Do you want to embark on a career working in e-commerce, information systems and computer consultancy? This course gives you the skills you need for the practical application of computing in areas that dominate our industry today, allowing you to fulfil your potential in the business sector.
Business and commerce rely heavily on information systems, especially now e-commerce is so widespread. This degree provides a balance of business and information technology and responds to industry needs, enhancing your employment prospects.
Our courses 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.
As part of your degree you will study a combination of computing and business-oriented modules.
You will learn:
In your first year, you learn how to program in an object-oriented language. In your second and final years, you further develop your programming skills and can specialise in an area of particular interest to you.
Your year in industry takes place between your second and final years, giving you invaluable work experience. You earn a salary and there may be the possibility of a job with the same company after graduation.
It is also possible to take this degree as a three-year programme, without a year in industry. For details, see Business Information Technology.
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.
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.
Please also see our general entry requirements.
ABB-BBC
Mathematics grade C
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.
Distinction, Distinction, Merit - Distinction, Merit, Merit
34 points overall or 15 points at HL including HL or SL Maths at 4 or SL Maths Studies at 5
Pass all components of the University of Kent International Foundation Programme with a 50% overall average and 50% in LZ013 Maths and Statistics (irrespective of whether GCSE Maths or equivalent has been obtained in pre-foundation studies).
International students should visit our International Student website for further specific information. International fee-paying students who require a Student visa cannot study part-time due to visa restrictions.
Please see our English language entry requirements web page.
If you need to improve your English language standard as a condition of your offer, you can attend one of our pre-sessional courses in English for Academic Purposes before starting your degree programme. You attend these courses before starting your degree programme.
Duration: 4 years full-time
Compulsory modules currently include:
CO320 - Introduction to Object-Oriented Programming (15 credits)
CO322 - Foundations of Computing I (15 credits)
CO323 - Databases and the Web (15 credits)
CO328 - Human Computer Interaction (15 credits)
CO337 - Computers and the Cloud (15 credits)
CO383 - Problem Solving with Algorithms (15 credits)
CB369 - Financial Accounting, Reporting and Analysis
CB312 - Introduction to Management
Compulsory modules currently include
CO548 - Software Engineering Process (15 credits)
CO532 - Database Systems(15 credits)
CO539 - Web Development (15 credits)
CB612 - New Enterprise Development
CB677 - Financial Management for Decision Making and Control
You spend a year working in an industrial or commercial environment between Stages 2 and 3.
Our students go to a wide range of companies including:
They have also been to overseas employers in locations including Amsterdam, Hong Kong and the US.
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.
Although it is your responsibility to find a suitable placement, the dedicated placement team will help to identify suitable opportunities, assist with your application and prepare you for interviews.
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:
CO792 - Industrial Placement Experience (90 credits)
CO793 - Industrial Placement Report (30 credits)
You choose one of the following compulsory modules:
CO650 - IT Consultancy Project
Optional modules may include:
CO656 - Computational Intelligence in Business, Economics & Finance (15 credits)
CO662 - Signal Analysis for Computing (15 credits)
CO816 - eHealth (15 credits)
CO634 - Computer Security and Cryptography (15 credits)
CO639 - Electronic Commerce (15 credits)
CO644 - Semantic Web (15 credits)
CO649 - Data Mining (15 credits)
CB729 - Enterprise and Entrepreneurship (15 credits)
CB742 - Creating Your Own Enterprise (15 credits)
CB760 - Business Law and Employment Rights (15 credits)
CB784 - Service and Supply Chain Management (15 credits)
CB5009 - Contract Law and Consumer Rights (15 credits)
CB697 - Managing People and Teams (15 credits)
CB726 - Leadership and Corporate Strategy (15 credits)
The module introduces students to theories of management beginning with classical management perspectives through to contemporary management concepts. It will illustrate the continuities and transformations in management thinking throughout the 20th and 21st century. The main topics of study include: Scientific Management; Human Relations Approach; Bureaucracy and Post-Bureaucracy; The Contingency Approach; Culture Management; Leadership; Aesthetic Labour; Extreme Management.
The module will begin with an introduction to the link between business and accounting in order to show the value to the students of their having some knowledge of accounting. The module is designed to teach students how to prepare, read and interpret financial information with a view to their being future business managers rather than accountants.
The module will continue with a brief demonstration of double-entry bookkeeping. Students will not be examined on this, it is merely to put bookkeeping and accounting in context. Following on from this, students will be shown how to prepare financial statements from a trial balance and make adjustments to the figures given by acting on information given in a short scenario.
