Deze opleiding

Learn to use data science to develop innovative activities for large corporations and promising start-ups, by focusing on real-life assignments in this joint program of Tilburg University and TU/e.

open_in_newwebsite

locatieDen Bosch
diplomaMSc
typeregulier, 120 EC
start1 augustus, 1 januari
taalvolledig Engels
opleidingsduur2 jaar voltijd
accreditatiesNVAO
croho-code65018
numerus fixusnee
honoursnee
In the Master Data Science in Business and Entrepreneurship (DSBE) you cover all necessary disciplines to successfully apply data science in business and entrepreneurship in a responsible way. Data engineering is about designing systems handling the data infrastructure. Data analytics is about data science and AI models you run on the data. Since all models inevitably provide an output, interpreting, explaining, and interacting with this output is critical. That is why data-driven decision-making is needed. Data-driven business development is about translating the models into business impact, supported by law and ethics that the first four disciplines need to align with.
Study and work as part of a close-knit and interactive community of students, researchers and companies on Tilburg University's and TU/e's dedicated JADS (Jheronimus Academy of Data Science) campus in 's-Hertogenbosch.
Benefit from the combination of Tilburg University's business, legal and societal insights with the technological know-how of Eindhoven University of Technology.
Use the support and encouragement by JADS Playground & MKB Datalab when starting your own business.

Waarom aan de TU Eindhoven?

Benefit from the combination of Tilburg University's business, legal and societal insights with the technological know-how of Eindhoven University of Technology. Study and work as part of a close-knit and interactive community of students, researchers and companies at JADS, the dedicated data science campus of Tilburg
University and Eindhoven University of Technology located in 's-Hertogenbosch.
You will start programming, learning and applying data science methods from day 1 of the master's. Out of the two years, you can do more than one year of coursework in collaboration with businesses providing real-life data challenges. This practical experience is extremely appreciated by future employers and will allow you to launch your career in a way that cannot be achieved through a one-year master's program.
Benefit from the support and encouragement by JADS Playground & MKB Datalab when starting your own business.
Graduate with a diploma awarded by both Eindhoven University of Technology and Tilburg University.

Studieprogramma

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profielen

profiel Data Engineer



On top of the mandatory courses and master's thesis, you have to pass 5 elective courses worth 30 EC in total. You are expected to choose one of the four specilizations: Data Engineer, Data Scientist, Data Entrepreneur/Consultant, or Data-driven Researcher. To qualify for a certain specialization you should pass at least three courses from the relevant courses, including the core course (the course which is first in the list). You are strongly recommended to write your thesis in line with the specialization.

Data Engineer: Advanced Data Architectures, Cybersecurity, Real-Time Process Mining, Data-Driven Food Value Chain, Data Forensics.

profiel Data Scientist



On top of the mandatory courses and master's thesis, you have to pass 5 elective courses worth 30 EC in total. You are expected to choose one of the four specializations: Data Engineer, Data Scientist, Data Entrepreneur/Consultant, or Data-driven Researcher. To qualify for a certain specialization you should pass at least three courses from the relevant courses, including the core course (the course which is first in the list). You are strongly recommended to write your thesis in line with the specialization.

Data Scientist: Deep Learning, Prescriptive Algorithms, Real-Time Process Mining, Causal Interference for Business Development, Natural Language Processing.

profiel



On top of the mandatory courses and master's thesis, you have to pass 5 elective courses worth 30 EC in total. You are expected to choose one of the below specializations. To qualify for a certain specialization you should pass at least three courses from the relevant courses, including the core course (the course which is first in the list). You are strongly recommended to write your thesis in line with the specialization.

Data-Driven Researcher: Research in Action/Research Internship, Prescriptive Algorithms, Decision Support Systems, Causal Interference for Business Development, Natural Language Processing.

Onderwijs

taal van onderwijs100% en
avondonderwijsn.v.t.
afstandsonderwijsn.v.t.
onderwijsvormen
active learning, case studies, coaching, computer opdrachten, groepsopdracht, hoorcollege, individual guidance, classroom teaching, onderzoek, onderzoeksproject, practicum, thesis
studeren in het buitenland
An exchange to one of our partner universities abroad, is not included in the program. This means it would extend your study program - it would come on top of
doelstelling
Next to the knowledge in data engineering, data analytics, decision-making, business development, and legal and ethical disciplines, you will be explicitly trained in a set of essential professional skills, such as creative thinking, communicating, presenting, negotiating, debating, interviewing, and pitching. You will be practicing these in the In Action courses with real-life data.
You will learn to create value for business and understand a lot better the practicalities of doing data science in a company.
You will start programming, learning and applying data science methods from day 1 of the master's. More than one year consists of practical experience that is extremely appreciated by future employers. This will allow you to launch your career in a way that cannot be achieved through a one-year master's program.
By engaging with the company stakeholders, you will learn to shape the problem definition and select and apply the methods that fit the problem - not vice versa.
In addition to the professional skills, you will be educated in academic skills, that will allow you to do your own research in the core scientific disciplines covered by the program.

