Computing

Computer Science for Health with a Year in Industry - BSc (Hons)

UCAS code I101

2019

Computer Science is an exciting and rapidly evolving subject that offers excellent employment prospects and well-paid careers. Taught by acknowledged experts, this programme allows you to explore the subject’s fascinating growth as it relates to health and well-being, while developing a thorough understanding of current practice in computer science. You have the opportunity to put your skills into practice on a paid year in industry. 

Overview

You learn the skills to participate in the healthcare technology revolution, apply your expertise in assistive technology projects, develop the next generation of fitness tracking apps or contribute to future NHS software systems. The knowledge you gain in core fundamentals will also open doors to careers across the entire span of computer science disciplines.

Our programmes are taught by leading researchers who are experts in their fields. The School of Computing at Kent is home to several authors of leading textbooks, a National Teaching Fellow, an IET (Institute of Engineering and Technology) Fellow and two Association of Computer Machinery (ACM) award-winning scientists. Kent was awarded gold, the highest rating, in the UK Government’s Teaching Excellence Framework*.


Our degree programme

Our programme focuses on the technical aspects of computer science. You learn how to develop software, program mobile devices and discover the underlying protocols on which the internet runs. Specialist modules cover human physiology and sensing, advanced topics in eHealth, mobile fitness and health computing.

The first language you learn is Java, the standard programming language for many mobile devices and widely used in industry. Other areas covered include software engineering, network technology and human-computer interaction.

You study a broad range of compulsory modules in your first and second years, which prepare you for either a year in industry followed by a final year of study, or direct entry to the final year. In your final year, you select from a wide variety of options taught by acknowledged experts on cutting-edge computer science topics.

There is a continual emphasis on health-related computing which includes mobile devices, health and fitness tracking, analysis of human measurements and data, understanding of back-end IT infrastructure, front-end web-based and mobile applications, data security, and human-centric computing.

We also offer modules that allow you to gain practical experience. On our Kent IT Consultancy option, you learn how to become an IT consultant, providing computing support to local organisations and businesses while earning credits towards your degree.

Year in industry

Your year in industry takes place between your second and final years. Our students go to a wide range of companies including:

  • IBM 
  • Intel
  • Disney
  • Morgan Stanley.

They have also been to overseas employers in locations including Amsterdam, Hong Kong and the US. 

You can take this programme as a three year degree with no year in industry. For more information please see Computer Science for Health.

Extra activities

Apart from core learning towards your degree, we provide access to a wealth of other activities such as entrepreneurship (including business start-up opportunities), community engagement, public lectures, participation in short research projects and assistance in obtaining summer placements.

The School of Computing also hosts events that you are welcome to attend. These include our successful seminar programme where guest speakers from academia and industry discuss current developments in the field. 

Professional networks

Our programmes are informed by a stakeholder panel of industry experts who give feedback on the skills that employers require from a modern workforce.

Our two dedicated placement co-ordinators help students obtain and benefit from high-quality work placements. Previous year in industry participants have worked with leading companies such as BAE Systems, Citigroup and The Walt Disney Company. Many return to their final year with the security of an employment offer – testament to the high esteem in which our graduates are held by industry.

We also have a dedicated Employability Coordinator who is the first point of contact for students and employers.


*The University of Kent's Statement of Findings can be found here.

Independent rankings

Computer Science at Kent scored 92.1 out of 100 in The Complete University Guide 2019.

For graduate prospects, Computer Science at Kent scored 92% in The Guardian University Guide 2019, over 91% in The Times Good University Guide 2019 and 93 out of 100 in The Complete University Guide 2019.

Of Computer Science students who graduated from Kent in 2017 and completed a national survey, over 92% were in professional work or further study within six months (DLHE).

Teaching Excellence Framework

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.

TEF Gold logo

Course structure

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.

