جامعة النجاح الوطنية
An-Najah National University
Engineering Management
Duration: 24 Months (2 Years)
Degree Awarded: MSc
Student must complete 36 credit hours

Speciality Requirements Student must complete 24 credit hours

Course Code Course Name Credit Hours Prerequests
3
This course is designed to provide students with advanced topics in engineering economy and finance including comparison of investment alternatives, techniques of financial analysis and planning, inflation/taxation, liability management, capital budgeting, and large-scale feasibility studies of private and public sectors.
3
This course introduces students to advanced topics in quality control, assurance and quality management, including introduction to statistical quality control, quality function deployment, process engineering, assessment of quality programs, quality infrastructure and international standards.
3
This course focuses on planning technological changes in diversified corporations, understanding inventions, implementing new technology in new product/services/manufacturing, forecasting impact of technological change, and forecasting technological change and planning research.
3
This course is designed to provide students with a review of basic human resource management functions, examination of human resource policies, exposition to human resource laws, human resource techniques including job analysis and design, recruiting, training, appraisal, retention planning, human resource compensation and human resource information systems.
3
This course is designed to provide students with an introduction to decision making, multiple attributes decision making techniques, modelling with uncertainty and risk influence diagrams, game theory methods, linear programming and assessment of decision making process.
3
This graduate-level course prepares students for scientific research and thesis writing. It covers the entire research lifecycle, including problem formulation, literature review, research design, data collection and analysis, and result interpretation. Students will learn to develop research questions, objectives, and hypotheses while considering ethical and legal constraints. The course emphasizes literature search, citation, and summary skills. It teaches both qualitative and quantitative research methods, including sampling, data collection, and statistical analysis techniques like PLS-SEM. Students will enhance their critical thinking and technical writing skills for articles and theses, learning to interpret results, draw conclusions, and make recommendations
3
This course focuses on the classification of engineering projects, project organisation, project budgeting, project scheduling techniques, resources allocation, materials distribution and logistics, project information system, construction projects, cost control, project termination and auditing, claims management, arbitration, project information system.
3
This course focuses on assessment of potential risks associated with crisis, organisational preparedness, information disaster recovery planning, types of conflicts, legal framework and international laws, conflict resolution models, mediation and arbitration and strategies for avoiding conflicts.
0
A graduate student must pass a qualifying examination (See Academic Rules and Regulations for Graduate Students).

Speciality Optional Requirements Student must complete 12 credit hours

Course Code Course Name Credit Hours Prerequests
3
This course is an overview of methods of data collection and analysis in various fields of engineering, exposition of experimental design concepts and statistical modelling of data, role of experimental design in engineering and industries, ANOVA analysis, regression analysis, factorial design, and response surface methodology.
3
This course is an introduction to supply chain, production, distribution, inventory, e-commerce, demand forecast, planning and scheduling, market research/product design and the use of automated IT systems for supply change activities.
3
This course is designed to provide students with an introduction to simulation systems, system modelling, animation tools and statistical analysis, building simulated system, use of graphical user interface for system modelling, various design options for manufacturing systems, facility layout and selection of optimum design.
3
This course focuses on the necessary conditions for successful company research, research management in relation to corporate governance, human capital knowledge and know how, managing intellectual capital, patent portfolios as strategic planning tool, university industry partnerships and joint research.
3
This course is about organisational analysis and design, organisational culture, communication systems, managing external organisations constraints/opportunities, impact of technology on organisation behaviour, change management, regulatoryframework and organisational sustainability.
3
The Product Design course equips students with the interdisciplinary skills needed for successful product development in today's competitive market. Through hands-on projects and case studies, students learn to integrate marketing, design, and manufacturing functions while mastering cutting-edge tools and methodologies. This course develops critical thinking, project management, and innovation skills, preparing students to navigate the entire product development lifecycle from ideation to commercialization.
3
This course provides students with an exposure to leadership models, progress planning, motivation models, organisational culture, leaders and manager, attitude management, human factors in organisational design, and leadership tools.
3
This course covers the managerial side of the production process, topics include: Analysis of production systems and their performance measures; batch production, manual assembly production, material transport and storage in production systems, motion study, design and measurement of work in production systems, facility planning, and lean production
3
This course consists of an environmental review of the dangers of processing plants, the classification of risks in material transfer, processing and storage, an analysis of risk effects, the use of new technologies to reduce risk impacts, the risks of geographical or meteorological conditions and national and environmental standards.
3
This course is designed to acquaint students with organisational aspects of procurement, purchasing planning, suppliers? management, materials specifications, materials/information inspection and testing methods, legal aspects of purchasing, contracting, arbitration, financial implications, liability management and the use of software systems in procurement system.
3
This course covers advanced topics in Operations Research, such as: Integer programming (IP), including modeling and enumerative algorithms for solving IP problems; post-optimality analysis. Network flows, dynamic programming, and nonlinear programming. Applications in the design and operation of industrial systems/ supply chain design problems

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