Program Overview

Introduction to the Program

The Grau en Enginyeria Matemàtica en Ciència de Dades, or the Degree in Mathematical Engineering in Data Science, is a comprehensive program designed to equip students with the knowledge and skills necessary to interpret and analyze the vast amounts of data generated by our society. This program is part of the Escola d'Enginyeria at the Universitat Pompeu Fabra (UPF) and is tailored to meet the demands of a rapidly evolving technological landscape.

Program Details

• Duration: The program lasts for four academic years.
• Places: There are 40 new places available for the first year.
• Price: The indicative price for the first year for students from the European Union is 1,248.52 €.
• Admissions: Information on how to access these studies is available.
• Branch of Knowledge: All degrees from the Escola d'Enginyeria are part of the engineering and architecture branch of knowledge.
• Schedules: The first year is in the morning, the second year is in the afternoon, and the third and fourth years are both morning and afternoon.
• Calendar: The academic year runs from late September to early July.
• Credits: The program consists of 240 ECTS credits.
• Languages: The program is taught in Catalan, Spanish, and English. Students have the option to choose a group in Catalan/Spanish or English for the first and second years. Most subjects in the third and fourth years and electives are taught in English.

Presentation

The program is designed to address the challenge of interpreting the large volume of data generated by society. It integrates knowledge and competencies that go beyond traditional engineering and disciplines, providing a unique profile that combines mathematical and computational skills to analyze and extract knowledge from large datasets.

Data and Indicators

• The program has a duration of 4 years with 40 new places available for the first year.
• Between 2020 and 2023, the total number of enrolled students remained around 180-230, with a gender ratio of approximately 40%-60% (women-men).
• The cut-off mark increased from 11,829 to 11,886 during these years.
• The academic performance rate oscillates between 90.58% and 92.90%, with a success rate of credits passed between 93.54% and 94.39%.

Study Plan

• New Study Plan: Starting from the 2025 academic year, a new study plan for the Degree in Mathematical Engineering in Data Science will be implemented.
• Each subject has its own teaching guide, and each year, the list of elective courses is published.

Practices

• The study plan includes optional practices in external companies starting from the third year.
• The practices are supervised by the university and have three main objectives: to apply and complement the knowledge acquired, to bring the student closer to the professional reality, and to develop competencies that facilitate incorporation into the job market.
• In the Degree in Mathematical Engineering in Data Science, there are 84 companies and organizations where 229 students have done practices over the last three years.

Stays Abroad

• The study plan includes optional stays abroad starting from the third year.
• The Escola d'Enginyeria has mobility agreements with major European universities, as well as universities in the USA, Canada, Korea, Australia, Brazil, and Mexico.

Professional Outlets

The Degree in Mathematical Engineering in Data Science offers multiple professional outlets in a field that encompasses a wide range of technological sectors. Some of the main job opportunities for graduates include:

• Data Analyst
• Specialist in Machine Learning Algorithms
• Software Developer
• Engineer in Artificial Intelligence
• Big Data Consultant
• Digital Analyst
• Developer of Big Data
• Marketing and Advertising
• Digital Industries
• Research and Innovation
• Data Analyst in Smart Cities

Testimonials

• Queralt Zamora, a fourth-year student, says, "Thanks to the Degree in Mathematical Engineering in Data Science, I had the opportunity to do an internship at NTT Data in the finance sector. This experience allowed me to work with massive data and face real challenges, reaffirming that data is a fundamental tool to transform the future."
• Marc Bosch, a second-year student, comments, "The degree focuses on understanding mathematical language and the world of programming. It's a very practical degree where all subjects are interrelated."

Teaching in English

• Students can choose to take 100% of the courses in English or have them in Catalan, Spanish, or English depending on the subject.
• From the third year onwards, teaching is in English.
• It is recommended to have a level equivalent to B2 of the Common European Framework of Reference for Languages (approximately equivalent to the First Certificate in English) to follow the courses in English.

Cut-off Marks

• The latest published cut-off mark for the Degree in Mathematical Engineering in Data Science is 11,526.

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