Women's Health Intercalated BSc

This is a one-year course based on a combination of required and optional modules. You will study modules to a total of 120 credits.

• Maternal and Fetal Health Research Project (45 credits)

• Reproductive Physiology (15 credits)

• Assisted Conception (15 credits)

• Perinantal Mental Health (15 credits)

• Introduction to Stem Cells (15 credits) – this is a Level 5 module
• Introduction to Regenerative Medicine (15 credits) – Introduction to Stem Cells is a pre-requisite for this module
• Cardiovascular & Respiratory Control (30 credits)
• Vascular Physiology (30 credits)
• Birth Defects (15 credits)
• Any modules offered in the School of Bioscience Education, subject to timetabling and approvals

King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates

The aims of our course include:

• To give you a broad understanding of matters of current social and ethical concern surrounding maternity and childbirth.
• To deepen your appreciation of common problems in obstetrics in contemporary societies and to explore the ways these are managed.
• To equip you with the core technical skills necessary to engage with the key debates in the field of obstetrics research, policy and ethics.
• To develop the skills you will need for successful multi-disciplinary, multi-professional and multi-agency work and research in women’s health.
• To develop your written and oral presentation skills in the communication of scientific literature and to instil a critical approach to the reading of biomedical research papers.
• To provide practical experience in the techniques used in physiology and to equip you with the skills to progress to postgraduate study.
• To enable you to attain a level of competence in the design and execution of a research project appropriate to H level standard and to reinforce a basic understanding of the importance of experimental design and statistical analysis.