European School of Data Science and Technology - ESDST MSc in Data Science, Machine Learning & AI
European School of Data Science and Technology - ESDST

European School of Data Science and Technology - ESDST

MSc in Data Science, Machine Learning & AI

  • Déols, France
  • Baar, Switzerland

MSc

18 months

English

Full time

On-Campus

Key Summary

    About : The MSc in Data Science, Machine Learning & AI focuses on the design and implementation of complex data systems. Students learn essential skills in programming, statistical analysis, machine learning, and ethical data use over the duration of the course. The program prepares students to tackle real-world data challenges and enhances their understanding of AI technologies.
    Career Outcomes : Graduates could pursue various roles, including data scientist, machine learning engineer, and AI specialist. They may also find opportunities in sectors like finance, healthcare, and technology, where they can apply their analytical skills and knowledge of AI to drive innovative solutions.

Artificial Intelligence and Machine learning have emerged as a discipline that emphasizes the development of advanced data-driven computer programs that can access data and learn by themselves. This is aimed at removing human intervention in the most tedious of tasks.

Artificial Intelligence (AI) and Machine Learning (ML) play kin to it. Irrespective of the industry, AI and ML have drastically altered the landscape and invented new ways of looking at data. All are backed by standard statistical and mathematical principles.

This MSc in Data Science, Machine Learning & Artificial Intelligence clubs the nuances of both the disciplines to offer students exactly what is needed to understand the world of data in tools and, in theory, machine learning to enable students’ business decision-making and analytics

Students will discover the concepts and gain expertise in the usage and applications of algorithms of Artificial Intelligence and Machine Learning. They will have abundant opportunities to plunge into advanced concepts. Through hands-on projects, students will gain experience in the concepts behind search algorithms, clustering, classification, optimization, reinforcement learning and other topics and incorporate the learning in Python.

This program would enable students to embrace the concepts of AI and ML and understand their extension to their application. Students will work on projects involving the development of facial recognition systems and manipulation. Meticulously designed curriculum suitable to the industry needs with a high focus on practical applications.

Every student of ESDST is assisted by an industry-specific mentor. The mentor is responsible for guiding the students through the courses and offering them experiential and core learning with real-life examples.