field(s) of training :
Science, Technology, Health
diploma level :
Master's degree (five-year degree)
duration of the program :
2 years
location(s) :
Caen
Course overview
Telehealth, ambulatory care, cardiology, nervous systems, psychiatry… Healthcare industry is going through major evolutions. To face the emerging issues linked to data (including big data), this on-demand industry needs to transform data into knowledge. More than ever, health professionals need computer science specialists to move toward 6P Medicine: preventive, predictive, participatory, personalised, pertinent and using platforms.
You wish to develop your knowledge on digital healthcare and work in the medical field? The master’s degree in Computer Science offers the Artificial Intelligence, Data Science and Health path to use your skills and knowledge in computer sciences for medicine!
This two-year full-time programme is organised by the Faculty of Sciences, providing the AI and data science curriculum, with the assistance of the Faculty of Health regarding the structure of course units. As such, this master’s degree benefits from partnerships with healthcare institutions, allowing you to put your knowledge and skills into practice during supervised projects and internships.
Highlights
You wish to acquire several data analysis and processing techniques? With the Artificial Intelligence, Data Science and Health path, you will learn to master the whole processing chain, from raw data collecting to data understanding and using in a computer programme. To do so, you will acquire skills in:
- Data mining
- Data engineering
- Machine learning
- Deep learning with neural networks
Course units will be both theoretical and practical, including studies of libraries and tools used by professionals. As such, this master's jointly organised with the Faculty of Health, which provides its expertise on the health sector.
Thanks to the NORMANTHIIA Project (website in French), this master's programme was funded by the French National Research Agency as part of the France 2030 investment plan, grant number ANR - 23 - CMAS - 0010.
Thanks to the SATIN Project (website in French), this master's programme was funded by the French National Research Agency as part of the France 2030 investment plan, grant number ANR - 22 - CMAS - 0015.
Application requirements
Entry requirements
To enter this master's, you should
- Master fundamentals in Computer Science, Applied Mathematics, or General Mathematics.
- Be interested by medicine and healthcare, since the curriculum is made to meet the needs of the healthcare industry.
Language proficiency requirements
Minimum French level required: C1
Minimum English level required: B2
Specific conditions
If you completed Year 1 of this master's, you will automatically enter Year 2.
If you completed Year 1 of another master's, you can apply to Year 2 of this master's.
Course structure
Courses
- Take place on the campus 2 (Caen), in the Faculty of Sciences of the University of Caen Normandy.
- Amount to 20 hours a week in Year 1, and 15 hours a week in Year 2; in addition to these contact hours, you will take part in 2 group projects that imply important personal work.
- Are completed by compulsory internships.
Course units
The curriculum of the Artificial Intelligence, Data Science and Health path is based on a selection of course units within the Algorithmics and Intelligent Systems. There are 16 units in Year 1, 7 in Year 2, all of them focusing on Artificial Intelligence.
Meanwhile, during Year 1, you will also attend course units focusing on data science and health. There are 10 units for the 2 years of the master’s degree, jointly organised with the Faculty of Health.
Besides, the master’s curriculum contains training units, such as:
- In Year 1: a year-long project
- In the 2nd semester of Year 2:
- A group project
- A research project within a laboratory
- A compulsory internship
Internships and placements
The master’s degree in Computer science includes 2 internships that can be done in a laboratory or a company:
- An optional internship in Year 1, up to 2 months
- A compulsory internship in Year 2, from 4 to 6 months
Coursework and assessment
The course lasts 2 years and is divided in 4 semesters, each comprising several courses units. Examinations take place through coursework and are graded on a scale from 0 to 20, 20 being the best grade.
To successfully complete a semester, you must have an average mark of at least 10 points out of 20. If you have not completed your semester, you can retake the courses units you failed; you do not have to retake the courses in which you have obtained at least 10 points out of 20.
Language
French
English
Learning outcome
By the end of this course, you will acquire skills and knowledge in several fields:
- Artificial intelligence
- Master fundamentals (machine learning, computer vision, natural language processing…)
- Solve complex problems (predictions and health diagnosis…)
- Use standard tools and libraries in practical projects
- Data science
- Analyse, process, visualise complexe data sets
- Apply statistical methods to modelling and prediction
- Health
- Master healthcare industry issues and challenges (data, electronic health record, hospital information systems…)
- Work with health professionals to support their missions, such as: make quicker and more precise diagnoses and treatments, develop new medicine, know cells better
Further study
Once you’ve obtained your master’s degree in Computer science, you can pursue doctoral studies.
Careers
Healthcare and eHealth are highly in-demand industries, offering many career opportunities both in private and public services, such as:
- Digital research and development engineer or project leader
- Head of information systems in health organisations
- Healthcare start-ups leader or manager
Address
Université de Caen Normandie
UFR des Sciences
Boulevard Maréchal Juin · CS 14032 · 14032 Caen Cedex 5
France
Course leader
formation : Fabrice Maurel · fabrice.maurel@unicaen.fr