UPDIEOR offers a non-thesis option to the graduate program called Master of Engineering in Industrial Engineering. The master’s program offers specialization in the areas of Production Systems (PS), Operations Research (OR), Information Systems (IS) or Human Factors and Ergonomics (HFE).

The Master of Engineering degree is a non-thesis degree that is comprised of strong technical and business coursework, usually including internship or applied research experience. It is intended for students aiming for careers in product and process design and development, and innovation in industry.

The program has the objective to develop the student’s knowledge and training on technical and business courses and applied research which will be reinforced by the requirement of a special project. As a result, the student is prepared to lead teams in developing solutions, i.e., skills in managing complex projects, motivating people, and directing financial and operational matters. While the MEng in Industrial Engineering will not require the student to accomplish a thesis, the research capabilities of the student will be developed through the conduct of the Special Project that will be required in the program.

ADMISSION REQUIREMENTS

Applicants to the graduate program should possess a Bachelor’s degree in Engineering (any discipline), or in the physical and mathematical sciences. For more information, email: gradengg@upd.edu.ph

DURATION

Maximum of five (5) years.

PROGRAM REQUIREMENTS

The master’s degree requires a minimum of twenty-four (27) units of formal graduate courses, one (1) unit of graduate seminar and three (3) units of special project plus comprehensive exam for a total of thirty-one (31) units.

Those needing reinforcement of expected mathematical and analytical skills may be required to complete up to twelve (12) units of refresher courses to ensure success in higher level graduate courses.

 

PROGRAM OF STUDY

The Master of Engineering Program offers four areas of specialization with the following study programs (courses have a credit of 3 units each except the seminar with 1 unit):

Production Systems
  • IE 230 Statistical Design and Analysis for Engineers, 3u
  • IE 231 Analysis of Production Systems, 3u
  • IE 241 Operations Research I, 3u
  • IE 245 Advances in Production Systems, 3u
  • IE 251 Engineering Economic Analysis, 3u
  • IE 255 Facilities Systems Design, 3u
  • IE Electives, 6u
  • Electives, 3u
  • IE 296 Seminar, 1u
  • IE 299 Special Project, 3u
Operations Research
  • IE 230 Statistical Design and Analysis for Engineers, 3u
  • IE 231 Analysis of Production Systems, 3u
  • IE 241 Operations Research I, 3u
  • IE 242 Operations Research II, 3u
  • IE 251 Engineering Economic Analysis, 3u
  • IE 252 Advanced Operations Research, 3u
  • IE 281 Systems Simulation, 3u
  • IE Electives, 3u
  • Electives, 3u
  • IE 296 Seminar, 1u
  • IE 299 Special Project, 3u
Information Systems
  • IE 230 Statistical Design and Analysis for Engineers, 3u
  • IE 231 Analysis of Production Systems, 3u
  • IE 241 Operations Research I, 3u
  • IE 251 Engineering Economic Analysis, 3u
  • IE 253 Information Systems I, 3u
  • IE 254 Information Systems II, 3u
  • IE Electives, 6u
  • Electives, 3u
  • IE 296 Seminar, 1u
  • IE 299 Special Project, 3u
Human Factors and Ergonomics
  • IE 230 Statistical Design and Analysis for Engineers, 3u
  • IE 231 Analysis of Production Systems, 3u
  • IE 241 Operations Research I, 3u
  • IE 243 Advanced Methods and Standards, 3u
  • IE 251 Engineering Economic Analysis, 3u
  • IE 256 Human Factors Engineering, 3u
  • IE Electives, 6u
  • Electives, 3u
  • IE 296 Seminar, 1u
  • IE 299 Special Project, 3u

Graduate students are required to take all the courses. In addition, students are required to take an additional nine (9) units of electives, six (6) units of which should be graduate industrial engineering courses outside of their field of specialization.

  • Refresher Courses
    • IE 201 Industrial Management and Productivity, 3u
    • IE 202 Production Systems and Processes, 3u
    • IE 211 Quantitative Methods in Industrial Engineering, 3u
    • IE 214 Introductory Operations Research, 3u
  • Industrial Engineering Electives
    • IE 242 Operations Research II Advanced, 3u
    • IE 243 Advanced Methods and Standards, 3u
    • IE 245 Production Systems Information, 3u
    • IE 253 Information Systems I, 3u
    • IE 281 Systems Simulation, 3u
    • IE 298 Special Problems, 3u
  • Non-Industrial Engineering Electives
    • ME 211 Safety Engineering, 3u
    • EnE 201 Introduction to Environmental Engineering, 3u
    • EnE 280 Environmental Impact Assessment, 3u
    • EgyE 201 Energy Resources & Uses, 3u
    • EgyE 211 Energy Conservation, 3u
    • TM 201 Overview of Technology Management, 3u
    • TM 202 Technological Innovation, 3u
    • Econ 201 Macroeconomic Theory I, 3u
    • Econ 202 Microeconomic Theory II, 3u
    • IR 201 Introduction to Industrial Relations, 3u
    • IR 205 Wages and the Labor Market, 3u
    • IR 212 Job Evaluation & Wage/Salary Administration, 3u
    • IR 213 Organizational Behavior in Industrial Relations, 3u
    • Other electives at 200 level with Consent of Instructor as Prerequisite

