Bachelor of Science in
Data Science

About the programme

With a BSc in Data Science, you will become the next generation analyst — a data scientist with comprehensive analytical and technical skills covering all aspects of handling and analysing data. By deriving key insights from data, you will be driving the decision-making of the future. You will learn to work in interdisciplinary teams and not only make sense of vast amounts of data, but also use your organisational knowledge and market understanding to make a difference.

Businesses and other organisations worldwide are accumulating enormous quantities of data for software or market research, disaster prediction, investment analysis, policy development, artificial intelligence, preventive initiatives in health and much more. However, there is a widespread lack of professionals with the know-how to harvest intelligence from this data.

During the three-year programme, you will receive extensive teaching in the technical subjects mathematics and statistics for data sciences, programming, machine learning, algorithms development, and data management, as well as  in social science applications, research methods, data visualisation, communication, and critical reflection.

This will ensure the comprehensive interdisciplinary knowledge you will need as a data scientist. Here are some examples of cases we could be working on:

  • Twitter analysis: election prediction via social media topic modelling
  • Facebook analysis: detecting friends and enemies in social networks over millions of users
  • Language analysis: detecting contradictions in live debates
  • Recommendation systems: personalised automated product recommendation systems for e-commerce
  • Marketing design: automated accurate target group analysis for marketing campaigns over millions of users

The Data Science programme is taught in English. There will be used cases and examples from both Danish and international organisations. 

Non-curricular events at the university can be held in Danish.

With a bachelor degree in Data Science you have direct access to the MSc in Data Science.


Meet students from Data Science

Meet Marie-Louise who studies Data Science and plays golf at an elite level, and hear about the programme and what the eduacation and her elite sport has in common. English subtitles available. 

Meet Data Science student Anders, who talks about how theory comes into praxis on the programme.

Who studies Data Science?

As a student on the Data Science programme you should have strong mathematical skills, as well as an interest in analysing real-world problems in business, science and society.You will be able to apply your curiosity and interest in making new discoveries when you work on the various cases. 

The IT University has a continuous dialogue and collaboration with the relevant industries and provide cases for the students. You will over the time of your bachelor degree develop new technical skills within statistics and computer science. There is a great deal of group work on this programme, so you should be motivated to collaborate with other students.

Open House 2022

Presentation by Head of Programme

If you were not able to join in our Open House on March 1 you can see the presentation of the Data Science programme by the Head of Programme here. After her presentation a Data Science student talks about why she chose this programme and how her daily life looks as a student at ITU.

Student project presentation

Meet two Data Science students and hear a presentation on a project they did as part of their education.

Meet a student and a teacher on the Data Science programme

Lisa is on her second semester of Data Science and project work is a large part of her life at ITU.

Nathalie Schluter who teaches on the Data Science programme talks about how you can use a degree in Data Science in the real world.

Programme structure

The Data Science is a programme of data science-focussed mathematics and statistics, computer science and applied social science. Through extensive project work, students are trained in applying these skills in realistic settings, including interacting with domain experts and decision makers in industry to formulate relevant goals and to support data-driven decision-making processes.

Course of study for Bachelor in Data Science
1st semester Introduction to Data Science and Programming
(15 ECTS)
Linear Algebra and Optimisation
(7.5 ECTS)
Data Science in Research, Business and Society
(7.5 ECTS)
2nd semester First Year Project
(15 ECTS)
Algorithms and Data Structures
(7.5 ECTS)
Applied Statistics 
(7.5 ECTS)
3rd semester
Machine Learning
(15 ECTS)
Introduction to database Systems
(7.5 ECTS)
Network Analysis
(7.5 ECTS)
4th semester
Second Year Project: Introduction to Natural Language Processing and Deep Learning 
(15 ECTS)
Data Visualisation and Data-Driven Decision-Making
(7.5 ECTS)
Large-Scale Data Analysis            
(7.5 ECTS)
5th semester
Technical Communication
(7.5 ECTS)
Security and Privacy
(7.5 ECTS)
Software Develop-
ment and Software Engineering 
(7.5 ECTS)
(7.5 ECTS)
6th semester
Bachelor Project
(15 ECTS)
Reflections on Data Science
(7.5 ECTS)
(7.5 ECTS)
Programming content
Mathematics content
Applications to real world problems
Social science content

Electives and bachelor project
The electives and the bachelor project offer an opportunity to shape your own profile. As electives you can choose between a number of courses offered at the IT University at bachelor’s level, or even take electives at a different Danish or international university. The bachelor project can be done in groups or individually.

The course list offers descriptions of all courses offered at the IT University.



Follow @itustudent on Instagram and meet more ITU students

Activities for students on BSc in Data Science

Study Lab

Three times a week through the first semester, Study Lab is held. StudyLab is a place where you can get help in becoming even better at topics covered in your courses eg. by discussing academic themes that you are curious about or getting help with difficult material.

StudyLab additionally hosts interesting activities such as review sessions, minor courses on relevant but non-curricular topics, as well as professional lectures with external speakers. StudyLab is run by experienced ITU students. 

Live Coding

Live Coding is a forum for 1st semester students at Date Science. Here you can get hands-on experience with programming through sessions where a teaching assistant will show you how coding can be done by actually writing the code in front of and with you and the other students.

Live Coding takes place once a week from the beginning of the semester.



Going abroad

You also have the opportunity to take part of your programme on a university abroad. Especially the 5th semester is well suited for an exchange stay. This is a chance for you to further specialise your education and have the experience of working in a new environment.   

The IT University has exchange agreements around the world. For the BSc in Data Science you can among other places study a semester on these universities:

  • Australia - University of Technology Sydney
  • China - City University of Hong Kong
  • Netherlands - Maastricht University
  • New Zealand - Auckland University of Technology 
  • Spain - Universitat Politecnica de Catalunya
  • Germany - Technical University of Munich


Further education

With a bachelor in Data Science, you will hold the academic title of BSc (Bachelor of Science). This qualifies you to continue your studies in a master’s programme at the IT University or a different Danish or foreign university in the areas of science, social science and technology.

You will have direct access to the MSc programme in Data Science. You have direct access for three years after graduation (legal right to admission). 

Additionally, the bachelor degree in Data Science qualifies you for entry to the following ITU MSc programmes; MSc in Computer Science (provided specific CS electives), MSc in Digital Innovation & Managemet (provided Danish A) and MSc in Games. 


After you have finished your Bachelor degree in Data Science, you may choose to go straight to the job market. The Data Science programme equips you with skills and knowledge that are in high demand across a wide variety of industries and in both private and public sectors.

The BSc programme in its entirety qualifies you to work  as a data scientist within a wide array of fields, from investigative journalism where you analyse data to find stories, to financial modelling, financial fraud prediction, urban planning, forensics, agriculture, social media analysis, remote sensing, international development, and many many others. The opportunities are endless for you to use your Data Science degree to improve our world.

Job titles could be:

Data Scientist
Machine Learning Engineer
Business Intelligence Analyst
Data Analyst
Digital Analyst 



Meet Jean-Marie who studied Data Science at ITU. While he was studying he began working at PWC and now works there full time. Here you can ear him talk about why he chose Data Science and what his work as a data scientist is at PWC.

What can you do as a data scientist?

Data science in a consultancy

 What is a data scientist? Hear the founder of the consultancy /KL. 7, Mikkel Holm Sørensen, tell about how they work with data, and what data enables now and will in the future.

How data can improve our health

What role does data play in the public sector? And what does data mean to public health in the future? Listen to the Head of Sundhedsdatastyrelsen (the health data agency), Lisbeth Nielsen, tell you about what data is and how they use it to develop initiatives to increase the public health.

What does a data scientist do at Psykiatrifonden?

How can an NGO make use of data? And how does data improve their work? Hear for what fundraiser and data scientist, Maria Tersing Kristensen at Psykiatrifonden, uses data.


The programme has a considerable element of "hands-on" project work, which allows you to develop your skills in increasingly realistic and complex settings. The teaching will alternate between this kind of project work, lectures and exercises.

The Data Science programme puts great emphasis on collaborations with the industry. You will have the opportunity to do projects that connect to real data and collaboration with external partners. 


The Data Science programme is taught in English, and there will be used both Danish and international cases and examples in classes.

Admission figures

  • Data Science will admit approximately 80 new students in 2022.
  • 80 % will be accepted via qouta 1 and 20 % will be accepted via quota 2.
  • Indicative average mark from 2022 in quota 1: 8,8 and in 2021 in quota 1: 8.3

Are you interested in studying at the IT University of Copenhagen, please contact The Study and Career Guidance.