Hive

Undergraduate

BSc Computer Science

Choose a career-driven degree. Apply for Computer Science at Hull today.

Key information

Study mode

Full-time

Course length

3 years

Typical offer

104 - 112 points

A Level grades: BCC - BBC

UCAS code

G400

Choose an option

Start date

Course overview

Whether you’re already an accomplished programmer or an absolute beginner, get career-ready with a degree in Computer Science.

All our Computer Science undergraduate courses offer a guaranteed, paid year in industry, between the second and third year, as a recognised part of your degree.

In your first year you’ll gain a rock-solid grounding in computer science fundamentals, cover all the essentials like software engineering and development, computer games and graphics programming, and gain a broad range of skills.

Then you get to chose from a huge range of modules – from advanced programming and computational science, to artificial intelligence and computer graphics – so that you tailor your learning to the career you want. 

Whatever pathway you choose, our degrees are accredited to the maximum available level by the British Computer Society and will put you on the pathway to chartered status.

Plus, you'll be using the latest industry-standard equipment and facilities, including our brand new Superlab, high-performance workstations, gigabit networking, 3D printers and laser scanners, swarm and humanoid robots, VR headsets, a 3D immersive cube, motion capture, AR and MR. 

You'll also have the chance to network, make contacts and test your skills out in the real world on a year-long industry placement. Or through extracurricular opportunities from hackathons to networking events with employers. Just like past students have for companies like BT, HP, BAE Systems, Microsoft and Virgin Media.

Add all that up and by the time you leave here, you’ll be a well-rounded IT graduate and a specialist with standout tech industry experience. Exactly what you need to make big-name employers stand up and take notice of your CV.

Computer Science on-demand

Learn more about your course in our subject sessions - watch now.

Cutting edge facilities to complement cutting edge learning

Computer Science

Take a look at our facilities...

computer-science-subject-session

Six reasons to study Computer Science at Hull

  1. Guaranteed, paid year in industry
  2. Superlab, gigabit networking and AR, VR and MR facilities
  3. 94.4% graduate employability rating
  4. Links to Microsoft, Sony and EA
  5. 6th in the UK for learning resources in Computer Science.*
  6. One of the top 5 UK universities for research impact

What you'll study

The course consists of 120 credits per year. Most modules are 20 credits, meaning you’ll study six modules each year. Some longer modules, such as a dissertation, are worth more (e.g. 40 credits). In these cases, you’ll study fewer modules - but the number of credits will always add up to 120.

First year modules

  • Core

    Programming Portfolio

    Programming is an essential skill for students studying computer science-related programmes. It is a vital driving force for most technological and business applications today. A broader and deeper understanding of programming is therefore essential for the job market.

    The Programming Portfolio module provides the required practical knowledge for Computer Science students to design, implement and test algorithms. The module uses lectures to deliver concepts, a practice lab to apply the programming concepts learnt by developing programs to solve problems. You will take part in hands-on practical assessments, which will enable you to acquire extensive programming skills in an industry standard programming language. We will support you whether you are new to programming or have existing skills.

    Algorithms and Data Structures

    Start to think like a computer (bleep bloop)! This module explores logic, data storage and algorithms with the use of practical demonstrations and activities. Operating in parallel with programming-focussed modules, we will develop a toolkit of key concepts from a theoretical (non-code) perspective, facilitating a better understanding of these fundamentals. Topics to expect include pseudocode, state machines, essential keywords, common data structures, sort algorithms and search algorithms. You will learn methods to analyse and compare algorithms and their constituent parts in order that you may better design, evaluate and develop effective, efficient and performant software solutions.

    Architectures, Operating Systems and the Cloud

    In this module you will explore the fundamental properties of computers that allow them to execute programmes. You will learn about how Computers are made to work in hardware and simulation (Virtual Machines). A collection of Virtual Machines is a cloud, and this module allows you to get experience with the development of your own cloud using appropriate platforms.

