Master's Degree in Data Science: Data Science Methodology Program

Program Director

faculty

David Rossell

PhD, Rice University and MD Anderson Cancer Center

UPF and BSE

Steering Committee

faculty

Christian Brownlees

PhD, University of Florence

UPF and BSE

faculty

Gábor Lugosi

PhD, Hungarian Academy of Sciences

ICREA-UPF and BSE

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Lorenzo Cappello

PhD in Statistics, Bocconi University

Assistant Professor, UPF

The digital revolution brings an explosion of data with significant value for businesses, science, and society. As data becomes larger and more complex, extracting useful quantitative insights becomes more challenging.

The BSE Master's Program in Data Science Methodology aims to train future leaders in the field with a deeper understanding of the underlying methods, along with the ability to develop techniques for new and/or non-standard problems.

The Master's prepares graduates to design and build data-driven systems in the private, public and research sectors. The curriculum guides students from modeling and theory to computational practice and cutting edge tools, teaching skills that are in growing global demand.

Data Science Methodology students will gain a solid knowledge of Statistics, Machine Learning theory and methods such as Reinforcement Learning and Deep Learning, Optimization and Computing. The program also prepares students to critically assess the validity and performance of existing methods, and to address potential limitations by developing new ones.This is designed to provide students with a key competitive advantage relative to the semi-automated application of data analysis methods. Students will learn how to apply classroom examples using real data and answering concrete questions from the perspectives of different sectors. Through an independent master's project or an industrial practicum conducted with local businesses or research teams, students have the opportunity to solve actual analytics problems hands-on.

Study with leading researchers and practitioners

A distinguishing factor of the program is the faculty team, with a strong international research and applied reputation spanning multiple fields: Statistics, Operations Research, and Artificial Intelligence. Our professors routinely publish in top research journals in these disciplines and received prestigious awards and research funding from agencies and the industry. These include the main funding agencies in Spain, the European Research Council, the USA, and the UK, leading technological companies such as Google and Accenture, and banks such as BBVA and CaixaBank. The program also invites guest speakers and entrepreneurs working at the frontiers of Data Science Methods and applications.

The new program director, David Rossell (UPF and BSE), is a leading researcher in statistical methodology who has been involved in a number of highly cited applied projects ranging from Biomedicine, Economics to Biochemistry. He held research appointments in Spain, the USA and the UK, and has led teams of applied data scientists at several institutions.

Is “Data Science Methodology" the right program for you?

We welcome students from different disciplines. The ideal candidates have graduated in programs with a solid mathematical basis, e.g. statistics, economics, mathematics, computer science, physics, or engineering. However, we also welcome candidates from other disciplines having excellent academic records, who wish to develop their data analysis abilities.

Our distinguishing feature is a focus on going beyond the application of data science methods (which is also an important component of the program), to actually provide students with a deeper understanding of their inner workings. The goal is that students learn the skills necessary to develop their own solutions for new problems, as is necessary in a constantly developing work and research environment. The program includes brushup courses in Statistics, Linear Algebra and Programming, to ensure all students have a sufficient technical background.


logoAccenture Data Science Scholarship

Accenture sponsors a full scholarship for one student in the BSE Master's Degree in Data Science.

Accenture scholarship criteria and details


 

PhD studies and BSE Data Science Center Scholarships

For students interested in furthering their theoretical and/or methodological studies, the Master's in Data Science Methodology presents an opportunity to continue on with PhD studies in Data Science in a dynamic, active research environment at Universitat Pompeu Fabra (program organized jointly with BSE).

Students who are interested in pursuing a PhD in Data Science should specify that in the statement of purpose they submit when applying to the BSE Master's program. The selected students will receive tuition waivers for their Master's studies and further funding support upon enrolling in the PhD program after completing the Master's. 

Read more about the PhD in Data Science on the BSE Data Science Center website

Opportunities may also arise where partial Data Science scholarships are available to students who engage in research activities related to Data Science theory or methodology, while pursuing their Master's studies at BSE. Such opportunities typically arise through a collaboration with one of our Data Science faculty.


