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The Master of Science in Biotech and AI: A Journey into Bioinformatics
We marvel at artificial intelligence’s ability to generate stunning visuals and videos in the blink of an eye. We stand in awe as it emulates history’s greatest writers. We are captivated when it responds to us, becoming one of our most valuable allies both at work and in our daily lives. In countless ways, artificial intelligence has transformed our society. The field of biotechnology is no exception. In fact, it stands at the forefront of this revolution.
The Master of Science (MSc) in Biotechnology and Artificial Intelligence, developed through a partnership between EPITA and ESME – two of France’s leading engineering schools – trains future bioinformatics experts through a multidisciplinary approach. The mission: to empower graduates to push the boundaries of innovation by combining biology with cutting-edge technologies.
A 2-year course in Paris
Located at our Paris-Villejuif campus, the MSc in Biotechnology and AI is offered in collaboration with EPITA and ESME and delivered through work-study programs. This distinctive curriculum combines multidisciplinary learning, academic rigor, and industry expertise to prepare students for successful professional careers.
Blending theory and practice
From analyzing massive and heterogeneous biological data to interpreting them, from ethical challenges to mastering essential tools: students will acquire both the practical skills and fundamental theoretical knowledge required to successfully apply AI in biotechnology.
This apprenticeship, in partnership with CFA LEEM, allows participants to immediately apply classroom knowledge in a professional setting, creating a dynamic educational synergy. Beyond gaining hands-on industry experience, this approach provides a strong competitive advantage for their résumés.
Graduates earn a Master’s degree with full ECTS credit equivalence.
First Year – MSc 1
Exploring the World of Bioinformatics: Understanding Core Challenges and Opportunities
This first year lays a strong foundation in biology, computer science, and biotechnology while encouraging curiosity and critical thinking. It also explores the ethical challenges of artificial intelligence in biotech, equipping students with a responsible and informed approach to these technologies.
For many, this year also marks the beginning of their apprenticeship, providing a first glimpse into corporate life and its challenges.
Fall Semester
- Programming and Development Tools
- Molecular and Cell Biology
- Ethics and Regulations in Biotechnology
- Biotechnology Applications
Spring Semester
- Statistical Methods and Data Analysis
- Synthetic Biology
- Ethics and AI
- AI and Biotechnology Lecture Series
Second Year – MSc 2
Advancing Professional Expertise
The second and final year strengthens students’ expertise through advanced coursework in AI, bioinformatics, and biotechnology applications.
Specialized courses on machine learning, deep learning, and biotechnology applications — combined with hands-on hackathons — prepare participants for real-world challenges. The program continues to emphasize the ethical considerations of AI, ensuring that graduates not only develop technical expertise but also a deep understanding of its moral implications.
By graduation, our goal is to have cultivated a new generation of experts equipped with a holistic understanding of AI applications in biotechnology.
Fall Semester
- Machine Learning & Deep Learning
- Genetic Engineering and Bioprocessing
- AI Engineer in Society
- Hackathon Projects
Spring Semester
- Predictive Models in Bioinformatics
- Bioinformatics Modeling and Digital Imaging
- Industry Expert Series
The program follows the European Credit Transfer and Accumulation System (ECTS), aligned with the European LMD framework. Each academic year comprises 60 ECTS credits, with each credit representing 25-30 hours of work. The full Master of Science program totals 120 ECTS credits, awarded upon successful completion of both academic and work-study requirements.
Perfect fit? Check your eligibility
This graduate-level program admits 20 candidates with a bachelor’s degree in biology, biotechnology, computer science, or other scientific disciplines.
Designed for forward-thinking minds, it offers a unique opportunity to bridge the gap between cutting-edge technologies and life sciences, making it ideal for students passionate about shaping the future of biological innovation.
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