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Artificial intelligence (AI) is playing an ever increasing role in helping individuals and organisations deal with new and exciting developments affecting today’s society.

Our BSc (Hons) Computer Science with Artificial Intelligence course will provide you with knowledge of computer science topics and specialist skills in artificial intelligence, opening the door to a range of careers.

From day one, you will be immersed in an exciting, innovative environment where you will develop your theoretical and technical knowledge and skills which will be directly relatable to your future career.

You will explore state of the art technologies, theories, concepts and research. You will gain specialist knowledge and experience in the development of intelligent systems. Topics will include, for example, computational intelligence, affective computing, intelligent robotics, machine learning techniques in computer vision, emotion recognition from facial expressions and body language, data and text mining, autonomous learning and medical imaging.

Northumbria is ranked 5th in the sector nationally and 1st in the North East for the sustained employment of Computer Science graduates one year after graduation. (Longitudinal Education Outcomes (LEO) 2017)

Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.

Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for Incorporated Engineer and partially meeting the academic requirement for a Chartered Engineer.

Artificial intelligence (AI) is playing an ever increasing role in helping individuals and organisations deal with new and exciting developments affecting today’s society.

Our BSc (Hons) Computer Science with Artificial Intelligence course will provide you with knowledge of computer science topics and specialist skills in artificial intelligence, opening the door to a range of careers.

From day one, you will be immersed in an exciting, innovative environment where you will develop your theoretical and technical knowledge and skills which will be directly relatable to your future career.

You will explore state of the art technologies, theories, concepts and research. You will gain specialist knowledge and experience in the development of intelligent systems. Topics will include, for example, computational intelligence, affective computing, intelligent robotics, machine learning techniques in computer vision, emotion recognition from facial expressions and body language, data and text mining, autonomous learning and medical imaging.

Northumbria is ranked 5th in the sector nationally and 1st in the North East for the sustained employment of Computer Science graduates one year after graduation. (Longitudinal Education Outcomes (LEO) 2017)

Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.

Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for Incorporated Engineer and partially meeting the academic requirement for a Chartered Engineer.

Course Information

UCAS Code
G403

Level of Study
Undergraduate

Mode of Study
3 years full-time or 4 years with a placement (sandwich)/study abroad

Department
Computer and Information Sciences

Location
Pandon Building, Newcastle City Campus

City
Newcastle

Start
September 2019

Department / Computer and Information Sciences

Across all of our undergraduate programmes approximately 85% of students graduate with a First Class or Upper Second Class honours degree (Higher Education Statistics Agency (HESA) 2015/16).

Book an Open Day / Experience Computer Science with Artificial Intelligence BSc (Hons)

Visit an Open Day to get an insight into what it's like to study Computer Science with Artificial Intelligence. Speak to staff and students from the course and get a tour of the facilities.

From the start, this course will follow a broad computer science curriculum moving towards a wide range of AI development skills for the production of substantial intelligent systems. 

You will learn new technical skills, such as creating web, desktop and embedded systems and will develop various tools and techniques for modelling, analysing, mining, understanding and visualising data.

Your assessments are designed to help you develop the knowledge, understanding and skills required of a computer science graduate. You will be assessed through a variety of different methods including exams, reports, presentations, individual, group and project work.

Book an Open Day / Experience Computer Science with Artificial Intelligence BSc (Hons)

Visit an Open Day to get an insight into what it's like to study Computer Science with Artificial Intelligence. Speak to staff and students from the course and get a tour of the facilities.

You will be taught by a range of academic staff who bring a wealth of professional experience from the computer science industry. Coupled with wider technical knowledge, whereby the staff have published work in prestigious authored journals, you will be taught the essential skills you need to succeed in your future career.

In a dynamic learning environment with an expert team of staff, you will be taught theoretical and practical research skills such as information literacy, as well as problem solving skills around project management, self-directed learning and communication skills. You will develop an understanding of important research methods and approaches which could be directly relatable to the demands of future career.

Accredited by the BCS (The Chartered Institute for IT), this highly-regarded course ensures you experience teaching and learning environment which provides you with the support, direction and practical knowledge to help you get the most out of your time at Northumbria.

Book an Open Day / Experience Computer Science with Artificial Intelligence BSc (Hons)

Visit an Open Day to get an insight into what it's like to study Computer Science with Artificial Intelligence. Speak to staff and students from the course and get a tour of the facilities.

You will be provided with a wide range of learning opportunities in a challenging, stimulating and dynamic quality learning environment.

Computer Science with Artificial Intelligence students will have the opportunity to access state of the art facilities and equipment which will encourage your individual intellectual freedom and allow your creative vision to become a reality.

You will have access to dedicated computing areas which students can use during free periods and into the evenings and weekends>

When you want to get hands-on with technology and really understand how everything connects, our range of specialist facilities will support you.

Computer and Information Sciences Facilities

Find out more about the facilities and equipment you can access at the Department of Computer and Information Sciences.

Virtual Tour

Come and explore our outstanding facilities in this interactive virtual tour.

University Library

At the heart of each Northumbria campus, our libraries provide a range of study space and technology to suit every learning style.

