Information processing has become a core activity for the running of organisations and society. Operations and events generate tremendous amounts of raw data, which is needed to provide information for different purposes through data analysis. Information processing, software and information systems are a crucial part of the running of contemporary society. Their development, however, is still highly challenging. Data analysis and information processing are founded in mathematics and mathematical research.
The aim of this doctoral programme is to provide training that prepares students for working as researchers and experts in the research fields of the CIS research centre. These fields cover themes that include:
- Data analysis, data mining and statistical modelling, such as information theory, stochastic methods, machine learning, learning algorithms and computer-intensive methods.
- Mathematics and mathematical methods of data processing, including number theory, algebra, algebraic geometry, logics and finite model theory, algorithms and formal languages.
- Software, databases and data systems, including conceptual modelling, database design, data search, data systems design and utilisation in organisations, delivery chain and product information management, mass tailoring, software development, formal methods of software and information system development, and information systems in healthcare and industry.
Processing information and knowledge using the aforementioned methods is crucial to the increasing utilisation of ICT. Highly educated experts are in demand in these areas of information sciences. The doctoral programme works closely with the CIS research centre and its research projects. The employment outlook is good for people holding doctorates in this field.
Published doctoral dissertations:
If you are interested in applying for the Doctoral Programme in Information and Systems, you can find our admission requirements on our admissions pages.
Faculty of Natural Sciences
33014 University of Tampere, Finland
Visiting address of the Faculty Office
Kanslerinrinne 1, Pinni B Building, Ground floor, room B1053
Tel. +358 50 318 6398 Faculty Office