Data Science, At least 120 cr

Prerequisites and the structure of studies

Prerequisities

Bachelor's degree in a suitable field or equivalent studies, and a good knowledge of English. Suitable studies include:

Basic knowledge in Statistics (~10 ECTS). Following course units or equivalent:

· DATA.STAT.110 Introduction to Statistics, 5 ECTS

· MATH.APP.210 Introduction to Probability and Statistical Inference, 5 ECTS

Basic knowledge in Computer Science and programming skills (~10 ECTS). Following course units or equivalent:

· COMP.CS.100 Programming 1: Introduction to Programming [Python language], 5 ECTS

· COMP.CS.110 Programming 2: Structures [C++ language], 5 ECTS

Complementary studies

The student’s Bachelor studies also need to include the following studies, and if not, they need to be studied during the MSc programme studies and can be included in the Free Choice Studies category, under Complementary Studies.

· DATA.STAT.120 Introduction to Statistical Methods, 5 ECTS. For students enrolling during the 2020-2021 academic year, the complementary course Introduction to Statistical Methods can be replaced by the course Computational Methods and Principles of Bayesian Inference, 5 ECTS, for which materials in English (lecture notes, exercises) are provided for independent studying and exams.

· DATA.STAT.440 Statistical Inference 1, 5 ECTS

· COMP.CS.300 Data Structures and Algorithms 1, 5 ECTS

Please note that C++ skills are required for Data Structures and Algorithms 1. The student should also be familiar or become familiar with basic mathematics including basic vector and matrix operations.

Note also that some of the course units listed above are mainly lectured in Finnish. Materials in English (lecture notes, exercises) are provided for independent studying and exams. 

Structure of studies

Master of Science degree (120 ECTS) consists of the following studies
- 50 ECTS advanced studies of the student’s specialisation

- 30 ECTS master's thesis on a topic inside the specialisation

- 40 ECTS other studies including free choice studies, general studies like orientation, guided planning of studies and language studies for international/TAU/Finnish students, and possible complementary studies. 

See the learning outcomes of MDP in Computing Sciences and Advanced Studies in Data Science