MEP IE Curriculum

Program Background

The Master of Engineering in Industrial Engineering program offers advanced, practice-oriented education designed to equip students with the skills to solve real-world problems in industry and other sectors. The program emphasizes the practical application of industrial engineering principles through structured coursework and a capstone project that addresses actual challenges faced by organizations. Students gain expertise in areas such as systems design, process improvement, operations management, and productivity enhancement, while developing multidisciplinary, commercial, and risk management skills. Ideal for professionals with or without a BSIE background, the program provides a strong foundation for effective practice in diverse industrial settings and prepares graduates to lead improvements in safety, efficiency, and sustainability.

Master of Engineering in Industrial Engineering (MEP-IE)

Course Requirements
Term 1 2 3 4 5
Required Basic Course: Methods of Research 3 units 3
Advanced Mathematics Courses 6 units 3 3
Specialization Courses 15 units 6 6 3
Elective Courses 6 units 3 3
Comprehensive Exam 0 0
Capstone/Practicum 6 units 3 3
Orientation for Non-DLSU graduates (1 unit) (1)
Total 36(1)units 9(1) 12 9 3 3

Practicum: IEN8310, IEN8320, IEN8330
Form: EN-31

Orientation Course

Course Code Course Title Brief Description
COE5000 Engineering Orientation The course includes topics on the DLSU history, mission statement, organizational structure, key officers/offices; the Brothers of the Christian Schools, the life and writings of St. John Baptist de la Salle; Lasallian core values and professional ethics.

Required Basic Courses

Course Code Course Title Brief Description
COE5200 Methods of Research A study of the fundamentals of research designs, analysis and interpretations of data, project feasibility studies, and qualitative research techniques.

Advanced Mathematics Courses

Course Code Course Title Brief Description
COE5320 Numerical Methods with Computer Programming and Application Matrix computations, roots of linear and non-linear system, interpolation, numerical integration and differentiation, predictor connector, and Runge Kutta Methods, finite difference methods and introduction to finite element methods.
COE5100 Statistical Analysis and Design Basic Research Methods; analysis of variance and covariance; Experimental Design; Advanced Regression Analysis; Non-Parametric Test

Specialization Courses

Course Code Course Title Brief Description
IEN520M Optimization Techniques 1 This course deals with the fundamental concepts of Linear Programming and Integer Linear Programming. These concepts include linear model formulation and solution, duality theory sensitivity analysis, integer linear model formulation and solution and networking.
IEN521M Optimization Techniques II The course deals with the fundamental concepts of Non-Linear Programming and Stochastic Processes. These concepts include Dynamic Programming, Decision Theory, Game Theory, Markov Theory, Queuing Theory, Simulation, and Stochastic Inventory Models.
This course deals with the fundamental concepts of Non-Linear Programming and Stochastic Processes. These concepts include Dynamic Programming, Decision Theory, Game Theory, Markov Theory, Queueing, Theory, Simulation, and Stochastic Inventory Models.
IEN522M Production and Operations Management Techniques I The course deals with concepts, quantitative tools and the decision making processing the following areas: materials, management (purchasing and warehousing), quality assurance, maintenance, and environment, safety and health. Practical strategies employed by companies to create awareness and continuously improve on these areas will be discussed.
IEN523M Production and Operations Management Techniques II Methods standards and work design is a core Industrial Engineering discipline. This course emphasizes the importance of ergonomics and work design as parts of methods engineering.
IEN524M Systems Engineering Analysis and Design The course introduces the students to the concepts, tools, techniques, and activities of systems analysis and design. It discusses different techniques that can be used for each stage of systems analysis and design.

