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MEng (Hons) Biomedical Engineering (with a year abroad)

Swansea University — Swansea, United Kingdom

MEng (Hons) Biomedical Engineering (with a year abroad) is a undergraduate Engineering course at Swansea University, Swansea, United Kingdom. It takes 5 years, costs £26,400 per year and starts in September.

Undergraduate · 5 years · Full-time · Engineering · £26,400 per year

Intakes: September

MEng Biomedical Engineering with a Year Abroad at Swansea University is a five-year full-time integrated master's that applies engineering to the human body for more personalised healthcare, with a year studying abroad. You combine core engineering with anatomy, physiology and working with clinicians, plus hands-on use of medical devices, then take master's-level modules in nanomedicine, biomaterials and a research design project. The MEng meets the academic requirement for registration as a Chartered Engineer.

Modules

  • Foundations of Biomedical Engineering
  • Human Anatomy and Physiology
  • Medical Instrumentation and Diagnostics
  • AI, Machine Learning and Data Analysis
  • Implant and Tissue Engineering
  • Medical Imaging and Informatics
  • Principles of Nanomedicine
  • Individual Research Design Project

Frequently asked questions

How long is MEng (Hons) Biomedical Engineering (with a year abroad) at Swansea University?

MEng (Hons) Biomedical Engineering (with a year abroad) takes 5 years (Full-time).

How much does MEng (Hons) Biomedical Engineering (with a year abroad) at Swansea University cost?

The listed tuition fee is £26,400 per year. Fees can change, so confirm the current amount before you apply.

When does MEng (Hons) Biomedical Engineering (with a year abroad) start?

Intakes: September.

What level is MEng (Hons) Biomedical Engineering (with a year abroad)?

It is a undergraduate course in Engineering.

What will I study on MEng (Hons) Biomedical Engineering (with a year abroad)?

Modules include Foundations of Biomedical Engineering, Human Anatomy and Physiology, Medical Instrumentation and Diagnostics, AI, Machine Learning and Data Analysis, Implant and Tissue Engineering and Medical Imaging and Informatics.