Overview
The MSc in Data Science at the IT University of Copenhagen is designed to prepare students for a leading role in the field of data science. With the increasing demand for data professionals across various sectors, this programme offers a comprehensive curriculum that covers all aspects of data handling, analysis, and operationalisation. Students will develop advanced analytical skills and technical expertise, enabling them to tackle complex data-related challenges in both industry and academia.
Why Data Science at IT University of Copenhagen?
The IT University of Copenhagen is renowned for its strong emphasis on research and innovation in technology and data science. The university boasts a high ranking in the field, with partnerships with leading tech companies and access to state-of-the-art facilities. This environment fosters a unique learning experience, allowing students to engage with real-world data science problems and collaborate on projects that have a significant societal impact.
Syllabus
The programme consists of mandatory courses and elective modules over the first three semesters, culminating in a master’s thesis in the fourth semester. The curriculum includes:
- Algorithm Design
- Advanced Applied Statistics
- Data in the Wild: Wrangling and Visualising Data
- Seminars in Data Science
- Advanced Machine Learning for Data Science
- Data Science in Production: Information Retrieval and RecSys
- Algorithmic Fairness, Accountability, and Ethics
- Research Project
Careers with Data Science
Graduates of the MSc in Data Science are highly sought after in various sectors. Potential career paths include:
- Lead Data Scientist
- Data Architect
- Data Engineer
- Data Analyst
- Data Science Consultant
- Data Pipeline Architect
- Business Intelligence Specialist
With a strong foundation in both theoretical and applied data science, graduates are well-equipped to address the growing needs of industries that rely on data-driven decision-making.
Programme Structure
Courses include:
- Algorithm Design
- Advanced Applied Statistics & Multivariate Calculus.
- Data in the Wild: Processing heterogeneous data (tentative course title)
- Data Science in Production (tentative course title)
- Research Project including Ethics
- Cross-Disciplinary Team Work
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
-
Language
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Credits
Delivered
Campus Location
- Copenhagen, Denmark
Disciplines
Data Science & Big Data View 7 other Masters in Data Science & Big Data in DenmarkWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
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Other requirements
General requirements
- A university bachelor’s degree or a professional bachelor’s degree.
- English corresponding to the Danish B-level with a minimum of 3 in grade point average.
- A qualifying (bachelor) degree related to data science covering some specific topics.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at IT University of Copenhagen and/or in Denmark, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents123300 DKK / year≈ 123300 DKK / year -
EU/EEA Applies to you
Applies to youEU/EEA NationalsFree
Living costs
Copenhagen
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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