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Archived teaching schedules 2016–2017
You are browsing archived teaching schedule. Current teaching schedules can be found here.
MTTTS11 Master's Seminar and Thesis 40 ECTS
Period I Period II Period II Period IV
Language of instruction
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Degree Programme in Mathematics and Statistics
School of Information Sciences

Learning outcomes

The student can perform independent research in computational big data analytics and can report the underlying theory of the chosen methods and the achieved results in an understandable fashion. The student can comprehend scientific areas of knowledge and can follow ongoing developments in the student's field. The student is able to present the topic of the pro gradu thesis and the produced analysis results to other students in an understandable manner during the seminar.

Enrolment for University Studies

New enrolments for the spring term: contact the teacher responsible.

Enrolments for the autumn/whole academic year:

Enrolment time has expired


Jaakko Peltonen, Teacher responsible

Homepage URL


29-Aug-2016 – 19-May-2017
Autumn 2016
Mon 29-Aug-2016 - 12-Dec-2016 weekly at 12-14, Pinni B0020, exact dates agreed in the beginning of the semester.
Spring 2017
Tue 10-Jan-2017 - 9-May-2017 weekly at 14-16, Pinni B0020, exact dates agreed during the semester.
10-Jan-2017 , Pinni B2077