TV this course
Biomedical engineers design, develop and deliver the health and wellbeing devices of the future. On this 4-year programme you’ll study key aspects of biomedicine, electronics and computer science. You’ll have the opportunity to tailor your degree to your liking by choosing a specialist pathway.
With all economies facing an increase in health spending, engineers and computer scientists have an ever-increasing role to play in inventing solutions for healthcare and treatment. Biomedical engineers work to bridge this gap.
You’ll explore topics like:
- the creation of diagnostic systems and devices for observing and controlling body functions
- the design and creation of electronic circuits, systems, and computer software
- the use of simulation, design, and verification tools to aid in the creation of systems, and how to report and comment on results
- the specific clinical, safety and ethical implications of biomedical engineering work and routes to commercialization of devices.
You’ll make use of our diverse range of modern laboratories and facilities, each filled with industry-standard equipment.
As you progress, you’ll learn to exercise awareness of quality systems and management in engineering. This includes the requirements and responsibilities of leadership, business and management practices relevant to biomedical electronic engineering enterprises.
You can tailor your degree to your liking by picking a pathway. These include:
Electronic Systems
You’ll learn to develop engineering solutions to health and healthcare problems, ranging from rehabilitation technologies and implantable sensors to smart signal analysis for wearable healthcare, and rapid testing and diagnostic devices.
You will gain key insight into how to design and develop a wide range of systems, from underlying sensor technology to signal analysis and data interpretation.
Mechatronics for Health
You’ll learn the fundamental science, methods, analysis, and engineering applications to start a career in mechatronic engineering with a focus on medical technology and robotics.
You’ll have the opportunity to design and build intelligent machines and robots as part of your study, which integrate electrical, mechanical and control systems to perform complex tasks.
Digital Health
You'll learn to develop m-health and e-health solutions based on healthcare needs and available technology. You will gain key data science skills that allow you to analyse data, build solutions and communicate results.
As one of the few universities in the UK (United Kingdom) to have a Digital Health research group, you will be taught by academics actively involved in technologies in this area.
Artificial Intelligence
You’ll additionally learn to design and build AI (Artificial Intelligence) programs and systems to solve global healthcare challenges and integrate with Biomedical engineering solutions.
As a highly respected hub for AI research, you'll benefit from a range of specialist modules that few UK universities can match. You’ll also be taught by academics actively involved in the latest advances in AI.
The MEng programme is also available with an industrial placement year.
We regularly review our courses to ensure and improve quality. This course may be revised as a result of this. Any revision will be balanced against the requirement that the student should receive the educational service expected. Find out why, when, and how we might make changes.
Our courses are regulated in England by the Office for Students (OfS).
Biomedical Engineering 5 in Five
Learn more about these subject areas
“For me, the speciality of the course was a massive winning point. In my second year, I had a design project looking at remote monitoring of physical therapy exercises for stroke rehabilitation. It was a really fun project, with incorporation from different sides of my course, including physical sensors, software design and machine learning. ”
Course location
This course is based at Highfield.
Awarding body
This qualification is awarded by the TV.
Download the Course Description Document
The Course Description Document details your course overview, your course structure and how your course is taught and assessed.
Entry requirements
For Academic year 202526
A-levels
A*AA including mathematics (minimum grade A) and either biology, chemistry or physics (minimum grade A)
A-levels additional information
A pass in the science Practical is required where it is separately endorsed.
Offers typically exclude General Studies and Critical Thinking.
Applicants who have not studied the required subjects can apply for the Engineering/Physics/Mathematics Foundation Year
A-levels with Extended Project Qualification
If you are taking an EPQ in addition to 3 A levels, you will receive the following offer in addition to the standard A level offer: AAA including mathematics and either biology, chemistry or physics, plus grade A in the EPQ
A-levels contextual offer
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
International Baccalaureate Diploma
Pass, with 38 points overall with 19 points required at Higher Level including 6 at Higher Level in Mathematics (Analysis and Approaches) or 7 at Higher Level in Mathematics (Applications and Interpretation), and 6 at Higher Level in Physics, Chemistry or Biology
International Baccalaureate Diploma additional information
Applicants who have not studied the required subjects at Higher Level can apply for the Engineering/Physics/Mathematics Foundation Year
International Baccalaureate contextual offer
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
International Baccalaureate Career Programme (IBCP) statement
Offers will be made on the individual Diploma Course subject(s) and the career-related study qualification. The CP core will not form part of the offer. Where there is a subject pre-requisite(s), applicants will be required to study the subject(s) at Higher Level in the Diploma course subject and/or take a specified unit in the career-related study qualification. Applicants may also be asked to achieve a specific grade in those elements. Please see the TV International Baccalaureate Career-Related Programme (IBCP) Statement for further information. Applicants are advised to contact their Faculty Admissions Office for more information.
BTEC
D in the BTEC National Extended Certificate plus grades A*A from two A-levels including mathematics and either biology, chemistry or physics.
or
D* in the BTEC National Extended Certificate plus grades AA from two A-levels including mathematics and either biology, chemistry or physics.
We will consider the BTEC National Diploma if studied alongside A-levels in mathematics and either biology, chemistry or physics.
We will consider the BTEC National Extended Diploma in Engineering if studied alongside A-level mathematics.
RQF BTEC
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Additional information
A pass in the science Practical is required where it is separately endorsed.
Offers typically exclude General Studies and Critical Thinking.
Applicants who have not studied the required subjects can apply for the Engineering/Physics/Mathematics Foundation Year
QCF BTEC
D in the BTEC Subsidiary Diploma plus grades A*A from two A-levels including mathematics and either biology, chemistry or physics.
or
D* in the BTEC Subsidiary Diploma plus grades AA from two A-levels including mathematics and either biology, chemistry or physics.
We will consider the BTEC Diploma if studied alongside A-levels in mathematics and either biology, chemistry or physics.
We will consider the BTEC Extended Diploma in Engineering if studied alongside A-level mathematics.
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Access to HE Diploma
Not accepted for this course. Applicants with an Access to HE Diploma in a relevant subject should apply for the Engineering/Physics/Mathematics Foundation Year
Irish Leaving Certificate
Irish Leaving Certificate (first awarded 2017)
H1 H1 H1 H2 H2 H2 including mathematics, applied mathematics and either physics, physics and chemistry, chemistry or biology
Irish certificate additional information
Applicants who have not studied the required subjects can apply for the Engineering/Physics/Mathematics Foundation Year
Scottish Qualification
Offers will be based on exams being taken at the end of S6. Subjects taken and qualifications achieved in S5 will be reviewed. Careful consideration will be given to an individual’s academic achievement, taking in to account the context and circumstances of their pre-university education.
Please see the for further information. Applicants are advised to contact their Faculty Admissions Office for more information.
Cambridge Pre-U
D2, D3, D3 in three Principal subjects including mathematics and either biology, chemistry or physics.
Cambridge Pre-U additional information
Cambridge Pre-U's can be used in combination with other qualifications such as A levels to achieve the equivalent of the typical offer, where D2 can be used in lieu of A-level grade A* or grade D3 can be used in lieu of A-level grade A.
Applicants who have not studied the required Principal subjects can apply for the Engineering/Physics/Mathematics Foundation Year
Welsh Baccalaureate
A*AA including mathematics (minimum grade A) and either biology, chemistry or physics (minimum grade A) or A*A from two A-levels including mathematics and either biology, chemistry or physics, and A from the Advanced Welsh Baccalaureate Skills Challenge Certificate.
Welsh Baccalaureate additional information
A pass in the science Practical is required where it is separately endorsed. Offers typically exclude General Studies and Critical Thinking. Applicants who have not studied the required subjects can apply for the Engineering/Physics/Mathematics Foundation Year
Welsh Baccalaureate contextual offer
We are committed to ensuring that all applicants with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise an applicant's potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
T-Level
A Distinction* overall, with A* in Core and Distinction in the Occupational Specialism, and grade A in A-level Mathematics.
The following T levels are accepted:
- Healthcare Science
- Science
- Design and Development for Engineering and Manufacturing
- Maintenance, Installation and Repair for Engineering and Manufacturing
The following Occupational Specialisms are required:
- For the T level in Design and Development for Engineering and Manufacturing: either "Electrical and electronic engineering” or "Control and instrumentation engineering".
- For the T level in Maintenance, Installation and Repair for Engineering and Manufacturing: either "Maintenance engineering technologies: Electrical and Electronic" or "Maintenance engineering technologies: Mechatronic" or "Maintenance engineering technologies: Control and Instrumentation" or "Light and Electric Vehicles".
