Statistical Data Analytics, Computing Sciences and Electrical Engineering
Make big sense of big data with Statistical Data Analytics
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Statistical Data Analytics combines statistics, computer science, and mathematics with state of the art machine learning and artificial intelligence methods. It gives the tools to design and optimize the best performing explanations, models and predictions, and to measure and manage uncertainty and risk. It is the key to achieving trustworthy, transparent and fair insights and predictions in today’s world. Statistical Data Analytics is a core part of advancing society, culture, technology, economy, and science.
Experts on analysing data are strongly needed for solving challenging problems including:
understanding text documents, conversations and social media
creating intelligent search engines
finding data-driven insights into society, economy and culture
creating data-driven solutions for medical and biological problems
enabling self-driving cars and autonomous robots.
Statistical Data Analytics – 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 Statistical Data Analytics (MSc) specialisation
the Data Science (MSc) specialisation
the Signal Processing and Machine Learning (MSc Tech) specialisation
Both the Statistical Data Analytics and the Data Science specialisations focus on computational and statistical algorithms for data mining and machine learning when the Signal Processing and Machine Learning specialisation focuses on engineering accurate predictive machine learning models.
Even though Statistical Data Analytics features several similar topic areas as Data Science, Statistical Data Analytics places more emphasis on aspects of data science and artificial intelligence where statistical understanding and modeling of data uncertainty, variation and dependency is a crucial advantage. Statistical Data Analytics is the central skillset to create trustworthy, transparent and fair solutions for the needs of the modern artificial intelligence revolution.
Learn more about Data Science
Check out also Signal Processing and Machine Learning
Read more about Data Science Research Centre
Statistical Data Analytics (MSc) is one of the specialisations in the Master’s Programme in Computing Sciences and Electrical Engineering.
While there may be courses that are available online, studies at Master's Programme in Computing Sciences and Electrical Engineering require on-campus attendance.
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 the Statistical Data Analytics (MSc) track, the student will learn to:
Collect, preprocess and integrating data from different data sources
Choose suitable data analysis methods for the tasks at hand from a wide selection of computational and statistical methods
Understand how well the methods may perform in different situations.
Understand the algorithmic and computational aspects of the methods.
Apply these methods to analyse data and interpret results critically.
Visualise the data / analysis results.
Depending on their chosen courses, they will gain experience in several core methodologies including:
Efficient computational and statistical methods to manage and analyse big data, including computational algorithms such as efficient parallel computing
Optimization approaches
A variety of statistical modelling approaches such as network analysis, classification, regression, and Bayesian inference.
Machine learning and artificial intelligence methods including deep neural network models
Methods for time series analysis
Methods for financial data analysis
Recommender systems
Text data analysis with several statistical approaches including large language models
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 organisations that gather and analyse public and private data and use artificial intelligence, including government agencies, journalism, insurance, law enforcement, and finance, as well as in public and private research.
Statistical Data Analytics (MSc) is one of the specialisations in the Master’s Programme in Computing Sciences and Electrical Engineering.
Key courses
Statistical Modeling
Introduction to Bayesian Analysis
Recommender Systems
Deep Learning
Time Series Analysis
Statistical Methods for Text Data Analysis
Neural Language Models
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.
Data Science research centre
The Statistical Data Analytics (MSc) track relates to research in the Data Science research centre, introduced in this video
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