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This degree offers a broad base in computing skills, leading to a wide range of careers. You learn both object-oriented and web programming, as well as how to design and use database systems and electronic communication systems. You also get the chance to put your skills into practice during the year in industry.
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
The Computing degrees give you the skills you need for the practical application of computing to areas typically found in industry. These include e-commerce, information systems, and computer consultancy.
This is our general Computing programme, where a subject focus is decided during the course of study. You can also choose a themed degree where a specific focus (Consultancy) is decided at the time of enrolment and named in the degree title.
The degree looks at software applications and how they might be used within an information system. 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.
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 businesses while earning credits towards your degree.
Kent student Anamika talks about her course
Year in industry
Your year in industry takes place between your second and final year, giving you invaluable work experience. You earn a salary and there may be the possibility of a job with the same company after graduation.
In previous years, students have worked in a range of large and small organisations including well-known names such as:
- Thomson Reuters.
It is possible to take this degree as a three-year programme, without a year in industry. For details, see Computing.
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
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
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.
The course structure below gives a flavour of the modules and provides details of the content of this programme. This listing is based on the current curriculum and may change year to year in response to new curriculum developments and innovation.
|Compulsory modules currently include||Credits|
CO320 - Introduction to Object-Oriented Programming
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
CO322 - Foundations of Computing I
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
CO323 - Databases and the Web
CO325 - Foundations of Computing II
This module follows from CO322 and aims to provide students with more understanding of the theory behind the formal underpinnings of computing. It will build upon the abstract reasoning skills introduced in CO322. Matrices, vectors, differential calculus, probability and logic will be introduced.View full module details
CO328 - Human Computer Interaction
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
CO337 - Computers and the Cloud
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)View full module details
CO383 - Problem Solving with Algorithms
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.View full module details
CO520 - Further Object-Oriented Programming
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
|Compulsory modules currently include||Credits|
CO532 - Database Systems
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
CO539 - Web Development
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
CO544 - Networking
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
CO551 - Data Structures and Algorithms
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
CO552 - Agile Development and Software Security A
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
CO553 - Agile Development and Software Security B
Students will apply Agile Development techniques to a prescribed problem that involves the development of a software solution.View full module details
CO554 - Computing Theory and Concurrent Programming
• 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
Year in industry
You spend a year working in an industrial or commerical environment between Stages 2 and 3.
Our students go to a wide range of companies, including:
- Thomson Reuters.
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 School of Computing’s 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||Credits|
CO792 - Industrial Placement Experience
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.View full module details
CO793 - Industrial Placement Report
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 report 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.View full module details
You take CO600 or CO650 plus 90 credits from a list of optional modules.
|Compulsory modules currently include||Credits|
CO600 - Group Project
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
|Optional modules may include||Credits|
CO634 - Computer Security and Cryptography
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
CO639 - Electronic Commerce
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
CO644 - Semantic Web
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
CO649 - Data Mining
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
CO650 - IT Consultancy Project
Students taking this module will undertake two or (typically) more assignments for the Kent IT Clinic (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
CO656 - Computational Intelligence in Business, Economics & Finance
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 strategiesView full module details
CO662 - Signal Analysis for Computing
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
CO816 - eHealth
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
CB729 - Enterprise and Entrepreneurship
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
CB742 - Creating Your Own Enterprise
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
Teaching and assessment
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.
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, 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. 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 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. 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 two modules are assessed by coursework and end-of-year examination. Marks from stage two count towards your degree result.
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.
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:
- provide a programme which will attract and meet the needs of those contemplating a career involving a significant element of information technology and those motivated primarily by intellectual interests in applied computing
- provide a sound knowledge and systematic understanding of the principles of applied computing
- provide generally applicable skills that will be of lasting value in a constantly changing field
- offer a range of modules covering the foundations of information technology
- offer a range of options to enable students to study selected areas of information technology in depth
- provide teaching which is informed by current research and scholarship and which requires students to engage with aspects of work at the frontiers of knowledge
- develop general critical, analytical and problem solving skills that can be applied in a wide range of different applied computing settings.
Knowledge and understanding
You gain knowledge and understanding of:
- hardware: the major functional components of a computer system
- software: programming languages and practice; tools and packages; computer applications; structuring of data and information
- communications and interaction: basic computer communication network concepts; communication between computers and people; the control and operation of computers.
- practice: problem identification and analysis; design development, testing and evaluation
- organisations, their environment and their management, including many or all of the following: the management of people, operations management, finance, marketing and organisational strategy
- aspects of the core subject areas from the perspective of a commercial or industrial organisation.
You gain intellectual skills in:
- 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: presenting teaching/learning intellectual skills are developed through the teaching and learning programme outlined below. Students develop critical reflection by verbal and written discussion of key themes introduced in the core modules. Project work succinctly to a range of audiences rational and reasoned arguments
- requirements: identifying and analysing criteria and specifications appropriate to specific problems and planning strategies for their solution
- criteria evaluation and testing: analysinge the extent to which a computer-based system meets the criteria defined for its current use and future development
- methods and tools: deploying appropriate theory, practices and tools for the specification, design, implementation, and evaluation of computer-based systems.
- professional responsibility: recognising and being guided by the professional, economic, social, environmental, moral and ethical issues involved in the sustainable exploitation of computer technology
- computational thinking: demonstrating a basic analytical ability and its relevance to everyday life
- critically evaluating arguments and evidence
- analysing and drawing reasoned conclusions concerning structured and, to a more limited extent, unstructured problems
- applying some of the intellectual skills specified for the programme from the perspective of a commercial or industrial organisation.
You gain subject-specific skills in:
- design and implementation: specifying, designing and implementing computer-based systems
- evaluation: evaluating systems in terms of general quality attributes and possible trade-offs presented within the given problem
- information management: applying the principles of effective information management, information organisation, and information retrieval skills to information of various kinds
- tools: deploying 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
- applying some of the subject-specific skills specified for the programme from the perspective of a commercial or industrial organisation.
You gain transferable skills in:
- communication: making succinct presentations to a range of audiences about technical problems and their solutions
- information technology: effective information-retrieval skills (including the use of browsers, search engines and catalogues). Effective use of general IT facilities
- self-management: managing one’s own learning and development including time management and organisational skills.
Graduates who have both IT knowledge and business skills can expect excellent career prospects. Our graduates have gone on to work in:
- software engineering
- mobile applications development
- systems analysis
- web design and e-commerce
- finance and insurance
Recent graduates have gone on to develop successful careers at leading companies such as:
- BAE Systems
- The Walt Disney Company
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.
You can gain commercial experience working as a student consultant within the Kent IT Consultancy.
To help you appeal to employers, you learn key transferable skills that are essential for all graduates. These include the ability to:
- work independently or as part of a team
- analyse situations and troubleshoot problems
- communicate your ideas and opinions
- think critically.
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 full Chartered IT Professional (CITP) accreditation from the BCS, The Chartered Institute for IT.
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|
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)||
Distinction, Distinction, Merit
34 points overall or 16 points at HL including HL or SL Maths at 4 or SL Maths Studies at 5
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.
The 2019/20 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.*
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
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.
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 firstname.lastname@example.org.