Holders of a short-type diploma in computer science
Master block 0
Master block 1
Master block 2
Bridge programme for chemists, biologists or agronomists
Holders of a Bachelor degree in chemistry, biology or agronomy
Master block 0
Master block 1
Master block 2
Lesson grid : Bachelor block 1 (2024-2025)
Teaching units of the 1st Quadrimester
Basics of computer science 1 (4 ECTS)
Computer science and new technologies
Programming techniques 1
Chemistry 1 (5 ECTS)
General chemistry 1: theory and applications
General chemistry 1: seminars
Sustainable development and green chemistry
General mathematics (6 ECTS)
Algebra
Analysis
Rational mechanics 1 (3 ECTS)
Mechanics: applications
Mechanics: theory
Physics 1 (3 ECTS)
Physics 1: labs
Physics 1: theory and applications
Materials techniques 1 (2 ECTS)
Materials techniques 1: applications
Materials techniques 1: theory
Techniques in computer graphics 1 (3 ECTS)
CAD
Technical drawing by hand
Use of graphs
Teaching units of the 2nd Quadrimester
Chemistry 2 (5 ECTS)
Chimie générale 2 : laboratoires et exercices
General chemistry 2: theory and applications
Communication and languages (2 ECTS)
Communication and languages: English 1
Electricity 1 (6 ECTS)
Electricity: labs and exercises
Electrostatics and electrokinetics
Applied mathematics 1 (6 ECTS)
Applied analysis 1
Geometry
Mechanics and materials science 1 (3 ECTS)
Introduction to structural analysis
Rational mechanics 2 (5 ECTS)
Kinematics, statics and dynamics: applications
Kinematics, statics and dynamics: theory
Physics 2 (3 ECTS)
Physics 2: labs
Physics 2: theory and applications
Materials techniques 2 (2 ECTS)
Materials techniques 2: applications
Materials techniques 2: theory
Teaching units of the year
Scientific methodology (2 ECTS)
Methodology: Project (in Computer Science or Building)
Scientific methodology: applications
Scientific methodology: theory
Lesson grid : Bachelor block 2 (2024-2025)
Teaching units of the 1st Quadrimester
Electricity 2 (5 ECTS)
Electricity 2: applications
Electricity 2: theory
Electronics (2 ECTS)
Electronics of semi-conductors 1: theory
Electronics of semi-conductors 1: labs
Applied mathematics 2 (4 ECTS)
Applied analysis 2
Fluid mechanics (2 ECTS)
Fluid mechanics: applications
Fluid mechanics: theory
Mechanics and materials sciences 2 (2 ECTS)
Theory of beams
Mechanics and applied thermodynamics 1 (5 ECTS)
Mechanics and applied thermodynamics 1: exercises
Mechanics and applied thermodynamics 1: theory
Physics 3 (2 ECTS)
Physics 3: labs
Physics 3: theory
Specific course units : Life Data Technology Group
Basics of computer science 2 (3 ECTS)
Architectures of IT systems
Programming techniques 2
Chemistry 3 (1 ECTS)
Organic chemistry
Chemistry 4 (4 ECTS)
Biochemistry
Instrumental analytical chemistry
Teaching units of the 2nd Quadrimester
Biology (2 ECTS)
Biology and environment
Communication and languages (2 ECTS)
Communication and languages: English 2
Entrepreneurial management (3 ECTS)
Corporate general accounting: applications and case studies
Corporate general accounting: general principles
Statistics (2 ECTS)
Statistics
Specific course units : Life Data Technology Group
Basics of computer science 3 (2 ECTS)
Programming of graphic interfaces
Biology 2 (3 ECTS)
Biology 2
Electronics supplements (3 ECTS)
Electronics of semi-conductors 2: labs
Electronics of semi-conductors 2: theory
Bioinformatics techniques 1 (4 ECTS)
Bioinformatics algorithms and resources
Advanced programming techniques 1 (5 ECTS)
Video game programming
Object-oriented programming
Signal processing 1 (4 ECTS)
Operational calculus of Laplace
Sinusoidal signals and phasors
Lesson grid : Bachelor block 3 (2024-2025)
Teaching units of the 1st Quadrimester
Fluid machines (2 ECTS)
Fluid machines
Specific course units : Life Data Technology Group
Communication and languages (2 ECTS)
Communication and languages: English 3
