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Preparing your educational journey
Tuition EUR 18,000 (Tuition (Full programme)) — International students; EUR 18,000 (Tuition (Full programme)) — EU/EEA students
Degree Master
Duration 12 months
Deadline 2025-06-18
Delivery On-campus
Location Bellaterra, Spain
Language English

Program Overview

The Data Science at Universitat Aut\xc3\xb2noma de Barcelona is a Master programme in Computer Science & IT over 12 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.

Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of computer science & it. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.

Graduates of the Data Science programme are well-prepared for careers in academia, industry, government, and the private sector across Belgium and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.

Key Program Features

  1. Duration: 12 months
  2. Language of instruction: English
  3. Study mode: On-campus
  4. Tuition: EUR 18,000 (Tuition (Full programme)) — International students; EUR 18,000 (Tuition (Full programme)) — EU/EEA students
  5. Location: Barcelona, Belgium

Career Opportunities

Graduates of the Data Science programme are prepared for diverse careers in computer science & it:

  1. Software Engineer / Developer
  2. Data Scientist
  3. Machine Learning Engineer
  4. IT Project Manager
  5. Cybersecurity Analyst
  6. Cloud Solutions Architect

Program Curriculum

Course Structure

  1. Statistical Modelling and Inference
  2. Deterministic Models and Optimization
  3. Data Warehousing and Business Intelligence
  4. Computing Lab
  5. Economics for the Era of Big Data3
  6. Mandatory
  7. Machine Learning
  8. Financial Econometrics
  9. Stochastic Models and Optimization
  10. Mihalis Markakis
  11. Data Visualization
  12. Quantitative Methods for Policy Evaluation
  13. Stochastic Finance
  14. Master project
  15. Topics in Big Data Analytics
  16. Social and Economic Networks
  17. Text Mining for Social Sciences
  18. Quantitative Methods of Market Regulation
  19. Public Policy in the European Union
  20. Topics in Big Data II

Admission Requirements

Academic Requirements

Application requirements:

  • An Undergraduate/bachelor/grado/laurea, or equivalent degree from an accredited college or university (for Bologna degrees, a minimum of 180 ECTS are required).
  • A typical applicant would hold a University Diploma in Economics, Finance, Engineering, Mathematics, Statistics or Business Administration. See our\xc2\xa0Student Profile\xc2\xa0for more detailed information.
  • An advanced level of English language skills
  • The GRE exam is highly recommended for applicants to all programs. For Data Science applicants, the GRE is mandatory.

Tuition & Financial Information

Tuition Fee

EUR 18,000 (Tuition (Full programme)) — International students; EUR 18,000 (Tuition (Full programme)) — EU/EEA students

Tuition fees: EUR 18,000 (Tuition (Full programme)) — International students; EUR 18,000 (Tuition (Full programme)) — EU/EEA students

Financial Aid & Scholarships

Contact Universitat Aut\xc3\xb2noma de Barcelona directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.

About Universitat Autónoma de Barcelona

Universitat Autónoma de Barcelona logo

Universitat Autónoma de Barcelona

Bellaterra, Spain

Universitat Autónoma de Barcelona is a distinguished institution of higher education committed to academic excellence, innovative research, and preparing students for leadership in their chosen...

University Profile
  • Application Deadline 2025-06-18
  • Start Date 2018-09-01
  • Language English
  • Duration 12 months
  • Credits 60