COURSE DESCRIPTIONS

IE 201 Industrial Management and Productivity. Organization theory, managements principles, managerial functions, the industrial environment, functional areas of the industrial enterprise, human behavior and motivation; productivity concepts and techniques, methods engineering, systems and procedures. 3 u.

IE 202 Production Systems and Processes. Introduction to production systems and function, production processes and engineering materials. 3 u.

IE 211 Quantitative Methods in Industrial Engineering. Estimation and tests of hypothesis in industrial engineering problems, regression and correlation, statistical control charts, acceptance sampling plans, specifications and tolerances, reliability and life-testing. 3 u.

IE 214 Introductory Operations Research. Operations research methodology, basic linear programming, network analysis, dynamic programming, integer programming, and queueing theory. 3 u.

IE 230 Statistical Design and Analysis for Engineering. Sampling & sampling distributions, estimation & hypothesis testing, analysis of variance, factorial designs, randomized blocks, latin squares & related design, fractional replication & confounding, nested or hierarchical designs, regression analysis, response surface methodology, analysis of covariance. Prereq: IE 28/equiv. 3 u.

IE 231 Analysis of Production Systems. Mathematical & statistical decision models for the design, operation & control of production systems. Forecasting, inventory, capacity, aggregate planning, scheduling, maintenance & cost control models. Coreq: IE 241. 3 u.

IE 241 Operations Research I. Fundamental models in Operations Research: advanced topics in linear and integer programming, dynamic programming and game theory, elementary queueing models. Prereq: IE 214 or COI. 3 u.

IE 242 Operations Research II. Intermediate models in Operations Reserach: advanced queueing models, stochastic process including discrete and continuous Markov chains, Markov decision process, Poisson processes and renewal theory, non-linear programming. Prereq: IE 220. 3 u.

IE 243 Advanced Methods and Standards. Advanced work in motion & time study, wage analysis & payments systems, speed & effort rating & job evaluation. Prereq: COI. 3 u.

IE 245 Advances in Production Systems. Current and emerging trends in the analysis and design of production systems. Prereq: IE 231, 241, 3 u.

IE 251 Engineering Economic Analysis. Economic evaluation methods for industrial projects; deterministic and stochastic methods; deterministic investment analysis, application of algebraic, linear and non-linear programming models; comparison of multiple projects under singular or multiple constraints. Prereq: IE 241. 3 u.

IE 252 Advanced Operations Research. Advanced topics in non-linear programming and applications; Modeling of large-scale systems, interior point algorithms; project work on applications involving analytical operations research models. Prereq: IE 241, IE 242. 3 u.

IE 253 Information Systems I. Concepts & frameworks of information systems. Analysis & design of information systems. Systems analysis & design tools & techniques. Prereq: ES 26/equiv. 3 u.

IE 254 Information Systems II. Implementation considerations in computer-based information systems design. Database systems. Security & privacy issues in information systems. Information systems management. Prereq: IE 253. 3 u.

IE 255 Facilities Systems Design. Design of complex industrial systems involving physical facilities for the production of goods & services. Facilities planning & materials handling. Prereq: IE 245/COI. 3 u.

IE 256 Human Factors Engineering. Application of engineering, psychological and physiological principles to the analysis and design of human work systems. Prereq: IE 243/COI. 3 u.

IE 281 Systems Simulation. Simulation of complex discrete-event systems with application in manufacturing and service organizations; random number and variate generation, input distribution modeling, statistical analysis of simulation output and variance reduction techniques; project work using a high-level simulation language or a general high-level programming language; continuous simulation. Prereq: IE 230, ES 26 or equivalent. 3 u.

IE 296 Graduate Seminar. 1 u. Maximum of 3 u.

IE 298 Special Topics. Prereq: COI. 3 u; May be taken twice, topics to be indicated for record purposes.

IE 299 Special Project. Maximum of 3 u.