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Opinto­kokonaisuus, lukuvuosi 2023–2024
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Statistical Data Analytics, Vähintään 120 op

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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 as complementaty studies.

  • DATA.STAT.120 Introduction to Statistical Methods, 5 ECTS. For students who enrolled during the 2020-2021 and who enroll for the 2021-22 academic year, the complementary course DATA.STAT.120 Introduction to Statistical Methods can be replaced by the course DATA.STAT.430 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, joint studies like orientation and language studies, and possible complementary studies.

Tavoitteet

See the learning outcomes of MP in Computing Sciences and Advanced Studies in Statistical Data Analytics.

Koodi
SDAY
Opetuskieli
englanti
Lukuvuodet
2021–2022, 2022–2023, 2023–2024
Opintokokonaisuuden taso
Syventävät opinnot
Koulutusalat
Luonnontieteet
Vastuuhenkilö
Vastuuopettaja:
Martti Juhola
Vastuuopettaja:
Jaakko Peltonen
Esitietovaatimukset
Lisätiedot
Kokonaisuudet, joihin opinto­kokonaisuus kuuluu
Koodi
SDAY
Opetuskieli
englanti
Lukuvuodet
2021–2022, 2022–2023, 2023–2024
Opintokokonaisuuden taso
Syventävät opinnot
Koulutusalat
Luonnontieteet
Vastuuhenkilö
Vastuuopettaja:
Martti Juhola
Vastuuopettaja:
Jaakko Peltonen