Data Science in Business and Entrepreneurship (joint degree)

Universitetas
Tilburg University
Miestas, šalis
Tilburg, Netherlands
Studijų trukmė
2 m.
Programos sritys
Data Science & Big Data, Entrepreneurship
Studijų kaina
2530.00 EUR
Studijų kalba
English (ENG)
Laipsnis
Master
Programos pradžia
2024-09-01
Stojimo pabaiga
2024-04-15
Apie programą
Stojimo reikalavimai
Karjeros galimybės
Learn to use data science to develop innovative activities for established corporations and promising start-ups by using real-life assignments from partner organizations. Become a data engineer, data scientist, data entrepreneur or data consultant, or prepare yourself for a career as a data-driven researcher. The Master Data Science in Business and Entrepreneurship combines the technological know-how of Eindhoven University of Technology with Tilburg University’s business, legal and societal insights.

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.

The Master Data Science in Business and Entrepreneurship (DSBE) focuses on the tools and skills you need in order to analyze data used by today’s businesses and turn this into meaningful insights. You’ll acquire the skills and gain the experience you need to evolve into a well-rounded data scientist. You’ll learn by doing: using real business data and case studies based on data-driven issues.

Benefit from the combination of Tilburg University’s business, legal and societal insights with the technological know-how of Eindhoven University of Technology:

  • In almost all courses you apply data science techniques.
  • You can do more than one year of coursework in collaboration with businesses providing real-life data challenges.
  • Study and work as part of a close-knit and interactive community of students, researchers and companies on Tilburg University's dedicatedJADS (Jheronimus Academy of Data Science)campus in ‘s-Hertogenbosch.
  • Benefit from the support and encouragement by JADS Playground & MKB Datalabwhen starting your own business.

Typical courses are:

  • Data Engineering
  • Data Mining
  • Deep Learning
  • Strategy and Business Models
  • Natural Language Processing
  • Interactive and Explainable AI Design
Reikalaujamas išsilavinimas

Į magistro studijų programas gali stoti visi, baigę universitetą arba besimokantys paskutiniame kurse. Studijos kurias baigei ar tebesimokai turi būti panašios krypties kaip ir tos, į kurias nori stoti, kadangi priėmimas yra paremtas ECTS kreditų suderinamumu.

  • ECTS kreditų išrašas - jei dar nesi baigęs aukštosios mokyklos, būtina prisegti ECTS kreditų išrašą, kuriame būtų matyti, kokius dalykus Tu mokeisi bei kokius pažymius ir kiek kreditų už juos gavai. Kai siunti anketą paskutiniame kurse, diplomą reikia prisegti vėliau, kai tik jį gausi.
  • Bakalauro diplomas – jei jau esi baigęs aukštąją mokyklą, išrašo nereikia, užtenka prie anketos prisegti savo Bakalauro diplomą.

 

Anglų kalbos reikalavimai

SVARBU: anglų kalbos testo sertifikatą privaloma pateikti kartu su visais dokumentais, atsiunčiant anketą. Universitetas nesvarsto stojimo anketų be anglų kalbos testo rezultatų, todėl sertifikatą privaloma pateikti iki stojimo pabaigos. Anglų kalbos žinias gali patvirtinti vienu iš šių būdų:

  • IELTS – 6.5, ne mažiau nei 6.0 iš kiekvienos dalies
  • TOEFL – 90

 

Svarbūs reikalavimai

1. The following BSc programs meet the BSc-level entry requirements and can be directly admitted to the Joint Master's Program Data Science and Entrepreneurship:

  • Applied Mathematics

  • Applied Computer Science

  • Computer Science

  • Data Science

  • Econometrics

In case of similar international BSc programs, admission will be checked by the admission committee.

2. Students with a BSc-level diploma in one of the following disciplines may be eligible to be enrolled directly into the Joint Master's Program Data Science and Entrepreneurship:

  • Industrial Engineering

  • Artificial intelligence

  • Business Informatics

  • Business & IT

  • Information Science

  • Lifestyle Informatics

  • Software Engineering

  • Software Science

  • Innovation Sciences

  • Web Science

  • Business Information Management

Mandatory electives or Pre-Master's program

Admission depends for example on exactly which electives have been chosen in the respective programs and will be checked by the admission committee.

​Depending on the 'match' with the entry requirements, students may be either directly admitted to the Master's Program with mandatory electives to follow, or be allowed to the Pre-Master's program.

Kiti reikalavimai

A Bachelor or Master degree in Communication and Information Sciences, Public Administration, Global Law, International Business Administration, Economics, Sociology, Organization Studies, Psychology, Liberal Arts and Sciences (major Business and Social Sciences), Business informatics or a relevant discipline.

As a graduate of the Data Science in Business and Entrepreneurship master, 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.

Graduates of the Master Data Science in Business and Entrepreneurship work as data engineers, data scientists, data analysts, data entrepreneurs, data consultants, or PhD candidates.

Some examples of our graduates’ jobs

  • Data Scientist at KLM
  • eCommerce Lead at PepsiCo
  • Data Engineer at ASML
  • Business Intelligence Expert at Amazon
  • CEO at Bluetick