Что я буду изучать?

The Data Science Master’s offers a unique two-year academic programme, where students study data science, innovation and entrepreneurship at two different leading European universities.

Study objectives

The Data Science Master’s offers a unique two-year academic programme, where students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data-processing techniques and data-analysis methods. They learn how to use and develop a suite of tools and technologies that address data collection, cleaning, storage, transfer, analysis, visualization, and related concepts.

At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model. These additional entrepreneurial skills will give students their ticket to a successful career.

Career opportunities

Data science is a highly innovative area. The data scientist simultaneously masters scalable data management, data analysis, and domain-area expertise to extract key knowledge from the data and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government, and non-profit organizations.

Study programme

The first year will be similar at all eight DSc entry point universities: Aalto University, Technical University of Eindhoven (TUE), The Netherlands, Royal Institute of Technology (KTH), Sweden, Technical University of Madrid (UPM), Spain, Université Côte d’Azur (UCA), France, Polytechnic University of Milan (POLIMI), Italy, University Paris-Sud (UPS), France, and Eötvös Loránd University (ELTE), Hungary with foundation courses in

  • data handling,
  • data analysis,
  • advanced data analysis and data management,
  • visualization, and
  • applications.

An important part of the programme are also the Innovation and & Entrepreneurship (I&E) courses.

During the second year of studies, the student chooses a spesialisation option offered in one of the nine exit point universities: Aalto University, Technical University Eindhoven (TUE), The Netherlands, Technical University of Berlin (TUB), Germany, Royal Institute of Technology (KTH), Sweden, Technical University of Madrid (UPM), Spain, Université Côte d’Azur (UCA), France, Eötvös Loránd University (ELTE), Hungary, University Paris-Sud, France, and University of Trento (UNITN), Italy. The specialisation option offered at Aalto University is Machine Learning, Big Data Management, and Business Analytics.

На каком факультете я буду учиться?

School of Science

Варианты обучения

Очная (2 лет)

Цена
€15,000.00 (1,252,087 руб) за 1 год
Начало обучения

Предполагаемое начало: Сентябрь 2022

Где

Aalto University

Otaniemi Campus,

Otakaari 24,

ESPOO,

Uusimaa,

02150, Finland

Вступительные требования

Для студентов, проживающих в Соединенных Штатах

Applicants should hold a Bachelor's degree equivalent of 180 ECTS credits or more to be eligible to apply. The degree must be of at least three years of full-time studies. The degree from a foreign university must in the awarding country give eligibility for corresponding Master’s level studies. An applicable degree may also be an internationally accredited university level MBA program. English Language Requirements: IELTS (Academic IELTS only) Overall Band Score 6.5 and Writing Band Score 5.5; Pearson Test of English Academic (PTE A) Total Score 59 and Writing Score 50; TOEFL IBT (Internet-based Test) Total Score 92 and Writing Score 22 or PBT (Paper-based Test) Total Score 580 and Writing Score 4.0 or PDT (Paper-delivered Test) Reading 22, Listening 22 and Writing 24; CAE/CPE (CAE = Cambridge Certificate of Advanced English, CPE = Cambridge Certificate of Proficiency in English) - Grades A, B, C.

Для иностранных студентов

Applicants must have an appropriate Bachelor´s degree or an equivalent qualification.

English language requirements

  • IELTS (Academic IELTS only) - Overall Band Score: 6.5; Writing Band Score: 5.5
  • TOEFL - Total score: 92 (IBT), 580 (PBT); Writing score: 22 (IBT), 4.0 (PBT); PDT reading section 22, listening section 22 and writing section 24
  • CAE/CPE (CAE = Cambridge Certificate of Advanced English, CPE = Cambridge Certificate of Proficiency in English) - Grades accepted: A, B, C
  • Pearson Test of English (PTE Academic only) - Total score: 59; Writing score: 50

Требования к IELTS могут отличаться в зависимости от выбранного курса

ДОБАВИТЬ В ШОРТ-ЛИСТ

Оставайтесь на связи