Applied electronics (3 ECTS)
Microcontroller programming
Applied electronics project
Introduction to molecular biology (3 ECTS)
Génomique
Immunology
Proteomics
The company: context, structure and issues (2 ECTS)
Economics
Structural organisation of businesses
Business strategies
Computer systems and networks 1 (3 ECTS)
Network topology and architecture
Network protocols
Operating systems (2 ECTS)
Operating systems
Techniques of industrial measurements (2 ECTS)
Industrial sensors: labs
Industrial sensors: theory
Advanced programming techniques 2 (4 ECTS)
Programming techniques project
Programming techniques 3
Information processing (4 ECTS)
Relational databases: labs
Relational databases: theory and exercises
Data structure
Signal processing 2 (3 ECTS)
Frequency analysis of signals
Analogue signals filtering
Teaching units of the 2nd Quadrimester
Specific course units : Life Data Technology Group
Professional integration activities (10 ECTS)
Work placement (6 weeks)
Digital electronics (6 ECTS)
Programmable components
Digital electronics: labs
Digital electronics: theory
Electrical engineering and electronics (5 ECTS)
Electrical engineering: labs
Applied eletronics and electrical engineering: labs
Electrical machines and networks
Immunologie (2 ECTS)
Immunology
Fluid machines labs (1 ECTS)
Fluid machines labs
Bioinformatic modelling (4 ECTS)
Supplements of bioinformatic techniques
Biological systems modelling
Ressources bioinformatiques (2 ECTS)
Biological data banks and indexing
Lesson grid : Master block 1 (2024-2025)
Teaching units of the 1st Quadrimester
Spectrum analysis (5 ECTS)
Spectrum analysis: labs
Spectrum analysis: theory
Advanced databases (4 ECTS)
Server architectures
Relational databases: advanced course
Big Data and NoSQL systems
Biopharmacy and quality (4 ECTS)
Cell culture
GMP-GLP
Business intelligence (2 ECTS)
Data retrieval and analysis
OLAP and reporting
Génie enzymatique (4 ECTS)
Enzyme engineering
Labs of enzyme engineering
Genetic engineering (4 ECTS)
Genetic engineering
Lab of genetic engineering
Langage R et bioinformatique (4 ECTS)
Application du langage R à la transcriptomique
Introduction à la programmation R
Language (2 ECTS)
English
Project Management (1 ECTS)
Project Management
Teaching units of the 2nd Quadrimester
Bioinformatic analysis of proteome (2 ECTS)
Proteomic data analysis
Annotation of a genome (3 ECTS)
Annotation of a genome: case studies
Parallel architectures (2 ECTS)
Parallelism: labs
Parallelism: theory
Biostatistics 1 (3 ECTS)
Introduction to biostatistics
Sensors (2 ECTS)
Biosensors
Supplements in Big Data (2 ECTS)
Supplements in Big Data
Informatique pour le séquençage (6 ECTS)
Exploitation of bioinformatic resources
High-throughput sequencing algorithms
Artificial intelligence (4 ECTS)
Artificial Intelligence
Preparation of professional environment (1 ECTS)
Preparation of professional environment
Data protection (2 ECTS)
Data computer management
Personal data protection
New generation sequencing (3 ECTS)
Introduction to NGS
Lesson grid : Master block 2 (2024-2025)
Teaching units of the 1st Quadrimester
Managerial skills (1 ECTS)
Managerial skills
Ethics and deontology (1 ECTS)
Ethics and deontology
International management and Human resources (3 ECTS)
Contemporary management pillars
Human resources management
International management
Numerical methods in ecology (2 ECTS)
Quantitative ecology and modelling
Elements of ecology
Combinatorial optimization (5 ECTS)
Combinatorial optimization: project
Combinatorial optimization: project
Phylogenetic analysis (2 ECTS)
Phylogenetic analysis
Environmental issues (2 ECTS)
Green IT
CO2 issue and carbon footprint
Research project: collection and use of omic data (3 ECTS)
Computational biology project
Omic project
Entrepreneurial and management project (4 ECTS)
Intercultural communication
Entrepreneurial project
Seminar on management simulation (4 ECTS)
