Learning Outcomes
The learning objectives of this Dual MSc Program in Synthetic Biology are designed to provide students with advanced interdisciplinary knowledge at the interface of biology, engineering, biotechnology, and computational sciences. The program aims to equip graduates with the theoretical background, laboratory expertise, and analytical skills required to design, develop, and evaluate synthetic biological systems and innovative biotechnological applications. Upon successful completion of the program, graduates will be able to demonstrate the following learning outcomes:
Knowledge and Understanding
- Explain at an advanced level the molecular, genetic, biochemical and engineering principles that govern the design and function of synthetic biological systems.
- Analyse the structure, dynamics and modular organization of biological networks, metabolic pathways, and genetic circuits.
- Understand and critically evaluate modern genome editing and engineering technologies, and automated biology platforms.
- Evaluate computational, bioinformatics, and machine learning approaches used for the design, modelling and optimization of biological systems.
Skills
- Design and implement strategies for constructing synthetic genetic circuits, metabolic networks, and engineered biological systems.
- Apply experimental techniques in molecular biology, genome engineering, and automated high-throughput platforms for the development of new biotechnological applications.
- Analyse and interpret data generated from high-throughput technologies, such as Next-Generation Sequencing and multi-omics approaches.
- Use computational biology and machine-learning tools to analyse, simulate, and optimise synthetic biological systems.
- Design and evaluate applications of synthetic biology in biomedicine, industrial biotechnology, agriculture, and the environment.
- Apply the Design-Build-Test-Learn (DBTL) framework to the development and optimization of synthetic biological systems.
Competencies
- Design and independently conduct research projects in synthetic biology, applying modern experimental, computational, and automated methodologies.
- Critically evaluate the scientific literature and integrate new research findings into the design of biological systems.
- Make informed decisions when addressing complex and unpredictable research or technological challenges.
- Integrate principles of responsible innovation, bioethics, biosafety, and biosecurity into research and the development of biotechnological applications.
- Collaborate effectively within interdisciplinary teams combining biology, engineering, computer science, and chemistry.
- Communicate scientific results and technological applications effectively to both specialist and non-specialist audiences.
