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About the course
Big Data can provide important insights into business processes and uncover opportunities to cut costs and increase efficiency. Furthermore, data analytics enables organisations to effectively target specific audiences and to adapt product characteristics based on customer preferences. It can also be used to improve the decision-making process.
Yet, despite the immense potential of Big Data, many companies are blind to the value of the data they create. It is time for that to change - and our Data Science programme equips you with the skills to drive this change.
Entry Requirements
Studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics, including calculus, algebra, and mathematical statistics.
In some circumstances, relevant work experience may compensate for a lack of relevant degree. Such work experience should be justified in your letter of motivation.
Fees
Application Fee: A non-refundable application fee of 75 EUR
Registration Fee: A non-refundable deposit of 250 EUR
Please see the university website for further information on fees for this course.