The regulatory framework of financial reporting will be considered as will the annual reports and accounts of a variety of organisations. The module will finish will an analysis of financial statements with students shown how to interpret data and make sensible recommendations
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.
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.
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.
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.
This module equips students with an understanding of how modern cloud-based applications work. Topics covered may include:
• A high-level view of cloud computing: the economies of scale, security issues, ethical concerns, the typical high-level architecture of a cloud-based application, types of available services (e.g., parallelization, data storage).
• Cloud infrastructure: command line interface; containers and virtual machines; parallelization (e.g., MapReduce, distributed graph processing); data storage (e.g., distributed file systems, distributed databases, distributed shared in-memory data structures).
• Cloud concepts: high-level races, transactions and sequential equivalence; classical distributed algorithms (e.g., election, global snapshot, consensus, distributed mutual exclusion); scheduling, fault-tolerance and reliability in the context of a particular parallelization technology (e.g., MapReduce).
• Operating system support: network services (e.g., TCP/IP, routing, reliable communication), virtualization services (e.g., virtual memory, containers)
This module aims to strengthen the foundational programming-in-the-small abilities of students via a strong, practical, problem solving focus. Specific topics will include introductory algorithms, algorithm correctness, algorithm runtime, as well as big-O notation. Essential data structures and algorithmic programming skills will be covered, such as arrays, lists and trees, searching and sorting, recursion, and divide and conquer.
The module will begin with an introduction to the link between business and accounting in order to show the value to the students of their having some knowledge of accounting. The module is designed to teach students how to prepare, read and interpret financial information with a view to their being future business managers rather than accountants.
The module will continue with a brief demonstration of double-entry bookkeeping. Students will not be examined on this, it is merely to put bookkeeping and accounting in context. Following on from this, students will be shown how to prepare financial statements from a trial balance and make adjustments to the figures given by acting on information given in a short scenario.
The regulatory framework of financial reporting will be considered as will the annual reports and accounts of a variety of organisations. The module will finish will an analysis of financial statements with students shown how to interpret data and make sensible recommendations
This module is designed to provide students across the university with access to knowledge, skill development and training in the field of entrepreneurship with a special emphasis on developing a business plan in order to exploit identified opportunities. Hence, the module will be of value for students who aspire to establishing their own business and/or introducing innovation through new product, service, process, project or business development in an established organisation. The module complements students' final year projects in Computing, Law, Biosciences, Electronics, Multimedia, and Drama etc.
Project Management aims to provide an understanding of the key concepts and practices within the context of the organisational setting and the wider business and technological environment.
This module aims to develop a critical understanding of project management to enable students to recognise the importance of the discipline in a variety of organisational and functional contexts. Students should develop a critical understanding of the concepts employed in project management at strategic, systems and operational levels, and an appreciation of the knowledge and skills required for successful project management in organisations.
Included topics of the module are:
• Project life cycles and alternative development paths;
• Feasibility studies;
• Time management;
• Project planning and control techniques, including Gantt charts, CPM;
• Resource planning;
• Quality Control;
• Project communication;
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.
Building scaleable web sites using client-side 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.
The module studies in detail the activities and artefacts associated with software development process as performed by a development team (i.e. programming in the large).
This module aims to provide students with an understanding of the fundamental components (hardware and software) of a typical computer system, and how they collaborate to execute software programs. The module provides a compressive overview from the lowest level of abstractions in hardware to the highest level of abstractions of modern programming languages. For example, they will see logic circuits, machine language, programming language implementations, high-level languages, and applications. This material provides a general understanding of computers, and it will also prepare students to develop software considering the system perspective, e.g. cost of abstraction and performance implications.
The module studies team-based Agile software development in detail and places it in a wider software development context.
Topics covered include
• Concepts, principles, practice and philosophy of an Agile approach to software development, contrasting with more structured approaches.
• Collaboration: programmer collaboration, team values, customer involvement, project management, standards and reporting.
• Planning: release and sprint planning, risk assessment, user stories and resource estimating
• Development practices: incremental requirements, test-driven development, refactoring, scrum, code review, quality assurance, continuous integration.
• Tools: IDEs, version control, automated code quality evaluation, issue tracking.
• Ethics, Intellectual property, codes of conduct and professional responsibility.
You spend a year working in an industrial or commercial environment between Stages 2 and 3.
Our students go to a wide range of companies including:
They have also been to overseas employers in locations including Amsterdam, Hong Kong and the US.
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.
Although it is your responsibility to find a suitable placement, the dedicated placement team will help to identify suitable opportunities, assist with your application and prepare you for interviews.
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.
