Your input will help us improve your experience.You can close this popup to continue using the website or choose an option below to register in or login.
This two-year English-taught Master’s program equips students with the essential skills to thrive in the fast-growing fields of Big Data, Data Science, and Artificial Intelligence. It combines advanced training in computer science and statistics to address large-scale data challenges across industries.
Program Highlights
• Strong focus on Machine Learning, Deep Learning, Data Mining, and Business Intelligence
• Hands-on experience with data storage, analytics, and distributed systems
• Courses designed to help students develop predictive models and extract knowledge from complex and heterogeneous datasets
• Technical training complemented by classes in Innovation, Project Management, and Business Fundamentals
• Career-oriented curriculum aligned with the needs of industries such as transportation, energy, healthcare, tourism, and more
Degree Awarded
A Master’s degree fully recognized by the French Ministry of Higher Education and Research, co-delivered with Institut Mines-Télécom (IMT).
Admission Requirements
• Bachelor’s degree (min. 3 years) in a relevant field (Computer Science, Engineering, Mathematics, Statistics, Physics, etc.)
• Strong background in mathematics (calculus, linear algebra, probability) and programming (e.g. Python, R, Java)
• Certified B2 level in English
• While French is not required for admission, students must obtain an A2 French level by graduation (French courses are provided)
This track is ideal for students aiming to develop both foundational knowledge and practical expertise in building data-driven systems and AI solutions.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This two-year English-taught Master’s program equips students with the essential skills to thrive in the fast-growing fields of Big Data, Data Science, and Artificial Intelligence. It combines advanced training in computer science and statistics to address large-scale data challenges across industries.
Program Highlights
• Strong focus on Machine Learning, Deep Learning, Data Mining, and Business Intelligence
• Hands-on experience with data storage, analytics, and distributed systems
• Courses designed to help students develop predictive models and extract knowledge from complex and heterogeneous datasets
• Technical training complemented by classes in Innovation, Project Management, and Business Fundamentals
• Career-oriented curriculum aligned with the needs of industries such as transportation, energy, healthcare, tourism, and more
Degree Awarded
A Master’s degree fully recognized by the French Ministry of Higher Education and Research, co-delivered with Institut Mines-Télécom (IMT).
Admission Requirements
• Bachelor’s degree (min. 3 years) in a relevant field (Computer Science, Engineering, Mathematics, Statistics, Physics, etc.)
• Strong background in mathematics (calculus, linear algebra, probability) and programming (e.g. Python, R, Java)
• Certified B2 level in English
• While French is not required for admission, students must obtain an A2 French level by graduation (French courses are provided)
This track is ideal for students aiming to develop both foundational knowledge and practical expertise in building data-driven systems and AI solutions.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master's Degree in Computer Science - Data Science Track
Campus SophiaTech, Sophia Antipolis, France
# 651-700QS Subject Rankings
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This two-year English-taught Master’s program equips students with the essential skills to thrive in the fast-growing fields of Big Data, Data Science, and Artificial Intelligence. It combines advanced training in computer science and statistics to address large-scale data challenges across industries.
Program Highlights
• Strong focus on Machine Learning, Deep Learning, Data Mining, and Business Intelligence
• Hands-on experience with data storage, analytics, and distributed systems
• Courses designed to help students develop predictive models and extract knowledge from complex and heterogeneous datasets
• Technical training complemented by classes in Innovation, Project Management, and Business Fundamentals
• Career-oriented curriculum aligned with the needs of industries such as transportation, energy, healthcare, tourism, and more
Degree Awarded
A Master’s degree fully recognized by the French Ministry of Higher Education and Research, co-delivered with Institut Mines-Télécom (IMT).
Admission Requirements
• Bachelor’s degree (min. 3 years) in a relevant field (Computer Science, Engineering, Mathematics, Statistics, Physics, etc.)
• Strong background in mathematics (calculus, linear algebra, probability) and programming (e.g. Python, R, Java)
• Certified B2 level in English
• While French is not required for admission, students must obtain an A2 French level by graduation (French courses are provided)
This track is ideal for students aiming to develop both foundational knowledge and practical expertise in building data-driven systems and AI solutions.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This two-year English-taught Master’s program equips students with the essential skills to thrive in the fast-growing fields of Big Data, Data Science, and Artificial Intelligence. It combines advanced training in computer science and statistics to address large-scale data challenges across industries.
Program Highlights
• Strong focus on Machine Learning, Deep Learning, Data Mining, and Business Intelligence
• Hands-on experience with data storage, analytics, and distributed systems
• Courses designed to help students develop predictive models and extract knowledge from complex and heterogeneous datasets
• Technical training complemented by classes in Innovation, Project Management, and Business Fundamentals
• Career-oriented curriculum aligned with the needs of industries such as transportation, energy, healthcare, tourism, and more
Degree Awarded
A Master’s degree fully recognized by the French Ministry of Higher Education and Research, co-delivered with Institut Mines-Télécom (IMT).
Admission Requirements
• Bachelor’s degree (min. 3 years) in a relevant field (Computer Science, Engineering, Mathematics, Statistics, Physics, etc.)
• Strong background in mathematics (calculus, linear algebra, probability) and programming (e.g. Python, R, Java)
• Certified B2 level in English
• While French is not required for admission, students must obtain an A2 French level by graduation (French courses are provided)
This track is ideal for students aiming to develop both foundational knowledge and practical expertise in building data-driven systems and AI solutions.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
More programmes from the university
Engineering and Technology (1)
Master's Degree in Computer Science - Data Science Track
Master's Degree in Computer Science - Data Science Track