclusions of those business analytics outcomes are the main focus of this subject. Visual Analytics software tools are used together with data mining. In addition, predictive software tools are introduced.

This subject explores in-depth problems related to economic and market environments. Economic big data and market environment big data related to geographical region(s) or business sector(s) are employed to explore a range of business analytics problems. Data mining, business environment profiling and predictive forecasting are used extensively to study different aspects of business analytics outcomes. Derivations, conclusions, extrapolations and predictions of business analytics outcomes are therefore the main focus of the subject. Visual analytics, data mining and predictive/forecasting software tools are used in this subject.

This subject explores in-depth problems related to services and operations. Topics related to services include eHRM, social media, online business and financial services. Topics related to operations include automation, manufacturing, retails and logistics. Big business data are used to explore a range of business analytics scenarios related to services and operations. Data mining, especially text mining, products profiling, predictive forecasting and predictive analysis are the main focus. Visual analytics, data mining and predictive/forecasting software tools are used in this subject.

Innovation and Enterprise Stream

In this subject student will learn to evaluate innovation and entrepreneurship opportunities from a financial perspective, understand how to raise capital, assess risks and rewards relating to opportunities, and establish and appropriate financial basis for start-up companies.

This subject enables students to explore the potential exploitation of their own business idea. Students evaluate opportunities from a range of perspectives including; financial, technical and legal. They conduct market research on their opportunity, develop a plan for exploitation and have the opportunity to present their proposal to a panel of experts who provide feedback on the commercial feasibility of the chosen project.

In this subject student will explore skills for effective team leadership, how to create a culture conducive to innovation, embed innovation within the strategic direction of the organisation and develop a systematic approach to leading innovation.

For many companies over 40% of current sales revenue is generated by new products or services that have been introduced within the last three years. This subject is designed to provide students with a thorough understanding of the processes associated with the development and marketing of a new product in today's complex environment. The focus for this course is the role marketing plays in a systematic and multi-functional, approach to the process of ¿new product development¿ (NPD). A key aspect of this course is that students will be treated as members of top management, the ultimate decision makers and will be expected to show a thorough understanding of all the factors affecting new product strategy development, implementation, management and review. In particular, the increasing call for ethical and sustainable new products and services will be a focus of the course. The topics to be covered are: new product strategy, idea generation, opportunity identification, concept evaluation, concept testing, market testing and strategic launch planning.

Program Outcomes

The rise in extensive construction projects across the region showcases the demand for engineering management professionals. UOWD's Master of Engineering Management (MEM) students, possessing both technical and managerial expertise, find a multitude of opportunities across various engineering disciplines. Graduates are well-positioned for careers such as Plant Manager, Project Manager, Engineering Supervisor, and Process Engineer, aligning with the region's growing need for multidisciplinary engineering professionals.

Accreditation and Recognition

All degrees at the University of Wollongong in Dubai are accredited by the Commission for Academic Accreditation (CAA) of the UAE Ministry of Education and are licensed by the Knowledge and Human Development Authority (KHDA). In addition, the degree is quality assured by UOW, which is registered with the Tertiary Education Quality and Standards Agency (TEQSA), the national regulator of the higher education sector in Australia.

Students will be issued a UOW Australia degree upon graduation.

Professional Recognition

Energy Institute (EI)

UOWD is an affiliate of The Energy Institute. The Energy Institute (EI) is the leading professional membership body bringing global energy expertise together, from oil and gas to renewables. The EI connects you to a thriving global community and unlocks access to a broad range of benefits. Becoming a Student Member of the EI will grant you access to resources and opportunities that will not only support you in your studies, but also to further your career development.

Dr Haile-Selassie Rajamani

Head of School
School of Engineering

Dr Haile-Selassie Rajamani is Associate Professor at the Faculty of Engineering and Information Sciences and currently teaches Signals & Systems and Control Theory to undergraduate and postgraduate students. He has a special interest in Renewable Energy and Power Electronics.

Similar Career Paths

Open Day

Attend our next Open Day on Saturday, 24 May 2025.
Join our experts to learn more about our degrees and how you can enrol at UOWD in our
Autumn intake which starts on 22 September 2025.

Master of Engineering Management

Degree Summary

Program Outcomes

Program Structure

Faculty

Accreditation

Admission Requirements

Duration

Classes commence

Fees*

Enquire Now

Program Selection Guide

View Program Structure

Program Structure

Core Subjects

Engineering logisticsENGG939 | 6 cp

Engineering Project ManagementENGG951 | 6 cp

Modelling of Engineering Management SystemsENGG953 | 6 cp

Strategic Management for Engineers and TechnologistsENGG954 | 6 cp

Financial and Management for Engineered AssetsENGG956 | 6 cp

Capstone

DissertationENGG940 | 12 cp

Elective Subjects

Engineering Asset Management Stream

Sustainability for Engineers, Scientists and ProfessionalsENGG941 | 6 cp

Project Implementation and OutsourcingENGG957 | 6 cp

Maintenance Requirement AnalysisENGG960 | 6 cp

System Reliability EngineeringENGG961 | 6 cp

Digital Transformation Stream

Digital Transformation Strategy and Industry 4.0MDT 901 | 6 cp

Cloud Foundations and ArchitectureMDT 902 | 6 cp

Artificial Intelligence PractitionerMDT 903 | 6 cp

Data Science PractitionerMDT 905 | 6 cp

Business Process Management and AutomationMDT 916 | 6 cp

Supply Chain & Logistics Management Stream

Supply Chain ManagementOPS 908 | 6 cp

Supply Chain AnalyticsOPS 910 | 6 cp

Strategic Procurement ManagementOPS 911 | 6 cp

Logistics SystemsOPS 928 | 6 cp

Business Analytics Stream

Essential Elements of Business AnalyticsMBAS901 | 6 cp

Techniques and tools for business AnalyticsMBAS902 | 6 cp

Business Analytics for Economic and Market EnvironmentMBAS903 | 6 cp

Business Analytics for Services and OperationsMBAS904 | 6 cp

Innovation and Enterprise Stream

Financial Skills for EntrepreneursENTR901 | 6 cp

Business Innovation PlanENTR903 | 6 cp

Contemporary Leadership Skills for EntrepreneursENTR904 | 6 cp

Developing and Marketing New Products and ServicesMARK956 | 6 cp

Program Outcomes

Accreditation and Recognition

Professional Recognition

Energy Institute (EI)

Dr Haile-Selassie Rajamani

Faculty

Similar Career Paths

Open Day