Master of Science in Industrial Engineering

UPDIEOR offers two graduate programs under this program: Diploma in Industrial Engineering and Master of Science in Industrial Engineering. The master’s program offers specialization in the areas of Production Systems (PS), Operations Research (OR), Analytics Systems Engineering (ASE) or Human Factors and Ergonomics (HFE).

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 (24) units of formal graduate courses, one (1) unit of graduate seminar and six (6) units of master’s thesis 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 Science Program offers four areas of specialization with the following study programs (courses have a credit of 3 units each except the thesis which has 6 units and 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 255 Facilities Systems Design, 3u
  • Electives, 9u
  • IE 296 Seminar, 1u
  • IE 300 Thesis, 6u

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 271 Information Systems Engineering, 3u
  • IE 272 Data Engineering, 3u
  • IE 273 Design of Analytics Systems, 3u
  • Electives, 6u
  • IE 296 Seminar, 1u
  • IE 300 Thesis, 6u

Analytics Systems Engineering

  • 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 252 Advanced Operations Research, 3u
  • IE 281 Systems Simulation, 3u
  • Electives, 6u
  • IE 296 Seminar, 1u
  • IE 300 Thesis, 6u

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 256 Human Factors Engineering, 3u
  • Electives, 6u
  • IE 296 Seminar, 1u
  • IE 300 Thesis, 6u

Graduate students are required to take all the courses. In addition, students are required to take an additional twelve (12) 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 251 Engineering Economic Analysis, 3u
    • IE 271 Information Systems Engineering, 3u
    • IE 272 Data Engineering, 3u
    • IE 273 Design of Analytics Systems, 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. Pre-req: 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. Co-req: 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. Pre-req: IE 214 or COI. 3 u.

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

IE 245 Advances in Production Systems. Current and emerging trends in the analysis and design of production systems. Pre-req: 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. Pre-req: 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. Pre-req: IE 241, IE 242. 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. Pre-req: IE 243/COI. 3 u.

IE 271 Information Systems Engineering. Concepts and frameworks for the analysis, design and implementation of information and analytics systems. Pre-req: COI. 3 u.

IE 272 Data Engineering. Design, implementation and management of information systems for the delivery of data with different variety, velocity and volume for analytics systems Pre-req: COI. 3 u.

IE 273 Design of Analytics Systems. Design and implementation considerations of an end-to-end data analytics system from source information system data extraction to decision making Pre-req: 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. Pre-req: IE 230, ES 26 or equivalent. 3 u.

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

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

IE 300 Thesis. Maximum of 6 u.