Book an Open Day / Experience Computer Science with Artificial Intelligence BSc (Hons)

Visit an Open Day to get an insight into what it's like to study Computer Science with Artificial Intelligence. Speak to staff and students from the course and get a tour of the facilities.

We are living in a digital age where all of our lives are impacted by computer sciences and digital technologies, from cyber security and computational intelligence to games and visual effects. You will be immersed in a research-rich environment with new and exciting insights into the discipline by our rapidly expanding Computer Science research groups.

Our courses are at the forefront of current knowledge and practise and are shaped by world-leading internationally excellent research, with the Computer Vision and Artificial Intelligence research group contributing significantly to both the industry, and quality of teaching here at Northumbria.

You will be taught by staff with a strong academic background in areas such as Computational Linguistics, Web Programming and Informational Visualisation. With access to diverse research work carried out by our expert academic staff, we seek to promote innovative and excellent learning and teaching practice, which will improve your student experience here at Northumbria.

Book an Open Day / Experience Computer Science with Artificial Intelligence BSc (Hons)

Visit an Open Day to get an insight into what it's like to study Computer Science with Artificial Intelligence. Speak to staff and students from the course and get a tour of the facilities.

Here at Northumbria, we know how valuable work experience can be in terms of giving you a head start in your career so we enable you to gain real-world experience on a yearlong professional placement in your third year on this course.

Previous computer science students have had the opportunity to go on a placement in blue chip companies such as Hewett Packard and GlaxoSmithKline and at CERN in Geneva. CERN has doubled the number of students it will take on placement, reflecting the respect and value placed on this degree by prestigious industry professionals.

You will also have the opportunity to study abroad in your third year at a partner institution, enabling you to gain global perspective on your subject and boost your future career prospects.

Student Life

A great social scene can be found at the heart of our campuses, featuring award-winning bars and a huge range of clubs and societies to join you'll be sure to meet people who share your enthusiasms.

Book an Open Day / Experience Computer Science with Artificial Intelligence BSc (Hons)

Visit an Open Day to get an insight into what it's like to study Computer Science with Artificial Intelligence. Speak to staff and students from the course and get a tour of the facilities.

This course covers a broad range of computing specialisms and will open the door to a vast range of careers within this industry.

We place a real emphasis on developing the transferable skills that will open doors to a range of careers in computer science. These include communication, analytical and problem solving skills, technical skills and the ability to work independently and as part of a team.

Upon graduating from this course, you can anticipate working in a wide range of private and public sector organisations in a job role such as a data scientist, AI programmer, AI games developer, consultant, software engineer, database developer, web developer and roles in software testing, computer networks and IT management.  

Graduates from Computer Science have gone on to work for companies such as Accenture, Hewlett-Packard, Nissan and British Airways.

Book an Open Day / Experience Computer Science with Artificial Intelligence BSc (Hons)

Visit an Open Day to get an insight into what it's like to study Computer Science with Artificial Intelligence. Speak to staff and students from the course and get a tour of the facilities.

Course in brief

Your course in brief

Year 1

Year one You will be introduced to core computer programming concepts and languages and you will also focus on the analysis, design and building of software and begin to develop online systems.

Year 2

Year two You will complete a variety of programming tasks, projects and assignments relating to concepts such as operating systems, computer networks and control systems, software engineering, machine learning and computer vision and developing more advanced online systems.

Year 3

Year three You have the option to go out on industrial placement to put your skills into professional practice. You can also combine a placement with overseas study at another university or study abroad for a year.

Year 4

Year four This year includes a large-scale challenging project, where you will design, analyse, develop and evaluate a production relating to the programme. Alongside the final year project you will also be studying artificial intelligence and robotics.

Who would this Course suit?

Do you want to help make a difference? Are you interested in how computer science and technology can be used to tackle world issues from dealing with financial inequality to helping achieve medical breakthroughs? Then this is the course for you.

Entry Requirements 2019/20

Standard Entry

GCSE Requirements:

A good GCSE profile is expected including Maths and English Language at minimum grade C or equivalent.  If you have studied for a new GCSE for which you will be awarded a numerical grade then you will need to achieve a minimum grade 4.

UCAS Tariff Points:

120-128 UCAS Tariff points including one or more of the following:

GCE and VCE Advanced Level:

From at least 2 GCE/VCE A Levels 

Edexcel/BTEC National Extended Diploma:

Distinction, Distinction, Merit 

Scottish Highers:

BBBCC - BBBBC at Higher level, CCC - BCC at Advanced Higher 

Irish Highers:

BBBBB  - ABBBB

IB Diploma:

120-128 UCAS Tariff points including minimum score of 4 in at least three subjects at Higher level

Access to HE Diploma:

Award of full Access to HE Diploma including 18 credits at Distinction and 27 at Merit

Qualification combinations:

The University welcomes applications from students studying qualifications from different qualification types - for example A level and a BTEC qualification in combination, and if you are made an offer you will be asked to achieve UCAS Tariff points from all of the qualifications you are studying at level 3.  Should the course you wish to study have a subject specific requirement then you must also meet this requirement, usually from GCE A level.<

Plus one of the following:

  • International/English Language Requirements:

    Applicants from the EU:

    Applicants from the EU are welcome to apply and if the qualification you are studying is not listed here then please contact the Admissions Team for advice or see our EU Applicants pages here https://www.northumbria.ac.uk/international/european-union/eu-applications/

    International Qualifications:

    If you have studied a non UK qualification, you can see how your qualifications compare to the standard entry criteria, by selecting the country that you received the qualification in, from our country pages. Visit www.northumbria.ac.uk/yourcountry

    English Language Requirements:

    International applicants are required to have a minimum overall IELTS (Academic) score of 6.0 with 5.5 in each component (or approved equivalent*).

    *The university accepts a large number of UK and International Qualifications in place of IELTS. You can find details of acceptable tests and the required grades you will need in our English Language section. Visit www.northumbria.ac.uk/englishqualifications</

Fees and Funding 2019/20 Entry

UK/EU Fee in Year 1**: £9,250

International Fee in Year 1: £15,000

ADDITIONAL COSTS

There are no Additional Costs

FUNDING INFORMATION

Click here for UK and EU undergraduate funding and scholarships information.

Click here for International undergraduate funding and scholarships information.

Click here for UK/EU undergraduate tuition fee information**.

Click here for International undergraduate tuition fee information.

Click here for additional costs which may be involved while studying.

Click here for information on fee liability.

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Modules Overview

Modules

Module information is indicative and is reviewed annually therefore may be subject to change. Applicants will be informed if there are any changes.

KC4000 -

Relational Databases (Core, 20 Credits)

This module will introduce you to the theory and practice of relational databases. You will learn about the concept of the relational model and the creation and management of relational databases, including how to develop, query and maintain the relational model in a database management system (DBMS), e.g. Oracle, MySql, Access, in an industrial/business context. This will include the generation of queries to extract data from a database and the manipulation of data in order to convert data into information. The module will also address considerations such as user access, encryption, information security and use of profiles and roles within a DBMS

The syllabus of the module will include topics such as
• Database Fundamentals: nature, purpose, use and administration aspects
• The relational database model and design (including ERD’s and similar methodologies)
• Structured Query Language (SQL)
• Relational database management system considerations
• Information security

More information

KF4009 -

Web Technologies (Core, 20 Credits)

The aim of the module is to provide you with knowledge and skills in designing and implementing web applications, including appropriate technologies. You will develop web based applications in accordance to key web standards and user needs. The module will also emphasise the technical aspects of web development and will introduce web security issues. In particular, you will cover topics such as:

• Structured mark-up
• Cascading Style Sheets (CSS), including layout design using CSS
• Usability and accessibility, including user needs
• Information architecture
• Client-side processing
• Web serving
• Introduction to server-side programming
• Introduction to web related security issues

More information

KF4010 -

Computing Fundamentals (Core, 20 Credits)

This module aims to provide you with the theoretical and practical basis to understand the design and construction of Computer software and hardware. You will be introduced to the underlying theory of Computation and the major paradigms of Computation. This will include the concepts of software, systems and data modelling and in particular the major computational models and programming paradigms. To complement this theoretical underpinning you will also study the standard von Neumann computer architecture and von Neumann machine programming.

More information

KF4011 -

Systems Analysis (Core, 20 Credits)

The module aims to introduce you to systems analysis using an object oriented approach, including the key ideas and techniques for capturing, analysing and specifying the requirements of an information system. You will learn about approaches to information systems development, including the system development like cycle, the concepts of deliverables and models, alternative approaches (Structured and Rapid) and the techniques associated with requirements capture. This will include the requirements analysis and documentation techniques of the Unified Modelling Language (UML), such as:

• Use Case Modelling including diagrams and descriptions
• Activity Diagrams
• Class Diagrams
• Sequence Diagrams
• Modelling consistency issues

You will also learn about professional issues associated with information systems, including those involving stakeholders, adherence to standards, quality, documentation, and professional behaviour.

More information

KV4000 -

Programming 1 (Core, 20 Credits)

During this module you will learn how to create software using a programming language. You will learn to select and apply standard programming structures for appropriate situations. The module will cover the use of variables, conditions, loops, subprograms, abstraction mechanisms and structured data types.

You will practise solving problems by breaking them down into smaller tasks. As well as constructing software that works, you will also start to consider the quality of your code and produce software that is reliable and maintainable by working to professional standards. You will learn to test, debug and maintain software of an appropriate size and to manage your time in constructing well-structured software products. We will study one programming language in detail on this module.

More information

KV4001 -

Programming 2 (Core, 20 Credits)

During this module you will further develop your problem solving, programming and program design skills, introduced in the module KV4000, Programming. You will learn the principles, knowledge and skills to utilise the object-oriented programming paradigm; using an appropriate programming language to design and write object-oriented programs to process text files and build graphical user interfaces (GUIs).

More information

KV5001 -

Academic Language Skills for Computer and Information Sciences (Optional, 0 Credits)

Academic skills when studying away from your home country can differ due to cultural and language differences in teaching and assessment practices. This module is designed to support your transition in the use and practice of technical language and subject specific skills around assessments and teaching provision in your chosen subject. The overall aim of this module is to develop your abilities to read and study effectively for academic purposes; to develop your skills in analysing and using source material in seminars and academic writing and to develop your use and application of language and communications skills to a higher level.

The topics you will cover on the module include:

• Understanding assignment briefs and exam questions.
• Developing academic writing skills, including citation, paraphrasing, and summarising.
• Practising ‘critical reading’ and ‘critical writing’
• Planning and structuring academic assignments (e.g. essays, reports and presentations).
• Avoiding academic misconduct and gaining credit by using academic sources and referencing effectively.
• Listening skills for lectures.
• Speaking in seminar presentations.
• Presenting your ideas
• Giving discipline-related academic presentations, experiencing peer observation, and receiving formative feedback.
• Speed reading techniques.
• Developing self-reflection skills.

More information

KF5002 -

Web Programming (Core, 20 Credits)

The module aims to provide you with knowledge of the principles and practice of developing dynamic, interactive web sites and applications using both server-side and client-side technologies and of issues relating to their use. This will include the retrieval and processing of structured data and its integration to create standards compliant web interfaces. The storage and manipulation of structured data, especially in relational databases, within a web based system will also be covered. A consideration of relevant security issues and methods of working with the Document Object Model (DOM) to manipulate web application interfaces will also be provided. In particular, you will cover the following topics:

• Database applications on the web and their components: database integration and database driven web based systems, database connectivity, manipulating relational database data – record insertion, updating and deletion
• Introduction to other structured data sources, e.g. XML or JSON.
• Retrieving, processing and displaying data from structured data sources to create standards compliant, device agnostic, and accessible web interfaces.
• Client-side and server-side validation of user input and other security issues. Working with user sessions
• Working with the Document Object Model (DOM) to manipulate web application interfaces.
• Asynchronous Javascript and XML (AJAX): the XMLHTTPRequest object, communicating with a web server, parsing and displaying the returned structured data.

More information

KF5008 -

Program Design and Development (Core, 20 Credits)

You will extend your understanding of system development in this module. In particular, you will cover program design issues within the context of an industry-standard approach. You will learn how to implement designs, including the selection, implementation and processing of appropriate data structures, and how to evaluate design models and appreciate the place of these models within a software development approach.

You will develop your knowledge of design by gaining understanding of the principles and concepts upon which design depends. In addition, you will learn to apply an industry-standard approach for design and employ appropriate modelling tools. You will also develop an understanding of the issues involved with the implementation of such models, including the selection and implementation of data structures.

More information

KF5012 -

Software Engineering Practice (Core, 20 Credits)

In this module you will learn about the principles of software engineering and the management of software engineering projects. You will apply these in the context of a small development project and relate then to your other studies. In addition, you will see how the various skills in project management and software engineering combine to aid the delivery of a successful outcome in a commercial and economic context.

The module aims to help you understand the skills required in employment (and your continuing education) in your subject area and to apply them to complete a project, achieving a level of understanding of employer requirements.

More information

KF5042 -

Intelligent Systems (Core, 20 Credits)

The aim of the module is to provide you with a broad introduction to the core areas of artificial intelligence with a focus on applications, tools and technologies used in building intelligent systems. You will learn key theoretical concepts and research advances in intelligent systems as well as state-of-the-art techniques such as knowledge representation, machine learning, data and text mining, natural language processing and understanding, and biologically inspired computing. You will learn how intelligent systems allow computers to represent, process and learn from data. You will also explore current and future applications of AI and how various AI techniques have been used to solve practical problems. Additionally, you will learn how to appropriately select from a range of AI techniques and tools to solve practical problems in different application domains. Furthermore, you will learn how to conduct performance evaluation of intelligent systems.

In particular, you will cover topics such as:

• An introduction to AI techniques, tools and applications used in intelligent systems
• Machine learning
• Biologically inspired computing
• Search, heuristics and optimisation techniques
• Data and text mining
• Natural language processing and understanding
• Data visualisation
• Selected key application areas of intelligent systems such as:
- Computer vision and digital forensics
- Biometrics, face detection and recognition
- Affective computing
- Information retrieval
- Sentiment analysis
- Intelligent robotics
- AI in games / VR / movie making

More information

KV5001 -

Academic Language Skills for Computer and Information Sciences (Optional, 0 Credits)

Academic skills when studying away from your home country can differ due to cultural and language differences in teaching and assessment practices. This module is designed to support your transition in the use and practice of technical language and subject specific skills around assessments and teaching provision in your chosen subject. The overall aim of this module is to develop your abilities to read and study effectively for academic purposes; to develop your skills in analysing and using source material in seminars and academic writing and to develop your use and application of language and communications skills to a higher level.

The topics you will cover on the module include:

• Understanding assignment briefs and exam questions.
• Developing academic writing skills, including citation, paraphrasing, and summarising.
• Practising ‘critical reading’ and ‘critical writing’
• Planning and structuring academic assignments (e.g. essays, reports and presentations).
• Avoiding academic misconduct and gaining credit by using academic sources and referencing effectively.
• Listening skills for lectures.
• Speaking in seminar presentations.
• Presenting your ideas
• Giving discipline-related academic presentations, experiencing peer observation, and receiving formative feedback.
• Speed reading techniques.
• Developing self-reflection skills.

