Entrepreneurship in Data Science and Analytics

2019-2020

Course Objective

The objective of this course is to learn about entrepreneurship, with a
focus on IT, and especially business ideas that involve Data Science
and/or Analytics.
After this course:
- the student has knowledge on the different aspects of
entrepreneurship;
- the student can write a business model canvas of a (potential)
business idea.

Course Content

This course consists of several elements:
- lectures about different aspects of entrepreneurship;
- guest lectures by for example successful entrepreneurs and investors
in starting companies;
- writing a business plan for a real or imaginary company.
For students who have the intention to start their own company we will
make it possible to pitch their ideas for venture capitalists (like a
Dragons's Den).
Presence during the lectures is compulsory.
The course will be given by Enno Masurel (specialized in
Entrepreneurship, School of Business and Economics) and Ger Koole
(Analytics, Faculty of Science), assuring that all aspects of IT
entrepreneurship will be covered.

Teaching Methods

weekly lectures

Method of Assessment

The assessment consists of:
- a written exam
- the writing of a business plan (business model canvas)
Each count for 50%.

Literature

handouts to be distributed during the course

Target Audience

mBA, mMath, mCS, mAI, mIS, mPDCS

Additional Information

Register as usual and via Canvas

General Information

Course Code X_405122
Credits 6 EC
Period P4+5
Course Level 400
Language of Tuition English
Faculty Faculty of Science
Course Coordinator prof. dr. G.M. Koole
Examiner prof. dr. G.M. Koole
Teaching Staff prof. dr. G.M. Koole
prof. dr. J.F.M. Feldberg
prof. dr. E. Masurel

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Seminar, Lecture
Target audiences

This course is also available as: