Entrepreneurship in Data Science and Analytics

2019-2020
Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

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.

Inhoud vak

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.

Onderwijsvorm

weekly lectures

Toetsvorm

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

Literatuur

handouts to be distributed during the course

Doelgroep

mBA, mMath, mCS, mAI, mIS, mPDCS

Overige informatie

Register as usual and via Canvas

Algemene informatie

Vakcode X_405122
Studiepunten 6 EC
Periode P4+5
Vakniveau 400
Onderwijstaal Engels
Faculteit Faculteit der Bètawetenschappen
Vakcoördinator prof. dr. G.M. Koole
Examinator prof. dr. G.M. Koole
Docenten prof. dr. G.M. Koole
prof. dr. J.F.M. Feldberg
prof. dr. E. Masurel

Praktische informatie

Voor dit vak moet je zelf intekenen.

Voor dit vak kun je last-minute intekenen.

Werkvormen Werkcollege, Deeltoets extra zaalcapaciteit, Hoorcollege
Doelgroepen

Dit vak is ook toegankelijk als: