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Description
Big data and data-driven methods are at the centre of modern computer science, statistics, computer engineering, and complex systems research, putting large-scale data, mathematical modelling and computer simulations at the front of an interdisciplinary attempt to describe reality. Data science is key for a quantitative understanding of complex techno-social phenomena, allowing us to make predictions and even steer systems of diverse origin (social, economic, biological) towards desired outcomes in the face of uncertain information. Applications of the field are wide and range from scientific research to data analytics in several fields of industry.
Experts on analysing large-scale data are needed for solving challenging quantitative problems such as: the automated understanding of text documents, conversations and social media content; creating intelligent search engines; finding data-driven insights into complex phenomena in society, the economy and global culture; creating data-driven solutions for medical and biological problems; and enabling self-driving cars and autonomous robots.
Tampere University offers three related specialisations that involve the analysis, modelling, prediction, and computation with big data: the Data Science (MSc) specialisation and the Statistical Data Analytics (MSc) specialisation, which focus on computational and statistical algorithms for data mining and machine learning, and the Signal Processing and Machine Learning (MSc Tech) specialisation, which focuses on engineering accurate predictive machine learning models.
The Data Science (MSc) specialisation features similar topic areas as the Statistical Data Analytics specialisation, with the Data Science (MSc) specialisation placing more emphasis on algorithmic and computational aspects of data science and artificial intelligence.
Data Science (MSc) will help you understand data analysis as a tool and master the necessary related skills, such as data cleansing, integration, modelling and prediction, and interactive exploration of data and models. You will learn methods ranging from probabilistic approaches through efficient data mining algorithms to flexible deep learning with neural networks. You will also learn to present data analysis results to decision-makers with descriptive summaries and visualisations.
Data Science (MSc) is one of the specialisations in the Master’s Programme in Computing Sciences and Electrical Engineering.
Requirement
BSC Certificate /Transcript,CV
Recommendation Letter
A copy of your High School Diploma (O LEVEL & A LEVEL) e.g (WAEC, NECO, SAT, KCSE, ZIMSEC, GCE)
A copy of your International passport Bio-data page.
A copy of your recent Passport Photo.
A valid copy of your Result Checker Card.
All applicants for undergraduate degree courses must possess a minimum qualification of five (5) credits, in the Senior Secondary School Certificate (WAEC, NECO, SAT, KCSE, ZIMSEC, GCE).
To be eligible to apply to a master’s programme at Tampere University, you must have:
Bachelor’s degree - nationally recognized 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 to pursue an academic master’s degree in the country where the awarding institution is located
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 are applying to
from a recognised institution of higher education
A good command of the English language for academic purposes.
The application period for master’s programmes conducted in English with studies starting in autumn 2025 begins on 11 December 2024 at 8.00 (UTC+2) and ends 3 January 2025 at 15.00 (UTC+2). The online application form will be available only during the application period at Studyinfo.fi.
Fees
The early bird offer gives a 1500 € reduction on the programme tuition fee during the first year of studies.
Tampere University tuition fee scholarship is an exclusive opportunity awarded to a limited number of the best-performing applicants in each programme.
Tampere University tuition fee scholarships awarded at admission cover 50% of the tuition fees for the programme duration. The programme duration is
three years for bachelor’s degree
two years for master’s degrees
five years if the study right is granted for both a bachelor’s and a master’s degree.
At the discretion of the university, individual Tampere University scholarships covering the full tuition fee may be awarded to exceptionally qualified applicants. The university is not obligated to award any full scholarships.
The continuation of the scholarship throughout the programme duration is subject to conditions. In order to retain the scholarship, the recipient must progress in their programme studies at the normative pace.