Other requirements
GCSE requirements
Applicants must hold GCSE English language (or GCSE English) (minimum grade 4/C) and mathematics (minimum grade 4/C)
Find the equivalent international qualifications for our entry requirements.
English language requirements
If English isn't your first language, you'll need to complete an International English Language Testing System (IELTS) to demonstrate your competence in English. You'll need all of the following scores as a minimum:
IELTS score requirements
- overall score
- 6.5
- reading
- 6.0
- writing
- 6.0
- speaking
- 6.0
- listening
- 6.0
We accept other English language tests. Find out which English language tests we accept.
If you don’t meet the English language requirements, you can achieve the level you need by completing a pre-sessional English programme before you start your course.
You might meet our criteria in other ways if you do not have the qualifications we need. Find out more about:
- our Ignite your Journey scheme for students living permanently in the UK (including residential summer school, application support and scholarship)
- skills you might have gained through work or other life experiences (otherwise known as recognition of prior learning)
Find out more about our Admissions Policy.
Got a question?
Please contact our enquiries team if you're not sure that you have the right experience or qualifications to get onto this course.
Email: enquiries@southampton.ac.uk
Tel: +44(0)23 8059 5000
Course structure
This is a four-year, full-time course. The topics you explore will vary depending on which pathway you choose.
In the early stages you'll take core and compulsory modules in electronics and programming together with a thorough grounding in mathematics. You will also take modules covering the fundamentals of life science.
As the programme progresses, you’ll undertake an individual project and finally a group design project.
Year 1 overview
You'll be introduced to the fundamentals of biomedical engineering and your chosen pathway. You’ll cover topics like programming, digital systems and microprocessors, maths, electronic systems and sensors, biomedical engineering design and key elements of life science.
Year 2 overview
You'll continue to build upon your knowledge of key topics, with further modules in electronics, programming and fundamentals of cell biology and physiology.
You’ll also apply your knowledge to design a health and wellness monitoring platform within a healthcare technology design project.
Year 3 overview
You’ll undertake an individual project. You’ll also choose from a range of optional modules.
Year 4 overview
You'll work on a group design project. This is compulsory, taken over the full academic year and may include students from other engineering disciplines.
You’ll also have the freedom to tailor the degree to your liking by choosing from a wide variety of optional modules.
Want more detail? See all the modules in the course.
Modules
The modules outlined provide examples of what you can expect to learn on this degree course based on recent academic teaching. As a research-led University, we undertake a continuous review of our course to ensure quality enhancement and to manage our resources. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand. Find out why, when and how we might make changes.
For entry in academic year 2025 to 2026
Year 1 modules
You must study the following modules in year 1:
BIOM Part One Laboratory Programme
This module is the lab programme for all first-year students enrolled on the BIOM degree programme. It aims to give students the opportunity to apply the theory that they learn in their other modules, and to provide them with transferrable, subject-based ...
Biomedical Engineering Design
This module teaches the applications of biomedical signal analysis and control systems for biomedicine. The module emphasises developing an understanding through lab-based system design exercises by applying theoretical knowledge taught in the module. The...
Biomedical Engineering Mathematics
This course is designed to develop fundamental mathematical skills which Biomedical engineers need in order to tackle a wide variety of engineering and design problems. There is a particular focus on developing an understanding of mathematics as a toolbox...
Digital Systems
To introduce digital system design, the principles of programmable logic devices, the implementation of combinational and sequential circuits, and the principles of hardware design using industry standard hardware design tools.
Introduction to Biomedical Engineering
This module will introduce students to the disciplines of biomedical engineering (BME). This module is organized into 4 blocks. The first block provides an overview of the key challenges in health and wellness, discussing ethical and security consider...
Programming
To introduce the student to the concepts of programming using the C programming language, with an emphasis on programming for embedded systems.
Sensor Interfaces
This module will introduce you to the mathematical techniques needed to describe and analyse linear and simple non-linear electronic circuits. The module explains the properties of ideal circuit elements and the tools & techniques required to analyse a wi...
You must also choose from the following modules in year 1:
Applied Biomechanical Mathematics
This course explores the use of mathematics as a toolbox for engineers to calculate, model, visualise and design physical systems. The focus is on solving physical problems via equations, both analytically and numerically using computation, along with dev...
From Biological Molecules to Biomedical Data
This module is designed for Biomedical Engineering students on the Artificial Intelligence and Digital Health pathways. In this module, you will learn about the different types of macromolecules found in cells, with a particular emphasis on DNA and pro...
