Information processing has become a core activity for the running of organisations, society at large and global development. 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.
Learning Outcomes
| According to the Government Decree on University Degrees (794/2004, amended 1039/2013, §21) the objectives of scientific postgraduate education are that the student 1. Becomes thoroughly acquainted with her/his own field of research and its social significance 2. Gains the knowledge and skills needed to apply scientific research methods independently and critically and to produce new scientific knowledge within her/his field of research 3. Becomes acquainted with the development, basic problems and research methods of her/his field of research 4. Gains such knowledge of the general theory of science and of other disciplines relating to her/his own field of research as enables her/him to follow developments in them 5. Achieves sufficient communication and language skills and other abilities to work as an expert or a developer in demanding jobs and in international cooperation. |
Study Planning and Guidance
Each doctoral student must draw up a personal study and supervisory plan together with his/her supervisors. The plan must specify intended doctoral coursework, course schedule and other modes of study, and the schedule and publication plan for the dissertation. The plan must be drawn up when applying for doctoral studies and it can be updated during the first term of a student's doctoral studies, and his/her dissertation supervisor must approve it. The plan can be submitted to the Faculty's Committee for Doctoral Education for the Committee's information. Approval of the study and supervisory plan will be entered into the study register at the Faculty. The plan must be updated once a year.
Progressing in your Studies
Studies and supervision in doctoral programmes are intended to last for four years, and a doctoral degree should be completed in five years. Doctoral students must report on the progress of their studies and research to the Faculty once a year.
The following post-master degrees are offered at the Faculty of Natural Sciences (in accordance with Government Decree on University Degrees 794/2004):
- Doctor of Philosophy
- Licentiate of Philosophy (an optional intermediate step towards the doctoral degree)
The major subject alternatives of the Doctoral programme are: Mathematics, Statistics and Computer Science.