Master of Science in Business Engineering (Data Analytics)

A business engineer possesses a thorough knowledge of the discipline of business administration and related technologies, i.e. technological products and processes. In this respect, a business engineer may act as a mediator between technical and business economic positions to conduct data analysis, modelling and decision-making. You are trained to develop and implement business solutions from model to business process, and to develop and implement solutions for business problems. You also model the real business situation in a (-n abstract) presentation, take relevant decisions based on the model and translate these decisions into business processes.

This program is accredited by AACSB International – The Association to Advance Collegiate Schools of Business. AACSB is a global nonprofit association whose accreditation processes are ISO 9001:2015 certified.

https://www.aacsb.edu/about-us

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Master's Programme

2 year 120 credits

Faculty of Economics and Business Administration

English

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About the programme

Programme summary

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Off to a good start

After graduation

First year

(version 10 )

Course schedule 1st semester Course schedule 2nd semester

1 General Courses

Course	MT1	Semester	Language	Instructor	Crdt
Strategic Management	1	sem 1	en	Johan Verrue	6

Technology for the Circular Economy	1	sem 2	en	Ramon Ganigué	5

Human Resources Management	1	sem 2	en	Dirk Buyens	5

System Dynamics	1	sem 1	en	Mia Loccufier	5

Business-to-business Marketing	1	sem 1	en	Steve Muylle	6

Business Process Management	1	sem 2	en	Michaël Verdonck	4

2 Courses Related to the Main Subject

Course	MT1	Semester	Language	Instructor	Crdt
Social Media and Web Analytics	1	sem 2	en	Matthias Bogaert	6

Analytical Customer Relationship Management	1	sem 1	en	Dirk Van den Poel	6

Machine Learning	1	sem 1	en	Dries Benoit	6

Simulation Modelling and Analysis	1	sem 2	en	Broos Maenhout	4

3 Elective Courses

Subscribe to 12 credit units from no less than 1 and no more than 3 modules from the following list. Subject to approval by the faculty.

Distributed over the first standard learning path as 6 credit units in year 1 and 6 credit units in year 2, over the second standard learning

path as 6 credit units in year 2 and 6 credit units in year 3.

3.1 Elective Advanced Courses

Subscribe to no more than 12 credit units from the following list.

Course	Semester	Language	Instructor	Crdt
Investment Analysis	sem 1	en	Michael Frömmel	6

Business Valuation	sem 2	en	Leentje Moortgat	4

Management Accounting and Control	sem 2	en	Sophie Maussen	4

Financial Risk Management	sem 1	en	Frank De Jonghe	6

Advanced Production Management	sem 2	en	Veronique Limère	6

Quality Management	sem 1	en	Dries Goossens	6

Decision Making for Business	sem 1	en	Mario Vanhoucke	6

Supply Chain Management	sem 2	en	Louis-Philippe Kerkhove	6

Econometrics: Time Series Analysis	sem 1	en	Gerdie Everaert	6

Networks in Socio-Economic Systems	sem 2	en	Luis Enrique Correa da Rocha	6

Project Management	sem 1	en	Mario Vanhoucke	6

Deep Learning	sem 2	en	Seppe vanden Broucke	6

Internship	year	nl,en	Frederik Gailly	6

Clean Technology	sem 1	en	Sophie Huysveld	5

Rational Use of Materials	sem 1	en	Tom Depover	5

Heuristics and Search Methods	sem 1	en	Sidharta Gautama	3

Methods Engineering and Work Measurement	sem 2	en	Dieter Claeys	6

Network Modelling and Design	sem 2	en	Mario Pickavet	4

Project Management	sem 2	en	Mario Vanhoucke	6

Quality Engineering and Industrial Statistics	sem 2	en	Stijn De Vuyst	6

Queueing Theory	sem 1	en	Joris Walraevens	6

NoSQL Databases	sem 2	en	Antoon Bronselaer	3

Data Quality	sem 1	en	Antoon Bronselaer	3

3.2 Elective General Courses

Course	Ref	Semester	Language	Instructor	Crdt
Economics of Banking		sem 1	en	Rudi Vander Vennet	6

