This cross-disciplinary programme is designed for students with a strong interest in engineering and bio-medicine. Drawing from our established expertise in engineering technologies and from the research synergies with the School of Biosciences, this degree produces engineers with a solid knowledge in biology and medical science.
We have 24-hour access to the computer labs, and that’s really, really helpful.
Please contact the School for more information at firstname.lastname@example.org.
The University will consider applications from students offering a wide range of qualifications. Typical requirements are listed below. Students offering alternative qualifications should contact us for further advice.
Please note that meeting this typical offer/minimum requirement does not guarantee an offer being made. Please also see our general entry requirements.
If you’ve taken exams under the new GCSE grading system, please see our conversion table to convert your GCSE grades.
AAB - BBB including Mathematics at B plus two other science subjects (preferably Biology or Chemistry and Electronics/Physics/Computing).
The University will not necessarily make conditional offers to all Access candidates but will continue to assess them on an individual basis.
If we make you an offer, you will need to obtain/pass the overall Access to Higher Education Diploma and may also be required to obtain a proportion of the total level 3 credits and/or credits in particular subjects at merit grade or above.
DDD - DMM in an Engineering subject including Further Maths/Further Maths for Engineering Technicians. Other subjects are considered on a case-by-case basis. Please contact us for further advice on your individual circumstances.
34 points overall or 15 points at HL, including Mathematics (not Mathematics Studies) 5 at HL or 6 or at SL or HL Maths: Analysis and Approaches at 5 (not Applications and Interpretations) and two other sciences subjects 5 at HL or 6 at SL (preferably Biology and Physics).
The University welcomes applications from international students. Our international recruitment team can guide you on entry requirements. See our International Student website for further information about entry requirements for your country.
However, please note that international fee-paying students cannot undertake a part-time programme due to visa restrictions.
If you need to increase your level of qualification ready for undergraduate study, we offer a number of International Foundation Programmes.
For more advice about applying to Kent, you can meet our staff at a range of international events.
Please see our English language entry requirements web page.
Please note that if you are required to meet an English language condition, we offer a number of 'pre-sessional' courses in English for Academic Purposes. You attend these courses before starting your degree programme.
Duration: 3 years full-time
The following modules are indicative of those offered on this programme. This listing is based on the current curriculum and may change year to year in response to new curriculum developments and innovation.
On most programmes, you study a combination of compulsory and optional modules. You may also be able to take ‘elective’ modules from other programmes so you can customise your programme and explore other subjects that interest you.
The module provides an introduction to the basic knowledge required to understand, design and work with basic electronic circuits and the basic principles underlying the process of Electronic Engineering. No previous electronics experience is assumed and the module proceeds via a sequence of lectures supported by simple exercises designed to give practical experience of the concepts introduced in the lectures.
The module provides a first attempt to translate a problem into a technical solution. An understanding of the relevant software and electronic hardware options to create a functional solution centred around a microcontroller will be developed. Design skills will be applied to define and fabricate the physical solution informed by the original requirement. An understanding of the fundamentals of Electronic Engineering is assumed and the module proceeds via lectures supported by supervision and technical advice. It is designed to give practical experience of the concepts introduced in the lectures of the prerequisite module.
Subject-based and communication skills are relevant to all the bioscience courses. This module allows you to become familiar with practical skills, the analysis and presentation of biological data and introduces some basic mathematical and statistical skills as applied to biological problems. It also introduces you to the computer network and its applications and covers essential skills such as note-taking and essay writing.
This course will provide an introduction to biomolecules in living matter. The simplicity of the building blocks of macromolecules (amino acids, monosaccharides, fatty acids and purine and pyrimidine bases) will be contrasted with the enormous variety and adaptability that is obtained with the different macromolecules (proteins, carbohydrates, lipids and nucleic acids). The nature of the electronic and molecular structure of macromolecules and the role of non-covalent interactions in an aqueous environment will be highlighted. The unit will be delivered though lectures, formative practicals and related feedback sessions to ensure students fully understand what is expected of them. Short tests (formative assessment) will be used throughout the unit to test students' knowledge and monitor that the right material has been extracted from the lectures.
This module addresses key themes and experimental techniques in molecular and cellular illustrated by examples from a range of microbes animals and plants . It covers basic cell structure, and organisation including organelles and their functions, cytoskeleton, cell cycle control and cell division. The control of all living processes by genetic mechanisms is introduced and an opportunity to handle and manipulate genetic material provided in the laboratory. Monitoring of students' knowledge and progress will be provided by a multi-choice test and the laboratory report, with feedback.
Functional Geography of Cells: Introduction to cell organisation, variety and cell membranes. Molecular traffic in cells. Organelles involved in energy and metabolism. Eukaryotic cell cycle. Chromosome structure & cell division. Meiosis and recombination. Cytoskeleton.
