Page 280 - Postgraduate Catalog 2026-27

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COLLEGE OF ENGINEERING role of advances in technologies and bringing together the resources organizational functions in the
electronic commerce in coordinating
analysis and solution of management
and capabilities needed to make
the supply chain of a product from it happen. Topics covered include problems. This course explains
the point of origin to the point of disruptive technologies, strategic the whole process of strategy
Master of driven decision-making, hypothesis and stochastic modeling. The course consumption management of technology, new formulation, implementation,
evaluation, control, and strategic
product development, technological,
testing, regression analysis, and
includes case studies related to
MEM 507 - Systems Engineering
change management, corporate
issues. The course is mainly case
Engineering machine learning techniques. The the topic and a term project. It also Credit Hour: 3 entrepreneurship and innovation, and discussion-oriented. Real
applies the concepts and principles
course also explores Bayesian
case studies will be presented and
diffusion of innovation, and chain of
statistics and probabilistic modeling
associated with systems modeling
Management for engineering management. and simulation using contemporary Prerequisites: No Prerequisite innovation activities. active participation in discussions is
expected. A project related to one
This course provides a
simulation software ARENA.
MEM 504 - Quality Engineering comprehensive introduction to MEM 508 - Engineering Risk of the course topics will be assigned
Analysis & Management
& Management MEM 509 - Digital systems engineering principles to each group of students and
Transformation and AI
presented at the end of the course.
and practices, focusing on the
Core Courses Credit Hour: 3 Applications design, analysis, and management Credit Hour: 3
Prerequisite: MEM 503 Credit Hour: 3 of complex systems across their Prerequisite: MEM 503 ACC 522 - Advanced Managerial
Accounting
MEM 501 - Project Management life cycles. Students will explore This course introduces risk
This course covers basic and Prerequisite: No Prerequisite system thinking, requirements
Credit Hour: 3 advanced quality concepts and This course provides an in- depth engineering, functional analysis, identification, risk analysis, risk Credit Hour: 3
assessment, strategies to manage
Prerequisite: No Prerequisite methods including statistical understanding of the challenges, system architecture, modeling and risk, and applications of risk Prerequisite: ACC 482 -PC
approaches that are used in Quality simulation, verification and validation,
This course covers the elements of Engineering such as SPC, Process opportunities, and strategic and risk management. Emphasis management. Students learn how This course focuses on the use of
project management critical to the Capability, and Experimental Design. implications of is placed on interdisciplinary to determine the quantitative and/ accounting information as a tool in
success of engineering projects: It also covers process and product technology adoption in Industry approaches and the integration or qualitative value of risk related to the planning and control of business
organizations from a management
engineering systems and projects.
project management quality tools; quality assurance of technical and managerial
methods and standards such as 5.0. The course emphasizes an perspectives to solve real-world It also presents the basic concepts, perspective. The orientation of the
framework, waterfall and agile project QFD, ISO9000 and Six-Sigma, quality organizational and managerial methods and tools to perform course is to analyze and evaluate
management, project selection and planning and control, quality awards, approach to Information Systems engineering problems. Case risk analysis in various project management accounting information
initiation, project organization, scope and continuous improvement. The and Technology, covering mature and studies and project-based learning management applications, and from the perspective of senior
management, time management, project and assignments are key emerging new technologies such as are used to illustrate applications engineering and technology-based management using case study. In
cost management, resource components of this course. These Big Data analytics (Python), Artificial in sectors such as aerospace, industries. The focus is on using tools light of the course description, the
management, risk management, include quality systems design and Intelligence, Blockchain, Generative defense, transportation, energy, and and methods of Risk Matrix, Decision primary objective of the course is to
tradeoffs, and project closing. The management, application of effective AI (Prompt Engineering), AR/VR, and healthcare. Trees, Life Cycle Cost Analysis provide the necessary framework
course also integrates and clarifies design for quality management Internet of Things and their impact (LCCA), FMEA, Fault Tree, Utility to understand and be able to apply
the practices and software tools used standards, quality tools and on a firm’s business model and value Track 1- Master Theory, as well as an introduction to and use management accounting
in project management through a techniques in real world organization, chain. Bayesian statistical theory. Other risk information. Consistent with this
team project and case studies from a and ethical issues related to sampling in Engineering management tools include SWOT orientation, the list of topics covered
variety of disciplines. and quality audit and assurance. MEM 511 - Operations & Supply Management (Electives) analysis and Participatory Analysis in this course includes an overview of
MEM 503 - Advanced MEM 506 - Operations Research Chain Management MGT 523 - Strategic managerial accounting; the role and
function of accounting information
Engineering Data Analysis & Simulation Credit Hour: 3 MEM 510 - Innovation and Management in corporate governance; accounting
Credit Hour: 3 Credit Hour: 3 Prerequisites: MEM 506 Entrepreneurship Credit Hour: 3 information as a managerial tool, cost
concepts and behaviors, an overview
Prerequisite: STT 100 or equivalent Prerequisite: No Prerequisite This course covers the major Credit Hour: 3 Prerequisite: Last Semester of cost systems; incremental costing.
This course provides students with This course covers computer issues in operations and supply Prerequisite: No Prerequisite This course covers the determination and its application for short and long-
chain management including their
a strong foundation in modern simulation concepts and operations individual components and their This course focuses on coverage of the strategic direction of the term decision making; capital and
data analysis techniques relevant research modeling techniques, interrelationships. It focuses on of the topics of managing firm and management of strategic operational budgeting; issues related
to engineering management and including problem formulation and Capacity Planning, technological innovations and processes in the firm. The course to effective management control, and
decision-making. It covers advanced discrete event simulation modeling. creating successful organizations. draws on and integrates concepts financial statements analysis from a
statistical methods, data visualization, Procurement, Forecasting Demand, It aims at providing rich exposure from the functional areas (i.e. managerial accounting perspective
and predictive modeling, It include the formulation of Production Planning, Inventory to the students on management finance, accounting, management,
emphasizing real-world applications mathematical models, solutions using Controls, Lean Philosophy and of innovation in manufacturing management information systems)
in operations, project management, linear programming, sensitivity and techniques, and Transportation and and information technologies. It in the analysis and resolution of
and industrial decision-making cost analysis of developing alternative Distribution in different types of also explains how to become an complex business situations. It
Students will gain proficiency in optimum solutions, transportation organizations. It also covers the entrepreneurial leader by defining also discusses the integration
python as a tool to conduct data- and network analysis, forecasting, and developing opportunities and of environmental factors and
Abu Dhabi University | Postgraduate Catalog 2026 - 2027 Abu Dhabi University | Postgraduate Catalog 2026 - 2027