Course and teaching information 2019-2020

The academic year is divided to four periods. The current locations of Data Science courses are given below.

Year 1, Period 1

Year 1, Period 2

Year 1, Period 3

Year 1, Period 4

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 elective courses OR optional studies

Year 2, Period 2

  • MSc Thesis (5 out of 30 cr) (continued)
  • 2-3 courses from List B of elective courses OR optional studies

Year 2, Period 3

  • MSc Thesis (10 out of 30 cr) (continued)
  • 1 course from List C of elective courses OR optional studies

Year 2, Period 4

  • MSc Thesis (10 out of 30 cr) (continued)
  • 1 course from List D of elective courses OR optional studies

Elect­ive courses

List A of elect­ive courses on Period 1

List B of elect­ive courses on Period 2

* Given every other academic year (given in 2018-19)
** Given every other academic year (given in 2019-20)

List C of elect­ive courses on Period 3

* Given every other academic year (given in 2018-19)
** Given every other academic year (given in 2019-20)

List D of elect­ive courses on Period 4

* Given every other academic year (given in 2018-19)
** Given every other academic year (given in 2019-20)

Ad­di­tional courses

Every academic year, the programme offers also some additional courses. These courses cannot, however, counted as a part of the 20 credits of specialisation studies in Data Science in the current degree structure.

This kind of additional courses in Academic year 2019-2020 are the following: