Masters in Computer Science & IT

Data Science & Big Data

Suggested Masters in Data Science & Big Data

M.Sc. Data Science (DSC)

The Data Science (DSC) Master’s at EIT Digital Master School offers a unique academic programme, whereby students can study data science, innovation, and entrepreneurship at leading European universities. In this programme, students will learn about scalable data collection techniques, data analysis methods, and a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, and visualization, and related concepts.

M.Sc. Information Technology

Information Technology is an integral part of numerous everyday products. Related applications are involved in nearly all the fields of engineering, ranging from architectural design to control and monitoring functions in manufacturing industries. The Master’s degree Programme in Information Technology from Tampere University of Technology will qualify you for rewarding careers in a wide array of industries.

Faculty of Computing and Electrical Engineering

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Data science and big data refers to manipulating data using mathematic and algorithmic methods to solve complex problems analytically. The data science and big data discipline covers models, methods, tools and techniques in dealing with various types of data. As a part of competitive intelligence, this new emerging field is considered a great asset from a business point of view. One of the most important aspects of data science and big data is that it can convert data into clear information and knowledge that is understandable by audiences without a scientific background.

The data science and big data discipline is strongly connected with computer science and IT, engineering and business and applied mathematics.

Courses provided to students in data science and big data cover topics such as: databases and relational algebra, visual data analytics, different types of machine learning, visual encodings and statistical rigor.

Studying data science and big data, students will acquire solid mathematical skills as well as strong business strategy thinking. Data inference and exploration requires competence of tactical optimisation and attention to detail in order to extract relevant insights from high quantities of raw information. Students also gain basic skills like analytical rigor and ability to explain the significance of data in a way that can be easily understood by others.

The type of careers data science graduates pursue include: statistician, quantitative analyst, decision support engineering analyst.

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