Economics of Financial Markets		sem 1	en	William De Vijlder	6

Advanced Econometrics: Non-Linear Methods		sem 2	en	Gerdie Everaert	6

Advanced Microeconomics: Game Theory		sem 1	nl,en	Dirk Van de gaer	6

Microeconomics: Decision Theory		sem 1	en	Dirk Van de gaer	6

Monetary Economics		sem 1	nl	Gert Peersman	5

Ecological Economics		sem 2	en	Brent Bleys	6

Insurances		sem 1	nl	Thomas Verheyen	6

Audit		sem 1	en	Anschi De Wolf	6

Taxation		sem 2	nl	Annelies Roggeman	5

Advanced Financial Statement Analysis		sem 1	en	Heidi Vander Bauwhede	6

Market Research Methods		sem 1	en	Hendrik Slabbinck	6

Corporate Social Responsibility		sem 2	nl	Saskia Crucke	3

Law and Economics		sem 2	nl	Ben Depoorter	3

Environmental Economics		sem 1	nl	Johan Albrecht	4

Ethics, Engineering and Society		sem 2	nl	Seppe Segers	3

Health Economics		sem 1	nl	Dominique Vandijck	5

Coaching and Diversity	UKV	year	nl	Elisabeth De Schauwer	3

Movement and Sports: Now and Later	UKV	sem 2	nl	Veerle Segers	3

Labour and Employment		sem 1	nl	Stijn Baert	6

3.3 Elective Courses Academic Teacher Education

Subscribe to no more than 12 credit units from the following list.

Course	Semester	Language	Instructor	Crdt
Powerful Learning Environments	sem 1	nl	Bram De Wever	6

Classroom Management and Reflection	sem 2	nl	Tijs Rotsaert	4

The Teacher within School and Society	sem 1	nl	Melissa Tuytens	4

Psychology of Adolescence	sem 1	nl	Wim Beyers	4

Second year

(version 10 )

Course schedule 1st semester Course schedule 2nd semester

1 General Courses

Course	MT1	Semester	Language	Instructor	Crdt
Managing Service Organisations	2	sem 2	en	Kaat De Pourcq	4

Enterprise Architecture	2	sem 1	en	Michal Hron	4

Innovation Management	2	sem 2	en	Katrien Verleye	3

Financing High Tech Entrepreneurial Companies	2	sem 1	en	Miguel Meuleman	4

Technology Entrepreneurship	2	sem 1	en	Johan Verrue	4

2 Courses Related to the Main Subject

Course	MT1	Semester	Language	Instructor	Crdt
Predictive and Prescriptive Analytics	2	sem 2	en	Matthias Bogaert	6

Big Data	2	sem 1	en	Dirk Van den Poel	6

3 Elective Courses

Subscribe to 12 credit units from no less than 1 and no more than 3 modules from the following list. Subject to approval by the faculty.

Distributed over the first standard learning path as 6 credit units in year 1 and 6 credit units in year 2, over the second standard learning

path as 6 credit units in year 2 and 6 credit units in year 3.

3.1 Elective Advanced Courses

Subscribe to no more than 12 credit units from the following list.

Course	Semester	Language	Instructor	Crdt
Investment Analysis	sem 1	en	Michael Frömmel	6