More information

KV5002 -

Computer Networks, Security and Operating Systems (Core, 20 Credits)

This module introduces you to the fundamentals of computer networks, security and operating systems, including: network architecture and the five-layer Internet protocol stack, processes/threads, inter-process communication, memory management, file systems, and operating systems and network security. You will study:
* network architecture: the five-layer Internet protocol stack (application, transport, network, datalink, and physical layers), switching techniques (e.g. circuit and packet), protocols (e.g. TCP, UDP, IP);
* processes and threads: concepts, use and implementation, creation and destruction, context switching, scheduling, synchronisation;
* inter-process communication: shared memory, message passing, pipes, sockets;
* memory management: memory allocation schemes, paging, virtual memory;
* file systems: file concept, file system structure and implementation, directories, free space allocation;
* operating system and network security: confidentiality, integrity, availability, threats and attacks (e.g. denial of service, spoofing, man-in-the-middle), access control, user authentication, cryptography for data and network security, secure network protocols (e.g. TLS/SSL).

More information

KV5003 -

Human Computer Interaction (Core, 20 Credits)

This module will introduce you to Human-Computer Interaction (HCI), a field of study focusing on the design of computer technology and, in particular, the interaction between humans (the users) and computers. It brings together multiple disciplines, such as computer science, the social sciences, design and human-factors engineering.

Specific topics we will cover:

User-centred design lifecycle
Understanding human capabilities (visual and auditory perception, ergonomics, cognitive models); Social models that inform interaction design, e.g., culture, communication, networks and organizations; Accessibility
Understanding context: Requirements capture methods
Understanding design: Usability heuristics and evaluation; User interface standards
Interface paradigms and metaphors; Principles of good interface design
Prototyping techniques for interface design
Evaluation methods: expert appraisal and user-led
Human Factors and Security in interface design

More information

KA5029 -

International Academic Exchange 1 (Optional, 60 Credits)

This module is designed for all standard full-time undergraduate programmes within the Faculty of Engineering and Environment and provides you with the option to study abroad for one semester as part of your programme.

This is a 60 credit module which is available between Levels 5 and 6. You will undertake a semester of study abroad at an approved partner University where you will have access to modules from your discipline, but taught in a different learning culture. This gives you the opportunity to broaden your overall experience of learning. The structure of study will be dependent on the partner and will be recorded for an individual student on the learning agreement signed by the host University, the student, and the home University (Northumbria).

Your study abroad semester will be assessed on a pass/fail basis. It will not count towards your final degree classification but, if you pass, it is recognised in your transcript as an additional 60 credits for Engineering and Environment Study Abroad Semester.

More information

KA5030 -

International Academic Exchange 2 (Optional, 120 Credits)

This module is designed for all standard full-time undergraduate programmes within the Faculty of Engineering and Environment and provides you with the option to study abroad for one full year as part of your programme.

This is a 120 credit module which is available between Levels 5 and 6. You will undertake a year of study abroad at an approved partner University where you will have access to modules from your discipline, but taught in a different learning culture. This gives you the opportunity to broaden your overall experience of learning. The structure of study will be dependent on the partner and will be recorded for an individual student on the learning agreement signed by the host University, the student, and the home University (Northumbria).

Your study abroad year will be assessed on a pass/fail basis. It will not count towards your final degree classification but, it is recognised in your transcript as a 120 credit Study Abroad module and on your degree certificate in the format – “Degree title (with Study Abroad Year)”.

More information

KF5000 -

Engineering and Environment Work Placement Year (Optional, 120 Credits)

This module is designed for all standard full-time undergraduate programmes within the Faculty of Engineering and Environment to provide you with the option to take a one year work placement as part of your programme.

You will be able to use the placement experience to develop and enhance appropriate areas of your knowledge and understanding, your intellectual and professional skills, and your personal value attributes, relevant to your programme of study, as well as accreditation bodies such as BCS, IET, IMechE, RICS, CIOB and CIBSE within the appropriate working environments. Due to its overall positive impact on employability, degree classification and graduate starting salaries, the University strongly encourages you to pursue a work placement as part of your degree programme.

This module is a Pass/Fail module so does not contribute to the classification of your degree. When taken and passed, however, the Placement Year is recognised both in your transcript as a 120 credit Work Placement Module and on your degree certificate.

Your placement period will normally be full-time and must total a minimum of 40 weeks.

More information

KF5001 -

Engineering and Environment Work Placement Semester (Optional, 60 Credits)

This module is designed for all standard full-time undergraduate programmes within the Faculty of Engineering and Environment to provide you with the option to take a one semester work placement as part of your programme.

You will be able to use the placement experience to develop and enhance appropriate areas of your knowledge and understanding, your intellectual and professional skills, and your personal value attributes, relevant to your programme of study, within the appropriate working environments. Due to its overall positive impact on employability, degree classification and graduate starting salaries, the University strongly encourages you to pursue a work placement as part of your degree programme.

This module is a Pass/Fail module so does not contribute to the classification of your degree. When taken and passed, however, the placement is recognised both in your transcript as a 60 credit Work Placement Module and on your degree certificate.

