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3 Years On Campus Bachelors Program
University of ParisThe Bachelor of Engineering (Bioinformatics Specialization) at Université Paris Cité – École d'Ingénieur Denis Diderot (EIDD) is designed for students who are passionate about biology, computing, and data science, and want to use technology to solve real-world healthcare and life science challenges. Through a combination of scientific theory, hands-on projects, and extensive industry experience, the program prepares graduates for careers in bioinformatics, biotechnology, pharmaceuticals, and biomedical research.
Curriculum Structure
Year 1
The first year provides a solid foundation in engineering, mathematics, and life sciences while introducing students to the principles of bioinformatics. Students develop programming and analytical skills through subjects such as Programming 1, Mathematics 1, and Signals and Systems 1, while also studying Biostatistics 1, Molecular and Cellular Biology 1, and Physico-chemistry of Living Systems to understand the biological concepts behind data analysis.
Year 2
During the second year, students strengthen their computational and biological knowledge while learning how to analyse complex biological data. Courses such as Biomedical Big Data Exploration 2, Databases, Omics, Transmission and Expression of Genomes, Algorithmics and Bioinformatics, and Data Mining and Machine Learning 1 help students develop practical skills that are directly relevant to the biotechnology and healthcare industries.
Year 3
The final year focuses on advanced applications of bioinformatics and prepares students for professional engineering roles. Students explore specialised topics including Genome Analysis of Cancers, Data Mining and Machine Learning 2, Metagenomics, Pathologies and Pathogens, and Physics for Biology, while completing engineering projects, research work, and extensive company-based training that bridges academic learning with real industry experience.
Focus Areas
Bioinformatics, Computational Biology, Biomedical Data Science, Artificial Intelligence, Machine Learning, Omics Technologies, Genomics, Cancer Genome Analysis, Metagenomics, Biostatistics, Database Systems, Data Mining, Programming, Systems Biology, Research and Development, Project Management.
Learning Outcomes
Develop bioinformatics solutions, analyse complex biological and medical datasets, apply programming and data science techniques to life science problems, integrate biology with mathematics and computer science, design AI-based analytical tools, conduct research and innovation projects, communicate effectively in multidisciplinary teams, and manage engineering projects in biotechnology and healthcare.
Professional Alignment (Accreditation)
The program is offered by the École d'Ingénieur Denis Diderot (EIDD) as a French Diplôme d'Ingénieur in Bioinformatics through an apprenticeship pathway. It includes approximately 90 weeks of company-based training, a compulsory international mobility period of 9 to 12 weeks, and is aligned with the French RNCP39451 professional certification and national engineering standards.
Reputation (Employability Rankings)
Université Paris Cité is recognised internationally for its research excellence, and this engineering program places a strong emphasis on graduate employability through apprenticeships, industry projects, and international experience. Graduates are well prepared for careers in biotechnology, pharmaceuticals, healthcare, biomedical research, and data-driven life science industries.
The Bachelor of Engineering in Bioinformatics at Université Paris Cité – École d'Ingénieur Denis Diderot (EIDD) is built around a strong “learning by doing” approach, where students constantly apply what they study to real scientific and industrial problems. From the beginning of the program, you are immersed in a work-study environment that connects academic courses with long-term experience in companies, giving you a clear understanding of how bioinformatics is used in biotechnology, healthcare, and research. Alongside this, students work on supervised projects at the university that gradually build confidence in handling complex biological data and computational tools.
Here’s how that practical experience is structured:
Students complete around 90 weeks of apprenticeship in partner companies, where they actively contribute to real bioinformatics, data science, and biomedical engineering projects.
You work on structured academic projects such as a Bioinformatics project, a Biology project, and a Research and Development project, which help you apply theoretical concepts to real datasets and scientific questions.
The program trains you to use core bioinformatics and data analysis approaches, including programming, machine learning, genomics analysis, and biomedical big data processing, all through hands-on assignments.
You gain experience working with databases, biological data pipelines, and computational tools used in modern genomics and omics research.
The university provides access to the Grands Moulins campus learning environment, including scientific libraries, digital academic resources, and research support tools that help you complete technical projects.
You learn in close connection with Université Paris Cité’s research ecosystem, where academic staff and researchers guide you through applied scientific work in bioinformatics and related fields.
