Вступительные требования
A secondary school diploma that is considered to be equivalent to the Dutch pre-university (vwo) diploma on the condition that the student has passed the final examinations in mathematics. Students should submit one of the following as proof of English proficiency:
An original Academic IELTS score of at least 6.5 on average (and a minimum of 6.0 for each section), or;
TOEFL Internet-based with overal score of at least 90 and a minimum score of 21 for each section.
Students can arrange for their TOEFL results to be sent to the TU/e directly by using the TU/e university code number 8615, Please also fill in department code 99: 'any department not listed' otherwise your results will not be sent to correct department at TU/e, or;
University of Cambridge Certificate of Advanced English (CAE) (grade A) or Certificate of Proficiency in English (CPE) (grades A-C).
| Форма обучен. |
Начало |
Продолж. |
Стоимость иностран. |
Период оплаты |
Академ. год |
| Форма обучен.Дневное |
Начало сен |
Продолж.Кол-во лет: 3 |
Стоимость иностран.€10000 |
Период оплатыAcademic year |
Академ. год2017 |
Data Science is a new engineering discipline and the main driver for innovation in the years to come. Just like computer science emerged as a new discipline from mathematics when computers became available, we now see data science as a new discipline driven by the torrents of data available today. The data scientist will be the engineer of the future and scientific research and innovations will be data driven.
Data is collected about anything at any time, at any place. The ultimate goal is not to collect more data but to turn it into real value. Data can answer questions that have never been asked before. Visualization of data can really help discovering remarkable patterns that were never noticed before.
In this English-taught program you learn to analyze the large amounts of data that today's society operates on.
You learn to spot trends for businesses, government agencies or nonprofit organizations.
Besides the technical side, you will also focus on societal issues, such as legal, social, ethical, business, and entrepreneurial issues which relate to Data Science.