Stage 1

Compulsory modules currently include Credits

This module provides an introduction to object-oriented software development. Software pervades many aspects of most professional fields and sciences, and an understanding of the development of software applications is useful as a basis for many disciplines. This module covers the development of simple software systems. Students will gain an understanding of the software development process, and learn to design and implement applications in a popular object-oriented programming language. Fundamentals of classes and objects are introduced and key features of class descriptions: constructors, methods and fields. Method implementation through assignment, selection control structures, iterative control structures and other statements is introduced. Collection objects are also covered and the availability of library classes as building blocks. Throughout the course, the quality of class design and the need for a professional approach to software development is emphasised and forms part of the assessment criteria.

View full module details
15

Mathematical reasoning underpins many aspects of computer science and this module aims to provide the skills needed for other modules on the degree programme; we are not teaching mathematics for its own sake. Topics will include algebra, reasoning and proof, set theory, functions, statistics and computer arithmetic.

View full module details
15

An introduction to databases and SQL, focussing on their use as a source for content for websites. Creating static content for websites using HTML(5) and controlling their appearance using CSS. Using PHP to integrate static and dynamic content for web sites. Securing dynamic websites. Using Javascript to improve interactivity and maintainability in web content.

View full module details
15

This module provides an introduction to human-computer interaction. Fundamental aspects of human physiology and psychology are introduced and key features of interaction and common interaction styles delineated. A variety of analysis and design methods are introduced (e.g. GOMS. heuristic evaluation, user-centred and contextual design techniques). Throughout the course, the quality of design and the need for a professional, integrated and user-centred approach to interface development is emphasised. Rapid and low-fidelity prototyping feature as one aspect of this.

View full module details
15

Design and communication, what makes for good written communication, how people get and process information, Personal Development Project, effective spoken communication, how to work successfully in a group, doing academic research, about preparing and giving a presentation, history of computing and the history of communication, the effects of technology, Health and safety issues with computing, the Business of Computing, Employment in IT, software development and software engineering, preparing for examinations, designing –for the web: web usability and web accessibility, the basics of IPR, relevant Laws applying to the use and development of computing, such as the Computer Misuse Act and the Data Protection Acts.

View full module details
15

This module introduces Stage I students to current state of the art in the application of computing technology and data analysis to human health and modern medicine. They will also acquire hands-on technical skills by working with real data in assessments and practical sessions

View full module details
15

This module builds on the foundation of object-oriented design and implementation found in CO320 to provide both a broader and a deeper understanding of and facility with object-oriented program design and implementation. Reinforcement of foundational material is through its use in both understanding and working with a range of fundamental data structures and algorithms. More advanced features of object-orientation, such as interface inheritance, abstract classes, nested classes, functional abstractions and exceptions are covered. These allow an application-level view of design and implementation to be explored. Throughout the course, the quality of application design and the need for a professional approach to software development is emphasised.

View full module details
15

The main aims of this module are to explore and gain knowledge of human physiology. Students will study the major systems of the human body including the musculoskeletal system, the cardiovascular system and the nervous system. Students will gain an understanding of their structure and function.

View full module details
15

Stage 2

Compulsory modules currently include Credits

This module provides an introduction to the theory and practice of database systems. It extends the study of information systems in Stage 1 by focusing on the design, implementation and use of database systems. Topics include database management systems architecture, data modelling and database design, query languages, recent developments and future prospects.

View full module details
15

Building scaleable web sites using client-side and and server-side frameworks (e.g. JQuery, CodeIgniter). Data transfer technologies, e.g. XML and JSON. Building highly interactive web sites using e.g. AJAX. Web services. Deploying applications and services to the web: servers, infrastructure services, and traffic and performance analysis. Web and application development for mobile devices.

View full module details
15

This module aims to provide students with an understanding of the fundamental behaviour and components (hardware and software) of a typical computer system, and how they collaborate to manage resources and provide services in scales from small embedded devices up to the global internet. The module has two strands: 'Computer Architecture' and ‘Operating Systems and Networks’. Both strands contain material which is of general interest to computer users; quite apart from their academic value, they will be useful to anyone using any modern computer system.

