The Data Science MSc degree consists of 120 credits divided into core courses, elective data science courses, and other courses. Studies in the Data Science MSc programme include both theoretical and practical components, including a variety of study methods (lectures, exercises, projects, seminars; done both individually and in groups). Especially in applied data science, we also use problem-based learning methods, so that you can address real-world issues. You will also practise academic skills such as scientific writing and oral presentation throughout your studies. You are encouraged to include an internship in your degree in order to obtain practical experience in the field.
Upon graduating from the Data Science MSc programme, you will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills. In particular, you will be able to:
- Understand the general computational and probabilistic principles underlying modern machine learning and data mining algorithms
- Apply various computational and statistical methods to analyse scientific and business data
- Assess the suitability of each method for the purpose of data collection and use
- Implement state-of-the-art machine learning solutions efficiently using high-performance computing platforms
- Undertake creative work, making systematic use of investigation or experimentation, to discover new knowledge
- Report results in a clear and understandable manner
- Analyse scientific and industrial data to devise new applications and support decision making.
You can also find information about the courses and teaching from WebOodi, the online course catalogue for students at the University of Helsinki:
In the Master’s thesis, you will demonstrate your familiarity with the thesis topic, mastery of the necessary research methods, the ability to think scientifically and proficiency in academic writing. Your thesis should contain a definition of the research questions, a review of the relevant literature, and theoretical, constructive or empirical parts developing answers to your research questions. The thesis workload, including the collection and processing of the research material as well as the writing process, corresponds approximately to one term of full-time study.
More information in the thesis instructions.
After completing the MSc programme in Data Science, you can apply for doctoral studies at the University of Helsinki or elsewhere. Due to the high level of international recognition of the University of Helsinki and the data science research groups, you will have good chances to be accepted for doctoral studies at top universities. The additional skills gained in doctoral studies will not only be useful for an academic research career but also for work as a data scientist in industry.
At the University of Helsinki, suitable doctoral programmes include:
- Doctoral Programme in Computer Science
- Doctoral Programme in Mathematics and Statistics
- Doctoral programmes in your chosen application domain; for this choice you are strongly encouraged to include domain specific methodologies and minor studies.
More information about doctoral education at the University of Helsinki.
There are many ways to study data science at the University of Helsinki. Some of the options include:
Obtain an MSc degree in Data Science in our programme
- You can apply in the yearly application round in January (unless you fall under the exceptions below).
- For students in the Faculty of Science bachelor programmes who have started in 2017 or later, please see the faculty instructions for selecting your MSc program.
- For all students in the Faculty of Science who have started before spring 2017, please see the faculty transfer tables.
Take individual data science courses and modules offered by our programme
- See the recommended modules for other degree programmes for more information. Individual lecture courses can also be taken even if you are not a student of our programme.
- While these courses and modules will not give you a degree in data science, they serve as an introduction to data science topics and will count towards your degree, should you later decide to apply to the Data Science MSc Programme.
Take domain-specific data science courses from other programmes
- Other faculties and programmes offer data science courses tailored for their fields. For instance, data science courses are offered within digital humanities, computational social sciences and life science informatics. Please see their web pages for information on the courses and their pre-requisities.
Take other generic method studies useful for data science
- Other programmes offer courses on methods that can be applied in data science as well. Examples of such programmes include computer science, mathematics and statistics, and language technology. Please see their web pages for information on the courses and modules and on their pre-requisities.
The Data Science MSc programme offers modules for students in other programmes. Individual lecture courses can also be taken by other students.
There is an active data science student community at the University of Helsinki. Check out what some of them have to say about their studies, the University of Helsinki and life in Finland in general: Meet the students.
You can also read the story of Ioanna Bouri and how her life-long dream of studying in Finland became a path to academia.
Student life and especially the student organisation culture is exceptionally rich and diverse in Finland. Also at the University of Helsinki, the student community is very active. More than 250 student organisations operate within the Student Union of the University of Helsinki (HYY), ranging from faculty and subject organisations to political and societal organisations, and from choirs and orchestras to sports and game clubs. Their activities include anniversary celebrations, academic dinner parties, cultural events, get-togethers and excursions.
As a student and member of the Student Union (HYY), you are entitled to many benefits and services. For example, affordable student housing, basic healthcare services, sports facilities and student-priced meals. You also get numerous discounts, for example on public transport fees across the country.