Graduate Programs - Industrial Engineering

2018-19 academic year MSc program

Degrees and Tracks

The Department offers three types of M.Sc. degrees:

 

1. Academic M.Sc. in Industrial Engineering

Requirements for this degree include:

Research Track

  • Completing courses for a minimum total of 24 credit points in accordance with the curriculum
  • Writing a final thesis for a total of 12 credit points, in compliance with the Faculty's Regulations for Advanced Degrees (Total of 36 credit points)
  • Participation in a minimum of 14 departmental seminars

 

Final Project Track

  • Completing courses for a minimum total of 36 credit points in accordance with the curriculum
  • A project for 3 credit points (Total of 39 credit points)
  • Participation in a minimum of 8 departmental seminars

 

2. Academic M.Sc. in Industrial Engineering & Management

Requirements for this degree include:

Research Track

  • Completing courses for 27 credit points, including 18 credits in Engineering and 9 credits in Management, in accordance with the curriculum
  • Writing a final thesis for a total of 12 credit points, in compliance with the Faculty's Regulations for Advanced Degrees (Total of 39 credit points)
  • Participation in a minimum of 14 departmental seminars

 

Final Project Track

  • Completing courses for a minimum total of 38 credit points, including 26 credits in Engineering and 12 credits in Management in accordance with the curriculum
  • A project for 3 credit points (Total of 41 credit points)
  •  Participation in a minimum of 8 departmental seminars

 

3. Combined academic degree: MSc in Industrial Engineering & MBA from the School of Management

Requirements for MSc in Industrial Engineering

  • Completing courses for a minimum total of 18 credit points from the Industrial Engineering M.Sc. program. For exemption from 6 credit points in the Management Cluster students must complete the combined degree. Students who do not meet the full requirements in both programs will be required to take more courses, as needed to receive a M.Sc. degree in Industrial Engineering or Industrial Engineering & Management, as specified above.
  • Writing a final thesis for a total of 12 credit points, in compliance with the Faculty's Regulations for Advanced Degrees
  •  Participation in a minimum of 14 departmental seminars

 

Requirements for MBA

The MBA program includes courses for 22 credit points, in accordance with the MBA curriculum. For exemption from 3 courses (6 credit points), students must complete both programs in the combined degree.

 

Stages of the study program:

(See Paragraph 3.4 of the M.Sc. Regulations of the Faculty of Engineering)

  • In general, M.Sc. studies at the Faculty of Engineering comprise of two stages: First - Accumulative Studies, and second – Regular (Full) Studies. The Accumulative Stage, designed for students who work while they study, must be completed within a maximum of three academic years, during which students must take all mandatory departmental courses, and accumulate a minimum of 12 and a maximum of 18 credit points.  Students completing the Accumulative Studies are recognized as Regular Students – in either the Research of Final Project Tracks. To be admitted to the Research Track, a student must have a permanent supervisor guiding his research for the thesis. It must be emphasized that admission to Accumulative Studies is considered admission to the MSc program in every respect.
  • Students studying on scholarships attend the Fulltime program. They are admitted directly to Regular Studies, only in the Research Track. They must choose a permanent supervisor no later than the end of their first semester of studies.
  • Students opting for the Industrial Engineering & Management program must inform the Department during the first semester of Accumulative Studies.
  • M.Sc. candidates requiring supplementary studies are admitted to a supplementary program.

 

For a detailed description of study stages, conditions for continuing on to the next year, requirements at each stage and conditions for advancement to the Regular Studies stage, please see the M.Sc. Regulations.

 

Specializations

The Department offers three areas of specialization, reflecting the current interests, courses and knowledge of its faculty members:

  • Operations & Logistics
  • Business Analytics
  • Human Aspects of Systems

The curriculum allows but does not require specialization. To specialize, a student must take courses in accordance with the relevant requirements and write a thesis or final project in the field of specialization.

 

 

Prerequisites

The relevant registration and admission requirements (in addition to general TAU requirements) are published annually in the Registration Center's Guide for Candidates.

  1. For the Industrial Engineering M.Sc. program – to apply for admission a candidate must meet all requirements specified in the Registration Guide, as well as:
    1. B.Sc.  in Engineering or the Exact Sciences from an institution of higher education recognized by the Council for Higher Education
    2. Minimum weighted average grade of 80 in undergraduate studies
  2. Admission to the combined M.Sc. & MBA program depends on openings in the program. Prerequisites include: Fulltime status, Completion of the B.Sc. in Industrial Engineering & Management in the top 20% of the class, minimum average grade of 90, meeting the admissions requirements of the School of Management, based on the average grades and GMAT results.
  3. The minimum required for admission -varies from one year to another, and depends on the level of candidates and the Department's capacity in that particular year. Admission depends on the candidate's knowledge base, background of undergraduate studies, average grade in the B.Sc. studies, and the relative placement in the undergraduate class. Candidates must submit their grade records and documentation of their undergraduate placement.
  4. A candidate whose grade average is lower than the required minimum but not lower than 75, may, in exceptional cases, be admitted to the MSc program in a provisional status, depending on the Department's capacity in that particular year, and for a maximum period of one year. Students in this status must complete the Department's two mandatory courses with a minimum average of 70.
  5. Based on the criteria of knowledge base and undergraduate background, some candidates will be required to complete several undergraduate courses. Admission will be in a special status – supplementary studies.
    1. The supplementary program will be determined by the Head of the Departmental Committee for M.Sc. Studies, based on the candidate's knowledge base and undergraduate background. For more information please see the M.Sc. Regulations.
    2. Prerequisites for continuing to M.Sc. studies: completing each course with a grade of 75, and all courses with an average grade of 80. In addition, the students must meet any other requirements set by the Faculty.