    Computational Thinking

    This module will enable you to develop your knowledge and understanding of the key mathematical underpinnings of computer science, to aid you in problem solving and programming. The development of your competence in logic, mathematics and statistics will also provide evidence of your numeracy and more advanced skills and is valued by employers.

    Professional Development (Computer Science)

    Employers want much more than discipline specific skills. This module sets you up to grow your professional skills and awareness, when working both individually and as part of a team. You will also develop your appreciation of the challenges within the sector, and how technology can help to solve worldwide issues. You will begin a personal portfolio that you will add to over your degree and you will work as part of a team to produce a design prototype, demonstrating your personal professional development. Through researching your discipline, you will understand the range of career roles available and what you need to do to progress in them.

Second year modules

  • Compulsory

    Design, Develop, Deploy

    Our flagship software development module. You'll use contemporary software development tool chains to experience authentic software creation and deployment, applying techniques such as agile project management, test-driven development and continuous integration and deployment.

    Databases and Networks

    You'll be introduced to the core components of any online information system that drives the information we use today. Learn how modern applications fetch data from servers and how that information can be stored and retrieved efficiently. You will solve a real-world problem by developing a networked database.

    User Interfaces and Experience

    Any software or hardware used by humans needs to put human understanding at its core. Digital products succeed or fail by how well the designer understands the ability of a human to use the product, or the experience that using the product provides. You'll take a scientific and engineering approach to understanding, developing and evaluating effective interfaces and experiences for users.

    Artificial Intelligence for Computer Science

    Data is one of the 21st century’s most valuable commodities. In this module, you'll learn how to analyse, validate and interpret it to inform decision making and use artificial intelligence techniques to solve a real world problem - gaining the skills to meet the industry's widely recognised shortage of qualified Artificial Intelligence (AI) and data scientists.

  • Optional

    Advanced Programming

    In this module you will explore advanced techniques in programming as well as building an understanding of how high level objected-oriented languages are executed on a modern CPU.  C++ will be used extensively, but we with reflect back on C#, as well as throwing in some assembly language.

    Mixed Reality Development

    Mixed Reality is a blend of physical and virtual environments, unlocking natural and intuitive 3D human, computer, and environment interactions. Learn concepts and techniques in the field of mixed reality and user-centred testing and implement mixed reality applications using technologies applicable to the problem domain. You will use a mixed reality application to conduct a user test, analyse and report on results.

Final year modules

  • Core (select one)

    Honours Stage Project

    Tackle a substantial piece of computer-related investigation or software design in an area of your interest. This includes practical development and evaluation of your designs and implementation.

    Communicating and Teaching Computing

    Undertake a placement in a school or college to develop practical teaching and communication skills, as well as understanding of the education process.

  • Compulsory

    Data Analysis and Visualisation

    Data analytics has rapidly become a part of all of our lives, and is an increasingly sought-after skill on the job market. In this module you'll learn the theoretical and practical skills to analyse any dataset independently, starting from exploratory analysis of a new dataset for hypothesis finding, over choosing and comparing different algorithms, and presenting and explaining your results quantitatively and visually. You will learn to train models of different complexity that can make predictions or uncover hidden patterns in data, making responsible and fair decisions that can help improve our lives.

    Computational Science

    Study the key concepts and techniques to: enable modelling a system, understand its limitations and develop appropriate AI architectures to solve computational problems.

  • Optional (select one)

    Secure Digital Infrastructure

    Secure Digital Infrastructure enables you to deploy organisational computer systems in a professional and secure way. You will learn how to do this through practical hands-on activities and supporting background lectures.

    Digital Disruption and Innovation

    Creating a viable technology start-up requires insight into technical development and what it takes to deliver your product. In this module, you will form an individual digital product business plan. Then, as a small production team, you will then select an idea to take forward to develop and present this a final product pitch.

  • Optional (select one)

    Safety Critical Systems

    Safety critical systems form part of society’s crucial infrastructure. From transportation to power generation, their safe operation is a fundamental consideration during their design and beyond. The rise in size and complexity of these systems of systems demands computer automation and support for analysing and optimising throughout the development lifecycle.

