Human Clinical Embryology and Assisted Conception with Artificial Intelligence

Entry requirements

A UK upper second-class Honours (2:1) degree OR a UK medical degree (MBChB), OR an international equivalent (full details on University of Dundee website). Lower class honours or lower second-class degrees will be considered under exceptional circumstances.

Your degree should be in medicine, biological science, biochemical science, medical science, biomedical science, physical science, midwifery, nursing, chemical science, or psychology.

Months of entry

September

Course content

Gain knowledge, experience and skills in Clinical Embryology and Assisted Reproductive Technology (ART). Combine this with skills in artificial intelligence (AI) to boost your career.

Infertility is a global problem. Around 80 million people worldwide have been diagnosed as infertile. Demand for ART is increasing, and opportunities for careers in this field are growing.

Data science and AI is a fast-growing area found in many medical fields, including ART. Technological advancements in this area are already present on the market. They are used in IVF labs and in clinical practice. This is revolutionising the way medically assisted reproduction intervention works.

Recent research highlights the emergence of a new professional role: the computational embryologist. More professionals need training in applying data analysis/AI technologies to reproductive medicine.

This master's course gives you a robust education in embryology, andrology, and ART. It looks at all this from a clinical, research, and laboratory perspective. You'll also learn about the field of data anlysis and AI, and how it applies to reproductive medicine.

The course combines both areas to give you the skills needed to future proof your career. You'll get access to clinics in a real Assisted Conception Unit (ACU) in Ninewells Hospital. This means you can follow real patients through their fertility journey.

You'll also shadow experienced embryologists in the lab. This helps you deliver the most advanced medical care to patients with infertility.

We welcome students with a background in biology, allied health science, medicine, nursing, midwifery, or informatics. You'll get basic knowledge in both reproductive biology and computing disciplines.