Program schedule: 

The Data Science Methodology Program is organized around four pillars:

  • Statistical & probabilistic inference
  • Machine Learning and Artificial Intelligence
  • Optimization and Operational Research
  • Applications

The course offer displayed is for next year's edition. Course offer is subject to change.

Course list for current students

 

Master project

The master project is a required component of all BSE Master's programs. Working individually or in groups, students use the tools and knowledge they've acquired during the entire year to explore a topic of their choice. A professor supervises throughout the project.

Examples of master projects from recent Data Science cohorts

Select a project to view a summary on the BSE Voice, our student and alumni blog:

Recent cohorts

Class of 2023

Class of 2022


Master's degree awarded

Upon successful completion of the BSE Data Science Methodology Program, students will receive a Master's Degree in Data Science awarded jointly with Universitat Autònoma de Barcelona (UAB) and Universitat Pompeu Fabra (UPF).

All Barcelona School of Economics Master's degrees have been recognized by the Catalan and Spanish Education authorities within the framework of the Bologna Process (in Spanish, “Master Universitario o Master Oficial”).


What skills and knowledge will I acquire in this program?
  • Ability to develop new methodologies and algorithms
  • Expertise in modern computational, high-dimensional and simulation-based Statistics and Machine Learning
  • Research attitude towards Data Science with sufficient maturity and knowledge to continue developing scientifically for years after graduation
  • Solid evaluation of the opportunities of data-driven value creation within companies and organizations
  • Proficiency in database management systems and distributed processing in a cloud computing environment
  • Experience analyzing Big Data from the Internet of Things (industrial sensor data), the Internet of People (social and location data), and business transaction data
  • Effective communication of data analysis results through presentation and aesthetic charting skills
Who will benefit from this program?

Data Science students usually come from backgrounds primarily in Economics, Physics and Engineering. Successful candidates have strong interest in becoming developers of Data Science methodologies and algorithms, they are committed to remain up to date with current scientific developments in the field and have real interest in both the foundations of the field and real-life and large-scale applications

Student profile in more detail
Industrial Practicum

The industrial practicum is an in-depth analytics project that takes place during the final three months of the master. The practicum gives Data Science students the opportunity to complete a "deep dive" analytics project using real data from selected companies around Barcelona.

Students will dedicate 240 hours to the practicum, collaborating with companies on-site using real data to solve a specific challenge that requires the types of "skill bundles" they have acquired during the first two terms of the master program.

Companies that have expressed interest in offering practicum projects to BSE students include commercial banks, consulting firms, mobile application developers, risk analysts, and online retail platforms, among others. The industrial practicum is subjected to the availability of positions offered by the participant organizations, and to the requirements they establish, including a selection process (which is out of the scope of Barcelona School of Economics).

This is an example of some of the companies collaborating with the industrial practicum * 

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*This is subject to change depending on the companies' offers.

Sample practicum project titles

  • Skill Assessment of Seasonal Temperature and Precipitation Forecast over Europe
  • Client Clusterization Among Banking Clients
  • Voice Feature Analytics for Early Detection of Parkinson Disease in Speech
  • Player Retention in Mobile Gaming: Social Interactions
  • Optimizing Transport Simulation Systems
  • Smart Tourism
  • Volatility Clustering for Financial Risk Management
  • Augmenting Mobile Phone Data with Public Data for Credit Scoring
  • Dimensionality Models and Optimization of Network Distributions
  • Redundancy in Government Documents
Who hires Data Science Methodology graduates?
  • Research and Academic Institutions
  • Tech Firms
  • Financial Services
  • Consulting Firms
  • International Organizations and Non-profits

Examples of recent professional placements:

  • Accenture - Data Analyst (Barcelona, Spain)
  • Buynomics - Data Scientist (Barcelona, Spain)
  • Deloitte - Analyst - Data Scientist (Helsinki, Finland)
  • European Central Bank (ECB) - Trainee in the DG Monetary Policy (Frankfurt, Germany)
  • FMO (Dutch Development Bank) - Impact Data Specialist (Amsterdam, Netherlands)
  • Glovo - Data Engineer (Barcelona, Spain)
  • Google - Cloud Technical Resident (Dublin, Ireland)
  • Novartis - Advanced Analytics Specialist (Barcelona, Spain)
  • UK Civil Service, Department for Business, Energy & Industrial Strategy - Data Science Intern (London, United Kingdom)
  • World Bank Group - Research Assistant (Washington, DC, United States)

