What do “Engineering Managers” do?

1. Model and solve engineering problems related to the management of projects and operations.
2. Plan, organize, lead and control engineering projects and operations.

Why study Engineering Management?

The Engineering Management is a multidisciplinary scientific discipline, which combines engineering knowledge of modeling and solving engineering problems with project management skills, mainly planning, organizing, leading and controlling, in addition to operations management knowledge.

It is observed that the Lebanese, Middle East, Gulf, European and American markets have shown a growth in engineering management. Hence, an increasing demand for professionals with joint engineering and management skills is highly needed.

This program is available through a flexible study mode.
For more information contact: ask.engineering@balamand.edu.lb

Why Engineering Management at UOB?

The MSEM program at UOB is amongst the first licensed programs of its kind in Lebanon. It has been operational since 2011, and has graduated more than 250 students to date. It has been designed to bridge the knowledge gap between engineering and management.

It equips practicing and fresh graduate engineers with skills in engineering problems modeling on one hand, and with skills in project and operations management on the other.

Many of the graduates hold high positions in various industries nationally and internationally, and several of them pursued doctoral degrees in top notch universities in Europe, and North America.

What will you study?

The MSEM at UOB guides its students to both high quality course learning, and high quality research projects.

The program is designed to have students study four core courses. These four courses form the necessary, and sufficient course information to equip students with engineering management skills. In addition, the students have to pursue elective courses either related to engineering management or in general specialty engineering topics. This enhances multi-disciplinarity in the students’ training and portfolio. The students also prepare a master’s thesis over two semesters.

Career Prospects

The MSEM helps students in developing their careers as managers of engineering projects and/or operations. Thus career prospects are diverse, but not limited to:

1. Project manager on site or in the office of an engineering firm. Duties may consist of (i) schedule preparation, updating and control, (ii) cost estimation, and control, (iii) risk assessment, (iv) quality assurance and control, (vi) and human resources management.
2. Operation manager for different types of industries.
3. Private or public sector decision maker.
4. Financial and economic consultant in projects, and operations.
5. Advisers and/or consultant to policy makers.

MSEM Program Learning Objectives MSEM Program Learning Outcomes

Program Requirements

Program Of Study

Courses Description

ENMG 412 ENGINEERING DETERMINISTIC MODELING 3.0: 3 cr. E.

 

This course focuses on the main deterministic models of engineering problems, and on methods of solutions. The course consists of:

1. math modeling of linear programming models, linear programming and simplex method, duality of linear programming models, sensitivity analysis of linear programming models
2. math modeling of binary integer programming and mixed integer programming models, intuitive solution method of integer programming method, and branch and bound solution method of integer programming models

 

ENMG 413 ENGINEERING DECISION MODELING 3.0: 3 cr. E.

 

This course focuses on the multi-criteria decision making methods, and their application to engineering problems. The course consists of modeling and solving:

1. the multi-attribute utility theory models
2. the simple multi-attribute rating theory
3. the analytic hierarchy process
4. the p reference ranking organization method for enrichment of evaluations
5. the technique for order of preference by similarity to ideal solution
6. group decisions methods
7. sen sitivity analysis in decision making

 

ENMG 422 PROJECT LIFE CYCLE COST MANAGEMENT3.0: 3 cr. E.

 

The course focuses on the cost and economics analysis of engineering projects. It consists of:

1. capital cost estimation
2. maintenance cost estimation
3. advanced engineering economy
4. life cycle cost analysis
5. replacement analysis
6. break-even analysis
7. depreciation
8. taxes evaluation

 

ENMG 423 FINANCIAL MANAGEMENT OF PROJECTS3.0: 3 cr. E.

 

This course focuses at the financial evaluation, and accounting of engineering projects. The course consists of:

1. accounting procedures
2. financial statements
3. evaluation of financial ratios
4. administration of projects.

 

ENMG 424 PROJECT PROCUREMENT MANAGEMENT 3.0: 3 cr. E.

 

The course consists of:

1. overview of project organizations
2. the design-build project delivery approach
3. the build-operate-transfer project delivery approach
4. innovative delivery approaches, financial schemes, and associated contracts
5. allocation of risks in contracts
6. bidding phase characteristics
7. components of the proposal package
8. evaluation of the financial, and technical components
9. contract formation and agreement closure.

 

ENMG 432 MODERN TECHNIQUES IN HUMAN RESOURCES MANAGEMENT 3.0: 3 cr. E.

 

The purpose of this course is to provide an overview of human resource management, with particular emphasize on the modern approach of total quality management in performance assessment, leadership skills, and the motivation and reward systems. The course aims at providing the following benefits:

1. understand human resource management from a systemic, strategic perspective,
2. describe the field of "human resource management" and understand its relevance to managers and employees in work organizations
3. recognize basic human resource management tools such as performance appraisal forms, and understand some of the technical details of human resource management practices
4. analyze business challenges involving human resource systems

 

ENMG 435 OPERATIONS MANAGEMENT 3.0: 3 cr. E.

 

This course focuses on business processes, procedures, analytic methods and strategies used to transform various inputs into finished goods and services. The main course aim is to familiarize students with the problems and issues confronting operations managers, and provide them with language, concepts, insights and tools to deal with these issues in order to gain competitive advantage through operations. Operational issues include designing, acquiring, operating, and maintaining the facilities and processes; purchasing raw materials; controlling and maintaining inventories; and providing the proper labour needed to produce a good or service so that customers' expectations are met.

 

ENMG 460 DECISION AND RISK MANAGEMENT 3.0: 3 cr. E.

 

This course introduces risk and decision analysis, with special attention to the decisions in project management. This course is divided into 3 parts:

Part 1: introduction to risk and decision analysis

Part 2: modeling and inputs

Part 3: special topics

It deals with decision analysis process, decision policy, utility and multi-criteria decision, decision tress, Monte Carlo simulation, probability distribution types, and other topics.

 

ENMG 514 ENGINEERING NETWORK MODELING 3.0: 3 cr. E.

 

Engineering network problems, a subclass of linear programming, have wide-ranging applications in domains such as transportation, manufacturing , supply chains, and project management. This course focuses on the theory and specialized algorithms for the minimum cost network flow problem and its special cases, such as the shortest path and maximum flow problems, the minimum cost flow problem, and the multi-commodity flow problem as well as some extensions. Network flows is probably the most relevant graph theoretic topic for practical applications. A large number of practical problems can be formulated and solved efficiently as a flow problem.

 

ENMG 515 ENGINEERING STOCHASTIC MODELING 3.0: 3 cr. E.

 

This course focuses on the main stochastic models of engineering problems. The course consists of:

1. modeling and solving decision trees
2. modeling and solving queuing models
3. modeling and solving markov chain models
4. modeling and solving models using Monte Carlo simulation

 

ENMG 516 ADVANCED TOPICS IN ENGINEERING MODELING 3.0: 3 cr. E.

This course covers two important aspects of artificial intelligence: The theory of fuzzy sets and its use in decision making, and fuzzy logics such as boolean logic, multi-valued logics, and approximate reasoning. It introduces applications of fuzzy logic in several areas such as fuzzy control and fuzzy decision making.

 

ENMG 517 ADVANCED ENGINEERING STATISTICS 3.0: 3 cr. E.

 

This course focuses on how to manipulate and analyze design of experiments for different areas of engineering problems. It introduces students to planning, experiments control, production and large volume manipulation. It also covers statistical techniques such as discriminant analysis, and decision making. The course covers the following topics:

1. practical tools for effective experimentation
2. optimizing processes using response surface methods for design of experiments,
3. mixture design, response modeling, statistical analysis and numerical optimization
4. practical aspects of algorithmic design of physical experiments
5. graphical optimization and interactions

 

ENMG 520 PROJECT MANAGEMENT FOR PROFESSIONALS 3.0: 3 cr. E.

 

This course is designed for project managers/students to revise, advance their skills, and prepare for the PMI certification exam. The student will go through the key skills needed to ensure a successful project delivery. Course contents include the following: starting an advanced project successfully, building the macro plan, building the detailed project plan, building the project team, how to run the project on day-to-day basis, monitoring and controlling the project, successfully shutting down the project, and emergency actions. The course exams reflect the PMP examination methods.

 

ENMG 521 PROJECT RISK MANAGEMENT 3.0: 3 cr. E.

 

This course focuses on identifying and evaluating risks in projects, and preparing mitigation plans. The course tackles risk in the scope of work, in the schedule, in the cost, in human resources. Moreover, the course teaches quantitative and qualitative assessment methods of risk, and Monte Carlo simulation technique.

ENMG 522 MAINTAINABILITY AND RELIABILITY MANAGEMENT 3.0: 3 cr. E.

This course focuses on reliability-centered maintenance of engineering systems. It deals of types of maintenance actions, schedule of maintenance actions, asset replacement, resource requirements of the maintenance operation, optimization issues in asset management. The course consists of:

1. reliability theory
2. areas of maintenance and replacement
3. optimization models and analysis
4. preventive replacement intervals
5. condition-based maintenance actions
6. capital equipment replacement
7. maintenance resource requirements

 

ENMG 523 ADVANCED TOPICS IN PROJECT MANAGEMENT 3.0: 3 cr. E.

This course focuses on advanced topics in project management (that may change from term to term). The course deals with important topics such as:

1. trade off analysis
2. critical chain management
3. learning curves
4. claims and disputes

 

ENMG 536 LEADERSHIP AND PROFESSIONAL RESPONSIBILITY 3.0:3 cr. E.

 

This course is designed to teach three primary components of leadership: group behavior, hard skills and logistical aspects of leadership and professional responsibility. This course considers:

1. the role of business in society, on a local, national, and global basis
2. economic and ethical aspects of acting as a business professional and the responsibilities that these imply
3. several models or themes of "leadership" and their application to business

 

ENMG 585 QUALITY ASSURANCE & CONTROL 3.0: 3 cr. E

 

This is a practical course in quality management, quality standards and their application in engineering. The course provides a set of tools that can be used in any business to define, monitor, and control quality. Statistical quality control techniques, quality control specifications and standards, benchmarking, and quality function deployment will be covered.