Schedule

Pro­vi­sional sched­ule for 2018-19

The academic year is divided to four periods, and the temporal locations of Data Science courses are given below.

Year 1, Period 1

Year 2, Period 1

  • MSc Thesis (5 out of 30 cr)
  • 2-3 elective courses

Elective courses offered in Period 1:

Year 1, Period 2

Year 2, Period 2

  • MSc Thesis (5 out of 30 cr) (continued)
  • 2-3 elective courses

Elective courses offered in Period 2:

Year 1, Period 3

Year 2, Period 3

  • MSc Thesis (10 out of 30 cr) (continued)
  • 1 elective course

Elective courses offered in Period 3:

Year 1, Period 4

Year 2, Period 4

  • MSc Thesis (10 out of 30 cr) (continued)
  • 1 elective course

Elective courses offered in 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