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

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

Tampere University
24 YearsSubject: Computer Science
University PageCompare
Course Score
/0
Graduate Salary
N/A
Satisfaction
N/A
Degree Completion
N/A
Professional Jobs
N/A
Meaningful Work
N/A

About this course

Make big sense of big dataHow 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.

Syllabus & Modules

Typical curriculum
Year 1 Modules
4 items
Advanced Algorithms
Core
View Module Details →
Machine Learning
Core
View Module Details →
Research Methods in Computing
Core
View Module Details →
Elective Module
Optional
View Module Details →
Year 2 Modules
2 items

Programme Info

Registry-level programme information.

Duration
2 years
Language of Instruction
EN
International Fees
€12,000
Per year, as published.
Domestic Fees
€0
Per year, as published.
Degree Type
Master

Tuition FeesVerified

Published annual tuition cost at Tampere University.

0
Per academic year (EU/EEA)
💰

Tuition-free for EU/EEA

EU/EEA students pay no tuition at Finnish public universities.

Will I get in?

Calculate your odds

Admissions requirements for international programmes vary by your qualification system (IB / A-Level / local HS diploma).

Tell us where you're studying, what qualifications you're taking, and your predicted results - we'll show your fit and the probability this programme will accept you.

Create student profile →

Course Match AI

When you create a free account, our Engine analyzes if this course perfectly fits your academic profile and builds Plan B Insurance alternatives natively powered by graduate trajectory data.

Unlock Dashboard

Entry Qualifications

Data not provided

This provider hasn't submitted entry qualification data to HESA for this course.

What comes next? 🎓

Choosing the right university starts with choosing the right school. Explore transparent, data-driven school profiles powered by official DfE statistics.

Explore Schools on WhatSchool.ai →