View full module details
15

Fundamentals: Pseudocode; Primitive and object types; Multi-dimensional arrays; Resizing arrays; Loops; conditionals and recursion

Data structures and algorithm design: Dynamic data structures, such as linked lists, trees, maps, heaps, bags, queues (priority queues) and stacks (LIFO/FIFO); Sorting and searching algorithms; Graphs and graph algorithms (depth, breadth-first search and shortest path).

View full module details
15

The module studies in detail the activities and artefacts associated with the software development process as performed by a development team, particularly one that adopts an Agile methodology. Topics include

• Concepts, principles, practice and philosophy of an Agile approach to software development

• Collaboration: environment, programmer collaboration, team values, customer involvement, standards, reporting and professional responsibility

• Planning: release and iteration/sprint planning, risk assessment, stories and estimating

• Development: incremental requirements, customer tests, test-driven development, refactoring, simple design, incremental design and architecture, spike solutions,

performance optimisation

• Agile project management: roles, values and team philosophy; management of scope, time, cost, quality and risk.

• Broad concepts of software security for users as well as system developers, including secure online behaviour and computer security both in work and home

environments. Think about the risk of software security breaches for users.

• Systems Analysis.

• Object-Oriented methods and the use of UML for modelling of requirements (Class, Use Case, Activity, Sequence and State diagrams).

View full module details
15

Students will apply Agile Development techniques to a prescribed problem that involves the development of a software solution.

View full module details
15

• Propositional & Predicate Logic, including proofs

• Formal languages: finite automata and regular expressions

• Elements of CFGs, Turing machines and decidability

• Introduction to Concurrency and Parallelism, threading model

• Synchronisation primitives for mutual exclusions & condition synchronization (e.g. Semaphores, Critical regions, Monitors)

• Safety and Liveness properties (e.g. Deadlocks, Livelocks, Starvation, Priority Inversion)

• Concurrency patterns (e.g., Producer-Consumer, Thread Pools, Lambda & Streams, Futures)

• Overview of other concurrency models (e.g. Message Passing, Tuple Spaces, CSPs, Actors, Transactions, Events)

View full module details
15

This module guides Stage 2 students in their understanding of the current state of the art in the application of computer science, computing technology and data analysis to human health and modern medicine

1. An introduction of basic concepts related to current health-related computing, and innovation in healthcare that advanced computing techniques can enable.

2. Review of representative example healthcare related computing applications.

3. Introduction to the handling of clinical records, medical data and health systems, including an appreciation of the ethics issues pertaining to health-based computing systems.

4. Development of the use of analysis tools such as Matlab for medical and health data handling and analysis, for example in the automated analysis of medical imagery, or similar methods of computer processing that would be suitable for mobile and/or web based handling and analysis.

5. Introduction to the techniques, limitations and potential of big-data analysis for human health related computing systems of the present, as well as potential solutions in the future.

View full module details
15

Year in industry

You spend a year working in an industrial or commercial environment between Stages 2 and 3. To automatically progress onto the year in industry, you must pass Stage 2 at the first attempt. If you fail, you must pass the first resit opportunity in the August of the same year. Students who do not obtain a work placement will have their registration changed to the equivalent three-year programme without a year in industry.

Compulsory modules currently include Credits

Stage 3

Compulsory modules currently include Credits

An overview of basic concepts related to eHealth and a perspective on current HIT (Health Information Technology) and innovation. Review of current healthcare related IT systems. The use of information technology for handling clinical data, health systems. Data representation and knowledge management. Security and privacy. Ethics and legal requirements of eHealth systems. Clinical decision support systems. TeleHealth tools for remote diagnosis, monitoring, and disease management. Delivery and monitoring platforms for both hospitals and home environment. Innovation in eHealth systems leading to start-up companies.

View full module details
15

This module will provide the student with an understanding of basic principles of signals; introduce digitisation methods such as sampling, quantisation and coding; describe and apply signal analysis techniques, such as segmentation, noise reduction, filtering, spectral analysis, feature extraction and classification (including recognition and decision making) to solve practical signal analysis problems using Matlab.

View full module details
15
Optional modules may include Credits

Students, working in small groups, undertake a project related to computer science and/or software engineering. The project may be self-proposed or may be selected from a list of project proposals. A project will involve the specification, design, implementation, documentation and demonstration of a technical artefact, demonstrating the ability to synthesise information, ideas and practices to provide a quality solution together with an evaluation of that solution.