Students spend a year (minimum 44 weeks) working in an industrial or commercial setting, applying and enhancing the skills and techniques they have developed and studied in the earlier stages of their degree programme. The work they do is entirely under the direction of their industrial supervisor, but support is provided via a dedicated Placement Support Officer with the School. This support includes ensuring that the work they are being expected to do is such that they can meet the learning outcomes of the module.
Students spend a year (minimum 44 weeks) usually in an industrial, commercial, public sector, or similar setting, applying and enhancing the skills and techniques they have developed and studied in the earlier stages of their degree course.
The Assessments required for this module should provide evidence of the subject specific and generic learning outcomes, and of reflection by the student on them as an independent learner.
The placement work they do is entirely under the direction of their industrial supervisor, but support is provided by the CEMS Employability and Placements Team. This support includes ensuring that the work they are being expected to do is such that they can meet the learning outcomes of this module.
Participation in the placement year, and hence in this module, is dependent on students obtaining an appropriate placement, for which support and guidance is provided by the CEMS Employability and Placements Team. It is also dependent on students progressing satisfactorily from Stage 2 of their studies.
Students who do not obtain a placement will be required to transfer to the appropriate course without a Year in Industry.
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)
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.
Students will be expected to develop the ability to use appropriate techniques of analysis and enquiry within Operations and Service Management and to learn how to evaluate the alternatives and make recommendations. Topics include:
• The nature of services and service strategy
• Service development and technology
• Service quality and the service encounter
• Project/Event management and control
• Managing capacity and demand in services
• Managing inventories
This module is designed to provide students across the university with access to knowledge, skill development and training in the field of entrepreneurship with a special emphasis on developing a business plan in order to exploit identified opportunities. Hence, the module will be of value for students who aspire to establishing their own business and/or introducing innovation through new product, service, process, project or business development in an established organisation. The module complements students' final year projects in Computing, Law, Biosciences, Electronics, Multimedia, and Drama etc.
This module facilitates the development of an entrepreneurial mind-set, and equips students with necessary cutting-edge knowledge and skills vital for generating value in a knowledge based economy. The curriculum will include the following areas of study:
• Broader application of entrepreneurship
• Co-creation as a new form of generating value in an innovation ecosystem.
• Managing innovation entrepreneurially
• Entrepreneurial opportunity
• Entrepreneurial Motivation
• Entrepreneurial Marketing
• Entrepreneurial Finance – Finance fuels entrepreneurship.
The aim of this module is to provide students with in-depth knowledge about the accounting and control systems businesses use for making managerial decisions. In particular, the module focuses on profit planning decisions and it gives students a thoughtful understanding of the functioning and range of financial controls managers use for making profit planning decisions, related to both the business as a whole and its segments. Students are expected to conduct a management project: they will prepare a business plan that takes into account strategic, marketing and financial aspects. The module also enables students to know how to use accounting and control tools to assess business performance, provide feedback and give recommendations for improvements aimed to create more socially responsible and sustainable businesses. As such, this module is core to the degree program, because it gives an introduction to three key areas: managerial decision making, performance management and organisational financial management.
This module will explore more advanced management and organisational theory to facilitate students' examination of the challenges that face managers in contemporary organisations. As well as considering these challenges from a mainstream managerial perspective, the module will also draw on the perspective of critical management studies as a means of providing an alternative viewpoint on contemporary management issues. Indicative areas to be covered may include:
• Identity in organisations and how the construction and performance of it requires managers to cope with existential challenges around anxiety and freedom.
• The uses and abuses of managerial power and the inequality and insecurity that comes with it.
• Neoliberal capitalism and its various consequences for organisational life.
• Pressures to make organisations more sustainable, socially responsible, equal, diverse, and fair.
• Organisational cultures based on entrepreneurialism.
• The performance of gender in organisations.
• New organisational forms and their emphasis on Speed.
• The intensification of the control of Bodies, Spaces, and Time in contemporary organisations.
This module presents an overview of what work psychology is and its relevance and usefulness in improving our understanding and management of people (including ourselves) at work. Many work places operate sophisticated and expensive systems for assessing the costs and benefits of various workplace elements but often do not extend this to the management of employees. This module aims to demonstrate the benefits of having a comprehensive understanding of the role psychology can play in the management of people in contemporary organizations. Indicative content includes:
• Work psychology
• Individual differences and psychometrics
• Best practice personnel selection
• Stress and well-being
• Motivation
• Stereotypes and group behaviour
• Leadership and diversity
• The dark side of personality
• Political behaviour in the workplace
• The psychology of entrepreneurs
• Using work psychology to enhance employability
The aim of this module is to provide students with (1) a systematic understanding of how information technology is driving business innovation, (2) the methods and approaches used by managers to exploit new digital opportunities, and (3) an appreciation of the knowledge and skills needed to manage the business innovation. By the end of this module, students will be equipped with the necessary knowledge and tools to deal with current business issues including digital transformation and emerging business models via technological innovations.