Alumni career paths in more detail

Faculty

Students

Data Science Methodology Student Profile 2023-24

19 students from 9 countries (79% international)

Most represented countries this year:

  • Spain (4 students)
  • Germany, United Kingdom, United States (3 students each)

Most common academic backgrounds:

  • Economics and Finance
  • Mathematics
Chart displays years of work experience. 5 students have 0-1 years of experience. 6 students have 1-2 years of experience. 4 students have 2-4 years of experience, and 4 students have 4+ years of experience.

Alumni

Data Science Methodology alumni career paths

An overview of Data Science Methodology career paths for recent cohorts (Class of 2020, 2021, 2022)

  • Most common job titles:
    Data Analyst, Data Scientist, Consultant
  • Most common industries:
    Research and Academic Institutions, Technology, Financial Services
  • Cities with most Data Science alumni:
    Barcelona, Amsterdam, Frankfurt, Zurich, London
Chart Data Science Methodology Program placement by industry
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    Max Mueller '20

    Master's Student in Physics
    Originally fromGermany
    Currently living inGermany
    With a background in Physics, I chose this Master's mostly because I wanted to understand what is going on behind the Machine Learning and Data Science tools that are a big part of everyday life for many scientists.
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    Maria Salunina '20

    Data Scientist
    Originally from
    Moscow
    Russia
    Currently living in
    Barcelona
    Spain
    A distinguishing feature of this intensive program is that it requires a great deal of independent research in teams, which resembles the natural business environment. This teaching approach allows students to develop into professionals who are able to find efficient solutions for different and unfamiliar problems...
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    I Vivek Kai-wen '20

    Originally fromSingapore
    Currently living inSingapore
    The programme’s strong focus on introducing the mathematical tools in areas like statistics and optimization was absolutely crucial to my understanding of Data Science methods and empowered me to choose the right set of tools each time...
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    Aron Pap '20

    Visiting Student
    Originally fromHungary
    Currently living inHungary
    The program facilitated intense teamwork which truly acted as a “catalyst” for learning. I gained important knowledge through interacting with my classmates, who came from a wide range of academic backgrounds. They motivated me throughout the program and collaborating with them made the whole year a lot of fun as well...
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    Yabra Muvdi '20

    Originally fromColombia
    Currently living inSpain
    I never thought I could learn so much in such a short time. The Master's in Data Science at BSE was an exciting and fast-paced opportunity for me to acquire foundational knowledge in a broad range of subjects...
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    Felix Adam '19

    Junior Data Scientist
    Originally fromGermany
    Currently living inGermany
    Looking back at my year at the BSE, I wish that it didn't fly by as fast as it did. There were so many exciting things to learn and discover, be it in statistics, machine learning or in and around Barcelona, that it felt like the Masters was over before it even started. Sure, the program was truly challenging but also immensely rewarding. Most importantly, I realized that Data Science is a fluid field, for which the Masters provides an excellent foundation enabling me to continue learning and pushing my own boundaries. Academically the program covers a wide array of topics, allowing everyone to find and thrive in their own field of interest. Personally, I found my passion at the intersection of data- and life sciences through a project at the BSE Data Science Center, which ultimately led me to transition into this exciting area...
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    Hannah Busshoff '19

    Full time graduate student of Economics
    Originally fromGermany
    Currently living inGermany
    For me, the BSE Data Science master’s was a game-changer. The program taught me the foundations of Data Science, equipping me with the necessary tools to make a thoughtful and modern empirical analysis. Importantly, the inspiring courses and faculty raised my curiosity and ambition to identify and explore novel avenues to integrate machine learning and artificial intelligence into economic research. The program also gave me the confidence to code. Having studied economics before, I had no significant exposure to programming. Now, I look for algorithms I can implement, or for some interesting internet data, I can web scrape...
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    Maia Brenner '19