Preparation for management simulation
Seminar on management simulation
Trends in bioinformatics (3 ECTS)
Precision Health
Trends in bioinformatics
Teaching units of the 2nd Quadrimester
Teaching units of the year
End of studies project in a company (30 ECTS)
Work placements (min. 13 weeks)
Final dissertation
Lesson grid : Master block 0 (2024-2025)
Teaching units of the 1st Quadrimester
The company: context, structure and issues (2 ECTS)
Economics
Structural organisation of businesses
Business strategies
Fluid machines (2 ECTS)
Fluid machines
Refresher course: mathematics (3 ECTS)
Mathematics applied to computer science
Refresher course: fluid mechanics (3 ECTS)
Fluid mechanics
Techniques of industrial measurements (2 ECTS)
Industrial sensors: labs
Industrial sensors: theory
Signal processing 2 (3 ECTS)
Frequency analysis of signals
Analogue signals filtering
Specific course units : Bridge from Biotec
Basics of computer science 2 (4 ECTS)
Architectures of IT systems
Programming techniques 2
Advanced programming techniques 2 (4 ECTS)
Programming techniques project
Programming techniques 3
Information processing (4 ECTS)
Relational databases: labs
Relational databases: theory and exercises
Data structure
Teaching units of the 2nd Quadrimester
Communication and languages (2 ECTS)
Communication and languages: English 3
Electronics supplements (3 ECTS)
Electronics of semi-conductors 2: labs
Electronics of semi-conductors 2: theory
Entrepreneurial management (3 ECTS)
Corporate general accounting: applications and case studies
Corporate general accounting: general principles
Fluid machines labs (1 ECTS)
Fluid machines labs
Refresher course: thermodynamics (3 ECTS)
Thermodynamics: theory
Thermodynamics: practical work
Statistics (2 ECTS)
Statistics
Specific course units : Bridge from Biotec
Basics of computer science 3 (2 ECTS)
Programming of graphic interfaces
Advanced programming techniques 1 (5 ECTS)
Video game programming
Object-oriented programming
Lesson grid : Master block 0 (2024-2025)
Teaching units of the 1st Quadrimester
The company: context, structure and issues (2 ECTS)
Economics
Structural organisation of businesses
Business strategies
Fluid machines (2 ECTS)
Fluid machines
Refresher course: mathematics (3 ECTS)
Mathematics applied to computer science
Refresher course: fluid mechanics (3 ECTS)
Fluid mechanics
Techniques of industrial measurements (2 ECTS)
Industrial sensors: labs
Industrial sensors: theory
Signal processing 2 (3 ECTS)
Frequency analysis of signals
Analogue signals filtering
Specific course units : Bridge from Computer Sciences
Chemistry 4 (4 ECTS)
Biochemistry
Instrumental analytical chemistry
Introduction to molecular biology (3 ECTS)
Génomique
Immunology
Proteomics
Teaching units of the 2nd Quadrimester
Communication and languages (2 ECTS)
Communication and languages: English 3
Electronics supplements (3 ECTS)
Electronics of semi-conductors 2: labs
Electronics of semi-conductors 2: theory
Entrepreneurial management (3 ECTS)
Corporate general accounting: applications and case studies
Corporate general accounting: general principles
Fluid machines labs (1 ECTS)
Fluid machines labs
Refresher course: thermodynamics (3 ECTS)
Thermodynamics: theory
Thermodynamics: practical work
Statistics (2 ECTS)
Statistics
Specific course units : Bridge from Computer Sciences
Biology 2 (3 ECTS)
Biology 2
Immunologie (2 ECTS)
Immunology
Bioinformatic modelling (4 ECTS)
Supplements of bioinformatic techniques
Biological systems modelling
Ressources bioinformatiques (2 ECTS)
Biological data banks and indexing
Bioinformatics techniques 1 (4 ECTS)
Bioinformatics algorithms and resources
Lesson grid : Master block 0 (2024-2025)
Teaching units of the 1st Quadrimester
The company: context, structure and issues (2 ECTS)
Economics
Structural organisation of businesses
Business strategies
Fluid machines (2 ECTS)
