All students are required to take a minimum of 8 postgraduate courses (24 credits in total), within a normal period of two years (Part-time mode) or one year (Full-time mode) of which 3 should be required courses and 5 elective courses. An exemption from a required course may be sought provided that the student has sufficient background and knowledge in the required course. The exempted course must be replaced with an approved elective course. Other M.Sc. courses from the Faculty of Engineering may be taken as electives with the approval of the Division Head. The degree of Master of Science will be conferred upon students who have completed the prescribed coursework with a cumulative grade-point average of 2.0 or above.
SEEM 5710 Principles of Operations Management
This course is designed to provide fundamental principles of managing engineering and industrial organizations. The focus is on the application of quantitative and qualitative approaches in the practice of engineering management. Quantitative modelling and solution techniques for strategic and operational problems are discussed. The role of strategic management, strategy formulation, and strategy implementation are covered. Other strategic issues involving innovation and ethics are also addressed.
SEEM 5730 Information Technology Management
The challenges, techniques and technologies associated with the management of information technology (IT) in a competitive environment. The linkage of IT to business strategy and business process re-engineering. Different types of information systems: MIS, DSS, TPS. Information technology concepts: networking, database, batch and distributed processing. Development Process. Information system planning. Systems project management and control. IT acquisition, budgeting and deployment. Performance evaluation and audit. Operations management, privacy and security.
SEEM 5820 Introduction to Financial Engineering
Models of risks. Utility functions, and mean-variance theory. Probability models and price dynamics of securities. Geometric Brownian motion, Ito’s lemma, Black-Scholes model. Capital asset pricing. Risk hedging. Optimization techniques. Applications to investment and portfolio management. The emphasis is on mathematical modelling, analysis, and computation.
Students must complete 5 elective courses but they must take at least 1 from each of the following three areas. SEEM5910 may be grouped under any of the areas.
SEEM5910 Project in SEEM
Under the supervision of the course instructor, students carry out a practical project in Systems Engineering & Engineering Management. Company visits and field studies may be required to help students understand different business operating environments and their implications for solution development.
Area I: Operations Management
SEEM 5740 Engineering Economics
Principles of engineering economy. Value and cost, cash flows. Economic analysis of alternatives, technological, social, and human factors. Models involving allocation and scheduling of resources. Analytical techniques for evaluating industrial projects. Relationship between economics of technical choice and industrial productivity. Basic financial accounting concepts, accounting cycle, financial statements.
SEEM 5790 Project and Technology Management
Project screening and selection. Multiple-criteria methods for evaluation. Project structuring scheduling and budgeting. Resource management. Life-cycle costing. Project control. Computer support for project management. Forecasting of technology. Strategic and operational consideration of technology.
SEEM 5800 Logistics Management
Logistics planning. Integrated logistics management concept. Customer service. Channels of distribution systems. Order processing and information systems. Logistics network design , location and layout planning. Distribution and delivery planning. Transportation systems. Storage and material handling systems. Warehousing. Global logistics. Third-Party Logistics.
SEEM 5880 Supply Chain Management
This course introduces the key models and concepts in supply chain management. Topics include: demand forecasting, aggregate planning, supply management, inventory management, matching supply with uncertain demand, information distortion and demand management, information technologies for supply chain co-ordination, e-business models, etc.
Area II: Information Systems
SEEM 5750 Expert Systems and Decision Support
Overview of management support systems. Data and model management in decision support systems. Group decision process. Group decision support systems and distributed group decision support systems. Executive information and support systems. Applications of artificial intelligence methodologies in decision support. Integration of decision support technologies. Design and development of management support systems. Organizational and societal impacts.
SEEM 5760 Client/Server Information Systems
Introduction to distributed computing. Client/Server theory and practice. Overview of major protocols and distributed system concepts. Management aspects: vision, priority and transition strategies, operational challenges.
SEEM 5770 Open Systems and Electronic Commerce
Introduction to open system standards and protocols. Transaction protocols. Electronic commerce applications using open system and artificial intelligence technologies. Application of intelligent agents for automated transaction processing. Integration of HTML and JAVA with information and communication systems.
Area III: Financial Engineering
SEEM 5830 Stochastic Investment Models
The focus of the course is on various stochastic models that support investment decisions. Overview of investment problems: cash flow analysis, introduction of asset classes, mean-variance theory,
expected utility theory, data-driven portfolio optimization, capital asset pricing model, arbitrage pricing theory, dynamic programming, market micro-structure.
SEEM 5840 Quantitative Risk Management (CEF No. 36Z117640)
Introduction of financial risk, standard deviation, tail risk, extreme value theory, correlation and copula, risk attribution and capital allocation, credit risk, liquidity risk, operational risk.
SEEM 5870 Computational Finance
The course emphasizes the implementation of numerical algorithms applied to financial problems. The numerical methods include: binomial trees, Monte Carlo simulation, finite difference methods, among others. These methods will be applied to basic options, exotic options, futures, term structure, fixed income securities, dynamic trading strategies, and financial risk management.