Elective Courses

Course Code Course Title Brief Description
IEN530M Service System Management The course introduces the students to the activities involved in the design and management of service systems. The impact and importance of services on a nation’s economy is emphasized. Concepts and tools in measuring and achieving service quality are discussed. Moreover, similarities and differences between traditional manufacturing management and service management techniques are tackled.
IEN531M Inbound / Outbound Logistics The course introduces the students to the activities involved in inbound and outbound logistics. The difference between supply chain management is emphasized and the functional areas of logistics such as order processing, outsourcing, customer service, inventory management, warehouse decision, material handling, packaging, transport management and strategic logistics plan are discussed.
IEN533M Information Systems Design and Management The course covers current and emerging concepts, tools and techniques in the analysis, design and implementation of information systems.
IEN655M Target-Oriented Robust Optimization This course introduces students to target-oriented robust optimization (TORO). Even a small degree of uncertainty can make the usual optimal solution completely meaningless. The reality of which creates the need to identify solutions that would be robust to the presence of uncertainty. TORO preserves computational tractability and also allows for ambiguity in uncertainty information. Moreover, the course also seeks to show how traditional modeling paradigms can benefit from the use of a target-oriented optimization approach for applications in decision problems.
IEN534M Six-Sigma Quality Systems This course deals with the origins and concepts, the techniques and quantitative tools, and the decision-making process in the design and implementation of Six-Sigma Quality Systems. The major topics covered in this course include the Six-Sigma Methodology, Setting-Up a Six-Sigma Program, Data Collection, Analysis and Measurement System Evaluation, Recording and Plotting Data, Process Capability Analysis, Statistical Design for Experiments, Innovative solution Techniques and Solution Implementation Guidelines.
IEN656M Design Thinking The course introduces the student to the design thinking framework which is a human centered approach to design. The framework can be applied in developing new product or service ideas. Since there are numerous customer needs that can be fulfilled by creating innovative designs the student projects in this course will be diverse. Multidisciplinary teams will be formed to encourage sharing of different ideas.
Design thinking allows understanding of customer needs through research. The outcome of the needs analysis is used to develop ideas that can be translated into technologically feasible prototypes.
IEN532M Lean Manufacturing This course covers how the Lean Manufacturing philosophy and techniques can be applied to an organization to maximize customer value, minimize waste and reduce costs. By adopting a Lean Manufacturing approach, a company will become faster and more responsive to customer requirements while using fewer resources.
IEN611M System Dynamics The course takes a dynamic perspective of systems, specifically System Dynamics, which was earlier known as Industrial Dynamics. This course covers history and applications of System Dynamics; system Concept, components and approach; causality; stocks and flows; simulation; model testing and analysis; principles of Leverage; and policy design and mind set implications.
IEN573M Total Quality Environmental Management Systems Conventional Production and Operations Management (POM) dealt with the important parameters of quality and productivity through Total Quality Management (TQM). As Quality Management System (QMS) in the ISO9000 series evolved to Environmental Management System (EMS) in the ISO14000 series since late 1990s, the paradigm also shifted quickly from economic bottom line single optimization problem to triple bottom line of economic, environmental, and social concerns of multi-criteria decision problem. TQEM, this new toolbox operationalized strategy to product, process, and services from the holistic dimensions.
IEN513M Data Analytics for IE This course covers the introduction to data science and the data science process with application to the Industrial Engineering field. The course will be a combination of lectures and hands-on application of concepts through the use of the most used software in the data science field. This course aims to incorporate the students’ knowledge on statistics, process management and computer science in general.
IEN571M Strategic Thinking and Planning The course introduces the concepts, quantitative techniques and decision-making processes involved in the planning, formulation, implementation and control of strategies in business, service or manufacturing systems. The course centers on strategic thinking, planning methodologies, options generation/scenario identification, implementation and control. It incorporates the new ideas and knowledge created by recent authors, researchers and practitioners, globally and in the Philippine setting, such as Balanced Scorecard, value chain analysis and supply chain management, corporate social responsibility, and agency theory to name a few.
IEN511M Risk Management This course covers the generalized concept of risk. It involves common mathematical models as well as heuristics that analyze risk. This involves risk identification, qualitative and quantitative analysis and fault tree analysis among others. It also deals with the risk management process and risk prioritization.