FinlandMaster's

Data Science, Computing Sciences and Electrical Engineering, Master of Science (2 yrs)

Tampere UniversityTampere, Finland

Fee for international students

€12,000 a yearSource: Studyinfo
Intakes
Not published
Duration
Not published
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Programme facts

Level
Master's
Duration
Not published
Language of teaching
English
Study mode
Not published
Credits
120 ECTS
Intakes
Not published

About this programme

Make big sense of big data How do self-driving cars navigate city streets? How do streaming platforms predict what you’ll enjoy watching next? How can health data reveal life-saving insights, or social media data show what topics matter to millions of people? The answer is data science . 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; and enabling autonomous systems such as self-driving cars and 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. The Data Science (MSc) 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. Data Science is one of the specialisations in the Master’s Programme in Computing Sciences and Electrical Engineering.

Entry requirements

Prerequisites
A completed Bachelor's degree
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