Undergraduate study
Computer Science

This course is in Clearing Clearing 2017

BSc (Hons) Computer Science

UCAS code: G400 BSc/CpS

UCAS code: G404 BSc/CpSFY for Year 0 entryThis is one of the UK’s most recognised courses within the field and it is well respected by the industry. The breadth of subjects covered means that the course is relevant to a range of computing careers - from programming, mobile development and network management to systems security and artificial intelligence systems. This course gives you the chance to be taught by experienced developers and internationally recognised researchers.

Course information

Full-time

  • Length: 3, 4 or 5 years dependent on whether you undertake the foundation year, placement year or both.

More full-time details

Entry to 2017/18 academic year

Part-time

  • Not available part-time

Contact details

Further information

£500

£500 available to kick-start your degree – for travel, accommodation or other living expenses

Eligibility criteria apply

£270m

Over £270m invested in our town-centre campus for your improved student and learning experience

More about the campus

88%

88% of students would recommend Teesside University to others
(National Student Survey 2016)

Why choose Teesside
  • Facilities

    Computing and Web

    Teesside has fantastic state-of-the-art facilities for web and computing students including a wide range of web, multimedia, network and programming studios. This environment prepares students for work in industry by promoting team work and the use of case studies, problem solving and methods such as peer programming.

  • Student profile
  • News

    Teesside University lecturer awarded special grant for research
    Senior lecturer in interactive systems, Dr Peter Gregory has been awarded a prestigious research grant to carry out work in the area of numeric domain model acquisition.

    Read the full story

  • On video

    Mohamed Roshan BSc Computer Science

    Hear BSc Computer Science student Mohamed Roshan talk about his experience at Teesside and how his course has given him the opportunity to work in many different fields and industries. He also talks about his final year project that enables a computer mouse to be controlled via head movements and eye blinks, and how exhibiting his project at ExpoTees helped him get a job offer before he had even graduated.

 

Note: this course is for Year 0 and Year 1 entry only in 2017. We currently operate a different structure for entry to Year 2 and final year. Please contact scm-enquiries@tees.ac.uk for more information.

This degree gives you the opportunity to choose your speciality through themes, which are based on traditional areas of computer science. You also take part in a business project - an opportunity to undertake industry-relevant development work. There are a number of subject areas to select from including:

  • programming
  • networks and computer security
  • systems design and databases
  • artificial intelligence
  • embedded systems
  • software architecture.

Professional accreditation

bcs Educational Affiliate This course has been accredited by the British Computer Society.

Course structure

Year 0 (foundation year) core modules

Agile Development Project

This module gives you the opportunity to undertake a programming project. Working in small teams, you design, develop and demonstrate a software solution that relates to an agreed requirements specification.

Computational Thinking

Algorithms are considered to be at the heart of computing and are critical to developing computer-driven applications. Designing algorithms requires you to think like a machine, using computational thinking to construct procedures to implement as computer programmes.

This module introduces you to the fundamental building blocks of algorithms through classic puzzles and recreational games. You develop your knowledge of design principles and your proficiency in creating algorithmic procedures by cultivating your ability to think computationally in solving puzzles and creating routines for playing simple, computer-enabled games.

Information Systems Development

This module introduces you to the analysis, design and development of simple information systems. You learn the tools, techniques and methods associated with information systems development, such as gathering requirements, modelling requirements, designing data models and implementing a solution.

Introduction to Mathematics

This module introduces the relevant mathematical notations and techniques if you are preparing to study a technical computing degree at undergraduate level. The emphasis is on developing the skills that enable you to understand technical specifications of computing devices.

Topics include the number systems prevalent in computing, algebraic manipulation and equation solving, and the concept of functions – both algebraic and graphical formulations.

The module is delivered through lecture and tutorial sessions. Worked examples illustrate how each mathematical technique is applied. Problem-solving tutorial exercises give you the opportunity to practise each skill or technique.

Introduction to Programming

This module is ideal if you have little or no experience of programming – it uses tools that are easily available, easy to use and familiar to anyone who has used a computer.

You learn how programming language constructs are applied to different problems of increasing complexity. All programming solutions are executed in a web browser although the module is not specifically targeting web development.

 

Year 1 core modules

Algorithms and Data Structures

You develop intricate programmes to solve complex problems, using data structures and appropriate algorithms. You study a variety of algorithmic techniques and the use and importance of data structures. You are introduced to classifying data according to its abstract behaviour, as distinct from its representation.

A range of well-established data structures are examined and their properties are described. You gain an understanding of the basic skills needed in algorithmic design and the interaction between algorithm and data structure in creating efficient code.

Internet Architecture and Security

You study a range of issues in computer security and information security, including access control, technologies used to implement security measures, models of security and cryptography, management of security issues, and the design of systems. How security systems fail is covered, along with related areas such as the legal and ethical background and physical security.

Java Applications Development

You study the syntax of Java programming language and the Java API, as well as object-oriented concepts including inheritance, abstraction and polymorphism. The emphasis is on problem solving, design and documentation adopted in Java Programming.

You gain an understanding of professional practice, codes of conduct and copyright/licencing.

Java Programming

You are introduced to the fundamental concepts of software development through Java programming language. You study key aspects of the software development process, including designing solutions, writing application code, developing documentation, and formal approaches to testing.

Mathematics and Problem Solving

You are introduced to the mathematics supporting computer science, including number bases, statistical methods, matrix algebra, and discrete mathematics.

You study topics in discrete mathematics which form the basis of the notation used in software specification. Statistical methods, including probability, are covered at an introductory level, preparing you for growing areas of computer science applications such as big data.

You are introduced to problem-solving using recreational problems, including games and puzzles, to convey algorithmic concepts.

Systems Design and Databases

Successful, robust and user-friendly systems or applications begin with a requirements analysis and detailed design. You are introduced to the concepts and techniques of systems analysis and design, enabling you to break down and simplify complex systems and represent them visually using industry-standard approaches such as Unified Modelling Language (UML). In industry, the resulting models are used to communicate designs to developers and stakeholders prior to implementation.

You learn to design and implement fully normalised relational databases as part of an information system. Using data modelling techniques you define how the system stores data and interacts with it. You implement your design using Structured Query Language (SQL): Data Definition Language for creating tables, and Data Manipulation Language for accessing the data.

You develop professional practice and transferrable skills essential for industry, including project management."

 

Year 2 core modules

Advanced Java Programming

A number of advanced topics in software construction will be explored. You will study object oriented design and examine a number of design principles that lead to better quality code, and a set of design patterns that solve commonly occurring software problems. In the second half of the module, you will be introduced to concurrency, middleware and software architecture. This is a very practical module that will encourage you to adopt agile software development methods.

Agile Developer

You will plan, design and build a mobile app for a smartphone or tablet device within a small software development team. The module explores the frameworks, libraries, patterns and industry-standard development tools used to build today’s mobile apps. It requires a professional approach, informed by current industry practice, to plan a successful software development project.

Assessment is via an in-course assignment requiring the team-based planning, design, development and presentation of a mobile app, followed by individual reflection upon personal actions, contribution and growth.

Relational and NoSQL Databases

You will develop your ability to design and implement database applications to meet business needs. A case study is used to follow the system development life cycle, and you will develop a server database application from inception to implementation for a real world scenario.

The module will investigate the issues and technologies associated with implementing and supporting databases and the services that are needed to maintain and access a repository of data. Investigations will be undertaken in a number of areas including data modelling, data management and approaches that support the modelling and visualisation of data for a range of use views.

Symbolic Computation

The practicalities of building AI systems to solve problems, specify inference mechanisms and drive behaviours form this module. It builds on earlier study of programming and algorithms to introduce the functional programming and symbolic computation paradigms, bridging the gap between theoretical understanding and implementation.

The module primarily uses the Clojure dialect of Lisp (taking an approach that explores the semantics of the language rather than concentrating on its syntax) but may also make some use of a graphics and simulation environment (NetLogo) and in-house software.

Web Apps and Services

You will design and construct web applications and web services, and understand the role that they play in the architecture of enterprise-style software systems. Web applications serve dynamic content or fully asynchronous single-page applications, bringing the web alive in comparison to traditional static sites. Web services use industry-standardised interfaces to make their capabilities reusable by third-parties, especially apps running on mobile devices. Together, these technologies are the cornerstone of the modern web.

This module explores the underlying technologies of how the web works, and investigates how to use professional tools to construct web apps and web services. You study the principles, patterns, libraries, frameworks and techniques used to engineer good-quality software components ready to participate in enterprise-style software system architectures. The module builds upon and extends previous programming experience and knowledge, and understanding of data modelling and persistence.