View full module details
30

As a research project, this module is normally aimed at students who are achieving at upper second class level and above, and who may be intending to undertake research following graduation. Each student undertakes a project related to computer science and/or software engineering. The project may be self-proposed or may be selected from a list of project proposals. A project will involve background study and working on an open-ended research problem.

View full module details
30

Security has always been an important aspect of computing systems but its importance has increased greatly in recent years. In this module you learn about areas where security is of major importance and the techniques used to secure them. The areas you look at include computer operating systems (and increasingly, distributed operating systems), distributed applications (such as electronic commerce over the Internet) and embedded systems (ranging from smart cards and pay-TV to large industrial plant and telecommunications systems).

View full module details
15

In this module you learn what is meant by neural networks and how to explain the mathematical equations that underlie them. You also build neural networks using state of the art simulation technology and apply these networks to the solution of problems. In addition, the module discusses examples of computation applied to neurobiology and cognitive psychology.

View full module details
15

E-commerce is an increasingly important area for consumers, businesses and national economies. This module introduces what is meant by electronic commerce, and discusses its economic and social implications, its drivers and limitations. You will learn about the principal features of business-to-business and business-to-customer e-commerce and compare them with traditional forms of trading. The course also includes the chance to implement a simple end-to-end e-commerce system.

View full module details
15

Indicative topics include:

• Resource Description Framework (RDF) & RDF Schema:

• Information representation and knowledge exchange on the web

o Applications of RDF

• RDF Query and Inference Languages (e.g. SPARQL etc.)

• Web Ontology Language (OWL):

o Publishing and sharing of ontologies

• Knowledge management, asset management, enterprise integration

o Automated agents

• Existing Shared Ontologies (e.g. FOAF, DC, SKOS etc.)

• Metadata and Provenance

• The Wider Picture:

o Data trust and proof issues

o Computer law and professional issues

• The future of the Web (these lists are not exhaustive):

o Web 3.0: the Semantic Web; cognitive architecture; automated reasoning; distributed computing; composite applications; semantic wikis etc.

• Aim to give students the tools to critically evaluate the Semantic Web (and alternative proposals)

View full module details
15

Students taking this module will undertake one or (typically) more assignments for the Kent IT Consultancy (KITC). Each assignment will be of one of three types:

Work on one of KITC's contracts with an external client. To the extent that client-funded work allows, every student will be given at least one assignment of this type. Wherever practical, a student will be encouraged to participate in the negotiation and pricing of contracts, under the ultimate supervision of KITC management. For each assignment, the student may work on the assignment individually or as part of a group, as directed by KITC. A contribution to the infrastructure of KITC itself.

A contribution to the infrastructure of KITC itself. These assignments work in a similar way to external assignments, but with KITC as the client.

Formulating a costed proposal for the future development of KITC, and presenting reasoned argument in support of the proposal to KITC management, as a candidate for inclusion in KITC's strategic plan for the following academic year.

View full module details
15

Data mining is a process of extracting, from a large amount of data, interesting patterns that are non-trivial, hidden, new and potentially useful. It is a rapidly growing field and is becoming important because with the increasing quantity and variety of online data collections by many organizations and commercial enterprises, there is a high potential value of patterns discovered in those collections.

This module looks at different data mining techniques and gives you the chance to use a state-of-the-art data-mining tool and evaluate the quality of the discovered knowledge. The topics include: introduction to data mining and knowledge discovery process, data description, , data pre-processing, attribute selection, market basket analysis and association rules, classification, clustering, outlier detection, post-processing, social impact and trend of data mining.

View full module details
15

Students taking this module will undertake two or (typically) more assignments for the Kent IT Consultancy (KITC). Each assignment will be of one of three types:

Work on one of KITC's contracts with an external client. To the extent that client-funded work allows, every student will be given at least one assignment of this type. Wherever practical, a student will be encouraged to participate in the negotiation and pricing of contracts, under the ultimate supervision of KITC management. For each assignment, the student may work on the assignment individually or as part of a group, as directed by KITC.

