Eligibility
Selection methods
Eligibility requirements
Eligibility criteria for Tampere University master's programmes taught in English consist of two parts: general eligibility criteria, and programme-specific eligibility criteria, which specify and/or add to the general criteria. Applicants who do not meet both the general eligibility and the programme-specific eligibility criteria will not be admitted to Tampere University.
Detailed instructions on how to apply to the Tampere University master’s programmes conducted in English are provided on Applying to Tampere University master’s programmes webpage and its subpages.
If you have been granted refugee status or similar, see the Applicants with refugee status webpage.
General eligibility
To be eligible to apply for a master’s programme at Tampere University, you must have
1. Bachelor’s degree - nationally recognised first cycle degree
an applicable bachelor’s degree at a university or a university of applied sciences in Finland
a bachelor's degree completed in a university outside Finland which provides eligibility for equivalent university master’s degree studies in the country in which it was awarded: with a minimum scope of 180 ECTS credits, three to four years of full-time study; from a relevant field for the master’s degree programme that you’re applying to; from a recognised institution of higher education.
2. A good command of the English language for academic purposes.
If you are in the final year of your bachelor’s degree due to graduate in the spring/summer of 2027, and fulfil all other requirements, you are eligible to apply. The degree must be completed by the start of studies 23 August 2027. Please see special instructions for applicants in the final year of the bachelor’s degree.
Detailed information can be found on the Eligibility criteria webpage.
Language requirements
When applying to a master’s programme at Tampere University, you must submit proof of English language proficiency for academic purposes. You have two options for demonstrating this: language tests or previous studies. Please see detailed instructions on the Language Requirements webpage.
Make big sense of big data Big data and data-driven methods are at the centre of modern computer science, statistics and computer engineering and hold great promise for the future. Statistical data analytics brings our society and industry in-depth discoveries, accurate predictions, and grounded decisions. It is the driving force in the artificial intelligence revolution. There is a strong need for experts in this area.
Experts on analysing data are needed for solving challenging problems such as understanding text documents, conversations and social media; creating intelligent search engines; finding data-driven insights into society, economy and culture; creating data-driven solutions for medical and biological problems; and enabling self-driving cars and autonomous robots.
At Tampere University we offer three related specialisations that involve analysis, modeling, prediction, and computation with big data: Data Science (MSc) and Statistical Data Analytics (MSc) focus on computational and statistical algorithms for data mining and machine learning, with differing emphases, and Signal Processing and Machine Learning (MSc Tech) focuses on engineering accurate predictive machine learning models.
The Statistical Data Analytics (MSc) specialisation features several similar topic areas as Data Science (MSc) but Statistical Data Analytics (MSc) places more emphasis on aspects of data science and artificial intelligence where statistical understanding and modeling of data uncertainty, variation and dependency is a crucial advantage. Statistical Data Analytics is the central s