Your placement period will normally be full-time and must total a minimum of 20 weeks.

More information

KV5001 -

Academic Language Skills for Computer and Information Sciences (Optional, 0 Credits)

Academic skills when studying away from your home country can differ due to cultural and language differences in teaching and assessment practices. This module is designed to support your transition in the use and practice of technical language and subject specific skills around assessments and teaching provision in your chosen subject. The overall aim of this module is to develop your abilities to read and study effectively for academic purposes; to develop your skills in analysing and using source material in seminars and academic writing and to develop your use and application of language and communications skills to a higher level.

The topics you will cover on the module include:

• Understanding assignment briefs and exam questions.
• Developing academic writing skills, including citation, paraphrasing, and summarising.
• Practising ‘critical reading’ and ‘critical writing’
• Planning and structuring academic assignments (e.g. essays, reports and presentations).
• Avoiding academic misconduct and gaining credit by using academic sources and referencing effectively.
• Listening skills for lectures.
• Speaking in seminar presentations.
• Presenting your ideas
• Giving discipline-related academic presentations, experiencing peer observation, and receiving formative feedback.
• Speed reading techniques.
• Developing self-reflection skills.

More information

KC6004 -

Data Security and Governance (Optional, 20 Credits)

This module is set in the context of today’s society and the organisations within. Social behaviour, often in the virtual environment, creates a range of ethical issues centering on information security and governance. In addition to exploring these social and ethical issues, legal and regulatory frameworks that have been developed in recent years to try to address these issues are examined. You will also learn about cybersecurity in organisations and will be introduced to a range of common threats and countermeasures. Topics include basic definitions of terminology alongside practical and theoretical frameworks to help you identify key governance and security issues, and explore potential preventative measures. You will be covering terms such as ‘governance’ and ‘cybersecurity’, frameworks which include the information life cycle, regulations and guidelines relating to professional conduct, privacy and data protection, surveillance, freedom of expression, and freedom of information and intellectual property. Cybersecurity topics will include user authentication, cloud storage, organisational security cultures, access control and encryption, social engineering, user privacy, organisational cyber-attack risk evaluation and breach reporting. Key topics are:

Organisational information and knowledge assets and Information Life Cycle
Corporate and information governance and professional conduct
Privacy, freedom of expression and surveillance
Data protection and freedom of information
Impact of globalisation on governance and security
Intellectual property
Cybersecurity and organisational security culture
Social Engineering
Attack and defence including user authentication, access control and encryption
Privacy and security in the cloud
Future of privacy and security
Cybersecurity risk evaluation and breach reporting

More information

KC6005 -

Smart Technologies and Agile UX design (Optional, 20 Credits)

This module aims to get students to think about the bigger picture when developing application tests for Smart and Wearable computing devices. These could be changeable depending on the user environment which impact on technological configuration and device interaction. This module informs practice by investigating models of User Behaviour and HCI to design and test core functionality within a range of contexts. These approaches help to galvanise the module aim which will improve planning and strategy when developing test designs and implementing recommendations.

This module is concerned primarily with understanding the user and their experience with interactive products; thus it will involve practical sessions along with theoretical debate surrounding user experience and how we design systems that meet their needs. In particular, you will cover topics such as:

• Cultural shift to mobile and smart devices
• Application of techniques for analysing user behaviour in specific contexts
• Review of methodologies
• Approaches to prototyping interactive design
• Running a mobile usability study testing experimental designs
• Analysis of user experience
• Evaluation and implementation of designs

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KC6006 -

Web Analytics (Optional, 20 Credits)

This module aims to further develop your ability to examine the concept of big data and how they have changed the analytics landscape. It will also enable you to appraise big data use across a wide range of applications and use analytical tools e.g., sentiment analysis, eye-tracking Google analytics to analyse social media usage. You will critically evaluate online analytics and their use as a tool for investigating social media. The module will enable you to plan and implement a complex analytics process in order to use appropriate online analytics to evaluate the impact of these on organisations’ decision making processes and customer relationship management.

You will learn how organisations can use data analysis, sentiment analysis, eye-tracking and webometrics techniques to exploit social media to enhance decision making and customer relationship management (CRM). In particular you will learn topics such as:
• Big data – what are they?
• Advanced webometrics and analytics, principles and practice, tools and techniques including identifying a range of appropriate statistical tools and applying them to data
• Critical evaluation of advanced tools and techniques e.g. cost and benefits
• Comparative case studies
• Sentiment analysis
• Eye tracking in social media analysis

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KF6007 -

Artificial Intelligence and Robotics (Core, 20 Credits)

This module provides you with the opportunity to explore state-of-the-art technologies and research work in the areas of artificial intelligence (AI) theories and concepts and robotics. You will learn about machine learning approaches such as supervised, evolutionary and unsupervised learning techniques in the affective computing, intelligent robotics and computer vision fields. The module will also introduce applications including affect sensing from speech, facial expressions and body language, scene/human behaviour interpretation, robot vision and scene understanding, and robot human interaction applications. In addition you will also cover techniques on evolutionary algorithms, swarm intelligence for team AI, adaptive learning and bioinformatics. The topics introduced in the module closely relate to games, robotics, immersive environments and healthcare applications.