 

Course categories

  1. Mandatory courses
  2. Core courses
  3. Elective courses
  4. Elective Management courses

 

Requirements according to Study Tracks:

Research Track

 

Industrial Engineering

Industrial Engineering & Management

Combined with MBA

Mandatory

6

6

6

Core

10

10

10

All Cores & Electives

4-8

2

2

Management

0-4

9

-

Total for degree

24

27

18

 

For specializations students must choose core courses of the elected specialization and write a thesis in the relevant field.

 

Final Project Track

 

Industrial Engineering

Industrial Engineering & Management

Mandatory

6

6

Core

12

12

All Cores & Electives

12-18

8

Management

0-6

12

Total for degree

36

38

 

For specializations students must choose core courses of the elected specialization and conduct a final project in the relevant field.

 

Courses in the Program:

 

Mandatory courses

M.Sc. students in all tracks must take the following mandatory courses during their first year of studies:

Course No.

Course name

Credit points

Hours

Prerequisites

0572.5110

Applied Optimization for Engineers

3

3

Deterministic Models of Operations Research

0572.5225

Stochastic Methods for Industrial Engineering

3

3

Stochastic Models of Operations Research

 

Core courses for Operations & Logistics specialization (not all courses are given every year)

Course No.

Course name

Credit points

Hours

Prerequisites

0571.4159

Service Systems

2

3

Analysis of Production Systems; Stochastic Models of Operations Research; Deterministic Models of Operations Research

0572.5201

Dynamic Systems

2

2

 

0572.5256

Design of Production Lines

2

2

Analysis of Production Systems

0572.5257

Combinatorial Optimization from Theory to Practice 

2

2

Applied Optimization for Engineers

0572.5302

Operations Scheduling

2

2

Analysis of Production Systems

0572.5305

Supply Chain Management

2

2

Analysis of Inventory Systems

0572.5308

Management of Distribution Systems

2

2

Applied Optimization for Engineers

0572.5353

Operation of Transportation Systems

2

2

Applied Optimization for Engineers

0572.5357

Game Models in Operation Systems

2

2

Introduction to Probability

 

Core courses for Business Analytics specialization (not all courses are given every year)

Course No.

Course name

Credit points

Hours

Prerequisites

0365.4063

Statistical Learning

3

3

Probability; Statistics

0510.6205

Statistical Machine Learning

3

3

Random signals and Noise

0572.5112

Applications of Information Theory to Search Problems

2

2

Probability; Statistics

0572.5118

Applications of Anomaly Detection in Service and Industrial Systems

2

2

 

0572.5120

Data Privacy

2

2

Introduction to Probability; Communication Networks

0572.5122

Data Visualization

2

2

 

0572.5135

Big Data Technologies and Databases 3

2

2

Programming; Statistical Analysis of Data; Introduction to Information Systems; Data Warehousing

0572.5139

Introduction to Data Science 3

2

2

Design of Database Systems; Data Warehousing

0572.5320

Curiosity: Models and Applications

2

2

Optimization and Meta-Heuristics

0572.5448

Advanced Data Mining for Structured and Unstructured Data

2

2

Design of Database Systems; Deterministic and Stochastic Models

0571.4160

Information Retrieval and Recommender Systems 1

2

3

Programming; Linear Algebra; Optimization and Meta-Heuristics; Data Structures

0571.4180

Information Security 1

2

3

Linear Algebra; Analysis and Design of Information Systems

 

Core courses for the Humans Aspects of Systems specialization (not all courses are given every year)

Course No.

Course name

Credit points

Hours

Prerequisites

0571.4159

Service Systems 1

2

3

Analysis of Production Systems; Stochastic Models of Operations Research; Deterministic Models of Operations Research

0571.4164

Quantitative Models of Human Performance 1,2

2

3

Statistics

0571.4166

Human-Computer Interface Design and Evaluation 1

2

3

Cognitive Aspects in Human Factors Engineering; Analysis and Design of Information Systems

0572.5117

Research Methods in Human-Computer Interaction

2

2

 

0572.5120

Data Privacy

2

2

Introduction to Probability; Communication Networks

0572.5122

Data Visualization

2

2

 

0572.5125

Interaction with Autonomous Systems

2

2

Statistics; Stochastic Methods of Operations Research; Cognitive Aspects in Human Factors Engineering

0572.5351

Decision Making Under Uncertainty

2

2

 

0572.5357

Game Models in Operation Systems

2

2

Introduction to Probability

0572.5362

Human-Robot Interaction

2

2

 

 

Elective Courses (not all courses are given every year)

Course No.

