Course and Teaching Information 2023-2024

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 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
Year 1, Period 2
Year 1, Period 3
Year 1, Period 4
  • Data Science Project (continued)
  • Data Science Seminar (continued)
  • 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
  • MSc Thesis (5 out of 30 cr)
  • 2-3 courses from List A of specialisation courses OR optional studies
Year 2, Period 2
  • MSc Thesis (5 out of 30 cr) (continued)
  • 2-3 courses from List B of specialisation courses OR optional studies
Year 2, Period 3
  • MSc Thesis (10 out of 30 cr) (continued)
  • 1 course from List C of specialisation courses OR optional studies
Year 2, Period 4
  • MSc Thesis (10 out of 30 cr) (continued)
  • 1 course from List D of specialisation courses OR optional studies
Specialisation courses

* Given every other academic year (lectured in 2023-24)

* Given every other academic year (lectured in 2023-24)

A list of courses whose placement is unclear.
Additional courses

Every academic year, the programme offers also some additional courses (all courses offered by the programme). These courses cannot, however, counted as a part of the 25 credits of specialisation studies in Data Science in the current degree structure. In 2023-2024, such courses are, for example,