Specialty – Artificial Intelligence and Data Sciences (IAD)
The objective of the IAD programme is to train engineering students in the techniques and methods underpinning Artificial Intelligence and Data Sciences in a broad connotation. The fields covered are knowledge engineering, learning processes, data engineering and decision support methods.
IAD training focusses specifically on three areas: the constitution and structuring of databases or data warehouses, with data incoming from sometimes heterogeneous sources or systems; the exploitation of data using data analysis tools (data mining) and machine learning; and knowledge management.
Engineers taking the IAD programme therefore acquire new skills in:
- in databases, data warehouses, data distribution and calculations (CC NF26),
- data analysis and machine learning: factorial analysis, automatic classification, segmentation, discriminant analysis, decision trees, artificial neural networks, etc. (CCs SY09 and SY19),
- Knowledge management: knowledge extraction and management, knowledge capitalisation, indexing and information retrieval, rule-based and model-based reasoning, reactive and cognitive agents, etc. (CCs IA03, IA04 and LO17).
The academic teaching team
The academic teaching team comprises lecturers from the CID team of the CNRS UTC Heudiasyc UMR7253 research laboratory. The research activities of the team are related to AI (artificial intelligence). The research carried out in CID concerns statistical learning, uncertainty management and knowledge engineering with applications to knowledge capitalisation, path recommendation and the scripting of virtual environments.
The courses are implemented via supervised sessions and project work, on UTC based machines or on dedicated servers for certain courses.
Placements/internships and industrial relations
In addition, conferences are organized each year to complement the classroom courses and provide a different perspective on current issues. Finally, a Pedagogical Advisory Committee brings together UTC teaching staff and external experts from industry and other educational establishments in order to adapt the content to developments ongoing in the field. The range of internships offered is rich and varied.
Students who take the IAD programme are able to spend numerous semesters abroad (Canada, Sweden, Spain, USA, Japan, etc.). They can also continue their training during their stays abroad, as the partner institutions generally offer similar or even complementary courses to those of the UTC programme. A certain number of end-of-study projects concern international work.
The main job opportunities, among others, are:
- Data scientist. Design of learning and analytical methods, evaluation of methods, academic or industrial research, etc.;
- Data engineer. Implementation of learning methods, data pipeline design, data analysis, business intelligence, etc.
- Knowledge engineer. Knowledge extraction and management, business process modelling, knowledge capitalization, web programming, etc.
The triple skills acquired in data science, data warehouse management and knowledge engineering, all of which are highly valued by business sector companies, enable the graduate to hold a profession in a wide variety of sectors of activity:
- for companies specializing in information handling technologies, in particular software publishers (Dassault, SAP, etc.);
- for companies or administrations (banks, insurance companies, industrial production, distribution, telecommunications, etc.);
- with IT services and engineering companies (SSIIs).