Course name

Credit points

Hours

Prerequisites

0365.2112

Design of Experiments and Analysis of Variance 1

3

4

Statistical Data Analysis

 

0365.3247

Regression Analysis 1

2

3

Statistics

0365.4078

Statistics for the Big Data  

3

3

 

0365.4078

Flows in Networks

3

3

Deterministic Models of Operations Research; Linear Algebra

0365.4150

Approximate Algorithms in Combinatorial Optimization

3

3

 

0365.4436

Queuing Theory

3

3

Stochastic Methods for Industrial Engineers

0510.6101

Information Theory

3

3

Random Signals and Noise

0510.7003

Scientific Writing in English

None

 

 

0510.7404

Computational Learning Theory

2

2

Data Structures and Algorithms; Introduction to Probability and Statistics

0540.6610

Multi-Objective Optimization

3

3

 

0572.5113

Thinking and Creativity: Cognitive Systems for engineers

2

2

 

0572.5354

Selected Topics in Industrial Engineering: the Mathematics of Mind

2

2

 

0572.5355

Selected Topics in Industrial Engineering: Identifying Redundancy of Constraints

2

2

 

0572.5356

Selected Topics in Industrial Engineering: Group Testing

2

2

 

 
Elective Courses in Management
 
4.1 – For students with a BSc in Industrial Engineering & Management

Course No.

Course name

Credit points

Hours

Prerequisites

1231.2322

Principles of Strategy

1.5

1

-

1231.2415

Business Ethics

1.5

1

-

1231.3011

Strategic Thinking 1

1.5

1

-

1231.3323

The Capital Market in Israel

1.5

1

Investment Theory and Security Analysis

1231.3332

Banking Management

1.5

1

Introduction to Finance and Engineering Economics

1231.3340

Financial Management

3

2

Introduction to Finance and Engineering Economics; Industrial and Cost Accounting

1231.3341

Investment Theory and Security Analysis

3

2

Introduction to Finance and Engineering Economics

1231.3344

Options and Futures

1.5

1

Investment Theory and Security Analysis

1231.3375

Behavioral Finance

1.5

1

Principles of Finance

1231.3401

Methods of Research in Markets and Organizations

1.5

1

Introduction to Marketing; Stochastic Models in Operations Research

1231.3402

Consumer Insights and Strategic Marketing

3

2

Marketing Management

1231.3406

Industrial Marketing (B2B)

1.5

1

Marketing Management

1231.3619

Strategic Management

1.5

1

Principles of Strategy

1231.3622

Industry Analysis

1.5

1

Principles of Strategy

1231.3922

Measuring Eco-Efficiency in Business Context

1.5

1

-

1231.3928

Development and Use of Patents as a Strategic Business Tool

1.5

1

-

1242.2203

Information Systems and Business Strategy

1.5

1

Principles of Information Systems

1242.2216

 

Information in Decision-Making Processes

1.5

1

Economics for Industrial Engineers

1242.2219

Managing the Information Resource

1.5

1

Principles of Information Systems; Economics for Industrial Engineers

1242.3248

Knowledge Data Discovery and Neural Networks

1.5

1

Statistics

1242.3259

Risk Management and New Business Models in the Cyber World

1.5

1

-

1242.3262

Sustainable Product Life Cycle Management

1.5

1

-

1242.3266

Networks, Crowds, and Markets

1.5

1

-

1243.3014

International Management 1

1.5

1

Organizational Behavior

1243.3015

Management of Teams

1.5

1

Organizational Behavior

1243.3125

Managing Negotiations

1.5

1

Organizational Behavior

1243.3542

Organizational Design

1.5

1

Organizational Behavior

 
4.2 – For students with a Bachelor's degree in other disciplines

Course No.

Course name

Credit points

Hours

Prerequisites

1231.2212

Organizational Behavior for Business Administration

3

2

-

1231.2322

Principles of Strategy

1.5

1

-

1231.2410

Principles of Finance

3

2

Statistics

1231.2411

Management of Technology and Information

1.5

1

-

1231.2413

Marketing Management

3

2

Economics

1231.2415

Business Ethics

1.5

1

-

1231.3340

Financial Management

3

2

Principles of Finance; Accounting

 

Registration for courses at the School of Management is per available openings.

  • A student may register for a maximum of three courses outside the curriculum, as approved by his permanent supervisor.
  • A course outside the curriculum will be considered an elective course. A course outside the Faculty will receive credit points, as allocated by its home Department, and can count for up to 3 credit points at the Faculty of Engineering.
  • Students with a B.Sc. in Industrial Engineering will select management courses from Section 4.1; Students with a BSc in other Disciplines will select management courses from Section 4.2.

 

Course No. Legend:

0571 – Industrial Engineering (Undergraduate)

0572 – Industrial Engineering (M.Sc. program)

0510 – School of Electrical Engineering

0540 – School of Mechanical Engineering

0368 – Computer Science

0365 – Dept. of Statistics

1231-1243 – School of Management

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