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)
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).
In this module you learn what is meant by neural networks and how to explain the mathematical equations that underlie them. You also familiarise yourself with cognitive 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. The module also introduces artificial neural networks from the machine learning perspective. You will study the existing machine learning implementations of neural networks, and you will also engage in implementation of algorithms and procedures relevant to neural networks.
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.
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)
Students will spend one half-day per week for ten weeks in a school with a nominated teacher. They will observe sessions taught by their designated teacher and possibly other teachers. Later they will act somewhat in the role of a teaching assistant, by helping individual pupils who are having difficulties or by working with small groups. They may take 'hotspots': brief sessions with the whole class where they explain a technical topic or talk about aspects of university life. They must keep a weekly log of their activities. Each student must also devise a special project in consultation with the teacher and with the module convener. They must then implement and evaluate the project.
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
The module aim is to give students an overview and understanding of key theoretical, practical and philosophical research and issues around computational creativity, and to give them practical experience in writing and evaluating creative software.
The following is an indicative list of topics that may be covered:
• Introduction to computational creativity
• Examples of computational creativity software e.g. musical systems, artistic systems, linguistic systems, proof generator systems, systems for 2D and 3D design.
• Evaluation of computational creativity systems (both of the quality and the creativity of systems)
• Philosophical issues concerning creativity in computers
• Comparison of computer creativity to human creativity
• Collaborative creativity between humans and computers
• Overview of recent research directions/results in computational creativity
• Practical experience in writing creative software.
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.
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.
This module explores a range of different data mining and knowledge discovery techniques and algorithms. You learn about the strengths and weaknesses of different techniques and how to choose the most appropriate for any particular task. You use a data mining tool, and learn to evaluate the quality of discovered knowledge.
This module is concerned with a range of topics in video game design and development, including game physics, AI, level design, player behaviour, game rules and mechanics, as well as user interfaces. This module introduces students to game development using industry-standard software tools.
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.
Fees for Home undergraduates are £1,385.
Fees for Home undergraduates are £1,385.
Students studying abroad for less than one academic year will pay full fees according to their fee status.
Find out more about accommodation and living costs, plus general additional costs that you may pay when studying at Kent.
We have a range of subject-specific awards and scholarships for academic, sporting and musical achievement.
Search scholarshipsKent 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 A*AA over three A levels, or the equivalent qualifications (including BTEC and IB) as specified on our scholarships pages.
Within the School of Computing are authors of widely used textbooks. Programmes are taught by leading researchers who are experts in their fields.
Teaching is based on lectures, with practical classes and seminars, but we are also introducing more innovative ways of teaching, such as virtual learning environments and work-based tuition. Work includes group projects, case studies and computer simulations, with a large-scale project of your own choice in the final year.
Each stage comprises eight modules. Most modules run for a single 12-week term. Each module has two lectures and one to two hours of classes, usually making 14 formal contact hours per week and eight hours of 'homework club' drop-in sessions each term.
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.
Our staff have written internationally acclaimed textbooks for learning programming, which have been translated into eight languages and are used worldwide.
Assessment is by a combination of coursework and end-of-year examination and details are shown in the module outlines on the web. Project modules are assessed wholly by coursework.
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.
In stage three your project counts for 25% of the year's marks.
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:
Computer Science at Kent scored 90% overall in The Complete University Guide 2021.
Computer Science at Kent was ranked 15th out of 110 for graduate prospects and 8th for research intensity in The Complete University Guide 2021.
Graduates who have both IT knowledge and business skills can expect excellent career prospects. Our graduates have gone on to work in:
Recent graduates have gone on to develop successful careers at leading companies such as:
The University has a friendly Careers and Employability Service, which can give you advice on how to:
To help you appeal to employers, you learn key transferable skills that are essential for all graduates. These include the ability to:
You can also gain extra skills by signing up for one of our Kent Extra activities, such as learning a language or volunteering.
This degree has partial Chartered IT Professional (CITP) accreditation from the BCS, The Chartered Institute for IT.
This course page is for the 2021/22 academic year. Please visit the current online prospectus for a list of undergraduate courses we offer.
T: +44 (0)1227 823254
E: internationalstudent@kent.ac.uk
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