Probabilistic modelling

Dir­ect­ors of the spe­cial­iz­a­tion

Antti Honkela and Jarno Vanhatalo

Per­sons re­spons­ible for dis­cuss­ing the study plans

Antti Honkela and Jarno Vanhatalo

Model study plan


Year 1, period I (15 ECTS)

MAST31701 Probability theory I (5 cr)
MAST32001 Computational statistics I (5 cr)
DATA15001 Introduction to Artificial Intelligence (5 cr)

Year 1, period II (15 ECTS)

MAST31702 Probability theory II (5 cr)
MAST32002 Computational statistics II (5 cr)
MAST32006 High dimensional statistics (5 cr)

Year 1, period III (15 ECTS)

MAST31402 Bayesian inversion (10 cr total over 2 periods)
MAST31704 Topics in probability I (5 cr)
DATA12002 Probabilistic Models (5 cr)

Year 1, period IV (15 ECTS)

MAST32004 Advanced course in Bayesian statistics (5 cr)
MAST31402 Bayesian inversion (continued)
MAST31705 Topics in probability II (5 cr)

Year 2, period I (15 ECTS)

MAST32003 Statistical inference III (5 cr)
DATA11001 Introduction to Data Science (5 cr)
Optional course (5 cr), such as Seminar in Data Science

Year 2, period II (10 ECTS + starting the thesis)

DATA11003 Distributed Data Infrastructures (5 cr)
DATA20001 Deep Learning (5 cr)
MSc thesis

Year 2, period III (thesis)

MSc thesis

Year 2, period IV (thesis + 5 ECTS)

MSc thesis

[Choose either one of these:]
DATA12001 Advanced Course in Machine Learning (5 cr)
MAST32005 Spatial modelling and Bayesian inference (5 cr)