This course offers a rigorous and intellectually exciting introduction to human genetics and genomics, viewed through one of medicine’s most urgent and fast-moving frontiers: cancer. You explore how genetic variation shapes biological risk, how tumours evolve at the molecular level, and how genomic insight is now transforming diagnosis, prognosis, and treatment selection.
What you gain here is not simply vocabulary. You learn to read the genome as a scientific language: a system of variation, regulation, and biological consequence. You are guided to interpret evidence carefully, to connect genomic mechanisms to clinical decision-making, and to recognise the ethical weight of genomic medicine in an era where data can influence not only care, but identity, access, and opportunity.
By the end of the course, you should be able to engage with cancer genomics as an emerging scientific field with real translational power, and to approach genomic data with both confidence and responsibility.
This module explores the architecture of the human genome and the functional consequences of genetic variation, with a dedicated focus on cancer genetics and molecular oncology. You examine how inherited and somatic mutations alter gene regulation, cellular behaviour, tumour development, and response to treatment.
The course includes:
Throughout the course, you learn to treat genomics as a living discipline, shaped by evolving evidence and ongoing clinical translation. You are also encouraged to reflect on the uncertainties that persist and why they matter in real-world healthcare and research.
By the end of the course, learners will be able to:
At Afer*Nova, each programme is shaped by evidence-informed educational design, combining academic depth with real-world relevance. The structure is cross-disciplinary and designed to support learners across the health sciences, life sciences, and data-driven innovation.
Programmes begin with flexible modules that build a strong conceptual base through:
This phase supports independent learning while building confidence in core concepts.
Learners may take part in facilitated sessions that strengthen applied reasoning, including:
Session formats may vary depending on cohort design and programme delivery.
Content is refreshed periodically to reflect scientific advances, clinical standards, and emerging ethical debates in genomic medicine, helping the programme remain future-relevant and academically credible.
At Afer*Nova, teaching is designed to help you develop both technical literacy and intellectual responsibility. You are supported to interpret evidence carefully, communicate uncertainty honestly, and understand why genomics must be approached with ethical seriousness.
Teaching is delivered through case-based masterclasses, guided reading, applied learning tasks, and reflective discussion. Assessment is designed to deepen learning and may include:
Final outputs often form part of a portfolio that demonstrates scientific understanding, translational reasoning, and clear academic communication.
This course takes you beyond definitions and into the deeper logic of genomics. You learn how variation becomes consequence, how tumours evolve through mutation and selection, and how molecular insight can guide therapy. The emphasis is not on oversimplified certainty, but on developing the kind of scientific judgement that is essential in genomics and oncology.
Learners receive structured academic support designed to strengthen their ability to interpret genomic evidence, build coherent scientific arguments, and communicate complex ideas clearly. Where mentoring is included, it is designed to foster deeper reasoning and academic development.
Mentorship format and level of individual feedback may vary depending on cohort design.
You explore how genomic data informs real clinical pathways, including inherited risk, tumour profiling, and emerging precision oncology approaches. Importantly, you also consider what genomic data cannot yet do, and why responsible practice requires humility, transparency, and ethical oversight.
Learners may undertake structured analysis or research-style projects using public datasets and tools, where appropriate. These projects can help build a strong academic portfolio and may support future applications.
Any opportunities for dissemination, inclusion in curated collections, or reference letters are discretionary outcomes and are not guaranteed.
Students may:
Mentoring format and level of individual feedback may vary depending on cohort size, availability, and programme design. Any opportunities for dissemination, curated collections, or academic reference letters are discretionary and are not guaranteed.
If you wish to enroll in the course, please click the ‘Register Now’ button. Our team will reach out to you after reviewing your academic qualifications.