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Undergraduate study
 

Course overview

This integrated master’s programme covers all the essential material required by a computer science graduate. It is a four-year course with an optional placement year in industry between Years 2 and 3 – it combines study at bachelor’s level (BSc) with study at master’s level (MComp). This course includes an optional work placement year, at no extra cost.

You study a curriculum designed in conjunction with industry that will equip you with skills that are in great demand. You gain a sound, in-depth grasp of core areas in computer science and undertake a major independent project. The fourth year allows you to build on the main themes studied in the BSc (Hons) Computer Science. You can specialise in cutting-edge areas that include Artificial Intelligence and Complex Systems, Advanced Cloud-based Services and Big Data.This course prepares you for a wide range of careers in varied industries including software development, financial services, management and games companies. Recent graduates have found employment with top firms including IBM, Amazon, Schlumberger, Ordnance Survey, Codemasters and Npower. Our School of Computing, Engineering & Digital Technologies has well-equipped state-of-the-art computing laboratories and facilities, including specialised equipment that you can use to undertake development projects and build innovative prototypes.All four years of the course are eligible for the prevailing undergraduate student financial arrangements covering fees, loans and bursaries.

CyberFirst BursaryCyberFirst is a student scheme inspired and led by the National Cyber Security Centre (NCSC) which aims to support and prepare undergraduates for a career in cyber security. NCSC partners with other government departments and selected industry to offer students £4,000 per year and paid cyber skills training to help you kick start a career in cyber security. You will need to have (or expect to have) • 3 ‘A’ levels in any subject at Grade B or above (or equivalent) • and have an offer (or be applying) to study an Undergraduate Degree or Integrated Masters in any subject at a UK University from September 2021.Applications now open - find out more.

Alongside the optional work placement year, you can gain valuable experience and engagement with the sector through our shorter work placements, internships and work experience opportunities. Find out more

 

Course details

Course structure

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.

Computational Problem Solving

You are introduced to the fundamental concepts that support 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.

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.

Networks and Security

This module provides you with an understanding of the role of computer networks to fully appreciate and utilise within modern web-applications. Specific network design solutions are introduced and explored. You get hands on experience using key network devices for wired and wireless network.

Security threads, hazards and issues are explored along with security risk assessment and management. Relevant protocols and hardware technologies are introduced along with the role of legal requirements, social and ethical issues.

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

Agile Developer

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.

Functional Programming

We introduce you to functional programming and its underlying fundamental concepts. You use a functional programming language, such as Haskell, to solve real-world problems. The mathematical nature of functional programs allows you to apply mathematical reasoning to your programs, so as to prove that they are correct.

This module:

  • introduce you to functional programming and its underlying fundamental concepts
  • enables you to solve real-world problems using a functional programming language
  • enables you to apply mathematical reasoning to programs, so as to prove that a program is correct.

Lectures are supported by laboratory-based practicals. Lectures include on-line, interactive demonstrations. The IT laboratory sessions are used to implement and test solutions to given exercises. An electronic discussion forum is provided for you to discuss questions you may not have asked in class, and an electronic notice board is used to keep you informed about the module. You have weekly exercises to complete and group work is encouraged; you are expected to demonstrate your completed exercises during the laboratory classes. You are required to use your freelance time to complete your work or reinforce your understanding of a particular topic.

Relational and NoSQL Databases

You 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 develop a server database application from inception to implementation for a real world scenario.

The module investigates 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 are 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.

Software Design Patterns

You 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 are be introduced to concurrency, middleware and software architecture. This is a very practical module that encourages you to adopt agile software development methods.

Web Apps and Services

You 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.

 

Year 3 core modules

Applied Machine Learning

Machine learning is an important topic in the area of artificial intelligence. The methodology involves building a model of a given task based on observations to make predictions about unseen data. Such techniques are useful when the desired output is known - but an algorithm is unknown, or when a system needs to adapt to unforeseen circumstances. Machine learning draws significantly from statistics and probability theory as (though the applications are many and various) the fundamental task is to make inferences from data samples. The contribution from other areas of computer science is also essential for efficient task representation, learning algorithms, and inferences procedures. You also gain an exposure to a breadth of tasks and techniques in machine learning.

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.

 

Optional work placement year

Work placement

You have the option to spend one year in industry learning and developing your skills. We encourage and support you with applying for a placement, job hunting and networking.