    Distributed Systems Programming

    Explore mechanisms for applying your existing C# knowledge to distributed systems or applications while considering key areas like scalability and security.

    Computer Vision

    Computer vision is fundamental to intelligent systems ranging from advanced microscopes to access control systems and from autonomous robots to self-driving cars. You'll will develop expertise that are currently being used in real-world systems. This includes design and analysis of algorithms for image processing and computer vision as well as evaluation of various cutting-edge solutions in the context of emerging applications.

    Parallel and Concurrent Programming

    Utilise multi-core processors and GPUs to design, optimise and program parallel and multi-threaded software. You’ll use performance analysis tools to explore this process.

All modules are subject to availability and this list may change at any time.

How you'll study

Throughout your degree, you’re expected to study for 1,200 hours per year. That’s based on 200 hours per 20 credit module. And it includes scheduled hours, time spent on placement and independent study. How this time’s divided among each of these varies each year and depends on the course and modules you study.

Overall workload

240 hours

Scheduled study Scheduled hours typically include lectures, seminars, tutorials, workshops, and supervised laboratory and studio sessions.

960 hours

Independent study Independent study is the time outside your scheduled timetable, where you’ll be expected to study independently.

Indicative assessment proportions

53%
7%
40%
  • Examination

    Written assessment typically includes exams and multiple choice tests.

  • Practical

    Practical is an assessment of your skills and competencies. This could include presentations, school experience, work experience or laboratory work.

  • Coursework

    Coursework typically includes essays, written assignments, dissertations, research projects or producing a portfolio of your work.

Overall workload

288 hours

Scheduled study Scheduled hours typically include lectures, seminars, tutorials, workshops, and supervised laboratory and studio sessions.

912 hours

Independent study Independent study is the time outside your scheduled timetable, where you’ll be expected to study independently.

Indicative assessment proportions

52%
48%
  • Examination

    Written assessment typically includes exams and multiple choice tests.

  • Coursework

    Coursework typically includes essays, written assignments, dissertations, research projects or producing a portfolio of your work.

Overall workload

204 hours

Scheduled study Scheduled hours typically include lectures, seminars, tutorials, workshops, and supervised laboratory and studio sessions.

996 hours

Independent study Independent study is the time outside your scheduled timetable, where you’ll be expected to study independently.

Indicative assessment proportions

35%
65%
  • Examination

    Written assessment typically includes exams and multiple choice tests.

  • Coursework

    Coursework typically includes essays, written assignments, dissertations, research projects or producing a portfolio of your work.

Sam Hutchinson, MSc Computer Science
Sam Hutchinson Computer Science

My placement year at BT

Watch video

Entry requirements

Typical offer

  • A level grades BCC - BBC

  • BTEC grades DMM

  • Points required 104 - 112

Work out your estimated points

Don't meet our requirements?

We offer a Foundation Year to boost your skills and knowledge – it’s a great way to make your way into higher education.

Switch to the foundation year

Points can be from any qualifications on the UCAS tariff, but must include at least 80 points from

  • A levels
  • BTEC Subsidiary Diploma, Diploma or Extended Diploma
  • OCR Cambridge Technical Introductory Diploma, Diploma or Extended Diploma
  • CACHE Diploma or Extended Diploma
  • Irish Leaving Certificate
  • Scottish Highers
  • Welsh Baccalaureate Advanced Diploma
  • or a combination of appropriate Level 3 qualifications

Applicants should also have

  • GCSE Maths at Grade 4 or C or above

Alternative qualifications

  • IB Diploma: 28 points.
  • Access to HE Diploma: pass with merits in a minimum of 23 credits (including some science or maths) Suitable diplomas include Computing/Science/Maths

Why is there a range of points for the course I'm interested in?

