Course and Teaching Information 2021-2022

The academic year is divided to four periods. The current locations of Data Science courses are given below. The lists of specialisation courses can still be changed.

Year 1, Period 1

Introduction to Data Science
Data Science Study Skills
Academic Writing I
Introduction to Artificial Intelligence (highly recommended)
0-1 course from List A of elective courses

Year 1, Period 2

Distributed Data Infrastructures
Introduction to Machine Learning
Bayesian Data Analysis
Academic Writing I (continued)
0-1 course from List B of elective courses

Year 1, Period 3

Data Science Project I
Data Science Seminar I
2 courses from List C of elective courses

Year 1, Period 4

Data Science Project I (continued)
Data Science Seminar I (continued)
2 courses from List D of elective 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 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

Specialisation courses

List A of elective courses on Period 1

Big Data Platforms
Computational Statistics
Computer Vision
Design and Analysis of Algorithms
Introduction to Artificial Intelligence (highly recommended for year 1)
Inverse Problems 1: Convolution and Deconvolution
Data Science Seminar II (available in year 2)

List B of elective courses on Period 2

High Dimensional Statistics * (every other year)
Trustworthy Machine Learning
Data Science Seminar II (continued, year 2)

* Given every other academic year (lectured in 2021-22)

List C of elective courses on Period 3

Bayesian Machine Learning
Cloud and Edge Computing
Information Retrieval
Network Analysis (not lectured in 2021-2022)
Data Science Project II (year 2)

List D of elective courses on Period 4

Spatial Modelling and Bayesian Inference* / Advanced Bayesian Inference** (alternating years)
Advanced Course in Machine Learning
Interactive Data Visualization
Data Science Project II (continued, year 2)

* Given every other academic year (given in 2020-21)
** Given every other academic year (given in 2021-22)

Elective courses, teaching period unknown

Numerical Methods in Scientific Computing* / Tools of High Performance Computing** (alternating years)

* Given every other academic year (given in 2020-21)
** Given every other academic year (given in 2019-20)

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 20 credits of specialisation studies in Data Science in the current degree structure.