About MEP-IE


A fully online general practice-oriented graduate program, the Master of Engineering in Industrial Engineering (MEP-IE) is designed to train individuals to become both managerial and technical leaders. Its courses focus on strengthening comprehension in the areas of operations research, human factors and ergonomics, and production technology, as well as on further developing analysis, strategy, and decision-making.

This program will include recorded lectures and examinations. Candidates for the degree of MEP-IE shall be required to undergo practicum in industry or relevant training in an equivalent agency to enable the graduates of the program to be acquainted with current practices in industry or research. The MEP-IE is appropriate for undergraduates with a degree in business, technology, engineering, or industrial education.


Curriculum


Overview



2

Foundation Courses

(For non-engineering and non-management bachelor’s degree holders)

3

Major Courses

Includes topics about environment designs, production technologies, and quality management

3

Core Courses

Cover topics on operations research, modelling systems, and application of systems analysis and design in research

4

Elective Courses

Covers topics in logistics and distribution, strategic planning and management, and information systems

2

Practicum Courses

=

MEP-IE Degree

Year 1

Operations Research
foundation


About the Course

This is an introductory course to the field of operations research and planning. Topics include model building, the varied aspects of linear programming, duality and sensitivity analysis, goal programming and assignment method, PERT, CPM, and other network scheduling techniques.

Credit Units: None

Modules

1 Formulation of LP Problems: Advertising Media Problem, Inspection Problem, Production Planning, Trim Loss, Transportation, Scheduling, and other LP Problems
2 Graphical Solution, Simplex, Sensitivity Analysis and Duality
3 Decision Analysis
4 Markov Analysis
5 Game Theory
Analysis and Design of Workplace Environments
major


About the Course

This course discusses measurement of environment parameters including noise, heat and light and their effects on human productivity, and design of engineering controls.

Credit Units: 3.0

Modules

1 Overview on the Analysis and Design of Workplace Environments
2 Illumination
3 Noise
4 Temperature
5 Vibration
Supply Chain Management
elective


About the Course

This course focuses on both quantitative and qualitative issues that arise in the integrated design and management of an entire logistics network and distribution systems. Models and solution techniques for facility location and logistics network design will be considered. In addition, qualitative issues in distribution network structuring, centralized vs. decentralized partnerships, and product design for logistics will be considered through discussions and cases.

Credit Units: 3.0

Modules

1 Building a Strategic Framework to Analyze Supply Chain
2 Supply Chain Mapping
3 Designing the Supply Chain Network
4 Planning Demand and Supply in a Supply Chain
5 Planning and Managing Inventories in a Supply Chain
6 Designing and Planning Transportation Networks
7 Managing Cross-Functional Drivers in a Supply Chain
8 Revisiting and Quantifying the Supply Chain Map
Systems Engineering Analysis and Design
foundation


About the Course

The course is an introduction to systems engineering and their application across the system life cycle. This covers concept exploration, requirements analysis and development, analysis of alternatives, preliminary design, integration, verification, and system validation.

Credit Units: None

Modules

1 Systems Theory
2 Systems Life-Cycle Engineering
3 Conceptual Systems Design
4 Preliminary Systems Design
5 Detailed Design and Development
6 Systems Test, Evaluation, and Development
7 Systems Analysis and Design Evaluation
8 Systems Engineering and Management
Advanced Production Technologies
major


Session: (Schedule)
Commitment: (Number of hours in a week)
Subtitles: (Language)

About the Course

The objective of the course is to introduce technology trends and development and their applications in advancing production methodologies and addressing strategic and operational issues in the effective and efficient delivery of products and services.

Credit Units: 3.0

Modules

1 Introduction to Technology and Technology Management
2 Overview of Production Technology
3 Trends in Production Technology
4 Trends in Production Technology (Manufacturing Technology)
5 Trends in Production Technology (Special Manufacturing Processes)
6 Synthesis
Advanced Optimization Techniques 1
core


About the Course

This course focuses on the concepts and application of operations research. It also tackles deterministic techniques in solving optimization models as a support for decision-making in the financial, operations, marketing, and other strategic areas of management.

Credit Units: 3.0

Modules

1 Introduction to the Advanced Optimization Techniques
2 Review of Mathematical Models
3 Sensitivity Analysis Demonstration of LP Software
4 Goal Programming Using Excel Software
5 PERT/CPM with Crashing (using Microsoft Project)
Advanced Optimization Techniques 2
core


About the Course

In this course, techniques for modeling systems in which uncertainty is an essential factor. It emphasizes why, how, and when techniques can be or cannot be applied. Case studies and/or examples from such areas as logistics, production, and service industries will be discussed.

Credit Units: 3.0

Modules

1 Principles of Stimulation
2 Techniques for Generating Random Numbers
3 Random Variate Generation
4 Sample Applications
5 Statistical Tests for Randomness
6 Input Modeling
7 Steps in Using ProModel
8 Performance Measures for Manufacturing Systems
9 Bottleneck Analysis
10 Verification and Validation of Simulation Models
11 Output Analysis
12 Variance Reduction Techniques
13 Comparison and Evaluation of Alternative System Designs
14 Simulation Project
Value Analysis/Value Engineering
elective


About the Course

This course focuses on analysis of the processes used in manufacturing a product or producing a service to achieve the required product function at the lowest overall cost; basic philosophy, methodology and procedures which draw together and utilize techniques from various fields.

Credit Units: 3.0

Quality Systems Management
major


About the Course

The objectives of this course are to introduce the main principles of business and social excellence and to generate knowledge and skills of students to use models and quality management methodology and system of tools for the implementation of total quality management in any type of business and service enterprises.

Credit Units: 3.0

Modules

1 Introduction to Quality Management
2 QMS Principle #1: Customer Focus
3 QMS Principle #2: Leadership
4 QMS Principle #3: Involvement of People
5 QMS Principle #4: Process Approach
6 QMS Principle #5: Systems Approach to Management
7 QMS Principle #6: Continual Improvement
8 QMS Principle #7: Factual Approach to Decision-Making
9 QMS Principle #8: Mutually Beneficial Supplier Relationship
10 Synthesis
Strategic Planning and Management
elective


About the Course

The objectives of this course are to develop in students a holistic perspective of the organization and the industry to which it belongs and to enable the students to analyze the broad and task environment facing the organization, to assess strategic options available to the organization, and to implement the strategic choices made by it.

Credit Units: 3.0

Modules

1 Strategic Management Process
2 External Environment Analysis
3 Internal Environment Analysis
4 Strategy Formulation
5 Strategy Implementation
6 Strategy Evaluation and Control

Year 2

Research Methods with Applied Statistical Analysis and Design
core


About the Course

This course focuses on how to enable students to use statistical design and analysis for research and experiment, interpret statistical results, and derive conclusions therefrom. Typical areas of study include sampling design, hypotheses testing, testing for goodness of fit, ANOVA, factorial designs, randomized blocks, multivariate data analyses, and non-parametric statistics.

Credit Units: 3.0

Modules

1 Fundamentals and Components of a Research Paper
2 Planning a Research
3 Research Methodology
4 Introduction/Review of Statistical Concepts, Sampling Plans and Design, Hypotheses Testing
5 Introduction to Design of Experiments
Information Systems Analysis and Design
elective


Session: (Schedule)
Commitment: (Number of hours in a week)
Subtitles: (Language)

About the Course

This course discusses strategies in the analysis and design of information systems with a focus on attaining business goals.

Credit Units: 3.0

Modules

1 Introduction to Information System
2 Information System Strategies
3 Investigating System Requirements
4 Modeling System Requirements
Practicum 1
practicum


About the Course

The course is an introduction to systems engineering and their application across the system life cycle. This covers concept exploration, requirements analysis and development, analysis of alternatives, preliminary design, integration, verification, and system validation.

Credit Units: 3.0
Prerequisite: At least 21 credit units

Modules

1 Policies and Guidelines in Preparing a Capstone Project
2 Writing the Capstone Project Proposal: Project Format
3 Writing the Capstone Project Proposal: Introduction
4 Writing the Capstone Project Proposal: Review of Related Literature
5 Writing the Capstone Project Proposal: Methodologies
Practicum 2
practicum


About the Course

Master of Engineering practicum final.

Credit Units: 3.0

Modules

1 Contents of the Final Capstone Study
2 Writing the Capstone Final Project: Data Presentation, Results, and Discussion
3 Writing the Capstone Final Project: Conclusion and References

Pricing


Topnotch degree at competitive rate

Get access to globally competitive education through Mapúa University’s topnotch programs. Mapúa’s MEP-IE is designed for bachelor’s degree holders in engineering, technology, and business. The full program price is P338,940* (US $6,779**) covering tuition, course materials, and other fees. Course offerings are priced individually at P28,245 (US $565**).

*Program price inclusive of bridging courses (for non-Industrial Engineering graduates) is P395,430 (US $7,909).
**Based on foreign exchange rate of US $1 = Php 50

Admissions


A degree in business, engineering, industrial education, or technology is a requirement for admission to the program. Applicants must accomplish the application form and submit scanned copies of their transcript of records, two recommendation letters, and an English language proficiency certification (TOEIC, TOEFL, IELTS, or equivalent) here.

Original copies of the requirements must be mailed to the registrar at:

Office of the University Registrar
Mapúa University
658 Muralla Street
Intramuros, Manila
Philippines 1002

Graduates from abroad must submit the original copies of requirements authenticated by the Philippine Consulate General (with red ribbon and seal).


FAQs

What background knowledge is necessary for MEP-IE?

The MEP-IE is designed for undergraduates with a degree in business, technology, engineering, or industrial education. Applicants whose undergraduate degree is neither industrial engineering or engineering management must take the bridging or foundation courses.

How do I apply for the program?

Applicants need only to fill out the online application form and to submit scanned copies of their transcript of records, two recommendation letters, and an English language proficiency certification (TOEFL, TOEIC, IELTS or equivalent) here.

Original copies of the requirements must be sent to the registrar at:

Office of the University Registrar
Mapúa University
658 Muralla Street
Intramuros, Manila
Philippines 1002

Graduates from abroad must submit the original copies of requirements authenticated by the Philippine Consulate General (with red ribbon and seal).

How many course units are required to complete the program?

A student should earn 36 course units to complete the MEP-IE program and earn the degree.

How quickly can I complete the MEP-IE program?

As Mapúa University’s Academic Year follows a quarter system, a student can complete the MEP-IE program in less than 2 years or seven quarters.

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