Masters in Data Analytics

The MBA in Data Analytics is one of the specialisations in our Master of Business Administration programme offered at Wittenborg University of Applied Sciences to full-time and part time students, with a 'tech' background, from the Netherlands and around the world.

Students will develop expertise in business and the administration and management of data analytics so that you can work with big data and combine data science with business management. The industry is always evolving, so alongside our international team of lecturers, we partner with industry experts to ensure that the content of the programme meets the needs of today’s dynamic and competitive business environment.

• a Bachelor degree or equivalent recognised qualification;

It is not necessary to have obtained a Bachelor degree from the domain of Business Administration, however in their degree students must have completed an academic piece of work (final project or dissertation) that shows a degree of academic writing and research experience.

• 3 years professional experience;

Applicants are requested to provide 2 reference letters from which at least one is a reference from a company or organization where they have worked before;

IELTS 6.5 or TOEFL Equivalent. Click here for an overview of the equivalent scores.
The TOEFL Code of Wittenborg is 4889.

You need to complete 90 credit hours to successfully obtain this degree. Please check detail of study units at https://www.wittenborg.eu/mba-data-analytics.htm

There is no specific selection procedure for students wishing to enter the MBA, however non-EU (visa) students are “screened” according to their background, in order for the institute to be able to guarantee their immigration status.

The screening comprises of an interview, collection and correlation of all IND required documents, including proof of sufficient funds, taking into account any scholarships provided by Wittenborg (Orange Tulip Scholarship, for instance) or by third parties (NUFFIC, EU, etc).

You can join one of the following careers:

• Data Analyst
• Data Scientist