Toelating en kosten

startmomenten

1 augustus 2023

aanmelding deadline : 1 augustus 2023
collegegeld nog niet bekend

1 augustus 2024

aanmelding deadline : 1 augustus 2024
collegegeld nog niet bekend

1 januari 2024

aanmelding deadline : 1 januari 2024
collegegeld nog niet bekend

toelatingseisen

vooropleiding
Technische bachelor opleiding

aanvullende vakeisen
Databases
Algorithms
Programming (at least one language, preferably Python)
Machine Learning / Data Mining

basiskennis
Minimum of 15 EC mathematics and statistics, of which at least 5 for each of them.

Inschatting maandelijkse studiekosten

bron: Nibud
bedragkostenpost
€ 293kamerhuur in Den Boschrond het landelijk gemiddelde
€ 22internet+tv
€ 152boodschappen/kostgeld
€ 32telefoon
€ 117verzekeringen
€ 172collegegeldop basis van € 2060 per jaar
€ 80studieboeken en -spullen
€ 29drinken/snoep/snacks
€ 77uiterlijkkleding, kapper, schoenen
€ 30contributies/abonnementen
€ 132vrije tijdstappen, uit eten, vakantie
€ 42vervoernaast de OV-kaart
€ 45overig
€ 1161totale maandelijkse uitgaven landelijk gemiddelde is € 1181
Hiernaast staat een overzicht van de gemiddelde kosten die een uitwonende student heeft. Niet iedere student heeft met iedere kostenpost te maken. Het totaalgemiddelde is dus niet gelijk aan de optelsom van alle kostenposten.

Bekijk ook de uitgebreide toelichting: wat kost studeren?

Studenten en studentenleven

studentaantallen

150 studenten volgen deze opleiding
33% daarvan is vrouw
81 eerstejaars gestart in 2022
25% daarvan is vrouw
11372 studenten aan de Technische Universiteit Eindhoven
25% daarvan is vrouw
bron: StudieData

Op kamers in Den Bosch

16438studenten studerend
4627studenten woonachtig   
€ 293gemiddelde kamerprijs
kamer betaalbaarheid
20 m2gemiddelde kameroppervlak
kamer beschikbaarheid
bron: Nationale Studenten Enquête

Keuzehulp

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Studievergelijker

1/3 TU Eindhoven
Data Science in Business and Entrepreneurship
€ 293 gemiddelde kamerhuur
81 eerstejaars
24% vrouw
? uur contacttijd/week
100% Engelstalig
> bekijk opleiding
2/3 Tilburg University
Data Science in Business and Entrepreneurship
€ gemiddelde kamerhuur
? eerstejaars
NAN% vrouw
? uur contacttijd/week
> bekijk opleiding
3/3 Tilburg University
Data Science in Business and Entrepreneurship (joint degree)
€ gemiddelde kamerhuur
? eerstejaars
NAN% vrouw
? uur contacttijd/week
> bekijk opleiding
disclaimer: bovenstaande cijfers en beoordelingen zijn aangeleverd door de opleidingen zelf. Wij kunnen de juistheid niet garanderen.
> uitgebreide vergelijking

Na de studie

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As a graduate of the master's Data Science in Business and Entrepreneurship, you have excellent career opportunities. You possess a deep scientific understanding grounded in practical experience from working on real-life cases. Together with a valuable professional network, you will be fully equipped to enter the job market with an ever-growing number of data science and AI-related vacancies. Not only in the Netherlands but also worldwide.
This ensures that career opportunities are endless. You can manage your own data science company, finding new markets and opportunities with data. Within an organization, you are the one who translates a variety of issues into technical data insights. You make sure this lands in the business, thereby improving its performance. ​Or you can work as a data consultant or analyst: from advising companies who want to know more about the purchasing behavior of their customers, to using big data supporting police crime detection work, to helping healthcare institutes share global data to fight diseases like Malaria. Another option is the EngD program Data Science, which is a two-year post-master's program. It qualifies students with an MSc degree in mathematics, statistic and computer science to become top-level professionals. Such professionals help industry and business with their decision-making processes based on real, actionable data or become innovative entrepreneurs.

Beroepsperspectief / arbeidsmarkt

As a graduate of the master's Data Science in Business and Entrepreneurship, you have excellent career opportunities. You possess a deep scientific understanding grounded in practical experience from working on real-life cases. Together with a valuable professional network, you will be fully equipped to enter the job market with an ever-growing number of data science and AI-related vacancies. Not only in the Netherlands but also worldwide.
This ensures that career opportunities are endless. Depending on the elective courses you choose, you can give color to your diploma by specializing into one of the following profiles: Data Engineer, Data Scientist, Data Entrepreneur/Consultant, or Data-Driven Researcher.
You can manage your own data science company, finding new markets and opportunities with data. Within an organization, you are the one who translates a variety of issues into technical data insights. You make sure this lands in the business, thereby improving its performance.
​Or you can work as a data consultant or analyst: from advising companies who want to know more about the purchasing behavior of their customers, to using big data supporting police crime detection work, to helping healthcare institutes share global data to fight diseases like Malaria.

aansluitende masteropleidingen

instellingopleidinginstroomeisen
TU EindhovenLeraar VHO Informatica educational+ aanv. eisen
bron: doorstroommatrix.nl

Potentiële beroepen

business analyst
business intelligence engineer
ceo/founder
data analyst
data consultant
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data scientist
machine learning engineer
bron: StudieData