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Université Côte d’Azur (UniCA) MSc in Data Sciences and Artificial Intelligence
Université Côte d’Azur (UniCA)

Université Côte d’Azur (UniCA)

MSc in Data Sciences and Artificial Intelligence

MSc

2 years

English

Full time

EUR 5,000 / per year

On-Campus

Key Summary

    About : The MSc in Data Sciences and Artificial Intelligence offers an in-depth understanding of data analysis, machine learning, and artificial intelligence. This program aims to equip students with essential skills to interpret and manage data effectively, preparing them for a rapidly evolving tech landscape. Students learn from hands-on projects and real-world applications, enhancing their learning experience over one year full-time or two years part-time.
    Career Outcomes : Graduates can explore various career paths in the tech industry, including roles such as data scientist, machine learning engineer, and AI researcher. The program prepares students for positions that require strong analytical skills and a deep understanding of artificial intelligence applications.

The MSc Data Science and Artificial Intelligence is one of the International Master of Science programs, created within the framework of the Initiative of Excellence UCA JEDI.

The MSc Data Science & Artificial Intelligence is an MSc awarded by Université Côte d'Azur.

The MSc Data Science and Artificial Intelligence is a 2-year MSc at Université Côte d’Azur. It provides training in data science & artificial intelligence methods, emphasizing mathematical and computer science perspectives. Students will receive a thorough grounding in theory, as well as learning the technical and practical skills of data science & Artificial Intelligence enabling them to apply advanced methods of data science to investigate real-world questions.

The core courses will provide students with a comprehensive understanding of some of the most fundamental aspects of data, computational techniques, and statistical analysis. The program will combine traditional lectures with computer lab sessions, in which students will work with data to complete hands-on exercises using programming tools and analyze real data provided by professionals who are working in the industry.