From Biological Molecules to Electromagnetism
This module is designed for Biomedical Engineering students on the Electronics and Mechatronics for Health pathways. In this module, you will learn about the different types of macromolecules found in cells, with a particular emphasis on DNA and protei...
Programming II
Year 2 modules
You must study the following modules in year 2:
Control and Systems Engineering
This module guides students through the development of knowledge and understanding of linear continuous-time systems. It then introduces the basic analysis and design tools for electronic system control and provides opportunities to develop practical desi...
Signal Processing
To develop knowledge of the fundamentals of Signals and Systems. To introduce the concepts of signal transforms, system convolution and linear operations. To introduce the concepts of randomness in signals and systems. To provide a comprehensive found...
You must also choose from the following modules in year 2:
Algorithms and data
This second-year module builds on students’ mathematical and coding skills gained at an introductory level. Through this module, students build on the knowledge and understanding of fundamental principles and practical skills necessary for developing eff...
Artificial Intelligence
Biomechatronics
The module aims to provide an integrated understanding of the representation and analysis of dynamical systems (electrical and mechanical), their solution and practical implementation in diagnosis and health monitoring for biomedical engineering problems ...
Design
Conventional laboratory experiments are useful mainly to assist understanding or analysis. Because they are of necessity stereotyped, they are of limited usefulness when a circuit or system must be designed to meet a given specification. The majority of e...
Digital Health Principles
In this second-year module on digital health principles, students will build on their Level 4 introductory biomedical knowledge, understanding of digital systems, and computational skills. Through this module, they will learn essential digital health prin...
Fundamentals of Cell Biology and Biomaterials
This module develops an understanding of the foundational principles of cell biology, delving into the cell structure, functions, and molecular processes, and diversity. Additionally, the course will introduce biomaterials, focusing on their types, proper...
Fundamentals of Physiology and Anatomy
The module will provide students with an understanding of the basic human anatomy (study of the structure) and physiology (study of the function). The students will learn the coupling of structure with function through a series of lectures and labs. The ...
Programming and Modelling Mechatronic Systems
This module introduces advanced programming, simulation and design modelling frameworks and tools. Teaching activities are a combination of taught sessions, expanded self-study supported by the Professional Skills Hub and practical hands-on sessions in co...
Semiconductor Devices and Sensors
This module will introduce the concepts of semiconductor materials, devices, and sensors. You will develop a detailed understanding of the design, operating mechanisms and fabrication technology of semiconductor electronic/power electronic devices, optoel...
Software Design and Development Project
Statistical Modelling I
Simple linear regression is developed for one explanatory variable using the principle of least squares. The extension to two explanatory variables raises the issue of whether both variables are needed for a well-fitting model, or whether one is sufficien...
Year 3 modules
You must study the following modules in year 3:
Advanced Databases
This module builds on the first year Data Management module to give students a deeper and broader view of the issues involved in database management systems, some of the most complex software in common use.
Machine Learning Technologies
Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions. Exclusions...
Machine Learning for Resource Constrained Systems
This module will study the algorithms, technologies and software that enables “Machine Learning on Systems” ranging from tiny resource-constrained platforms such as microcontrollers to edge devices.
Part III Individual Project Phase 1
The Part Three Individual Project gives students the opportunity to gain both detailed knowledge and practical experience in a more focussed area than generally possible elsewhere in their degree programme. Most projects are in the nature of a challenging...
Part III Individual Project Phase 2
The Part III Individual Project gives students the opportunity to gain both detailed knowledge and practical experience in a more focussed area than generally possible elsewhere in their degree programme. Most projects are in the nature of a challenging e...
Robotic Systems
Robots are becoming more widely used in society, with applications ranging from agriculture through to manufacturing, with increasing interest in autonomous systems. This module will introduce students to the fundamentals of robotic systems including k...
You must also choose from the following modules in year 3:
Advanced Databases
This module builds on the first year Data Management module to give students a deeper and broader view of the issues involved in database management systems, some of the most complex software in common use.
Advanced Partial Differential Equations
Partial Differential Equations (PDEs) occur frequently in many areas of mathematics. This module extends earlier work on PDEs by presenting a variety of more advanced solution techniques together with some of the underlying theory.
