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Studies
Admissions
The Institute
Resources
Studies
Admissions
The Institute
Resources
BARCELONA / BACHELOR

Data Science

Get ready for the Petabyte and learn what we can do with it.
Duration
3-4 Years
Location
BCN
Language
English
Type
Bachelors
Commitment
Full-time
ECTS
180

OFFER

WOMEN IN TECH

Save €5,000 in tuition

by enrolling before March 31stLearn More

Overview

The Data Science BSc programme sets out to develop the skills needed to cut through the deluge of data we’re dealing with on a global scale. Students learn to cut through the noise and employ automated analytical tools to create useful knowledge out of big data.

ROLLING ADMISSIONS — START ANYTIME!

We welcome you to start your transformative journey with us, no matter the season. With year-round admissions, you can join our Barcelona intake every three weeks or plan for our fixed start dates in Bangkok. Choose the timing that works best for you!

Application Period

Year Round

Start Date

Every Three Weeks

TWO MODES OF STUDY

Choosing to study a Applied bachelor's is a big step and commitment. At Harbour.Space, we offer two study modes to fit different goals and paces. Whether you prefer

APPLIED BACHELOR

4 years/Full-time/180 ECTS

Choose the four-year Work & Study option to balance your academic goals with practical work experience. This extended format is designed for students who want to integrate longer periods of employment with their studies, enhancing their resumes and applying classroom theories in real-world business settings as they learn.

Yearly tuition

All Students

14.900

Women in Tech: Save €5,000 in tuition by enrolling before March 31st.

BACHELOR

3 years/Full-time/180 ECTS

Opt for our three-year full-time study to fully immerse yourself in your education. This focused approach allows you to absorb knowledge and develop skills at a consistent pace, effectively preparing you for early opportunities. As part of this programme, you are also required to complete a 12-week internship, integrating practical experience with your academic studies.

Yearly tuition

International

19.900

Spanish & Thai

9.950

50% OFF

19.900

Programme structure

1 year

In the first year, students obtain the foundational theoretical knowledge they need to become data scientists. The programme builds the mathematical basis upon which students will develop understanding of programming, statistics, machine learning and data management during following years. The courses are mostly given in a form of lectures and takeaway coursework.

Topics

  • Combinatorics & Graphs - 1
  • Foundations of Programming: C/C++
  • Calculus – 1
  • Foundations of Mathematical Logic
  • Linear Algebra -1
  • Algorithms and Data Structures – 1
  • Combinatorics and Graphs - 2
  • Object Oriented Programming: Python
  • Calculus – 2
  • Algorithms and Data Structures – 2
  • Linear Algebra -2
  • Computer Organisation and Systems
  • Combinatorics and Graphs - 3
  • Operating Systems
  • Calculus - 3
  • Capstone Project - 1
  • Seminars & Workshops - 1
More

2 year

In the second year, students learn programming, statistics and machine learning in addition to courses that will further establish the mathematical foundations they need in data science.

The second year also contains courses that start covering tremendously useful data science tools as well as technical writing instruments. Most courses require practical coursework and a course project enabling students to get a feel for the challenges and approaches used in this field. The students will also begin developing software for the Capstone project.

By the end of this year, students will be able to write programmes, use primary data science tools and conduct data analysis and will be ready to study applied courses during the final year of the programme.

Topics

  • Probability Theory
  • Introduction to Statistics
  • Java Programming
  • Practical Unix
  • Parallel and Distributed Computing
  • Introduction to Optimization
  • Machine Learning – 1
  • R, Matlab, SPSS
  • Stochastic Processes
  • Introduction to Computer Networking
  • Database Systems Principles
  • Computational Complexity Theory
  • Introduction to Cryptography
  • Convex Optimization
  • Python for Massive Data Analysis
  • Capstone Project - 2
  • Seminars & Workshops - 2
More

3 year

During the third, the final year, students will complete their studies of programming and data analysis and will primarily focus on applications of data science. The programme offers many of practical and interdisciplinary courses. The courses are taught by researchers and professionals who practice the courses they teach either academically or by sharing their professional experiences in their field.

Topics

  • Information Theory
  • MapReduce
  • Parallel and Disrtibuted Computing
  • Machine Learning – 2
  • Stochastic and Hugescale Optimization
  • Bioinformatics
  • Big Data & Emerging Technologies
  • Performance Oriented Computing
  • Text Mining
  • Software Development Process
  • Computational Genomics
  • Image Analysis
  • Technical Project Management
  • Web-graphs
  • Data Visualization
  • Neural Networks
  • Leadership and Group Dynamics
  • Writing, Documentation, TeX, JavaDoc, Academic
  • Introduction to Interaction Design
  • Capstone Project - 3
  • Seminars & Workshops - 3
More

OFFER

WOMEN IN TECH

Save €5,000 in tuition

by enrolling before March 31stLearn More

Faculty

Data Science

We're delighted to introduce some of our excellent teachers. Keep track of more news about who's coming to share their expertise at Harbour.Space on our Twitter and Facebook.