Group projects are an important part of the training, helping you develop teamwork, communication, and project management skills in a professional engineering context.
The program also includes innovation and entrepreneurship elements, where students can explore project development with guidance from mentors and university support structures.
A mandatory international mobility period of 9 to 12 weeks gives you exposure to global academic or industry environments, strengthening your professional adaptability.
Career support is integrated into the program through the EIDD network, helping students find apprenticeships, internships, and prepare for employment in bioinformatics and related sectors.
Graduates of the Bachelor of Engineering in Bioinformatics at Université Paris Cité are prepared to step directly into careers where biology, computing, and data science intersect. The program’s strong focus on real-world training means students leave with the kind of experience employers actively look for in healthcare, biotechnology, and pharmaceutical industries. Typical roles include bioinformatics engineer, life sciences data scientist, R&D engineer in biotechnology, and software engineer working with biomedical systems.
From day one, students are guided toward professional readiness through close industry exposure and structured support:
The program is delivered within Université Paris Cité’s EIDD engineering school, which is closely connected to research laboratories and biomedical innovation environments, giving students access to active scientific and industrial networks during their studies.
A major advantage is the apprenticeship structure, with around 90 weeks spent working in companies, allowing students to graduate with significant professional experience already built in.
The degree is an officially recognised French engineering qualification at RNCP level 7, which ensures strong professional recognition across France and internationally.
Students are trained for roles in research and development, biomedical data analysis, software engineering, systems biology, and pharmaceutical innovation, aligning closely with real industry job expectations.
The program prepares graduates for employment in biotechnology companies, pharmaceutical organisations, hospitals, and biomedical research centres, where demand for bioinformatics skills continues to grow.
Further Academic Progression:
After completing this degree, students can continue into advanced academic or research pathways. Many choose to pursue a PhD in bioinformatics, computational biology, genomics, or biomedical data science. Others opt for specialised master’s programs in artificial intelligence, data science, or systems biology, or move into research-intensive positions in universities, hospitals, or industrial R&D laboratories.
The Bachelor of Engineering in Bioinformatics at Université Paris Cité (EIDD) is taught at the Grands Moulins Campus in Paris, a main science campus where students attend lectures, labs, and project work in a research-focused environment.Admission to the Bachelor of Engineering in Bioinformatics at Université Paris Cité (EIDD) typically requires a strong academic background in science, especially in mathematics, biology, and related subjects, along with a competitive selection process based on academic records and motivation, as the program is part of an engineering pathway in France.A standard expectation is A-level qualifications with strong grades (usually ABB to AAA range) including Mathematics and at least one science subject such as Biology, Chemistry, or Physics.IB Diploma students, a typical competitive profile includes an overall score of around 32–38 points, with Higher Level Mathematics and at least one science subject such as Biology, Chemistry, or Physics.English language proficiency is usually required at a B2 level or higher, with IELTS scores typically around 6.0–6.5 overall or TOEFL iBT scores around 80–90, depending on the applicant’s background and prior education in English.Admission is generally selective and may also involve evaluation of academic transcripts, motivation for bioinformatics and engineering, and alignment with interdisciplinary skills in biology, computing, and mathematics.There is no clearly published tuition fee for this specific program on the official page, because it operates under an apprenticeship model where funding is primarily handled through companies and the French apprenticeship system rather than direct student tuition payments.India: Applicants are generally expected to have completed Standard XII with strong marks (around 75–85% or higher) in Physics, Chemistry, and Mathematics or Biology, along with a solid foundation in analytical and scientific subjects.China: completion of Senior Secondary School (Gaokao or equivalent) with strong results in science streams such as mathematics, biology, and chemistry is typically expected, with competitive performance in core subjects.USA: Completion of a High School Diploma with strong GPA (around 3.3 to 3.8 or higher) is typically expected, along with AP-level coursework in subjects like Calculus, Biology, Chemistry, or Computer Science being highly recommended.This information is an estimate and not exact. It is provided for reference purposes only and is not taken from official sources.bioinformatics engineercomputational biologistbiomedical data scientistresearch and development engineergenomics analystmachine learning engineer in life sciencessoftware engineer for healthcare systemsdata analyst in biotechnologysystems biologistpharmaceutical data scientist
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