    Data Scientist
    Originally fromUruguay
    Currently living inUruguay
    The Master's in Data Science at BSE was a turning point in my career. It allowed me to expand my field of competencies in statistics and programming. Without a doubt, it was an intensive and demanding program but absolutely rewarding, made even more so by the fact of fostering extraordinary friendships with ambitious students from the most diverse backgrounds. After the master, I was flooded with job offers and decided to work at a leading consulting firm specialized in Machine Learning and AI solutions.
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    Jie Hao Kwa '18

    Data Scientist
    Originally fromSingapore
    Currently living inSingapore
    The BSE Data Science masters was without a doubt the most academically rigorous and intense period I've experienced. It provided me with a very solid foundation to approach and solve problems in a statistically sound way. Personally, I feel like I've gained lifelong friends in my fellow coursemates and professors, who helped me and supported me emotionally and academically throughout what was a very challenging year. Professionally, it equipped me with the skills I needed to make a switch and pursue a career in Data Science. In addition, the practicum programme provided good networking opportunities - I found my current job through one of the Data Scientists at Schibsted, a practicum partner to the BSE programme, who was looking to hire for his new firm.
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    Kinga Ritter '18

    Analyst
    Originally from
    Budapest
    Hungary
    Currently living in
    Barcelona
    Spain
    ...Not only our faculty was inspiring, but my classmates were all original, extremely clever and diverse people. I have never been in such a great group of people, and I truly believe that one of the most unique attribute of the program is the people (both faculty and students) that it brings together. The program was designed in a way that it always encouraged cooperation among us, and it never turned into a competition. We suffered a lot together, helped and inspired each other, laughed, partied and still keep in touch...I believe that working with data and data science is not only a set of skills that one can acquire on the go. It is a rather a mindset of understanding problems, forming questions and figuring out a solution. The program at BSE keeps that in focus by providing strong theoretical foundations that gave me a professional confidence...
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    Richard Knudsen '18

    Data Scientist
    Originally fromGermany
    Currently living in
    Barcelona
    Spain
    For me the time at BSE was truly amazing. Besides receiving excellent academic training in Data Science I gained much from working with such talented, motivated and passionate professors and students on a daily basis. I never thought that learning this much in just 9 months was actually possible – experiencing that it motivates me every day now to push myself a little more. Moreover, it was often fun (despite being exhausting), I made some really good friends and fell in love with beautiful Barcelona.
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    Travis Dunlop '18

    Data Analyst
    Originally fromUnited States
    Currently living inUnited States
    Living in Barcelona for a year was a dream. Through the program I gained confidence in applying data science to real world problems and worked with talented and thoughtful machine learning researchers. But, what made me happiest was the friendships I fostered with like-minded ambitious people from around the world.
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    Michele Costa '18

    Quantitative Research Analyst
    Originally fromItaly
    Currently living inUnited Kingdom
    I pursued the Data Science master at BSE in a moment when I needed to step up my level of quantitative analysis and research. It has the peculiarity of a small student cohort, which gives a great boost to the interaction with the faculty and all other classmates. With the current hindsight, I can say that the Data Science master provided me enough plug-in tools to make a direct contribution in the work environment, as well as theoretical framework to look at less trivial problems. I learnt a great deal from my classmates about thinking out of the box and helping the team and friends succeeding.
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    Laurits Marschall '18

    Trainee
    Originally fromGermany
    Currently living inGermany
    The master taught me first and foremost how to conquer knowledge myself and a way-of-thinking. The field of Machine Learning is extremely dynamic, therefore, the skill to teach yourself is much more valuable that actual knowledge. In the end, working under constant pressure without losing enthusiasm, still enjoying life, and building up amazing friendships was the mixture for a fantastic year...
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    Matthew Keys '18

    Statistician, CRES-UPF
    Originally fromUnited Kingdom
    Currently living in
    Barcelona
    Spain
    The Master's in Data Science is an exceptional program. World class experts and a gold standard curriculum aside, it demands creativity and encourages exploration of individual interests in both technical skills and applications. The result is an incredibly inspiring and collaborative environment where you are pushed to use and combine individual strengths to innovate, and learn not only from the lecturers but also your peers. In the end everyone graduates with unique but equally impressive skillsets and initiate their careers in a highly diverse array of fields. I really look forward to continuing to learn from the people that I shared the most rewarding year of my life with yet.
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    Robert Lange '17

