With an MSc in Data Science from the IT University of Copenhagen you will become a lead data scientist with advanced analytical and technical skills covering all aspects of handling, analyzing, presenting and operationalizing data. You will build on your bachelor degree and further specialise the skills and knowledge that you acquired: You will gain profound mathematical and algorithmic foundations for deep understanding of emerging technologies, statistics and computational challenges. You will gain insights on research problems, for instance in advanced natural language processing, deep learning and network analysis, and be equipped to discuss the ethical implications of such technology and their impact on society. At the end of your MSc you will be ready to apply the profound theoretical and applied knowledge to solve real world data science problems in industry or academia.
The MSc in Data Science programme meets the growing demand for data scientists across all industries. You will learn to derive insights from data across sectors and industries, which might come in very different formats, to harvest the knowledge needed to improve processes and create innovative solutions. You will learn how to apply your skills to solve societal and social problems.
The programme focuses on foundational aspects and applied technical skills within algorithms, machine learning, and advanced visualization. The programme emphasizes communication and ethical considerations as they play an important role in data handling and the emergent technology to be developed for the future societies.
Data Scientists are amongst the most educated in the IT industry, and they contribute significantly to a society that is competitive and in growth. As a graduate from this programme you will be in great demand across almost all industries and sectors. You will also be equipped to choose an academic career.
The programme is taught in English.
Hear Head of Programme, Barbara Plank, talk about MSc in Data Science and the competencies you acquire on this programme.
As a student on the Data Science programme you should have strong technical foundation from your bachelor's degree (programming, data management, mathematics, machine learning). You should have a keen interest in applying your skills to derive insights from data and help solve problems of societal relevance and communicating solutions to stakeholders of diverse backgrounds.
The first three semesters of the programme are composed of mandatory courses and specialising elective modules and in the fourth semester you write a concluding master’s thesis.
Mathematical and algorithmic foundations
Exploration of heterogeneous data, advanced visualization, involvement of stakeholders in project-based courses
Communication skills and ethical considerations
The electives and the master’s thesis offer further opportunities for shaping your own profile. You can choose between a number of courses offered at the IT University at master level for electives, or even take electives at a different Danish or international university. The master’s thesis can be completed in groups or individually.
My name is Piotr, I am 34 years old and I am on the last straight of the software design master programme.
My name is Anna, I’m gonna spend this study week with you :) I’m on my exchange semester at ITU, so I have courses from different programs here.
Hi there! 👋🏻 I’m Martin and this week I will share a bit about what it’s like writing my master thesis on the Digital Design and Interactive Technologies program.
Good morning everybody 🌸 I hope you enjoyed your weekend, and are now ready for a new week! My name is Katrine, but some of you might know me as Katy.
I'm Daniel and I'm on my 2nd semester studying CS 🖥️
Goodmorning to all my fellow ITU students! ☀️ My name is Hazel, and I will be taking over the @itustudent account this week.
I’m Amalie, a 6. semester Digital Design and Interactive Technologies student and you’re stuck with me for the week👁✨
My name is Yasmin, and I will take care of you this week! I’m a 4th semester Data Science (DS) gurl and a board member in @studentcouncilitu
Goodmorning to all my fellow itu students! My name is Caroline and I will take over the itustudent account this week😍
It's time for another takeover, and this time, it's my turn!
My name is Alberte, and I'm on my 2nd semester of Digital Design and Interactive Technologies (or just DDIT).
Unforgettable memories with Node Choir! #lifeatITU
Goodmorning everyone - I hope you are getting and giving a lot of hugs these days and that you are ready to begin a new week at ITU 🧚🌈 My name is Alma, I am taking over this profile to show you what inspires me…
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.
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.
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 teaching method for the MSc in Data Science includes lectures and project work as well as exercises. Group work is a big part of this programme, and you will be expected to work in your group with the teachings.
The programme is taught in English and course material will be in English. Cases and examples from both Danish and international organisations will occur.
During your studies you have the opportunity to take a semester abroad. Going abroad is a chance to further specialise your academic profile as well as experiencing a different study environment and living in another country.
With a MSc degree in Data Science you will be equipped to work in a wide range of sectors and industries and the demand for these graduates are high across these fields. You will also have the possibility to pursue a PhD in e.g. areas Computer Science, Data Science, Network Science, Data Systems, Natural Language Processing.
Examples of job titles you could have, are:
Are you interested in studying at the IT University of Copenhagen, please contact The Study and Career Guidance.
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