Course and Teaching Information 2025-2026

The academic year at the University of Helsinki is divided into four actual teaching periods and some intensive periods. The current locations of Data Science courses for Academic year 2025-2026 are given in the model schedule of studies below. The lists of specialisation courses and additional courses as well as their locations can still be changed.
Model schedule of studies
Year 1, Period 1
  • (continues in Period 2)
  • (continues in Period 2)
  • 0-1 course from List A of specialisation courses
Year 1, Period 2
  • (continues from Period 1)
  • (continues from Period 1)
  • 0-1 course from List B of specialisation courses
Year 1, Period 3
  • (continues in Period 4)
  • Data Science Seminar (continues in Period 4)
  • 2 courses from List C of specialisation courses
Year 1, Period 4
  •  (continues from Period 3)
  • Data Science Seminar (continues from Period 3)
  • 2 courses from List D of specialisation courses
In­tens­ive period and sum­mer courses
  • After Period 4, in May, intensive courses and pop up courses are offered on varying topics
  • An internship can be carried out in the summer, counting towards the degree
  • Helsinki Summer School and the Open University also offer some courses during summer
Year 2, Period 1
  • (5 out of 30 cr)
  • 2-3 courses from List A of specialisation courses OR optional studies
Year 2, Period 2
  • (5 out of 30 cr; continues)
  • 2-3 courses from List B of specialisation courses OR optional studies
Year 2, Period 3
  • (10 out of 30 cr; continues)
  • 1 course from List C of specialisation courses OR optional studies
Year 2, Period 4
  • (10 out of 30 cr; continues)
  • 1 course from List D of specialisation courses OR optional studies
Specialisation courses
  •  (continues in Period 2; recommended for Year 2)
  • (continues in Period 2; recommended for Year 2)
  • (recommended for Year 2)
  •  (recommended for Year 2)
  •  (recommended for Year 2)
  • (recommended for Year 2)
  • (recommended for Year 2)
  • 2nd Data Science Seminar (available in Year 2)
  • (continues from Period 1; recommended for Year 2)
  • (continues from Period 1; recommended for Year 2)
  • (recommended for Year 2)
  • (recommended for Year 2)
  • (recommended for Year 2)
  • (recommended for Year 2)
  • 2nd Data Science Seminar (continued, Year 2)
  •  (2 cr)
  • (3 cr)
  • (*)

(*) Given every other academic year (lectured in 2026)
  • (MOOC; offered 1.8.2025-31.7.2026)
Data Science Seminars

As Data Science seminars you can take any of the seminars offered by the Master's Programme in Data Science or some of the seminars offered by the Master's Programme in Computer Science or the Master's Programme in Life Science Informatics.

Seminars of the Master's Programme in Data Science, Autumn 2025

Seminars of the Master's Programme in Computer Science, Autumn 2025

Seminars of the Master's Programme in Life Science Informatics, Autumn 2025

As Data Science seminars you can take any of the seminars offered by the Master's Programme in Data Science or some of the seminars offered by the Master's Programme in Computer Science or the Master's Programme in Life Science Informatics.

Seminars of the Master's Programme in Data Science, Spring 2026

Seminars of the Master's Programme in Computer Science, Spring 2026
Other courses offered by the programme

Every academic year, the programme offers also some additional courses (). These courses cannot, however, counted as a part of the 25 credits of specialisation studies in Data Science in the current degree structure. Instead, they can be a part of the optional studies in the master's degree. In 2025-2026, such courses are, for example,

  • (period 2)
  • (MOOC; 1.5 cr)
  • AI in Society: AI and Democracy (MOOC; 0.5 cr)
  • (MOOC; 0.5 cr)
  • AI in Society: AI and Justice (MOOC; 0.5 cr)
  • Computational Affective Modelling I (MOOC; 2 cr)
  • Computational Affective Modelling II (MOOC; 3 cr)
More about the programme