Master of Science in Data Science, Computing Sciences and Electrical Engineering
Tampere, Finland
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
03 Jan 2025*
EARLIEST START DATE
Aug 2025
TUITION FEES
EUR 12,000 / per year **
STUDY FORMAT
On-Campus
* Application for studies starting in autumn 2025 begins 11 December 2024 and ends 3 January 2025
** per academic year for non-EU/EEA students
Introduction
Make big sense of big data
Big data and data-driven methods are at the center of modern computer science, statistics, and computer engineering and hold great promise for the future.
Experts in analyzing data are needed for solving challenging data-driven problems such as understanding text documents, conversation, and social media; creating intelligent search engines; finding data-driven insights into phenomena of society, economy, and culture; creating data-driven solutions for medical and biological problems, and enabling self-driving cars and autonomous robots.
Tampere University offers three related specializations that involve analysis, modeling, prediction, and computation with big data: the Data Science (MSc) specialization and the Statistical Data Analytics (MSc) specialization focus on computational and statistical algorithms for data mining and machine learning, with differing emphases, and the Signal Processing and Machine Learning (MSc Tech) specialization focuses on engineering accurate predictive machine learning models.
The Data Science (MSc) specialization features several similar topic areas as the Statistical Data Analytics specialization, but the Data Science (MSc) specialization places more emphasis on algorithmic and computational aspects of data science and artificial intelligence.
Data Science (MSc) teaches you to understand data analysis and master necessary skills, such as data cleansing, integration, modeling 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 visualizations.
Data Science (MSc) is one of the specializations in the Master’s Programme in Computing Sciences and Electrical Engineering.
Admissions
Curriculum
Study contents
The analysis of data has a central role in modern information society. Organizations in both the public and private sectors are collecting vast data sets, and an increasing amount of public sector data is made open. However, data - assumed to be an important asset for organizations - is useless unless it is analyzed. The analysis is required to find regularities, such as trends or groupings, and to relate the data to other data sets within an organization or in scattered online repositories.
Analysis needs activities such as data cleansing and other preprocessing, data integration, modeling and prediction, interactive and iterative visualization of data, and models for the refinement of hypotheses and models. The presentation of intermediate and final results to decision-makers requires mastery of visualization and reporting methods. Successful analysts need skills in both computational and statistical topics.
This specialization educates top-level experts in computational and statistical data analysis who possess knowledge and skills for the aforementioned tasks and understand the overall processes of data analysis.
Structure of studies
Master’s degree comprises 120 ECTS credits. Each ECTS credit is about 27 hours of student work. Depending on the specialization, courses are worth 90 ECTS and the remaining 30 ECTS are awarded for successfully completing a Master's thesis. The duration of the program is two years. Students usually spend three semesters completing courses and one semester preparing the Master's thesis. The studies start in late August, and the academic year ends in late May.
Master’s Programme in Computing Sciences consists of seven specializations, leading either to a Master of Science, or Master of Science in Technology degree:
- Data Science (MSc)
- Human-Technology Interaction (MSc)
- Human-Technology Interaction (MSc Tech)
- Signal Processing and Machine Learning (MSc Tech)
- Software, Web & Cloud (MSc)
- Software, Web & Cloud (MSc Tech)
- Statistical Data Analytics (MSc).
Students admitted to a Master’s Programme may be required to complement their earlier degree with complementary studies. The complementary studies will be decided at the faculty case by case (maximum 60 ECTS credits).
Scholarships and Funding
Tampere University Tuition Fee Scholarships
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.
Early bird offer
While Tampere University scholarships are available to a limited number of applicants, the early bird offer is available at admission to all fee-paying students. The early bird offer gives a 1500 € reduction on the programme tuition fee during the first year of studies.
Gallery
Career Opportunities
As a graduate, you will have knowledge and skills for data analytics and understand the overall data analytics process. Such analysts can be employed in analysis firms, as in-house analysts in companies producing big data, and in companies and organizations that gather and analyze public and private data, including government agencies, journalism, insurance, law enforcement, and finance, as well as in public and private research.
Co-operation with other parties
In addition to studies in one’s own Master’s Programme, students may take full advantage of the teaching offered by the Tampere higher education community ranging from technical to vocational studies in various fields.
Further study opportunities
This master's degree provides the required background if you wish to pursue doctoral studies at Tampere University or elsewhere. There are no tuition fees for doctoral studies at Tampere University.
Program Tuition Fee
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.