Molecular biology: The structure and function of genetic material. Chromosomes, chromatin structure, mutations, DNA replication, DNA repair and recombination, Basic mechanisms of transcription, mRNA processing and translation.
Techniques in molecular and cellular biology: Methods in cell Biology - light and electron microscopy; cell culture, fractionation and protein isolation/electrophoresis; antibodies, radiolabelling. Gene Cloning – vectors, enzymes, ligation, transformation, screening; hybridisation, probes and blots, PCR, DNA sequencing. Applications of recombinant DNA technology.
Laboratory: PCR amplification of DNA and gel analysis.
This module provides an introduction to contemporary digital systems design. Starting with the fundamental building blocks of digital systems the module outlines both theoretical and practical issues for implementation. Practical work includes the use of digital simulation and analysis software for implementing real-world problems.
Mathematics is the fundamental language of engineering, allowing complex ideas to be formulated and developed. This course provides the sound basis of mathematical techniques and methods required by almost all other modules in the department's engineering courses. Topics covered include functions, set theory, complex numbers, calculus, linear algebra, statistics and probability. The lectures are supported by assessed examples classes, taken in small groups.
This module expands the introductory mathematics covered in EL318 and provides students with the appropriate mathematical tools necessary for the further study of electronic, mechanical and computer systems. The main emphasis of the course is in applied calculus, which isused to solve real-world engineering problems.. The lectures are supported by assessed examples classes, taken in small groups.
This module will consider the anatomy and function of normal tissues, organs and systems and then describe their major pathophysiological conditions. It will consider the aetiology of the condition, its biochemistry and its manifestation at the level of cells, tissues and the whole patient. It may also cover the diagnosis and treatment of the disease condition.
Indicative topics will include:
Cells and tissues
Cell communication and homeostasis
Introduction to the nervous system
The cardiovascular system
The respiratory system
The immune system and inflammation
Blood cells and clotting
The Urinary system
The digestive system, liver and pancreas
Communication Skills in Biosciences: Essay writing, oral presentations, laboratory reports, the scientific literature and literature reviews. Working in groups.
Techniques in Biomolecular Science: Immunochemistry. Monoclonal and polyclonal antibody production, immuno-chromatography, ELISA and RIA. Electrophoresis, Immunoblotting, Protein Determination, Activity Assays, Purification.
Computing for Biologists: Bioinformatics, phylogenetic trees, database searches for protein/DNA sequences.
Mini-project – introduction to research skills: Students will work in groups of eight to undertake directed experimental work (Group Project) before extending the project further through self-directed experiments working as a pair (Mini Project).
Careers: The programme will be delivered by the Careers Advisory Service and will review the types of careers available for bioscience students. The sessions will incorporate personal skills, careers for bioscience graduates, records of achievement, curriculum vitae preparation, vacation work, postgraduate study, interview skills and action planning.
The phasor concept. Phasor relationships for R, L and C elements. Circuit laws using phasors. AC power. Instantaneous power. Average power. Effective value of a sinusoidal waveform. Maximum power transfer and conjugate matching. The transformer. Using transformers in circuit matching.
ELECTRONIC DEVICES AND CIRCUITS
Semiconductors, conductors and insulators. Conduction in semiconductors. N-type and P-type semiconductors. The PN junction. Biasing the PN junction, current voltage characteristics. The PN diode, ideal and practical models. The Zener diode. Optical diodes. Bipolar Junction Transistor (BJT) and Field Effect Transistor (FET). Basic operation, characteristics, parameters and biasing. The transistor as an amplifier. The transistor as a switch. Transistor packages.
GENERAL PRINCIPLES OF MEASUREMENT AND INSTRUMENTATION
Purpose, structure and classification of measurement systems. Systematic characteristics (range and span, errors and accuracy, linearity, sensitivity and hysteresis). Noise and noise reduction. Calibration, traceability and standards. Power supplies, regualtion and isolation.
Introduction of a range of sensors and transducers. Resistive sensors. Capacitive sensors. Ultrasonic sensors. Electromagnetic sensors. Optical sensors. Radiological sensors. Semiconductor sensing elements. Measurement of temperature, pressure, displacement, force and flow.
Body temperature. The circulation, blood flow and blood pressure. Muscles and the EMG.The heart, the ECG and micovolt cardiac potentials. Speech and speech therapy. Hearing and audiology.
Special requirements for medical instrumentation – size and weight, noise, isolation, and safety. Physiological measurement examples – temperature, flow, EMG, ECG, Audiometry, instrumentation for Speech Therapy. Regulatory and manufacturing requirements – CE marking and MHRA Medical Device Registration.