Business Valuation	sem 2	en	Leentje Moortgat	4

Management Accounting and Control	sem 2	en	Sophie Maussen	4

Financial Risk Management	sem 1	en	Frank De Jonghe	6

Advanced Production Management	sem 2	en	Veronique Limère	6

Quality Management	sem 1	en	Dries Goossens	6

Decision Making for Business	sem 1	en	Mario Vanhoucke	6

Supply Chain Management	sem 2	en	Louis-Philippe Kerkhove	6

Econometrics: Time Series Analysis	sem 1	en	Gerdie Everaert	6

Networks in Socio-Economic Systems	sem 2	en	Luis Enrique Correa da Rocha	6

Project Management	sem 1	en	Mario Vanhoucke	6

Deep Learning	sem 2	en	Seppe vanden Broucke	6

Internship	year	nl,en	Frederik Gailly	6

Clean Technology	sem 1	en	Sophie Huysveld	5

Rational Use of Materials	sem 1	en	Tom Depover	5

Heuristics and Search Methods	sem 1	en	Sidharta Gautama	3

Methods Engineering and Work Measurement	sem 2	en	Dieter Claeys	6

Network Modelling and Design	sem 2	en	Mario Pickavet	4

Project Management	sem 2	en	Mario Vanhoucke	6

Quality Engineering and Industrial Statistics	sem 2	en	Stijn De Vuyst	6

Queueing Theory	sem 1	en	Joris Walraevens	6

NoSQL Databases	sem 2	en	Antoon Bronselaer	3

Data Quality	sem 1	en	Antoon Bronselaer	3

3.2 Elective General Courses

Course	Ref	Semester	Language	Instructor	Crdt
Economics of Banking		sem 1	en	Rudi Vander Vennet	6

Economics of Financial Markets		sem 1	en	William De Vijlder	6

Advanced Econometrics: Non-Linear Methods		sem 2	en	Gerdie Everaert	6

Advanced Microeconomics: Game Theory		sem 1	nl,en	Dirk Van de gaer	6

Microeconomics: Decision Theory		sem 1	en	Dirk Van de gaer	6

Monetary Economics		sem 1	nl	Gert Peersman	5

Ecological Economics		sem 2	en	Brent Bleys	6

Insurances		sem 1	nl	Thomas Verheyen	6

Audit		sem 1	en	Anschi De Wolf	6

Taxation		sem 2	nl	Annelies Roggeman	5

Advanced Financial Statement Analysis		sem 1	en	Heidi Vander Bauwhede	6

Market Research Methods		sem 1	en	Hendrik Slabbinck	6

Corporate Social Responsibility		sem 2	nl	Saskia Crucke	3

Law and Economics		sem 2	nl	Ben Depoorter	3

Environmental Economics		sem 1	nl	Johan Albrecht	4

Ethics, Engineering and Society		sem 2	nl	Seppe Segers	3

Health Economics		sem 1	nl	Dominique Vandijck	5

Coaching and Diversity	UKV	year	nl	Elisabeth De Schauwer	3

Movement and Sports: Now and Later	UKV	sem 2	nl	Veerle Segers	3

Labour and Employment		sem 1	nl	Stijn Baert	6

3.3 Elective Courses Academic Teacher Education

Subscribe to no more than 12 credit units from the following list.

Course	Semester	Language	Instructor	Crdt
Powerful Learning Environments	sem 1	nl	Bram De Wever	6

Classroom Management and Reflection	sem 2	nl	Tijs Rotsaert	4

The Teacher within School and Society	sem 1	nl	Melissa Tuytens	4

Psychology of Adolescence	sem 1	nl	Wim Beyers	4

4 Master's Dissertation

Course	Ref	MT1	Semester	Language	Instructor	Crdt
Master's Dissertation		2	year	en		24

Full programme

(version 10 )

Print

1 General Courses 50

Course	MT1	Semester	Language	Instructor	Crdt
Strategic Management	1	sem 1	en	Johan Verrue	6

Technology for the Circular Economy	1	sem 2	en	Ramon Ganigué	5

Human Resources Management	1	sem 2	en	Dirk Buyens	5

System Dynamics	1	sem 1	en	Mia Loccufier	5

Business-to-business Marketing	1	sem 1	en	Steve Muylle	6

Managing Service Organisations	2	sem 2	en	Kaat De Pourcq	4

Enterprise Architecture	2	sem 1	en	Michal Hron	4

Innovation Management	2	sem 2	en	Katrien Verleye	3

Business Process Management	1	sem 2	en	Michaël Verdonck	4

Financing High Tech Entrepreneurial Companies	2	sem 1	en	Miguel Meuleman	4

Technology Entrepreneurship	2	sem 1	en	Johan Verrue	4

2 Courses Related to the Main Subject 34

Course	MT1	Semester	Language	Instructor	Crdt
Social Media and Web Analytics	1	sem 2	en	Matthias Bogaert	6