Programme leadership

Radoslav Neychev

Radoslav Neychev

Harbour.Space AI Track Director, Girafe-ai founder

Radoslav Neychev is a data scientist with focus on Deep Learning and Reinforcement Learning techniques. He has worked on variety of research (CERN LHCb, MIPT Machine Intelligence Lab, CC RAS) and industrial projects (Yandex, RaiffeisenBank) in different domains vary from particle identification problem to fraudulent transactions detection.

Radoslav graduated from Moscow Institute of Physics and Technology, majoring in Applied Mathematics and Machine Learning. Radoslav is reading lectures and organising practical classes at Russian top-tier universities, tech companies and summer schools.

Radoslav Neychev

Konstantin Mertsalov

Konstantin Mertsalov

PhD, Director of Software Development Europe at Rational Retention

Konstantin Mertsalov is European Director of Development at Rational Enterprise, a globally leading software development company specialising in enterprise information management.

Originally from Russia, he moved to New York in 1998 to study Computer Science and Applied Mathematics , and continued his academic career with a Rensselaer Polytechnic Institute PhD on large dynamic social networks.

He's an expert on machine learning, information diffusion in social network, semantic web search, unstructured data, big data and data analytics in general. He developed U Rank, a search engine that allows people to organise, edit and annotate search results as well as share information.

Konstantin aims to lead the Harbour.Space Data Science programme with unbridled enthusiasm about the relatively new field, and he’s determined to use his industry knowledge to share, teach and create for the future with his students.

More
Konstantin Mertsalov

Career path

Every career looks different: it depends on individual aspirations as a well as changes in the industry. We've selected some stories to illustrate and celebrate the diversity of the various career paths.

Junior Data Scientist

This is a typical starter role for data science BSc graduates. The position requires strong knowledge of mathematics with an emphasis on statistics and machine learning as well as on concepts related to programming and databases. As part of a team, junior data scientists begin gaining first hand experience with industrial data analysis while learning from more senior colleagues.

Data Scientist

Data scientists combine a mathematical background and practical experience with domain expertise which enables them to conduct advanced data analysis necessary to make predictions that facilitate good business decisions. The job requires an understanding of both mathematics and business objectives. Data scientists need to be technical experts with the competencies necessary to handle large volumes of diverse data as well as possess strong programming skills.

Senior Data Scientist

A senior data scientist becomes a link between the core of the business management and the entire analysis team. The role requires the ability to communicate effectively, in order to both grasp business goals and to communicate the insights brought to them by the analysts. Senior data scientists also direct relevant programming and application-building projects, as well as the formulation of experiment design and they have a leading role within a data science team.

Principal Data Scientist

A principal data scientist is a data visionary who finds ways to answer business questions by analysing available data within the enterprise and on the internet. The job often requires the creation of new methods of analysis and working at the intersection between industry and academia.

Chief Data Officer

A chief data officer is a business leader who handles responsibilities at the intersection of data analysis, information technology and business strategy. The CDO determines the long- term direction for controlling risks and generating value from information governance as well as data management and analysis. Most importantly, the CDO is an agent of change uncovering new levels of efficiency by reporting in-depth insights based on knowledge harvested from data.

Apply for
2025 - 2026

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Testimonials

Ekaterina Podruzhko

Data Science

Ekaterina Podruzhko

Here, you learn not only from amazing teachers but also from your classmates. It's rare to find a place with so many highly motivated individuals eager to share their experiences. Harbour.Space brings together people from diverse backgrounds, helping you acquire different skills and perspectives, and making you a better overall professional.
Ariel Cruz Cruz

Data Science

Ariel Cruz Cruz

Harbour.Space changed my life for the better, opening doors to endless possibilities. It empowered me to embrace growth and learning, not only from amazing teachers but also from my classmates.
Aleksandra Medvedeva

Data Science

Aleksandra Medvedeva

Harbour.Space inspired me and equipped me with the knowledge and opportunities to put it into practice. This magical cycle made me believe in myself.
Mohammed (Jim) Sanae

Data Science

Mohammed (Jim) Sanae

This exposure to diverse perspectives and global experiences at Harbour.Space fosters cross-cultural learning, which is preparing me to thrive in an increasingly globalised and interconnected world.

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