EXAMPLES CLASS – GENERAL PRINCIPLES OF MEASUREMENT AND INSTRUMENTATION
Two assessed classes.
EXAMPLES CLASS – SENSING DEVICES
Two assessed classes.
EXAMPLES CLASS – PHYSIOLOGICAL SIGNALS
An unassessed demonstration of examples of physiological measurement.
The aim of this module is to provide the students with the understanding of how the human body can be represented as a mechanical system and then analysed using principles of mechanics. For example the module explains how muscles and joints act as structures to provide equilibrium or generate movement. To achieve this, the module introduces firstly the concepts of statics, dynamics and mechanisms, and subsequently the module shows how these concepts can be applied to analyse the human body as a mechanical system.
The module introduces fundamental techniques employed in image processing and pattern recognition providing an understanding of how practical pattern recognition systems may be developed able to address the inherent difficulties present in real world situations. The material is augmented with a study of biometric and security applications looking at the specific techniques employed to recognise biometric samples.
The module consists of a practical group project involving both hardware and software. Also included is a series of supporting lectures. Students work in groups of typically four. The project provides an opportunity for students to gain experience not only in technical areas such as PC based data acquisition, computer interfacing, visual programming and hardware design and construction but also in transferable skills including team working, project management, technical presentations and report writing.
This module introduces basic concepts and techniques for describing and analysing continuous and discrete time signals and systems. It also introduces the fundamentals of feedback control systems, covering techniques for the analysis and design of such systems.
The module provides an introduction to the basic knowledge required to understand, design and write computer programs and the basic principles underlying the process of Software Engineering. No previous programming experience is assumed and the module proceeds via a sequence of lectures supported by simple exercises designed to give practical experience of the concepts introduced in the lectures.
Reproductive System: Male and female reproductive systems; Endocrine control of reproduction; Fertilisation; Early embryogenesis; Pregnancy and Parturition; Reproductive disorders.
Muscle: Muscle types: skeletal, smooth and cardiac; Structure of muscle; Molecular basis of contraction; Regulation of contraction including neural control; Energy requirements of muscle; Types of movement: reflex, voluntary, rhythmic; Muscle disorders.
Nervous System: Cells of the nervous system- neurons and glia; Electrical properties of neurons- action potential generation and conduction; Synaptic structure and function- transmitters and receptors; Structural organization of the central nervous system (CNS) and function of individual regions; Organization and function of the peripheral nervous system (PNS)- somatic motor, autonomic (sympathetic and parasympathetic) and sensory; Sensory systems- vision, hearing, taste, smell, pain. Disorders of the nervous system.
Endocrine System: Endocrine glands; Classes of hormones; Mechanisms of hormone action; Regulation of hormone release; Endocrine disorders.
Introduction to the project, research techniques, poster design, report structure and writing.
Biomaterials are those materials intended to interface with biological systems to assess, treat, support or replace any tissue, organ or function of the body. The aim of this module is to provide the students with the understanding of biomaterials with special reference to their interaction with the biological environment. To achieve this, the module introduces firstly mechanics of materials, by explaining the concepts such as stress, strain, bending and shear. Subsequently the module provides examples of biomaterials and how they are used in the human body.
This module introduces the issues relating to the development of commercial electronic products. Topics include design, production techniques, the commercial background of a company, quality, safety and electromagnetic compatibility standards, electromagnetic compatibility issues and product reliability, ethical and environmental issues.
This module continues the study of classical control and signal processing and further takes the classical control and signal processing developed in module EL569 into the digital domain. Tools are developed for analysis in the digital environment and there is a strong emphasis on design and evaluation.
The aim of the module in Medical Physics is to provide a primer into this important physics specialisation. The range of subjects covered is intended to give a balanced introduction to Medical Physics, with emphasis on the core principles of medical imaging, radiation therapy and radiation safety. A small number of lectures is also allocated to the growing field of optical techniques. The module involves several contributions from the Department of Medical Physics at the Kent and Canterbury Hospital.
Radiation protection (radiology, generic); Radiation hazards and dosimetry, radiation protection science and standards, doses and risks in radiology; Radiology; (Fundamental radiological science, general radiology, fluoroscopy and special procedures); Mammography (Imaging techniques and applications to health screening); Computed Tomography (Principles, system design and physical assessment); Diagnostic ultrasound (Pulse echo principles, ultrasound imaging, Doppler techniques); Tissue optics (Absorption, scattering of light in the tissue); The eye (The eye as an optical instrument); Confocal Microscopy (Principles and resolutions); Optical Coherence Tomography (OCT) and applications; Nuclear Medicine (Radionuclide production, radiochemistry, imaging techniques, radiation detectors); In vitro techniques (Radiation counting techniques and applications); Positron Emission Tomography (Principles, imaging and clinical applications); Radiation therapies (Fundamentals of beam therapy, brachytherapy, and 131I thyroid therapy); Radiation Protection (unsealed sources); Dose from in-vivo radionuclides, contamination, safety considerations.
