Master in Engineering Project Management

Bachelor’s with Good GPA, English score 6.5 IELTS or equivalent.

901701 – Scientific Research Methodology
This course introduces students to research fundamentals, including literature review, identifying research problems, research ethics, formulation of research questions and objectives, types of research, methodology design, data collection and analysis using statistical tools, data interpretation, and drawing conclusions.

901702 – Engineering Project Management and Sustainability
Covers sustainable practices in project management, including financial, social, and environmental considerations. Students learn to manage projects to ensure organizational resilience against resource shortages, environmental events, legal constraints, and social or political changes. The course explores the impact of sustainability on project costs and schedules, green design trends, circular economy principles, emissions scopes, and certification systems.

901703 – Advanced Engineering Economy
Focuses on financial decision-making in engineering projects, covering capital investment analysis, decision-making methods, cash flows, revenue requirements, replacement analysis, tax implications, depreciation, activity-based analysis, multi-attribute decision-making, probabilistic analysis, and sensitivity/risk evaluation.

901704 – Engineering Contract Management
Introduces different types of contracts, project delivery methods, contract terms, pricing arrangements, and bidding procedures. Covers national and international procurement regulations, general contract clauses, professional ethics, change order procedures, dispute resolution, schedule delay analysis, claim evaluation, and construction contract management.

901705 – Advanced Applied Statistics
Covers advanced statistical methods, hypothesis testing, multiple correlation and regression, T and F distributions, ANOVA, planned and post-hoc comparisons, analysis of covariance, nonparametric techniques, and practical application using SPSS.

901706 – Risk Management in Engineering Projects
Introduces principles, processes, and techniques of project risk management. Topics include risk planning, identification, qualitative and quantitative analysis, risk quantification tools, response planning, monitoring, legal considerations, practical case studies, and use of risk management software.

901707 – Quality Management in Engineering Projects
Explores principles, tools, and techniques of quality management in engineering projects. Students learn to integrate quality planning, assurance, and control into project processes, emphasizing Lean methodologies, statistical process control, risk management, and leadership’s role in fostering project quality.

901708 – Advanced Technologies in Engineering Projects
Focuses on modern engineering technologies, including Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), drones, 3D printing, and Building Information Modeling (BIM). Students gain hands-on experience with BIM applications in construction projects.

901709 – Cost Engineering
Covers comprehensive cost management in engineering projects, including cost estimation, planning, control, life cycle costing, Total Cost Management (TCM) best practices, cash flow management, and software applications.

901710 – Planning and Control for Engineering Projects
Focuses on project planning, scheduling, and control. Students learn Critical Path Method (CPM), Program Evaluation and Review Technique (PERT), earned value management, progress measurement, cost-time trade-offs, cash flow management, and hands-on experience with Primavera software.

901711 – Construction Methods and Technology
Covers methods and technologies required for construction projects, including earthworks, drilling, piling, concrete work, formwork systems, and construction equipment selection, production estimation, and equipment economics.

901712 – Special Topics in Engineering Project Management
Provides exposure to advanced topics in engineering project management, reflecting the latest developments as approved by the department.

901713 – Management of Information Systems in Engineering Projects
Introduces modern information systems and databases used in projects, their types, development phases, design, implementation, and application. Covers data mining, processing, and decision-making principles.

901714 – Operations Research
Covers Linear and Nonlinear Programming, Integer and Goal Programming, Dynamic Programming, Transportation and Assignment Problems, Queuing Theory, Decision Theory, and the application of operations research in project management and production scheduling.

901715 – Production Control and Planning
Focuses on strategic production planning and control in manufacturing and service industries. Topics include supply chain management, forecasting, inventory control, aggregate planning, master production scheduling, and materials requirement planning. Students gain skills to analyze and improve production systems.

901716 – Sustainable Energy Management
Provides knowledge and skills to design, implement, and manage sustainable energy solutions. Topics include energy systems fundamentals, energy conservation, renewable technologies, environmental impact, energy policies, economic sustainability, energy storage and distribution, and emerging technologies.

901717 – Transportation and Traffic Management
Covers traffic and transportation principles, including flow theory, transportation planning, traffic control devices, system design and operation, sustainable transportation, and intelligent transportation systems (ITS). Includes practical exercises and case studies.

901718 – Management of Environmental Systems and Water Resources
Examines the management of water quantity and quality, hydrology, regulatory frameworks, water supply-demand trends, modeling methods, and flood/drought management, considering climate change and extreme events.

901719 – Decision Making Under Uncertainty
Explores advanced methods for decision-making in uncertain and risky environments, covering probability theory, stochastic modeling, Bayesian inference, decision analysis, and risk assessment.