Data Science

A revolution focused on Big Data. Mobile devices, sensors, web logs, instruments and transactions produce massive amounts of data by the second. As powerful new technologies emerge, Data science allows to gain insight by analyzing this large and often heterogeneous data.

EPFL’s Master’s program in Data Science offers a comprehensive education, from the foundations to implementation, from algorithms to database architecture, and from information theory to machine learning. The Master’s program is offered by the School of computer and communication sciences in collaboration with the School of basic sciences (mathematics) and the School of engineering (electrical engineering).

Program’s objectives

Data science extracts knowledge by analysis of large, noisy, complex, and often heterogeneous data. It is not only a new research paradigm but also at the root of innovative applications in all sectors of the economy. The goal of this Master’s program is to place students at the forefront of this exciting development.

Simplified study plan

Please note that the information regarding programs’ structure as well as the simplified study plans may be subject to change and that they are not legally binding. Only the official regulations and study plans are binding.

Scientific Euphoria - Kirell Benzi — Scientific Euphoria – Kirell Benzi

Admission criteria

This Master’s program is consecutive to a Bachelor’s degree in Computer Science or Communication Systems obtained at EPFL.

Non-EPFL degrees: Bachelor’s degrees obtained in the same fields but from another institution are eligible on the basis of an application dossier and must be accompanied by excellent academic records.
EPFL degrees: EPFL Bachelor’s degrees in another related field of science and engineering are also subject to a dossier-based analysis and are eligible if they are accompanied by excellent academic records.
Prerequisites for all applications: In addition, skills in mathematics, in particular in calculus, discrete mathematics, linear algebra and probability, as well as a solid understanding of algorithms, data structures, and databases are required.
Candidates should be proficient in programming languages (Python, Java, C++) and have experience in software development. Knowledge of operating systems, computer architecture, and the theory of computation is critical for developing and managing software systems across various levels.

The acquisition of additional credits to fill any gaps may be required.

Please note that meeting all of these criteria is no guarantee of admission.

Further information about admission criteria

Teaching language

English. Excellent English language skills are required to follow this Master’s program.

Diploma and title obtained

Upon completion of their Master’s curricula, students obtain an EPFL Master of Science MSc in Data Science. The diploma also gives graduates the right to use the title of EPF qualified Engineer.

Online application