Bioinformatics and Systems Biology
Large-scale approaches at the molecular, cellular, organismal and ecological level are revolutionizing biology by enabling systems-level questions to be addressed. In many cases, these approaches are driven by technologies that allow the components of bio...
Biomaterials
A biomaterial can be described as a material used in a biomedical device intended to interact with biological systems. The selection of an appropriate biomaterial is critical to the performance of an implant. For a hip replacement, properties such as good...
Cloud Application Development
During the first two years of the degree students gain experience in a variety of 'traditional' programming languages in procedural, functional and object-oriented flavours. This module addresses the design and use of scripting languages for a contemporar...
Control System Design
Engineering Replacement Body Parts
Do you want to find out how stem cells are being used to help treat disease and allow us to live better, for longer? And are you interested in the controversy surrounding them? Do you want to find out what tissue engineering is, and how scientists are ...
Fluids and Mechanical Materials
Global Health
The global health module is an exciting opportunity to examine the factors associated with emerging and re-emerging infectious diseases such as the recent outbreak of Ebola and Swine Flu that quickly spread around the world, and non-communicable diseases ...
Machine Learning Technologies
Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions. Exclusions...
Machine Learning for Resource Constrained Systems
This module will study the algorithms, technologies and software that enables “Machine Learning on Systems” ranging from tiny resource-constrained platforms such as microcontrollers to edge devices.
Manufacturing and Materials
This module manufacturing and materials is intended to develop a deeper understanding of the relationship between design, manufacturing processing and materials properties. This module discusses various manufacturing methods including casting, forming, we...
Mechanical Power Transmission and Vibration
The module provides an overview of relevant topics in mechanical power transmission and methodology of vibration analysis for such mechanical assemblies. The main objective of the module is to learn methods of analysis and design of machines and their ...
Natural Language Processing
This module gives students an introduction to natural language processing (NLP) algorithms and an understanding of how to implement NLP applications.
Operational Research
The module introduces the operational research approach for modelling and solving engineering and management problems.
Orthopaedic Biomechanics
This module will provide an insight into the engineering based problems faced in orthopaedic biomechanics, through a detailed study of intact lower limb and the lower limb pre- and post- total joint replacement. You will gain an understanding of the struc...
Principles of Neuroscience
This module conveys the concept of neuroscience as an integrative discipline by providing a description of mammalian nervous system function from molecular aspects of synaptic signalling to information integration and system level processing. Lectures ...
Robotic Systems
Robots are becoming more widely used in society, with applications ranging from agriculture through to manufacturing, with increasing interest in autonomous systems. This module will introduce students to the fundamentals of robotic systems including k...
Security of Cyber Physical Systems
The course requires to understand C code, assembly language, x86 architectures and memory allocation (a refresher will be provided).
Signal and Image Processing
Signal processing is an essential part of human life and of modern industrial systems. As humans we see and hear and process signals. This is the same in electronic systems: we sense and then process signals. We need to be able to understand these signals...
Year 4 modules
You must study the following modules in year 4:
Data Mining
The challenge of data mining is to transform raw data into useful information and actionable knowledge. Data mining is the computational process of discovering patterns in data sets involving methods at the intersection of artificial intelligence, machine...
Deep Learning Technologies
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with l...
Group Design Project
This module provides an introduction to intensive group project work in collaboration with an industrial or academic customer. Students work in groups of at least four people on a project typically based on an idea from an industrial partner, or from an a...
Industrial Studies
This Industrial Studies module is part of our MEng programmes with “Industrial Studies” in the title, and allows students to go on to a one-year placement in industry in Part III of their programme. Students are normally expected start their placement...
Interdisciplinary Thinking
This module is offered in the context of a multi-disciplinary programme that requires students to both demonstrate appropriate appreciation of disciplines which are foreign to them (including an understanding of current research and research methods, an a...
You must also choose from the following modules in year 4:
Applied Control Systems
This module will introduce the student to key topics within control and signal processing, developing understanding through a combination of theoretical content and practical application. The theoretical content is focussed in a number of key themes wi...
Biologically Inspired Robotics
This module lies at the intersection of robotics and biology. Through the abstraction of design principles from biological systems, it is possible to develop a range of core competences, including mechatronic systems, sensor and actuator technologies. By ...
Deep Learning Technologies
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with l...
Knowledge Graphs for AI Systems
The last decade and a half have seen the Web move away from a purely document-centric information system to one in which hypertext techniques are applied to the sort of data found in databases; the term “Semantic Web” is used to refer to this Web of linke...
