Studies
Degree requirements
The Data Science study profile is organized together by the Algorithms, Data Analytics and Machine Learning and the Networking and Services subprogrammes of the department. Students can take the Data Science profile under either subprogramme. The language of education is English.
NB: From autumn 2017 on, this study profile is superseded by a new MSc programme in Data Science of the University of Helsinki. New MSc degree students in data science will enroll in the new degree programme. Students who started their MSc studies in computer science before autumn 2017 can study data science either according to this profile and the older computer science degree, or can transfer to the new data science degree programme.
Compulsory courses of the profile (15 cr):
- Introduction to machine learning (5 cr)
- Distributed Systems (5 cr)
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Either one of the following:
- Design and analysis of algorithms (5 cr)
- Programming in C (5 op) (bachelor-level course) and Distributed Systems Project (5 cr)
Elective courses of the profile, at least 2 of the following (9 cr):
- Advanced course in machine learning (5 cr) (replaces Supervised and Unsupervised machine learning)
- Data mining (4 cr) and project (2 cr)
- Probabilistic models (4 cr) and project (2 cr)
- Distributed Systems Project (5 cr) (unless already included above)
- Big Data Frameworks (5 cr) (a new course in period 4)
Other advanced level computer science courses (10 cr):
- Courses must be specified in the student’s personal study plan (FM-HOPS) and approved by the department.
- Relevant courses can also be included from the Software Systems subprogramme, for example Algorithms and Systems for Big Data Management.
Seminars (6 cr)
Master's thesis and maturity examination (40 cr)
Minor studies: mathematics and statistics are recommended; see subprogrammes for their requirements
Contact persons: Prof. Jyrki Kivinen (Algorithms, Data Analytics and Machine Learning), Prof. Sasu Tarkoma (Networking and Services).
Links to subprogrammes in which this study profile can be taken: