The specialisation track in Machine Learning and Data Mining (MLDM) provides an original scientific position in Europe on problems related to machine learning, big data, pattern recognition, classification, modelling, knowledge extraction and data mining. These issues have a strong employability potential for students trained in the fields of data science, prediction, data analysis or decision support, as well as in the area of the Web, image and video processing, vision, health informatics, fraud and anomaly detection in text and documents, in the fields of environment, energy or biology.


RESEARCH AREAS

  • Machine Learning
  • Data Mining
  • Data Science
  • Data Analysis
  • Artificial Intelligence
  • Applications of Artificial Intelligence and Machine Learning


PREREQUISITES

Applicants must hold a Bachelor of Science degree level (i.e. 180 ECTS in the European system) or equivalent in:
  • computer science
  • or statistics
  • or mathematics


EMPLOYABILITY
MLDM prepares students for an academic career or an activity in the R&D centers of large groups that require expertise in data science. Some examples of career prospects:
  • Data Scientist
  • Data Analyst
  • Researcher
  • Project Leader
  • R&D engineer
  • Consultant
  • Data Engineer
  • Software Engineer
  • Computer Scientist


SUCCESS STORIES

Edward Beeching
Edward Beeching
Edward Beeching (cohort 2016-2018)
Home country: United Kingdom
Current position: Research scientist
Laboratory - Company: Hugging Face
Town – Country: Lyon, France


Natalia Fernandes
Natalia Fernandes
Natalia Fernandes (cohort 2017-2019)
Home country: Brazil
Current position: Data Scientist
Company: Volvo Group
Town – Country: Lyon, France


Andrei Mardale
Andrei Mardale
Andrei Mardale (cohort 2018-2020)
Manutech-SLEIGHT Attractiveness Scholarship in 2018/2019 and 2019/2020
Home country: Romania
Current position: Data Scientist
Company: Bolt
Town – Country: Bucurest, Romania



 

STUDENT STORIES