Presentation
A free full-time training program, from September 15 to December 22, 2025, with an optional professional internship project with a company/institution between January and March 2026.
Program
I. Data Science techniques
Core curriculum (300 hours of theory and practice)
- Introduction to Data science in Health and Life sciences
- Data collection in Health and Life sciences
- Statistical modelling
- Machine learning
- Introduction to Large Language Models
- Python for Data science (manipulation, visualisation & analysis)
- Introduction to cloud computing
- Regulatory and security frameworks (GDPR and cybersecurity principles)
- Data Integrity
- Soft skills (change management, digital transition and communication, job research)
II. Choice of orientation
160 hours of theory and practice
How are Data Science and AI revolutionising pharmaceutical development?
- Drug discovery & Non-clinical Development
- Early Clinical Development
- Confirmatory Development Clinical
- Clinical Trial Data Collection, Analysis, and Real-World Data Integration
- Pharmacovigilance & Adverse Events
- Market access & commercialisation
- Working environments : Clinical processes, workflows in a medical environment
- Healthcare data ecosystem
- Digital technology and AI in healthcare
- Digital health software
- Image processing
- Overview of digital maturity in biotechnology
- Fundamentals of cellular and molecular biology & bioinformatics
- High-throughput techniques applied to genomics, epigenomics, proteomics and metabolomics: description of technologies and applications, associated data analysis (with python, R software)
- Image processing and associated data analysis
- Bioproduction and associated data analysis
Partenaires
Cette formation est organisée en collaboration avec le FSE et le FOREM
Registration now open !
Info
Course Dates
September 15 to December 22, 2025
(to end of March 2026, professionnal project included)
Duration
- 460 hours of training towards a professional practice
- 360 hours dedicated to a professional project
Location
- ULB-HeLSci Gosselies & remote
- Professional project partly on the company or institution’s site
Admission
Target Audience
- Bachelor’s in science
- Bachelor’s in IT
- Any Master and/or PhD degree
- Other degree (subject to acceptance by the admissions Jury)
Only accessible to jobseekers (over the age of 30)
If you are a young graduate and/or job seeker under 30, click here: University certificate Data Science applied to Health and Life Sciences
Pre-requisite
B2 English and French level (Training is 75% in English and 25% in French)
Affinity with programming and/or statistics
Fees
Jobseekers : Free
The @data training course will run from September 15 to December 22, 2025.
You must be available Monday to Friday from 9am to 5pm during this period.
Attendance is mandatory. Distance learning courses will not be available on a deferred basis.
If you meet these conditions, you can participate in the selection process for admission to this training program.
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Pour vous inscrire à nos formations, veuillez suivre les étapes ci-dessous :
- Complétez les formulaires via le bouton ci-dessous.
- Assurez-vous d’utiliser la même adresse e-mail pour tous les formulaires d’inscription.
- Veuillez vérifier que les informations que vous fournissez correspondent exactement aux données figurant sur votre carte d’identité.
- Attention: si vous êtes ressortissant d’un pays hors Union européenne, vous devez impérativement finaliser votre procédure d’inscription au moins 2 mois avant le début de la formation. Ce délai est nécessaire pour obtenir votre visa. Au-delà de cette date, votre inscription ne sera plus possible.
Contact
Valérie LAMBERT
02 555 85 17
helsci@ulb.be