Bioinformatics Data sources & Sequence analysis: Databases and data availability. Using sequence data for analysis – sequence searching methods, multiple sequence alignments, residue conservation, Protein domains and families.
Protein Bioinformatics Methods: Protein structure and function prediction. Prediction of binding sites/interfaces with small ligands and with other proteins. Bioinformatics analyses using protein data.
Genomics: An introduction to the analysis of genomic data, primarily focussing on the data available from genome sequencing – how it can be used to study genetic variants and compare genomes (i.e. comparative and functional genomics).
Cancer formation and progression; underlying factors, cancer cell heterogeneity, uncontrolled cell division, invasive growth/ metastasis formation.
The Molecular Biology of Cancer: (Proto-)Oncogenes, tumour suppressor genes, cell cycle control, cell death.
The 2021/22 annual tuition fees for this programme are:
For details of when and how to pay fees and charges, please see our Student Finance Guide.
For students continuing on this programme, fees will increase year on year by no more than RPI + 3% in each academic year of study except where regulated.*
The University will assess your fee status as part of the application process. If you are uncertain about your fee status you may wish to seek advice from UKCISA before applying.
There are no mandatory course-specific costs but please refer to our general additional costs page.
Kent offers generous financial support schemes to assist eligible undergraduate students during their studies. See our funding page for more details.
You may be eligible for government finance to help pay for the costs of studying. See the Government's student finance website.
Scholarships are available for excellence in academic performance, sport and music and are awarded on merit. For further information on the range of awards available and to make an application see our scholarships website.
At Kent we recognise, encourage and reward excellence. We have created the Kent Scholarship for Academic Excellence.
The scholarship will be awarded to any applicant who achieves a minimum of AAA over three A levels, or the equivalent qualifications (including BTEC and IB) as specified on our scholarships pages.
The scholarship is also extended to those who achieve AAB at A level (or specified equivalents) where one of the subjects is either mathematics or a modern foreign language. Please review the eligibility criteria.
Lectures; tutorial lectures; demonstrator-led examples classes; tutor-led small group supervisions; project work; laboratory experiments and computer-based assignments. Case studies on industry hot topics and emerging technologies. In particular the first, second and third-year projects give hands-on experience of electronic design and project management.
Problem-solving workshops allow you to develop skills in applying biomedical knowledge to solution of problems. Practical classes teach specific laboratory skills and demonstrate how they can be used to investigate biomedical systems.
Written unseen examinations; assessed coursework in the form of examples, class assignments, laboratory write-ups, assessed project work, assignments and essays and class tests.
For a student studying full time, each academic year of the programme will comprise 1200 learning hours which include both direct contact hours and private study hours. The precise breakdown of hours will be subject dependent and will vary according to modules. Please refer to the individual module details under Course Structure.
Methods of assessment will vary according to subject specialism and individual modules. Please refer to the individual module details under Course Structure.
The programme aims to:
You gain knowledge and understanding of:
You gain the following intellectual abilities:
You gain subject-specific skills in the following:
You gain transferable skills in the following:
All University of Kent courses are regulated by the Office for Students.
Based on the evidence available, the TEF Panel judged that the University of Kent delivers consistently outstanding teaching, learning and outcomes for its students. It is of the highest quality found in the UK.
Please see the University of Kent's Statement of Findings for more information.
Biological Sciences at Kent was ranked 24th out of 103 institutions in The Complete University Guide 2021. It was also ranked 5th for graduate prospects.
The School of Engineering and Digital Arts has an excellent record of student employability. Previous graduates have gone on to careers in:
Other graduates have gone on to work for a range of organisations including:
The School of Engineering and Digital Arts holds an annual Employability and Careers Day where you can meet local and national employers and discuss career opportunities. Ongoing support is provided by the School's dedicated Employability Officer.
The University also has a friendly Careers and Employability Service which can give you advice on how to:
Alongside specialist skills, you also develop the transferable skills graduate employers look for, including the ability to:
You can gain extra skills by signing up for one of our Kent Extra activities, such as learning a language or volunteering.
Our programme is accredited by the Institution of Engineering and Technology (IET), which enables fast-track career progression as a professional engineer.
Full-time applicants (including international applicants) should apply through the Universities and Colleges Admissions Service (UCAS) system. If you need help or advice on your application, you should speak with your careers adviser or contact UCAS Customer Contact Centre.
The institution code number for the University of Kent is K24, and the code name is KENT.
See the UCAS website for an outline of the UCAS process and application deadlines.
If you are applying for courses based at Medway, you should add the campus code K in Section 3(d).
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