Master Project Business Analytics


Course Objective

The Master Project Business Analytics is the graduation project for the
Master Business Analytics or the Dual Master Business Analytics. As the
graduation project this course builds on and integrates previous courses
on Business Analytics. The student shows that he is capable of
independent research at an academic level (typically applied in a
practical context) on a specific topic in the field of Business
Analytics under supervision of one of the staff members of the Faculty
of Science. Furthermore, the student writes an academic report to
present the applied scientific methods and the obtained results. Also,
the student gives an oral presentation that is tailored to the audience.
As such, the skills described below should be demonstrated during the
Master Project Business Analytics.

Academic (research) skills:
• The student formulates a research question.
• The student studies relevant literature.
• The student either develops or selects algorithms to generate an
accurate model based on data related to the problem or develops a
(mathematical) model of the problem.
• The student analyzes the model using skills and techniques acquired
during the master’s program Business Analytics, and shows that he is
able to connect theories, models, and concepts with and within the
research topic.
• The student answers the research question using analytical and
numerical methods.
• The student is capable of independent and critical reflection on
his/her own and on other relevant work.
• The student is able to write a report that clearly describes the
research question, the motivation for this research, the relevant
literature, the used methodology, the results, conclusions and
• The student is able to give a clear presentation about the research
question, the motivation for this research, the used methodology, the
results, conclusions and recommendations.
• The student is able to collect data for validating and / or fitting
the model, and implement and verify computer programs.

Field of work:
• The student takes responsibility for his/her own actions.
• The student shows that he is capable of making well-founded decisions
and can support these choices.
• The student shows an appropriate work attitude during the master
project, e.g. independence, initiative, enthusiasm, punctuality.
• The student produces the required products and/or reports according
the schedule.
• The student gains an understanding of the way in which the
organization functions.
• The student practices and displays social and communication skills.
• The student explores potential career options.
• The student maintains and strengthens contacts between the Vrije
Universiteit Amsterdam and the host organization.

Course Content

The Master program in Business Analytics is concluded with the external
Master Project Business Analytics. This project differs from all other
parts of the study program as the student carries out a research project
for six months at an external organization. The project must
scientifically be state of the art and must also have clear educational
value. The student will work on a predefined project and is required to
create the required products within the stated period. The internship
proposal must be approved in advance by the Internship Board.

Teaching Methods

The student is an intern of the host organization for at least six
months on a full-time basis. The student will be supervised by one staff
member of the Faculty of Science and a supervisor from the host company.
A second reviewer of the Faculty of Science will need to approve the
proposal, plan of action, and will assess the final thesis.

The student also takes part in the Back to the VU Event every other
months (in total 3 x 3,5 hours lecture). The final time the student
gives a short presentation about his/her own master project. Attendence
is mandatory.

Method of Assessment

The assessment method consists of a written report (55%), an oral
presentation at the host company (10%), and the execution and attitude
(35%). The internship report, which is also the student's formal thesis,
is a written report about all relevant aspects, including the final
product and all relevant scientific background and motivation. The
internship will be concluded with a formal presentation, usually at the
host organization's premises. The student has to submit the written
report and give the presentation no later than the finishing date of the
After consultation with all supervisors involved, the student may submit
the report and/or give the presentation within two months after
completion of the internship. After those two months the student must
have an adequate grade (6 to 10), otherwise the internship will be
counted as not accomplished.

The thesis and final presentation are the only parts of the assessment
that can be improved when initially graded as insufficient.

Entry Requirements

At least 78 credit points, including the Research Paper Business
Analytics or the Research seminar Business Analytics. The student is
required to read the Course Manual which is available on the Master
Project Business Analytics Canvas website and to take the required steps
mentioned in the Course Manual.


Assigned individually.

Target Audience

mBA, mBA-D

Custom Course Registration

You have to enroll yourself for this Master Project Business Analytics via VUnet.

Explanation Canvas

If you are planning to start your Master Project Business Analytics
within four months and you cannot enroll for the Master Project because
you do not meet the requirements yet, please contact Annemieke van Goor
( so she can give you access to the Master
Project Business Analytics on Canvas. Here you find all the information
you need about the Master Project Business Analytics.

General Information

Course Code X_400459
Credits 36 EC
Period Ac. Year (sept)
Course Level 600
Language of Tuition English
Faculty Faculty of Science
Course Coordinator drs. H.J.M. van Goor-Balk
Teaching Staff

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture