Program Overview

Introduction to the Master's Program in Data Science

The Master's program in Data Science at EPFL offers a comprehensive education, from the foundations to implementation, from algorithms to database architecture, and from information theory to machine learning. This 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 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

The Master's program consists of 120 ECTS credits. 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.

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 in the same fields are eligible on the basis of an application dossier and must be accompanied by excellent academic records. 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.

Teaching Language

The teaching language for this Master's program is English. Excellent English language skills are required to follow this 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.

Program Details

• The program focuses on Big Data, allowing students to gain insight by analyzing large and often heterogeneous data.
• It covers foundations to implementation, from algorithms to database architecture, and from information theory to machine learning.
• The program is designed to place students at the forefront of the exciting development in data science.
  • Skills in mathematics, programming languages, and software development are required.
  • Knowledge of operating systems, computer architecture, and the theory of computation is also critical.
• The program is offered by the School of Computer and Communication Sciences in collaboration with other schools, ensuring a comprehensive education.