Data Science, Computing Sciences and Electrical Engineering
Make big sense of big data with Data Science
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Tuition fee for non-EU/EEA citizens
Data science brings together computer science, mathematics and statistics with machine learning, AI and data engineering. It turns massive, messy datasets into knowledge, predictions and practical solutions. From autonomous systems and medicine to culture, society and the economy, data science helps us understand complexity and shape the future.
Experts who can turn large-scale data into insight are urgently needed to tackle today’s complex quantitative challenges. These include:
understanding text, conversations and social media content at scale
building intelligent search engines
uncovering data-driven insights into society, the economy and global culture
developing medical and biological applications
enabling autonomous systems such as self-driving cars and robots.
Data Science – one of the three focuses on Big Data
You can choose from three related specialisations that involve analysis, modelling, prediction and computation with big data:
the Data Science (MSc) specialisation
the Statistical Data Analytics (MSc) specialisation
the Signal Processing and Machine Learning (MSc Tech) specialisation
The Data Science and Statistical Data Analytics specialisations focus on computational and statistical algorithms for data mining and machine learning. Both specialisations include similar topics, but Data Science places more emphasis on algorithmic and computational aspects of data science and artificial intelligence. Signal Processing and Machine Learning focuses on developing accurate predictive machine learning models.
The Data Science specialisation focuses on the algorithmic and computational foundations of data analysis, machine learning, and artificial intelligence. You will study methods ranging from probabilistic modelling and efficient data mining algorithms to advanced deep learning with neural networks and network analysis. In addition to mastering these techniques, you will also learn to interpret results critically and present them effectively to decision-makers through clear summaries and visualisations.
Career Opportunities with a Degree in Data Science
As a graduate you will have knowledge and skills for data science, data analytics, statistical modelling and complex systems research, with an interdisciplinary and multi-methodological ability to understand the overall data science process. Such experts can be employed in research centres and universities, data science consultancy firms, as in-house analysts in companies producing big data, and in companies and organisations that gather and analyse public and private data, including government agencies, journalism, insurance, law enforcement, and finance, as well as in public and private academic institutions.
This Master's programme is taught in English. Before applying, please check our language requirements for Master's programmes.
Data Science (MSc) is one of the specialisations in the Master’s Programme in Computing Sciences and Electrical Engineering.
Curriculum
Detailed information on the content and structure of the studies is included in the curriculum.
Become a student
Learn more about the studies, admissions, and eligibility criteria on Studyinfo. In addition, applications are submitted via the Studyinfo.fi service.
Learning outcomes
After studying in our program, the student will learn to:
Collect, preprocess and integrate large-scale data from diverse sources
Select and justify appropriate computational, statistical, and machine-learning methods for open-ended problems
Interpret the results critically and communicate them clearly to data scientists, decision makeers, and wider audiences.
They will gain experience and expertise in one or more of the following sub-fields of data science:
Core machine learning methodology such as deep learning, language models and recommender systems
A combination of machine learning and statistical analysis of complex data sets, including time series data
Practical skills for data engineering and MLOPS
Analysis of complex networks
Key Courses
Statistical Modeling
Complex Networks
Data Engineering / Data Intensive Programming
Deep Learning
Recommender Systems Heading
The Curriculum
Please note that the curriculum is currently under revision, and changes may be introduced from autumn 2027. The revised curriculum will be available in March 2027.
Get to know the professors
Data Science Research at Tampere University
At the Data Science Research Centre, we advance research in data science and statistics, with applications in image processing, medicine, finance, and natural language processing. Our work spans machine learning, probabilistic modeling, survival analysis, and time-series methods. We focus on fair and transparent AI, recommender systems, and network science in social, biological, and financial systems.
Get to know Computing Sciences unit of the Faculty of Information Technology and Communication Sciences (ITC)
For more information
Please read through the information provided. For further questions regarding the application process, contact our Admissions office at admissions.tau@tuni.fi