    Researcher
    Originally fromGermany
    Currently living inGermany
    The BSE Data Science Master’s program enabled me to follow my dream and to transition from Economics to Computational Neurosciences. The program provides the perfect structure to acquire deep theoretical insights as well as fundamental skills required to execute a complete data-driven project. BSE's unique learning environment, selection of outstanding students as well as the world leading expertise of the faculty provide an unforgettable experience in one of the worlds most exciting cities. I recommend the program to anyone who is hard working and fascinated by pattern recognition as well as scalable automated solutions.
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    David Rosenfeld '17

    Economist
    Originally fromUnited Kingdom
    Currently living inUnited Kingdom
    The Master's in Data Science provided me with tools to conduct economic analysis with cutting-edge data analysis techniques. I really appreciated the possibility in the BSE Master's to explore the topics that we found most interesting, and work on collaborative projects which made clear the practical implications of what we learned. A big plus was also that the teaching staff encourage collaboration over competition, which is particularly nice given the diversity of student backgrounds.
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    Hans-Peter Hoellwirth '17

    IT Project Manager
    Originally from
    Linz
    Austria
    Currently living in
    Linz
    Austria
    As someone with an IT background who already took some machine learning courses in my bachelor degree at the University of Edinburgh, the BSE data science program mainly attracted me because of its well-balanced mix of statistics, applied IT, and economics - something I didn’t find in any other program at that time. I enjoyed many aspects of the program - the variety of offered courses, the close contact with the professors and lecturers, and fellow students from with so many different backgrounds and nationalities you become friends with. Even though I am currently not (yet) working as a data scientist, I still feel I can apply much of the obtained skill set in my current job and even in my daily life, for example to critically question conclusions someone has drawn based on some data, to visualize data in a way that effectively conveys information, or simply to understand the value and potential of a given data set.
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    Michael Cameron '17

    Trading Analyst
    Originally fromUnited Kingdom
    Currently living inUnited Kingdom
    The program is not easy! But it is incredibly rewarding. I arrived with little background in statistics, computing or economics but the fast paced and challenging nature of the course meant that I came out the other side having learnt a wide range of topics, in detail, which I had never covered before...The program completely opened up a new area of employment that I hadn't previously even considered. I now feel confident and excited by the direction of my career path which started at the BSE. There is also an incredible careers service within BSE, who are always available to give useful advice and guidance.
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    Davide Viviano '17

    PhD Student
    Originally fromItaly
    Currently living inUnited States
    The Master's in Data Science at BSE had a positive impact from an academic and personal perspective and it gave me a strong competitive advantage as a Ph.D. student in Economics. As a social scientist, I gained a set of incredibly useful tools for research in applied fields. As a statistician, I acquired knowledge and, more importantly, the language useful for more theoretical-oriented research. Today I collaborate with faculties and students in different departments and the ability to speak the different languages of statisticians, computer scientists and social scientists is a powerful tool that only this master could give me...
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    Akhil Lohia '17

    Data Scientist
    Originally fromIndia
    Currently living inIndia
    The Master's in Data Science was a great learning experience for me. The classes had a rigorous mix of in-depth theory behind machine learning and statistical models as well their practical applications and how to deal with real world datasets. The well-rounded course structure encompassed the breadth of modern data science from basic statistics all the way to NLP and deep learning which makes this program unique...
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    Sarah Inman '16

    PhD Student
    Originally fromUnited Kingdom
    Currently living inUnited States
    The BSE Master's in Data Science gave me solid practical skills in statistics and computing that have proved enormously helpful in pretty much every project I have worked on since then...Since the program, I worked for two years at a research institute combining public policy and data science, and I'm now doing a PhD at Columbia University. In my research I am hoping to combine the data science I learned on the Master's with the social science that I learned during my undergrad to come up with some innovative solutions to problems in the field of sustainability.
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    Guglielmo Pelino '16

    PhD Student
    Originally fromItaly
    Currently living inItaly
    ...The Barcelona days have helped me in understanding more about myself, my ambitions and future plans. Academically, I am very happy to have chosen this course, because I am convinced that it completed my formation in a quite unique way. I really enjoy studying per se, so I value the Master even at a purely cultural level. On a professional point of view, I feel that I still did not exploit fully the potential knowledge and expertise gained at BSE, due to the fact that with my PhD studies I came a bit back towards theoretical Math. At the same time though, I used some theoretical knowledge acquired at BSE both in my research and for teaching purposes...
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    Aimee Barciauskas '16