 

Final-year core modules

Artificial Intelligence

Artificial Intelligence (AI) is the science and engineering of intelligent machines. It is a cross disciplinary subject where you consider cognitive psychology, linguistics and philosophy with an emphasis on computer science. You explore the computing focus of AI with an emphasis on building “intelligent agents” – independent entities that perceive their environment and take actions to maximise the chances of achieving their goals.
You examine the tools and techniques to engineer intelligent systems and present an in-depth study of key research and application areas of intelligent systems.

Cloud System DevOps

You explore how cloud computing enables companies to avoid the infrastructure and maintenance costs associated with buying and running their own dedicated hardware and software platforms. Software’s move to the cloud, and the need to utilise third-party infrastructure and platforms, creates new challenges and new opportunities for software developers. You explore the extent of cloud computing, cloud-capable software architectures, and study the professional DevOps practices used to develop and deploy complete software systems.

Computing Project

You complete a large scale piece of work, under the supervision of an academic staff member. You produce a substantial artefact relating to the computing field, and complete your report and viva consisting of a presentation, demonstration and discussion of the artefact.

You are guided to develop an appropriate sense of work-discipline coupled with a professional outlook. You take responsibility for the planning and execution of an extended piece of work including the consideration of associated legal, social, ethical and professional issues. You are able to explore in depth a chosen subject area, and thereby demonstrate your ability to analyse, synthesise, and creatively apply what has already been studied on the programme while demonstrating critical and evaluative skills and professional awareness.


Internet of Things

The Internet of Things (IoT) incorporates a number of technologies, including wireless sensor networks, embedded systems, pervasive computing, machine learning, context awareness and distributed systems. IoT has been successfully applied to environmental monitoring, smart homes, industrial controls and digital cities.
You cover a mixture of theoretical and practical topics such as coverage of the range of IoT-enabled devices, low power communications, and processing data gained from the IoT. You also gain experience of practical skills required for the programming of IoT devices.

Software Reliability

Society is increasingly dependent on complex software systems that pose difficult challenges in terms of reliability and security. Building software systems that are safe and reliable is a difficult and expensive task. You examine the methods and tools used to build reliable software systems and an in-depth study of key research in the area of formal methods for software engineering.

 

Modules offered may vary.

How you learn

You attend a combination of lectures and practical sessions for each module. Lectures concentrate on teaching the principles while practical sessions allow you to put these principles into practice in purpose built labs. Throughout your practical sessions you receive feedback on your work and progress. You often work on a piece of work for several weeks building a deeper understanding of the subject as you work. The feedback you receive will help you to get the most out of your learning.

In your final year you also undertake a personal project which integrates much of the work you have studied in previous years.

How you are assessed

A variety of assessment methods are used. Your assessments are designed to build on the work you undertake in class, because your learning continues through the assessment period. An in-course assessment often consists of a practical exercise and an associated report helping you to develop both technical and business skills.


Our Disability Services team helps students with additional needs resulting from disabilities such as sensory impairment or learning difficulties such as dyslexia
Find out more about our disability services

Find out more about financial support
Find out more about our course related costs

Professional placement

During your degree we advertise a variety of paid placement opportunities (subject to availability). You can apply for a year-long supervised work placement between your second and final year. A placement gives you a valuable opportunity to improve your employment prospects by developing new skills and deepening your understanding of your subject.

Student selection is carried out by the employers through competitive interviews and often skills tests. Placements are not compulsory but are assessed and contribute to your final degree award.

Our placements team gives you help and support throughout the placement process, including guidance on applications and interviews, to help you get a placement that suits you.

Our students have been placed in organisations such as Dupont, Accenture, General Electric, Nissan, HMRC, Nicander, Red Embedded, Microsoft, IBM, Intel, Thomson Reuters, Glaxo Smith Kline, GCHQ.

Career opportunities

The range of practical, business and personal skills you develop through this course prepares you for specialist roles in the computing industry, nationally and globally. Exciting projects and work placements give you the edge, keeping you up to date with the latest technical developments and techniques.

Entry requirements

Call us on 0800 952 0226 about our entry requirements

For additional information please see the entry requirements in our admissions section

International applicants can find out what qualifications they need by visiting Your Country


You can gain considerable knowledge from work, volunteering and life. Under recognition of prior learning (RPL) you may be awarded credit for this which can be credited towards the course you want to study.
Find out more about RPL

What is KIS?

How to understand the Key Information Set

Course information

Full-time

  • Length: 3, 4 or 5 years dependent on whether you undertake the foundation year, placement year or both.

More full-time details

Entry to 2017/18 academic year

Part-time

  • Not available part-time

Contact details

Further information