In particular, the module will cover the following topics:

1. Supervised, unsupervised, semi-supervised and deep learning techniques (e.g. various machine learning techniques related to big data analytics)
2. Evolutionary and optimization algorithms (e.g. genetic algorithm, particle swarm optimization, artificial bee colony optimization etc.)
3. Computer vision applications (e.g. object/face recognition, human behaviour recognition, medical imaging, bioinformatics etc.)
4. Affective computing applications (e.g. facial emotion and bodily expression recognition, emotion detection from speech etc.)
5. Intelligent robotics applications (e.g. affective service robots with affective behaviour generation, robot scene understanding, robot vision and robot human interaction etc.)

Due to the research-based nature of the module, you will employ key research skills (e.g. using literature, using citation, critical analysis, evaluation etc.) throughout the module.

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KF6009 -

Model Based Design and Verification (Optional, 20 Credits)

On this module you will learn the theory and practice of modelling, specification and analysis for the development of computer software. You will be introduced to a variety of formal methods, such as state transition systems, timed and probabilistic automata, and temporal logic You are encouraged to construct, analyse and refine your own system models. In addition, you will gain experience with state-of-the-art software engineering tools for design and analysis.

In particular the module will cover topics such as:
• Modelling - variety of formal methods, e.g.:, , state transition systems, timed and probabilistic automata; use of abstraction; modelling of functional, temporal and security aspects of system behaviour
• Specification – propositional, predicate and temporal logic; safety and liveness properties: deadlock freedom, fairness, bounded response, security
• Analysis - principles of model-checking, simulation, and static analysis for reasoning about system behaviour
• Tools - use of tools, e.g.: Uppaal, Spin, PRISM and evaluation of their outputs.

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KF6012 -

Web Application Integration (Optional, 20 Credits)

You will learn how to write robust, secure server-side applications using reusable components written in Object Oriented PHP to access, process and output structured data from databases, and services returning data as xml and json. You will then learn how to author client-side Single Page Applications (SPA) using the MV* pattern which will use the structured data returned from your server-side application. The SPA will use an appropriate development framework, like Google AngularJS framework

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KF6015 -

Games Design (Optional, 20 Credits)

In this module you will learn about the design of computer games, the needs of and the issues facing the games industry and their impact upon games design. You will analyse a games problem and create a designs for their solution using industry standard methods. In particular you will learn about:
• Principles of good game design
• The elements of game design
• How games are made in the industry and the makeup of the industry
• Professional, legal, social and ethical issues faced by the industry in general, and how they affect the game designer.

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KF6018 -

Computer Graphics and Animation (Optional, 20 Credits)

This module will provide you with knowledge and understanding of the theoretical background to and the practical implementation of computer graphics and computer animation, which are two major components in the movie and game industries. They are also used in other industries for design and advertisement, such as furniture and car companies. On this module you will have the opportunity to experience hardware equipment used in the industries, such as a 3D motion capture system, 3D scanners and 3D printers, to help you better understand state-of-the-art computer graphics and animation pipelines.

You will learn about 3D modelling and rendering, perception principles, visualisation techniques, animation algorithms and simulations and how to implement software algorithms for 3D modelling, rendering, visualization and simulations - which you will use to develop your own software artefact. This module will cover the following topics:

1. Basic 3D geometry concepts, such as coordinates, transformations, view projections, etc.
2. 3D rendering components, such as modelling, illumination, shadowing, texture mapping, antialiasing and rasterization, etc.
3. Basic perception principles, such as gestalt principles, change blindness, colour theory, etc.
4. Visualization techniques, such as multivariate visualization methods, trees, networks, flow and volume visualization, etc.
5. Character animation algorithms, such as motion capture, keyframe animation, forward/inverse kinematics, dynamics controller, etc.
6. Crowd simulation algorithms, such as flocking, data-driven simulation, etc.
7. Physical simulations algorithms, such as fluid animation, hair simulation, cloth simulation, deformable objects, etc.

The module will, where appropriate, make use of well-known research papers and journals in computer graphics and animation, to help you develop your critical thinking skills, as well as your research and development skills.

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KF6052 -

Machine Learning and Computer Vision (Core, 20 Credits)

The aim of the module is to provide you with knowledge and understanding of machine learning techniques and computer vision systems, including how to solve problems in these areas. In particular, you will cover topics such as:

• Machine learning
• Supervised machine learning techniques and classifiers
• Unsupervised machine learning techniques
• Computer vision and digital image fundamentals
• Legal, ethical and social issues in computer vision, and techniques for security.
• Application of machine learning techniques in computer vision (biometric systems, face, iris, fingerprint, etc.)

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KV5001 -

Academic Language Skills for Computer and Information Sciences (Optional, 0 Credits)

Academic skills when studying away from your home country can differ due to cultural and language differences in teaching and assessment practices. This module is designed to support your transition in the use and practice of technical language and subject specific skills around assessments and teaching provision in your chosen subject. The overall aim of this module is to develop your abilities to read and study effectively for academic purposes; to develop your skills in analysing and using source material in seminars and academic writing and to develop your use and application of language and communications skills to a higher level.

