Digital Life Sciences

Digital Life Sciences is one of the four majors that make up the Bachelor of Science in Life Sciences Engineering. This major offers a broad programme of study that will enable you to discover and master many aspects of the life sciences through the prism of digitalization. You will learn to apply advanced data visualization techniques to analyze and interpret complex data, while acquiring skills in programming, artificial intelligence, machine learning, data engineering and simulation.

In addition, you will have the opportunity to personalize your academic pathway by choosing a specialisation in either Food Technology and Biotechnology, Biotechnology or Analytical and Bioanalytical Chemistry. This will enable you to delve deeper into a subject and specialize through your Digital Life Sciences major by implementing modules related to the other majors into your curriculum.

Digital Life Sciences shares in part a common curriculum with the other four majors in the Bachelor's degree in Life Sciences Engineering. You can find more information about the Digital Life Sciences study programme directly on the Bachelor in Life Sciences Engineering page.

Study Programme

• Operating systems, Code and Computation
• Advanced Programming and Algorithms
• Starting with ML/AI
• Projet lab : Applied Statistics, Visualisation and Story telling
• Measurement, Control and Regulation
• Numerical Methods and Simulation
• Low code in Automation and Production
• Physical Computation Systems
• Database Networks and HPC
• ML /AI
• Applied Statistics
• OMICS
• Project: Industry application
• Real-time Computation, Model Predictive Control
• Project: Process Analytical Technology (PAT)
• Project: Process Design and Simulation
• Project: Digital Life Siences

With the following specializations for Digital Life Sciences

And the following elective modules

• Food Sensitivity and Toxicology
• Consumer Research
• Flavour Technology and Sensory Perception
• Factory and Hygenic Design
• Business Experience BEX
• Applied Enzyme Technology
• Industrial Enzymatic Biotransformations for Sustainability
• Measurement and Control Technology
• Biosensors Design and Applications
• Chemistry of Biomolecules 
• Analytics of Food Products
• DNA Sequencing in Life Sciences
• Flow Cytometry (FC): Principles and Applications

Concretely

The Digital Life Sciences engineer masters the concepts of digital life sciences and data engineering, and uses innovative, sustainable, cutting-edge techniques to analyse and interpret complex biological data, helping to solve present and future industry challenges.

Career Prospects

• Data Analytics (Biosciences)
• Scientific Data & Machine Learning Engineer
• Development Engineer
• Data Scientist
• Engineer in simulation et biological modellisation 
• Data engineer
• Data Architect
• Recipe programmer
• Automation engineer