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Degree programme

Data Science, Computing Sciences and Electrical Engineering

Tampere University

Make big sense of big data with Data Science

How do self-driving cars safely navigate busy city streets? How do streaming platforms seem to know exactly what you’ll want to watch next? How can health data uncover life-saving insights, or social media trends reveal what matters to millions? The answer is data science, where raw information is turned into smarter decisions, deeper understanding, and real-world impact.

Type

Master's degree (University)

Degree earned

Master of Science

Planned duration

2 years

Extent of studies

120 ECTS credits

City

Tampere

Tuition fee for non-EU/EEA citizens

12000 € per academic year

Data science combines computer science, mathematics, and statistics with modern methods like machine learning, AI, and data engineering. It gives us the tools to turn massive, messy datasets into knowledge, predictions, and practical solutions. From robots and medicine to culture, society, and the economy, it is data science that helps us understand complex systems and shape the future.

Experts in large-scale data analysis are urgently needed to tackle today’s complex quantitative challenges. These include: 

  • automated understanding of text documents, conversations, and social media content
  • 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.

 

Learn more about Statistical Data Analytics

Check out Signal Processing and Machine Learning

 

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.

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.

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 or for questions regarding the content of the programme, please contact cs.programme.msc.tau@tuni.fi.