Analytical Customer Relationship Management	1	sem 1	en	Dirk Van den Poel	6

Machine Learning	1	sem 1	en	Dries Benoit	6

Simulation Modelling and Analysis	1	sem 2	en	Broos Maenhout	4

Predictive and Prescriptive Analytics	2	sem 2	en	Matthias Bogaert	6

Big Data	2	sem 1	en	Dirk Van den Poel	6

3 Elective Courses 12

Subscribe to 12 credit units from no less than 1 and no more than 3 modules from the following list. Subject to approval by the faculty.

Distributed over the first standard learning path as 6 credit units in year 1 and 6 credit units in year 2, over the second standard learning

path as 6 credit units in year 2 and 6 credit units in year 3.

3.1 Elective Advanced Courses

Subscribe to no more than 12 credit units from the following list.

Course	Semester	Language	Instructor	Crdt
Investment Analysis	sem 1	en	Michael Frömmel	6

Business Valuation	sem 2	en	Leentje Moortgat	4

Management Accounting and Control	sem 2	en	Sophie Maussen	4

Financial Risk Management	sem 1	en	Frank De Jonghe	6

Advanced Production Management	sem 2	en	Veronique Limère	6

Quality Management	sem 1	en	Dries Goossens	6

Decision Making for Business	sem 1	en	Mario Vanhoucke	6

Supply Chain Management	sem 2	en	Louis-Philippe Kerkhove	6

Econometrics: Time Series Analysis	sem 1	en	Gerdie Everaert	6

Networks in Socio-Economic Systems	sem 2	en	Luis Enrique Correa da Rocha	6

Project Management	sem 1	en	Mario Vanhoucke	6

Deep Learning	sem 2	en	Seppe vanden Broucke	6

Internship	year	nl,en	Frederik Gailly	6

Clean Technology	sem 1	en	Sophie Huysveld	5

Rational Use of Materials	sem 1	en	Tom Depover	5

Heuristics and Search Methods	sem 1	en	Sidharta Gautama	3

Methods Engineering and Work Measurement	sem 2	en	Dieter Claeys	6

Network Modelling and Design	sem 2	en	Mario Pickavet	4

Project Management	sem 2	en	Mario Vanhoucke	6

Quality Engineering and Industrial Statistics	sem 2	en	Stijn De Vuyst	6

Queueing Theory	sem 1	en	Joris Walraevens	6

NoSQL Databases	sem 2	en	Antoon Bronselaer	3

Data Quality	sem 1	en	Antoon Bronselaer	3

3.2 Elective General Courses

Course	Ref	Semester	Language	Instructor	Crdt
Economics of Banking		sem 1	en	Rudi Vander Vennet	6

