DIGITAL HEALTH

AIMS

This major aims at training general engineers with a focus on electronics and computer science, specialised in acquiring and processing data in the Digital Health sector.

ACQUIRED SKILLS

At the end of the training, you will be able to understand the entire data chain; deploy artificial intelligence solutions to problems in the healthcare sector; identify standards related to medical data, its storage and exploitation; work on the development of a hospital information system; develop a smart medical device; work with health professionals on a daily basis.

CAREER OPPORTUNITIES

You will access positions such as:

Project manager in charge of implementing Health Information Systems or new health modules interoperable with existing hospital information systems;
Medical home automation engineer;
R&D or software engineer in telemedicine or virtual reality for the medical sector;
Artificial intelligence expert engineer in healthcare.

Semester 8

The course is based on 2 main areas:

A core curriculum including Industry 4.0 and Smart-City majors with a balanced combination of hard sciences, data collection, processing and analysis;

A 112-hour project related to the major chosen in S9. Course Units common to all three majors:

Digital Health project: 112h -10 ECTS

Data Science: 28h - 3 ECTS

Instrumentation: 28h - 2 ECTS
Internet of Things: 28h - 3 ECTS
Big Data and Security: 28h - 3 ECTS - The digital information cycle
Artificial Intelligence 1: 28h - 3 ECTS - Methods and neural networks
Augmented Reality / Virtual Reality: 28h - 2 ECTS
English: 28h - 2 ECTS
Transversal Skills: 28h - 2 ECTS

Semester 9

The course is divided into 3 areas:

A core curriculum with 3 Course Units to cover in depth the various scientific concepts related to collecting, processing, analysing and storing data
A specific core of 5 Course Units related to the chosen major
A 168-hour industrial final year project

Course Units common to all three majors:

Distributed Infrastructure: 28h -2 ECTS
Large scale infrastructures, Quality of Service, Cloud computing
Flow Optimisation: 28h -2 ECTS Evolutionary Algorithms
Efficiency and Environment: 28h - 2 ECTS
Decision Support Systems (Predictive maintenance, diagnostics) / Energy and environment (Energy efficiency, Green IT)

Specific Course Units in Digital Health:

Information Systems / Hospital Information Systems: 28h - 2 ECTS
Valuation of Data: 28h -2 ECTS
AI Health Applications: 28h -2 ECTS
Biology, Physiology, Anatomy / How University Hospitals work: 28h -2 ECTS
Devices and Data: 28h - 2 ECTS Connected medical device –The Internet of Things applied to the health field / Medical data
Data standards, deployment standards of a medical device
Final Year Project: 168h - 14 ECTS