Вступительные требования
A B.Sc. degree in electrical engineering/ electronics, computer engineering, computer science or information technology is required. The studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics. An overall band score of at least 6.5, with no section lower than 6, is required. IELTS-tests are verified online by the Admissions office, submitting a photocopy of your test together with your application documents is therefore sufficient. A total score of at least 92 (with writing section 22) is required. English test results from TOEFL should be sent directly from the ETS test center to EIT Digital Master School (institution code: 0210). Examinee score reports or photocopies are not accepted. Certificate in Advanced English (CAE): grades A- C are accepted.
Certificate of Proficiency in English (CPE): grades A- C are accepted.
Форма обучен. |
Начало |
Продолж. |
Стоимость иностран. |
Период оплаты |
Академ. год |
Форма обучен.Дневное |
Начало сен |
Продолж.Кол-во лет: 2 |
Стоимость иностран.€10000 |
Период оплатыAcademic year |
Академ. год2017 |
Technological and societal changes led to an explosion of digitally available data. Exploiting the available data to its fullest extent, in order to improve decision making, increase productivity, and deepen our understanding of scientific questions, is one of today's major challenges. Data science is an emerging discipline that aims to address this challenge. As technologies in data science mature, so too will our ability to insightfully arrive at accurate and timely solutions to today’s burgeoning questions. However, this will require Data Scientists to provide the required expertise to make this vision come to fruition.
The newest EIT Digital Master Program in Data Science offers graduate students the opportunity to gain valuable knowledge and skills in a field deemed by the Harvard Business Review as the “… sexiest job of the 21st century.” Our program offers graduates the chance to acquire solid grounding in data collection techniques, scalable data analysis methods, domain area expertise, and how to best communicate findings to the general public. This is an opportune time to pursue training in both a challenging and rewarding new field. Join us and embark on a journey of a lifetime.