A contribution to the infrastructure of KITC itself. These assignments work in a similar way to external assignments, but with KITC as the client.

Formulating a costed proposal for the future development of KITC, and presenting reasoned argument in support of the proposal to KITC management, as a candidate for inclusion in KITC's strategic plan for the following academic year. Every student will have at least one assignment of this type.

View full module details
30

The following is indicative of topics/themes this module will include:

• An overview of basic concepts related to Computational Intelligence (CI) techniques, such as heuristic search and optimisation

• Presentation of different CI algorithms, such as hill climbing, simulated annealing, genetic algorithms and genetic programming

• An overview of basic concepts related to real-world problems related to business, economics and finance, such as financial forecasting, automated bargaining, portfolio optimisation, and timetabling

• The use of Computational Intelligence techniques to solve real-world problems

• Computational Intelligence decision support systems and software wind tunnels for testing new markets and strategies

View full module details
15

Packet data networks, overview of general equipment and function (e.g. hubs, switches, routers). Large network architecture (e.g. the Internet).

The OSI Seven layer model and packet encapsulation.

An understanding and appreciation for physical issues (such as cabling and wireless mediums, bandwidth, interference, etc).

Data-link layer issues (e.g. IEEE 802.3, IEEE 802.11, collisions, retransmissions, error recovery)

Network layer issues covering underlying protocols (e.g. IPv4/IPv6) and routing protocols (e.g. RIP/OSPF/AODV)

Transport layer issues and protocols (e.g. TCP/UDP)

Session layer issues and protocols (e.g. TCP).

Presentation layer overview

Application layer protocols (e.g. DNS, HTTP, FTP, SMTP/POP3)

View full module details
15

This module aims to enable students to understand the social and economic changes that have raised the status of enterprise, small business and entrepreneurial ventures in the global economy. It examines the diverse nature of entrepreneurs, their characteristics and motivations, as well as the barriers and issues facing entrepreneurs when planning and establishing a new venture.

The key topics of the module are:

1) Factors that have influenced the growth of the enterprise culture in the UK.

2) The role and relevance of SMEs in the UK economy; definitions of SMEs; statistical information; Government policies and initiatives, and support agencies.

3) Whether entrepreneurs are born or made; whether enterprise skills can be taught or learned, and whether entrepreneurs differ from business owners and other managers.

4) Enterprise and innovation development in organisations.

5) Differences in attitudes, objectives, skill requirements and business strategies between small and large firms.

6) Surviving the early stages of business development, including failure rates in new and small enterprises and barriers to growth and development.

7) The planning process for starting a new venture – including risks and liabilities; problems and pitfalls, and potential profit and success.

8) The protection of ideas and intellectual capital.

9) Funding a new enterprise, including via 'friends, family and fools', business angels and venture capitalists.

10) Enterprise in different contexts, including corporate enterprise, public sector enterprise and social enterprise.

View full module details
15

The understanding and application of enterprise knowledge is seen as a transferable skill that can have cross-school application within the University, in that it has relevance to students from a broad range of academic disciplines who might be considering self-employment after graduation.

The curriculum is based on the Small Firms Enterprise Development Initiative (National Standards-setting body for small business) Standards for Business Start-up, but has been expanded to include contemporary issues such as Intellectual Property and recent legislation.

The module will include the following areas of study:

1) Why firms become insolvent – economic financial and operational reasons for business failure; risks & liabilities; skills requirements for business ownership; self-development planning; sources of advice, and support for businesses.

2) The new business planning process and format - developing and evaluating the business idea, and producing a business plan for potential lenders.

3) Financial aspects – budgetary planning and control; cash-flow and working capital; understanding financial accounting and key financial documents; break-even analysis; credit control, and debt recovery.

4) Market research, competition and barriers to market entry - identifying customers; market segmentation; planning the sales and marketing processes; customer perceptions and customer care, and developing quality standards for the business

5) Legal issues - reporting requirements; UK & EU law relevant to small businesses; business formats and trading status and their respective risks and liabilities; insurance; insolvency, and intellectual property rights such as patents and copyright.