Fluid machines
Refresher course: mathematics (3 ECTS)
Mathematics applied to computer science
Refresher course: fluid mechanics (3 ECTS)
Fluid mechanics
Techniques of industrial measurements (2 ECTS)
Industrial sensors: labs
Industrial sensors: theory
Signal processing 2 (3 ECTS)
Frequency analysis of signals
Analogue signals filtering
Specific course units : Bridge from Bio/Chem/Agro
Basics of computer science 2 (4 ECTS)
Architectures of IT systems
Programming techniques 2
Operating systems (2 ECTS)
Operating systems
Advanced programming techniques 2 (4 ECTS)
Programming techniques project
Programming techniques 3
Information processing (4 ECTS)
Relational databases: labs
Relational databases: theory and exercises
Data structure
Teaching units of the 2nd Quadrimester
Communication and languages (2 ECTS)
Communication and languages: English 3
Electronics supplements (3 ECTS)
Electronics of semi-conductors 2: labs
Electronics of semi-conductors 2: theory
Entrepreneurial management (3 ECTS)
Corporate general accounting: applications and case studies
Corporate general accounting: general principles
Fluid machines labs (1 ECTS)
Fluid machines labs
Refresher course: thermodynamics (3 ECTS)
Thermodynamics: theory
Thermodynamics: practical work
Statistics (2 ECTS)
Statistics
Specific course units : Bridge from Bio/Chem/Agro
Basics of computer science 3 (2 ECTS)
Programming of graphic interfaces
Bioinformatic modelling (4 ECTS)
Supplements of bioinformatic techniques
Biological systems modelling
Ressources bioinformatiques (2 ECTS)
Biological data banks and indexing
Bioinformatics techniques 1 (4 ECTS)
Bioinformatics algorithms and resources
Advanced programming techniques 1 (5 ECTS)
Video game programming
Object-oriented programming
A unique training programme at the heart of science and technologies
Bioinformatics is an exciting world where biology and computer science converge towards new perspectives about understanding of the living.
Co-organised and co-certified with HELHa and HEPH Condorcet, the Master in Life Data Technologies offers a deep immersion in the mysteries of the living, supported by the most advanced IT tools.
This Master trains new scientists able to approach research issues in a purely biological context as well as concepts which are directly linked to industrial engineering.
You will acquire key skills such as collection, analysis and exploitation of biological data, design and development of applications as well as modelling and prediction of the biological systems’ behaviour.
From theory to practice, this training programme combines theoretical understanding with practical experience, preparing our graduate students to meet challenges of the professional world by enabling them to find their way towards biomedical, bioinformatics, biotechnological or pharmaceutical sectors.
Developed skills
This training is designed to equip graduates with essential skills, enabling them to:
Collect, make use and combine various sources of biological data generated by new biotechnologies.
Describe, structure and analyse massive volumes of biological data (big data).
Master the most advanced bioinformatics tools to elucidate the secrets of the living.
Design and develop innovative solution to meet the current and future challenges of life sciences.
Adopt an ethical approach by respecting the applicable laws which are essential in the biotechnology field.
Show independence, availability, flexibility and adaptability in all circumstances.
Being an engineer in Life Data Technologies
The engineer in Life Data Technologies is much more than an expert in bioinformatics. They embody a dual skill combining a strong understanding of biology with a comprehensive expertise in computer science. They are the driving force of digital transformation in the field of biology, thus opening new perspectives in various industrial and research sectors.