Economics of Financial Markets		sem 1	en	William De Vijlder	6

Advanced Econometrics: Non-Linear Methods		sem 2	en	Gerdie Everaert	6

Advanced Microeconomics: Game Theory		sem 1	nl,en	Dirk Van de gaer	6

Microeconomics: Decision Theory		sem 1	en	Dirk Van de gaer	6

Monetary Economics		sem 1	nl	Gert Peersman	5

Ecological Economics		sem 2	en	Brent Bleys	6

Insurances		sem 1	nl	Thomas Verheyen	6

Audit		sem 1	en	Anschi De Wolf	6

Taxation		sem 2	nl	Annelies Roggeman	5

Advanced Financial Statement Analysis		sem 1	en	Heidi Vander Bauwhede	6

Market Research Methods		sem 1	en	Hendrik Slabbinck	6

Corporate Social Responsibility		sem 2	nl	Saskia Crucke	3

Law and Economics		sem 2	nl	Ben Depoorter	3

Environmental Economics		sem 1	nl	Johan Albrecht	4

Ethics, Engineering and Society		sem 2	nl	Seppe Segers	3

Health Economics		sem 1	nl	Dominique Vandijck	5

Coaching and Diversity	UKV	year	nl	Elisabeth De Schauwer	3

Movement and Sports: Now and Later	UKV	sem 2	nl	Veerle Segers	3

Labour and Employment		sem 1	nl	Stijn Baert	6

3.3 Elective Courses Academic Teacher Education

Subscribe to no more than 12 credit units from the following list.

Course	Semester	Language	Instructor	Crdt
Powerful Learning Environments	sem 1	nl	Bram De Wever	6

Classroom Management and Reflection	sem 2	nl	Tijs Rotsaert	4

The Teacher within School and Society	sem 1	nl	Melissa Tuytens	4

Psychology of Adolescence	sem 1	nl	Wim Beyers	4

4 Master's Dissertation 24

Course	Ref	MT1	Semester	Language	Instructor	Crdt
Master's Dissertation		2	year	en		24

Learning outcomes

Competence field 1: Competency in one or more scientific disciplines

An advanced understanding of the business economic theories and applying them critically and effectively in using complex operational, financial and marketing decision models.
Executing, analyzing and interpreting simulations and sensitivity analyses for complex operational, financial and marketing decision models.
Insight in the management of information and decision support systems and integrating them in a business environment.
An attitude of applying the basic sciences (mathematics, statistics and information science) for solving business economic problems in an autonomous and critical way.
Understanding of recent developments and future evolutions of the business economic and technical disciplines with respect to operational, financial and marketing problems.

Competence field 2: Scientific competency

Effectively selecting, developing and validating methods and techniques in order to identify and model complex operational, financial and marketing problems.
Analyzing complex operational, financial and marketing problems and identifying research questions for solving these problems.
Carrying out a literature research of the scientific international literature and using these sources in a creative way.
Interpreting results of one’s own research in a nuanced way and representing them in a scientifically correct way.
Relating the results of one’s own research to the scientific literature.
Choosing autonomously for a correct level of abstraction in the modelling of complex operational, financial and marketing problems.
Behaving conform to the ethical standards in a systemic way.

Competence field 3: Intellectual competency

Analysing complex operational, financial and marketing problems with a high degree of autonomy and solving these using integrated decision support models and systems.
Identifying, analyzing and integrating different levels of abstraction in an autonomous and effective manner in the design of decision support models and systems.
Developing a personal standpoint with respect to complex operational, financial and marketing problems on the basis of results of decision support models and systems.
Validating model solution outcomes in a critical manner in the perspective of the assumptions.
Reflecting critically on one’s own thinking and acting, and understanding and autonomously extending the boundaries of one’s own competences.
Following the evolutions within the discipline closely and integrating them in a flexible way in the acquired theories and principles.
Integrating multiple perspectives and making a trade-off between different solutions for complex operational, financial and marketing problems.

Competence field 4: Competency in collaborating and communicating

Reporting professionally in writing on complex operational, financial and marketing problems and their solutions.
Reporting professionally and orally on complex operational, financial and marketing problems and their solutions.
Project-based working in a team on a business economic research question in a multidisciplinary environment starting out from various roles with conflicting interests.
Communicating in English.

Competence field 5: Social competency

Apprenticing social and ethical aspects.
Understanding social and ethical consequences of decision support models and systems.

Competence field 6: Profession-specific competency (optional)

A thorough insight in the logistic and information processes of a business economic value chain.
Relating the different functional domains of an organization and integrating them in the value chain.
Apprenticing the environment, quality, safety and corporate social responsibility.
Managing the complexity of operational, financial and marketing processes by using decision support systems.
Understanding the impact of the technological knowledge society on the business economic value chain.