6) Planning and employing staff - planning and obtaining premises; physical and financial resources, and the phased implementation of the business plan.

View full module details
15

The topic areas covered in this module build upon the knowledge gained in SS348 Introduction to Fitness Testing & SS570 Fitness Training Methods, which covers the fundamental aspects of exercise testing and prescription. Special populations are those groups of individuals that may need some adaptation or modification to an exercise prescription or programme, to take into consideration a limitation, whether that be physiological, biological or psychosocial. The emphasis is on promoting health, fitness and safety in exercise, as well as some consideration being given to performance environments.

A synopsis of topics included in this module are:

- Exercise, physical activity & health

- Fitness assessment issues related to special population groups

- Children & physical activity

- Females & exercise issues

- Exercise considerations for a sedentary population

- Exercise & the older adult

- Special Exercise considerations & adaptations for special populations

- Risks & benefits of exercise for special populations

- Psychosocial issues & strategies for exercise / physical activity adherence

View full module details
15

100% coursework

You focus on developing your skills as a professional healthcare practitioner to become an effective user of research findings, with a view to the enhancement of quality service outcomes. Sessions concentrate on the analysis of literature in order to inform evidence-based practice. You become familiar with critical appraisal tools and the statistical principles used to analyse data. The module culminates in an assignment designed to consider the extent of external evidence available and how this can be applied to improve outcomes within your area of professional practice.

View full module details
15

Teaching and assessment

Teaching

Within the School of Computing are authors of widely used textbooks, a National Teaching Fellow and Association of Computer Machinery (ACM) Award-winning scientists. Programmes are taught by leading researchers who are experts in their fields.

Overall workload

Each stage comprises eight modules. Each module has two lectures and one to two hours of classes, making 14 formal contact hours per week and eight hours of 'homework club' drop-in sessions each term.

Academic support

We provide excellent support for you throughout your time at Kent. This includes access to web-based information systems, podcasts and web forums for students who can benefit from extra help. We use innovative teaching methodologies, including BlueJ and LEGO© Mindstorms for teaching Java programming.

Teaching staff

Our staff have written internationally acclaimed textbooks for learning programming, which have been translated into eight languages and are used worldwide. A member of staff has received the SIGCSE Award for Outstanding Contribution to Computer Science Education. The award is made by ACM, the world's largest educational and scientific computing society.

Assessment

The marks from stage one do not go towards your final degree grade, but you must pass to continue to stage two. 

Most stage two modules are assessed by coursework and end-of-year examination. Marks from stage two count towards your degree result. You must pass stage two to go on your year in industry.

The year in industry forms an integral part of your degree and constitutes 10% of your final grade. Assessment comprises an employer evaluation, a reflective report and a logbook/portfolio.

Most stage three modules are assessed by a combination of coursework and end-of-year examination. Projects are assessed by your contribution to the final project, the final report, and oral presentation and viva examination. Marks from stage three count towards your degree result.

Percentage of the course assessed by coursework

In stage three your project counts for 25% of the year's marks.

Contact Hours

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.

Programme aims

The progrmame aims to:

  • Provide a programme that will attract and meet the needs of both those contemplating a career in computing and those motivated primarily by an interest in Computer Science and its application to Health.
  • Be compatible with widening participation in higher education by offering a wide variety of entry routes.
  • Provide sound knowledge and systematic understanding of the principles of Computer Science.
  • Familiarise students with the rapidly evolving landscape of technologies and applications of Computer Science to areas that include modern medicine, health and sport, data mining, data handling and health data analytics.
  • Provide a fundamental computing skillset that will be of lasting value in a field that is constantly changing, and will act as a firm foundation for future learning.
  • Offer a range of options to enable students to match their interests and study some of the many aspects of health-related computing in greater depth.
  • Provide teaching which is informed by current research and scholarship in the field, which requires students to engage with aspects of work at the forefront of current research and development.
  • Develop general critical, analytical and problem solving skills that can be applied as best practice in context of their specialisation.
  • Prepare students for a successful and productive career as computer scientists and software engineers working to advance the application of computing in Health.