Microfluidics and Lab-on-a-Chip
This module teaches the basics of the behaviour of fluids in microsystems, specifically focussing on the interaction of fundamental physical mechanisms and the design of microfluidic devices. It also reviews and analyses the state of the art in applied mi...
Microsensor Technologies
This module presents a broad overview of microsensor technologies, including the basic principles of measurement systems and the scaling effects arising from system miniaturisation. The practical component, assessed by a Lab Report, involves the design an...
Mobile Applications Development
More and more people are using increasingly powerful mobile devices as their primary means of obtaining information and requesting services over the Internet. The shift from traditional personal computers (desktops and laptops) to mobile devices (Smart ph...
Numerical Methods
Often in mathematics, it is possible to prove the existence of a solution to a given problem, but it is not possible to "find it". For example, there are general theorems to prove the existence and uniqueness of an initial value problem for an ordinary di...
Simulation Modelling for Computer Science
Simulation modelling plays an increasingly significant role across modern science and engineering, with the development of computational models becoming established practice in industry, consulting, and policy formulation. Computer scientists are often em...
Web and Cloud Applications Development
The aims of the module are: - To provide students with the opportunity to improve their understanding of web application development, and cloud computing systems. - To cover important techniques and issues in designing and building a modern web applicat...
Wireless Networks
This course is intended to give students an outline of how wireless communication and computer networks work "above the physical layer". This includes the interoperability of wireless networks such as WiMax/GPRS and WiFi to provide WiFi on trains etc. How...
Learning and assessment
The learning activities for this course include the following:
- lectures
Academic support
You’ll be supported by a personal academic tutor and have access to a senior tutor.
Course leader
Careers and employability
This degree will allow you to develop and evidence subject-specific and targeted employability skills. This includes the required skill set for a range of future careers, further study, or starting your own business. The skills you can expect to focus on and gain from this course include: The employability and enterprise skills you'll gain from this course are reflected in the Southampton skills model. When you join us you'll be able to use our skills model to track, plan, and benefit your career development and progress. Graduates commonly work in a range of organisations or sectors including:
Information and Communication, Education, Public Administration and Defence, Scientific and Technical, Manufacturing. *Example graduate job titles and job prospect statistics taken from The Graduate Outcomes Survey, which gathers information about the activities and perspectives of graduates 15 months after finishing their course. Choosing to do work experience is a great way to enhance your employability, build valuable networks, and evidence your potential. Learn about the different work and industry experience options at Southampton. We are a top 20 UK university for employability (QS Graduate Employability Rankings 2022). Our Careers, Employability and Student Enterprise team will support you. This support includes: We have a vibrant entrepreneurship culture and our dedicated start-up supporter, , is open to every student. Your career ideas and graduate job opportunities may change while you're at university. So it is important to take time to regularly reflect on your goals, speak to people in industry and seek advice and up-to-date information from Careers, Employability and Student Enterprise professionals at the University. Fees for a year's study: Your tuition fees pay for the full cost of tuition and standard exams. Find out how to: Accommodation and living costs, such as travel and food, are not included in your tuition fees. There may also be extra costs for retake and professional exams. Explore: If you're a UK or EU student and your household income is under £25,000 a year, you may be able to get a TV bursary to help with your living costs. Find out about bursaries and other funding we offer at Southampton. If you're a care leaver or estranged from your parents, you may be able to get a specific bursary. Get in touch for advice about student money matters. You may be able to get a scholarship or grant to help fund your studies. We award scholarships and grants for travel, academic excellence, or to students from under-represented backgrounds. The Student Hub offers support and advice on money to students. You may be able to access our Student Support fund and other sources of financial support during your course. Find out about funding you could get as an international student. We will assess your application on the strength of your: We'll aim to process your application within 2 to 6 weeks, but this will depend on when it is submitted. Applications submitted in January, particularly near to the UCAS equal consideration deadline, might take substantially longer to be processed due to the high volume received at that time. We treat and select everyone in line with our Equality and Diversity Statement. Please contact our enquiries team if you're not sure that you have the right experience or qualifications to get onto this course. Email: enquiries@southampton.ac.uk
Biomedical Engineering (MEng) is a course in the
Biomedical and medical engineering
and Electrical and electronic engineering
subject areas.
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Biomedical Engineering