Kaisa_2012_3_photo by Veikko Somerpuro

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Description

Master's Programme in Data Science is responsible for the course.

The course is not available to students from other degree programmes.

Prerequisites in terms of knowledge

Most compulsory courses of the programme taken, as well as any other courses needed for a successful completion of the thesis on the selected topic.

Prerequisites for students in the Data Science programme, in terms of courses

Most compulsory courses of the programme taken, as well as any other courses needed for a successful completion of the thesis on the selected topic.

Prerequisites for other students in terms of courses

Not applicable

Recommended preceding courses

None

Data science seminar II and Data science project II if they support the thesis.

Gaining ability for scientific thinking, command of scientific methods, conversance with the topic of the thesis, and aptitude for scientific communication.

Recommended time/stage of studies for completion:

starting in the beginning of the second academic year in the programme or already during the summer, completion during the spring of the second academic year in the programme.

Term/teaching period when the course will be offered:

continuously

The master’s thesis should focus on a data science problem and on applying the knowledge the student has learned during the MSc courses to solve that problem. Thesis topic and content is negotiated with the supervisor. A master's thesis should contain a definition of the research questions, a review of the relevant literature, and theoretical, constructive or empirical parts developing answers to the research questions.

A supervisor is appointed among the faculty of the programme to oversee thesis work. The student and supervisor have regular meetings to ensure that thesis work is progressing smoothly and on schedule. Support is organised through various activities, including presentations covering both on-going and completed thesis work.

A written Master's thesis.