The year in industry additionally aim to:

  • Provide relevant work experience. 
  • Provide an opportunity to develop knowledge understanding and skills of relevance to Computer Science within an industrial or commercial organisation, preferably also of relevance to their specialisation.

Learning outcomes

Knowledge and understanding

You gain a knowledge and understanding of:

  • Hardware: the major functional components of a computer system.
  • Software: programming languages and practise; tools and packages; computer applications; structuring of data and information.
  • Communication and interaction: basic computer communication network concepts; communication between computers and people; the control and operation of computers CO 
  • Practise: problem identification and analysis; design development, testing and evaluation. 
  • An understanding of the scientific method and its applications to problem solving in this area.
  • Domain specific knowledge in Health: Understand the landscape of modern medicine, health and sport, and the potential for applications of Computer Science in these contexts.
  • Computer applications with emphasis on software for modern medicine, health and sport; structuring of data and information for Health applications.
  • Communication between computers and health service users and practitioners; the control and operation of computers and mobile platforms for Health.

Year in Industry programmes:

  • Aspects of the core subject areas from the perspective of a commercial or industrial organisation.

Intellectual skills

You gain the following intellectual skills:

  • Modelling: knowledge and understanding in the modelling and design of computer-based systems in a way that demonstrates comprehension of the trade-off involved in design choices. 
  • Reflection and communication: present succinctly to a range of audiences rational and reasoned arguments.
  • Requirements: Identify and analyse criteria and specifications appropriate to specific problems and plan strategies for their solution. 
  • Criteria evaluation and testing: Analyse the extent to which a computer-based system meets the criteria defined for its current use and future development. 
  • Methods and tools: Deploy appropriate theory, practices, and tools for the specification, design, implementation, and evaluation of computer-based systems.
  • Professional responsibility: Recognise and be guided by the professional, economic, social, environmental, moral and ethical issues involved in the sustainable exploitation of computer technology. 
  • Computational thinking: demonstrate a basic analytical ability and its relevance to everyday life.
  • Apply some of the intellectual skills specified for the programme from the perspective of a commercial or industrial organisation.

Subject-specific skills

You gain the following subject-specific skills:

  • Design and implementation: Specify, design, and implement reliable secure and usable computer-based systems.
  • Evaluation: Evaluate systems in terms of general quality attributes and possible trade-offs presented within the given problem. 
  • Information management: Apply the principles of effective information management, information organisation, and information-retrieval skills to information of various kinds, including text, images, sound, and video.
  • Tools: Deploy effectively the tools used for the construction and documentation of software, with particular emphasis on understanding the whole process involved in using computers to solve practical problems. Operation: Operate computing equipment and software systems effectively. 
  • The ability to plan and manage projects to deliver computing systems within the constraints of requirements, timescale and budget.
  • The ability to recognise any risks and safety aspects that may be involved in the deployment of computing systems within a given context.
  • The ability to critically evaluate and analyse complex problems, argument and evidence, including those with incomplete information, and devise appropriate computing solutions, within the constraints of a budget.
  • Understand, design, and evaluate software for Health, including fixed and mobile software for social, medical and lifestyle interaction with humans.
  • Create new software and applications for Health, showing an understanding and appreciation for the risks and benefits of software applications in such a human-centric field.
  • Apply some of the subject-specific skills specified for the programme from the perspective of a commercial or industrial organisation.

Transferable skills

You gain the following Transferable Skills:

  • Teamwork: Be able to work effectively as a member of a development team. 
  • Interaction reflection and Communication: Make succinct presentations to a range of audiences about technical problems and their solutions.
  • Information Technology: Effective use of general IT facilities; information retrieval skills
  • Intellectual skills: critical thinking; making a case; numeracy and literacy; information literacy. The ability to construct well-argued and grammatically correct documents. The ability to locate and retrieve relevant ideas, and ensure these are correctly and accurately referenced and attributed.
  • Self-management: Managing one’s own learning and development, including time management and organisational skills.
  • Professional Development: Appreciating the need for continuing professional development in recognition of the need for lifelong learning.
  • Contextual awareness: the ability to understand and meet the needs of individuals, business and the community, and to understand how workplaces and organisations are governed. 
  • Sustainability: recognising factors in environmental and societal contexts relating to the opportunities and challenges created by computing systems across a range of human activities. 