As a specialised engineer, you open the door to many professional opportunities. Our training prepares you to excel in several sectors, both in industrial and public sector, as well as to pursue an enriching academic career.
Industrial sector
Your expertise in bioinformatics makes you an essential element in various fields such as:
Pharmaceutical industry: contribute to the development of new medicines and treatments.
Biomedical field: innovate in the design of medical equipment and diagnosis.
Biotechnological field: move research forward and contribute to the development of biotechnological products.
Biochemistry: participate in biological discoveries at a molecular level.
Food-processing industry: contribute to the security and improvement of food quality.
Computer science: develop software programmes, applications and systems meeting the clients’ needs.
Public sector
Offer your skills to society in the following fields:
Ecology and sustainable development: fight against environmental issues thanks to technology.
Quality control: ensure security and excellence in various sectors.
Biosecurity: prevent biological risks and protect public health.
Popularisation of science: share your knowledge with the general public.
Public health: improve health systems thanks to data analysis.
Academic sector
For those who are passionate about research and teaching, continue to enrich the world of science by:
Contributing to scientific research: further the knowledge in bioinformatics.
Teaching to the future generations: share your passion and expertise with students from higher education institutions.
The Master in Life Data Technologies is accessible to any person holding one of the following diplomas with an additional year from 45 to 60 ECTS credits:
Bachelor: Laboratory Technologist;
Advanced Bachelor in Medical and Pharmaceutical Biotechnologies;
Bachelor in Biotechnics;
Bachelor in Medical Biology – Clinical Chemistry;
Bachelor in Chemistry: Biochemistry;
Bachelor in Chemistry: Biotechnology;
Bachelor in Chemistry: Applied Chemistry;
Bachelor in Chemistry: Environment;
Bachelor in Agronomy: Agro-Industry and Biotechnologies;
Bachelor in Agronomy: Environment;
Bachelor in Computer Science and Systems: Industrial Computing;
Bachelor in Computer Science and Systems: Networks and Telecommunications;
Bachelor in Computer Science and Systems: Information technology;
Bachelor in Computer Science and Systems: Systems Security;
Equivalence to one of the previous diplomas delivered by the Ministry of the French Community of Belgium (Teaching Unit according to the diploma of reference)
Other Bachelor certificate: presentation of a file as evidence of a basic knowledge in computer science and/or biology. The file will therefore be analysed by the commission of admission and programme validation which might offer a personalised programme.
What the industrial world says about it…
“For 15 years, our biotechnology sector has experienced a revolution in genomics. These approaches allow to generate huge digital data increasingly rapidly (DNA and protein sequence, sequence of metabolic flows…). The consequence of this evolution is that it is no longer possible to realise a development without any people involved in the project being trained to data analysis. We therefore support the university colleges’ initiative”.
Philippe Gabant, Scientific Director – Syngulon
“3DSide is missing this type of profile and skills. We are active in the medical field/image processing/medical software. The orientations and themes mentioned in the project of the three university colleges are perfectly adapted to our current and future needs (such as artificial intelligence)!”
Khanh Tran Duy, 3DSide co-Founder
“This initiative matches with real needs for Walloon companies coming from medical technology industry and members of Agoria Wallonie (146 active members in this field). In order to remain competitive, our companies tell us about their needs in skills being more and more specialised. According to us, this training area is therefore promising and necessary.”
Thierry Castagne, Chief Executive Officer of AGORIA Wallonie
“The area of data processing is an expanding area, both at big companies’ level and the level of specialised spin-off companies.
The innovations appear more and more at the interface of technologies. This is clearly the case for biotechnologies and health whose development is increasingly based on data use. The creation of professionals which are not only data-processing-oriented but also attentive to its source and signification would make much sense.
The courses of industrial engineer are in demand but struggle to attract students. On the other hand, the life and health-related fields have the wind in their sails. A combination of both fields may attract a new public.
We therefore approve the three university colleges’ initiative.”
Frédéric Druck, Managing Director of Essenscia Wallonie
Read the PDF brochure (in French)