The topics you will cover on the module include:

• Understanding assignment briefs and exam questions.
• Developing academic writing skills, including citation, paraphrasing, and summarising.
• Practising ‘critical reading’ and ‘critical writing’
• Planning and structuring academic assignments (e.g. essays, reports and presentations).
• Avoiding academic misconduct and gaining credit by using academic sources and referencing effectively.
• Listening skills for lectures.
• Speaking in seminar presentations.
• Presenting your ideas
• Giving discipline-related academic presentations, experiencing peer observation, and receiving formative feedback.
• Speed reading techniques.
• Developing self-reflection skills.

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KV6002 -

Team Project and Professionalism (Core, 20 Credits)

This module functions as a “cap-stone” to your Batchelor studies. The module gives you the opportunity to work in a team to build a significant computing product directly related to your programme of study. This develops and demonstrates your skills in leadership, team work, project management, planning, communication (both written and oral) as well as technical skills in the technology you choose to implement in. This module aims to give you further experience of team working in the specialism you have selected which is an invaluable asset and highly prized by employers. The project and its potential future commercial exploitation provide a context for you to critically evaluate your and your team’s performance, the fitness for purpose of the product you have developed and the legal, ethical, professional and social content of your chosen specialism. Appropriate Information Security factors will be considered as part of this evaluation. As part of this learning journey you will also explore the associated commercial and economic factors.

You will have the opportunity to apply a wide range of development skills (in specification, design and implementation) to your product development. All products will consider all aspects of the development life cycle. Some projects may be driven by research activity in the department’s research groups, some by the expectations of a “client” and some by students’ own interests. A “client” is a non-fictitious potential benefactor of the project for example a student’s employer, former placement provider, local charity etc. who are willing to formally consent to be involved in the project.

Wider Legal, Ethical, Social and Professional implications will be examined to enable you to appreciate the responsibilities involved in the development and use of computer products both in work and throughout society.

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KV6003 -

Individual Computing Project (Core, 40 Credits)

This module is an individual project where you have the opportunity to choose or define your own topic which will lead to you producing a significant piece of work related to the aims of your programme. To do this you will need to use and further develop skills that you have learned elsewhere in your course. You will become knowledgeable in your chosen topic including important concepts and literature and you will acquire new skills or learning (or extend existing skills or learning) that are needed to carry out the project. These could be technical skills such as a new programming language, or other knowledge and skills such as experimental methods used in your chosen area or the use of statistical techniques to analyse your results. You will also acquire or further develop skills in areas such as report writing, literature searching, research methods, data analysis, project management and personal time management.

You have the opportunity to choose between three structures for your project, including
• Software Engineering - suitable for projects whose emphasis is the construction of a piece of software (a product) for actual use or to a similar standard, following sound and thorough software engineering processes; you will be required to justify the product requirements and the tools and techniques used in support of the development.
• General - suitable for projects where an element of investigation is an important feature, and will include a significant literature review. The product may be a prototype aimed at supporting the investigation. It is also suitable for research-based projects or others whose main product is a computing deliverable other than software, e.g. a well-engineered design whose specification involves a significant element of supporting investigation of relevant literature, or a piece of computing hardware
• Investigative - for projects that carry out a significant piece of research or investigation. These projects must make use of practical computing skills related to your programme, but do not produce a substantial product.

Your project must include you undertaking practical work of some sort using computing/IT technology. This is most frequently achieved by the creation of an artefact as the focus for covering all or part of an implementation life-cycle. Projects based solely on literature review activity and/or user/market surveys are not acceptable.

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ML6001 -

Unilang - Languages for All - Level 6 Placeholder (Optional, 20 Credits)

The 20-credit yearlong Unilang modules (stages 1 – 5 depending on language) aim to encourage a positive attitude to language learning and to develop and practise the four language skills of speaking, listening, reading and writing introducing the basic/increasingly complex grammatical structures and vocabulary of the spoken and written language (depending on stage) and developing your ability to respond appropriately in spoken and written form in simple and increasingly complex everyday situations.

These modules also introduce you to the country and the culture of the country. In doing this, Unilang modules are intended to encourage and support international mobility; to enhance employability at home and abroad; to improve communication skills in the foreign language and in English as well as cultural awareness.

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TE6667 -

Student Tutoring Level 6 (Optional, 20 Credits)

You will learn how to be a tutor of students in schools or colleges. You will develop your skills in communicating effectively with children or young people. You will also develop your ability to self-manage, communicate, work in teams, and personal enterprise. As part of this process you will learn how to evaluate your own learning of how to support these pupils’ learning over a series of lessons. You will be learning how to transmit your own enthusiasm for learning in a professional context to pupils within the schooling system. You will learn about the issues facing teachers and other professionals within the school or college. Learning how to apply your existing skills and knowledge in a work related context will be an important focus of this module for you. Knowing how to determine which skills and knowledge are relevant, and make appropriate use of these in the work context, will be a major learning opportunity for you. At this level 6 you will learn how to critically evaluate your own learning.

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