Careers

Graduate destinations

Our graduates have gone on to work in:

  • software engineering
  • mobile applications development
  • systems analysis
  • consultancy
  • networking
  • web design and e-commerce
  • finance and insurance
  • commerce
  • engineering
  • education
  • government
  • healthcare.

Recent graduates have gone on to develop successful careers at leading companies such as:

  • BAE Systems
  • Cisco
  • IBM
  • The Walt Disney Company
  • Citigroup
  • BT.

Help finding a job

The University has a friendly Careers and Employability Service, which can give you advice on how to:

  • apply for jobs
  • write a good CV
  • perform well in interviews.

The School has a dedicated Employability Coordinator who is a useful contact for all student employability queries.

Work experience

You can gain commercial experience working as a student consultant within the Kent IT Consultancy. 

Career-enhancing skills

You graduate with a solid grounding in the fundamentals of computer science and a range of professional skills, including:

  • programming
  • modelling
  • design.

To help you appeal to employers, you also learn key transferable skills that are essential for all graduates. These include the ability to:

  • think critically
  • communicate your ideas and opinions
  • analyse situations and troubleshoot problems
  • work independently or as part of a team.

You can also gain extra skills by signing up for one of our Kent Extra activities, such as learning a language or volunteering.

Professional recognition

This is a new programme. When a full-cohort has graduated, we will apply for accreditation from BCS, the Chartered Institute for IT. 

Entry requirements

Home/EU students

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. 

It is not possible to offer places to all students who meet this typical offer/minimum requirement.

New GCSE grades

If you’ve taken exams under the new GCSE grading system, please see our conversion table to convert your GCSE grades.

Qualification Typical offer/minimum requirement
A level

ABB

GCSE

Mathematics grade C

Access to HE Diploma

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.

BTEC Level 3 Extended Diploma (formerly BTEC National Diploma)

The University will consider applicants holding BTEC National Diploma and Extended National Diploma Qualifications (QCF; NQF; OCR) on a case-by-case basis. Please contact us for further advice on your individual circumstances.

International Baccalaureate

34 points overall or 16 points at HL including Mathematics 4 at HL or SL

International students

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.

Meet our staff in your country

For more advice about applying to Kent, you can meet our staff at a range of international events.

English Language Requirements

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. 

General entry requirements

Please also see our general entry requirements.

Fees

The 2019/20 annual tuition fees for this programme are:

UK/EU Overseas
Full-time £9250 £19000

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.* 

Your fee status

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.

Fees for Year in Industry

For 2019/20 entrants, the standard year in industry fee for home, EU and international students is £1,385

Fees for Year Abroad

UK, EU and international students on an approved year abroad for the full 2019/20 academic year pay £1,385 for that year. 

Students studying abroad for less than one academic year will pay full fees according to their fee status. 

General additional costs

Find out more about accommodation and living costs, plus general additional costs that you may pay when studying at Kent.

Funding

University funding

Kent offers generous financial support schemes to assist eligible undergraduate students during their studies. See our funding page for more details. 

Government funding

You may be eligible for government finance to help pay for the costs of studying. See the Government's student finance website.

Scholarships

General scholarships

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.

The Kent Scholarship for Academic Excellence

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.

The Key Information Set (KIS) data is compiled by UNISTATS and draws from a variety of sources which includes the National Student Survey and the Higher Education Statistical Agency. The data for assessment and contact hours is compiled from the most populous modules (to the total of 120 credits for an academic session) for this particular degree programme. 

Depending on module selection, there may be some variation between the KIS data and an individual's experience. For further information on how the KIS data is compiled please see the UNISTATS website.

If you have any queries about a particular programme, please contact information@kent.ac.uk.