You gain experience favoured by graduate recruiters and develop your technical skillset. You also obtain the transferable skills required in any professional environment, including communication, negotiation, teamwork, leadership, organisation, confidence, self-reliance, problem-solving, being able to work under pressure, and commercial awareness.

Many employers view a placement as a year-long interview, therefore placements are increasingly becoming an essential part of an organisation's pre-selection strategy in their graduate recruitment process. Benefits include:

· improved job prospects
· enhanced employment skills and improved career progression opportunities
· a higher starting salary than your full-time counterparts
· a better degree classification
· a richer CV
· a year's salary before completing your degree
· experience of workplace culture
· the opportunity to design and base your final-year project within a working environment.

If you are unable to secure a work placement with an employer, then you simply continue on a course without the work placement.

 

Year 4 core modules

Big Data and Business Intelligence

Computer Science Individual Project

You undertake a major, in-depth, individual study in an aspect of your course, this could be drawn from commercial, industrial or research-based problem areas. The project involves you researching and investigating aspects of your area of study, you then produce a prototype or proof of concept (such as software package or tool, design, web-site, research findings). The emphasis is on your ability for systematic acquisition, understanding and analysis of knowledge in your subject area of choice.

Data Analysis

This module introduces mathematical techniques for the processing and analysing massive datasets. In particular the module discusses how to pre-process and store massive datasets and to design efficient algorithms.

Lectures introduce techniques and underlying principles. Problem- solving seminars provide the opportunity for you to demonstrate understanding and develop competence in the application of methods learned in the lectures.

Interactive Visualisation

Statistical Methods

 

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 provide an inclusive and empowering learning environment and have specialist staff to support disabled students access any additional tailored resources needed. If you have a specific learning difficulty, mental health condition, autism, sensory impairment, chronic health condition or any other disability please contact a Disability Services as early as possible.
Find out more about our disability services

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

 
 

Entry requirements

Entry requirements

Typical offer
112-128 points

Find out how many points your qualifications are worth using the UCAS tariff calculator. If your qualifications are not listed, contact our admissions team as we may accept alternatives.

We may also be able to help you meet the entry requirements through our Summer University modules.

Maths and English
Acceptable qualifications in maths and English include:
• GCSE grade 4 (or higher)
• Level 2 Key Skills (Communication and Application of Number)
• Level 2 Functional Skills.

We also accept alternative equivalent or higher level qualifications.

For additional information please see our entry requirements

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

 

Employability

Career opportunities

Our computing students go into a wide range of careers, both nationally and globally. Graduates have gone on to work in the power industry, avionics and the pharmaceutical industry. Having a master’s-level qualification will give you a significant advantage in the employment market for computer scientists.

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 IBM, Microsoft, SABIC Petrochemicals and Thomson Reuters.

 

Information for international applicants

Qualifications

International applicants - find out what qualifications you need by selecting your country below.

Select your country:

  
 

Useful information

Visit our international pages for useful information for non-UK students and applicants.

Talk to us

Talk to an international student enrolment adviser

 
 

Full-time

Entry to 2020/21 academic year

Fee for UK/EU applicants
£9,250 a year

The final year is discounted from £9,250 to £6,500

More details about our fees

Fee for international applicants
£13,000 a year

The final year is £12,045

More details about our fees for international applicants


What is included in your tuition fee?

  • Length: 4 years (or 5 with a work placement)
  • UCAS code: I400 MComp/CS
  • Enrolment date: September
  • Semester dates
  • Typical offer: 112-128 points

Apply online (full-time) through UCAS

 

Part-time

2020/21 entry

Fee for UK/EU applicants
£4,500 (120 credits)

More details about our fees

  • Length: Up to 6 years
  • Attendance: Daytime
  • Enrolment date: September
  • Semester dates

Apply online (part-time)

 
 

Facilities

ExpoTalent is a unique opportunity to meet businesses to secure placements, internships and future employment opportunities.

 

Choose Teesside

iPad

Are you eligible for an iPad, keyboard and up to £300 credit for learning resources?

 

Accommodation

Live in affordable accommodation right on-campus

 

Campus

Study in our town-centre campus with over £270m of recent investment

 

Industry ready

Benefit from work placements, live projects, accredited courses

 

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