Human and social sciences

Department manager : Damien Pellier
MIASHS bachelor's degree coordinator: Daniel Bardou
MIASHS Master's program coordinator: Jérôme Gensel

MIASHS degree

Master MIASHS

This specialization offers a highly interdisciplinary training program. Its aim is to train specialists in computer science, statistics, data processing and economic analysis. 

The different routes :
 

•  Computers and cognition

  This course trains computer scientists to master the methods of artificial intelligence (symbolic and statistical/machine learning), cognitive science (ergonomics, modeling and experimental evaluation methodology), and the main programming languages (Java, JS, Python, PHP) and web frameworks used in the digital sector. The Computer Science and Cognition pathway prepares students for software engineering and opens the door to research in cognitive science, with the possibility of enrolling in the M2 Cognitive Science (natural and artificial cognition pathway).

•  Business and data analyst

•  Double Competence: Computing and Social Sciences (DCISS)

         This course is designed for students with a bachelor's degree in a field other than computer science. It enables students to build on their initial skills with solid training in IT development: Java programming, databases, web development, systems and networks, software engineering, HMI, artificial intelligence, automatic language processing. 
 

• Statistics and Data Science (SSD)

       The aim of this course is to train professionals in statistics and data science for industry, service companies (marketing, IT, development), banking and insurance. The professions targeted are statistician, data scientist, statistical expert, biostatistician, statistical studies officer, data modeling officer, statistical programmer, data manager. 
This is a vocational course offering a rapid introduction to project production and management. It is also supported by internships and tutored projects in a multidisciplinary environment.
Students acquire in-depth knowledge of statistical concepts and master the statistical tools used to analyze large databases.