    Data Engineer
    Originally from
    Seattle, WA
    United States
    Currently living in
    Washington, DC
    United States
    I chose the BSE Master's in Data Science because I was impressed by the faculty and the program of courses. It was important to me the program emphasized mathematical theory. It’s relatively easy to teach yourself data visualization, coding and to apply different machine learning algorithms - so I knew it was important to focus on the “hard stuff” while in school. For me this would be the mathematical theory and proofs behind why the models and methods work.
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    Thomas Vicente '16

    Machine Learning Engineer
    Originally fromFrance
    Currently living in
    Barcelona
    Spain
    The program was a great occasion to meet people who are also passionate about finding the proper answer to complex mathematical and computational problems. I am still often in touch with some of them. I believe the program in one year gave us strong theoretical foundations, and allowed us to be autonomous in research or engineering environments. I was involved in many projects including my master thesis, on what I believe was an innovative subject. These works played a big role for many job interviews after the master.
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    Gaston Besanson '15

    Global Head of Data Science, Data + Analytics
    Originally from
    Buenos Aires
    Argentina
    Currently living in
    Barcelona
    Spain
    I was part of the first cohort from the Master's in Data Science (2014-2015). It allowed three things: 1) time for the Data Science market and how it will evolve in the next 3 years, thanks to its holistic approach, merging methodologies, techniques and technologies 2) Go beyond just implementing (coding) ML solutions for problems, by allowing me to push at the same time for theoretical and methodological soundness. 3) Provided new friends (fellow alumni from that first cohort) that I have the pleasure to enjoy in my everyday life at my current job.
  • Every great thing starts a little scary, doesn't it? It seems like only yesterday I was stepping into the BSE study room for the first time, and also just like yesterday that I heard my name called for the master thesis presentation. But what I have so vivid in my memory is the hope that this master would change my career path. And it did. Attending the Data Science master courses gave me the right mix of skills that any employer would value. Not long after graduating, I found myself with 5 very interesting job offers to choose from, any one of which would have given me the opportunity to dig deeper into machine learning, text mining, data visualization, and the statistical techniques I studied at the BSE. If I had the chance, I would do it all over again!
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    Anestis Papanikolaou '15

    Data Science Lead
    Originally from
    Thessaloniki
    Greece
    Currently living in
    London
    United Kingdom
    ...Although there are nowadays plenty of data science programs and online courses for someone to get a training on the field, I found BSE's approach to Data Science unique, namely the combination of robust statistical/ML theory, optimization and economics, with additional lectures on how to apply Data Science in practice. The basics of ML/Stats are essential but the optimization and economics behind data science is what really distinguishes the BSE Data Science Master, offering a profound background on how to develop the models, but also how to use them to take the most meaningful decisions in the optimal way depending on the context, and for this reason, the BSE Data Science master is a category on its own...
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    Sílvia Ariza '15

    Data Scientist
    Originally from
    Lleida
    Spain
    Currently living in
    Mexico City
    Mexico
    Right after graduating from the Master's in Data Science I had a wide variety of job offers as a data scientist. The data sector is growing quickly, and many companies in Barcelona are starting to realize how important it is to have a Big Data department. It was very encouraging to see that my efforts were so recognized.
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    Zsuzsa Éva Holler '15

    Data Scientist, e-marketing company
    Originally fromHungary
    Currently living inHungary
    The reason I applied to the Data Science program is because I wanted to make a career shift. I felt that with all the hype around data science I needed a structured way to gain real knowledge in the field. I believe that the program was a perfect fit for me. Both the theoretical knowledge and practical skills I gained were exactly what I aimed for. We were challenged by the professors constantly and there was also a healthy amount of competition but the experience I gained made it completely worth the effort. A huge plus for me was that I got to do my internship at Telefonica Research which was an amazing place to learn about cutting-edge deep learning research. Also, I loved to live and be a student in Barcelona.