If you apply for one of these programmes, you'll receive an offer that aligns to your predicted points. At Hull, you're a name not a number. We treat everyone as an individual and that starts from when you apply. We know your grades aren't the whole story and that everyone has different circumstances and experience when they apply. That's why we tailor our offers specifically to you - because we think that everyone deserves the opportunity to be extraordinary, and study what they love.

Worried you don’t quite meet our entry requirements?

We consider experience and qualifications from the UK and worldwide which may not exactly match the combinations above.

But it’s not just about the grades – we’ll look at your whole application. We want to know what makes you tick, and about your previous experience, so make sure that you complete your personal statement.

If you have any questions, our admissions team will be happy to help.

Don't meet our requirements?

We offer a Foundation Year to boost your skills and knowledge – it’s a great way to make your way into higher education.

Switch to the foundation year

If you require a student visa to study or if your first language is not English you will be required to provide acceptable evidence of your English language proficiency level.

This course requires academic IELTS 6.0 overall, with no less than 5.5 in each skill. See other English language proficiency qualifications accepted by this University.

If your English currently does not reach the University's required standard for this programme, you may be interested in one of our English language courses.

Visit your country page to find out more about our entry requirements.

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Take a tour of the facilities

The Hull Immersive Visualization Environment (HIVE) provides a virtual reality cube, VR theatre, gigapixel wall facilities, plus wearable devices. 

Fees and funding

UK

£9,250 per year*

EU/International

£18,300 per year

International applicants may need to pay a tuition fee deposit before the start of the course. Visit our tuition fee deposit page for more information.

*The amount you pay may increase each year, in line with inflation - but capped to the Retail Price Index (RPI).

The fees shown are for 2022 entry. The fees for 2023 have not yet been confirmed and may increase.

UK students can take out a tuition fee loan to cover the cost of their course and a maintenance loan of up to £9,706 to cover living costs.

Substantial discounts are available for International students.  

More information on fees can be found in the Money section of our website.

Your tuition fees will cover most costs associated with your programme (including registration, tuition, supervision, assessment and examination).

There are some extra costs that you might have to pay, or choose to pay, depending on your programme of study and the decisions you make. The list below has some examples, and any extra costs will vary.

  • Books (you’ll have access to books from your module reading lists in the library, but you may want to buy your own copies)
  • Optional field trips
  • Study abroad (including travel costs, accommodation, visas, immunisation)
  • Placement costs (including travel costs and accommodation)
  • Student visas (international students)
  • Laptop (you’ll have access to laptops and PC’s on campus, but you may want to buy your own)
  • Printing and photocopying
  • Professional-body membership
  • Graduation (gown hire and photography)

Remember, you’ll still need to take into account your living costs. This could include accommodation, travel and food – to name just a few. 

An affordable city for students

From bills, to meals, to pints – you’ll find that your money goes a lot further in Hull.

Your future prospects

 

  • Programmer
  • Systems developer
  • Software application developer
  • Games developer
  • Information systems manager
  • Network engineer
  • Cyber security specialist
  • Business intelligence analyst
  • Web developer

 

 

Sony, Microsoft, IBM, BT, Electronic Arts, Rockstar Games, Dell, Fujitsu, Capita…

Our graduates go on to successful careers working with all kinds of brands, not-for-profit businesses and public sector organisations.

Some move on to an MSc or PhD. And some even go on to set up and grow their own tech businesses.

Want to join them? Apply now and we’ll help you make it happen.

Open Day at University of Hull

Ready to apply?

You can apply for this course through UCAS. As well as providing your academic qualifications, you’ll be able to showcase your skills, qualities and passion for the subject.

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This. Is. Hull.

A place where we stand up to kings, do deals with the world and take a wrecking ball to the slave trade. A place where culture stands out and the phone boxes are a different colour. A place where we're free-thinking, independent and proud of it.

*National Student Survey (NSS) 2021, HEIs only.

†Percentage of students in work or further study within 15 months of graduating: UK domicile full-time first degree leavers, Graduate Outcomes survey for the academic year 2018/19, published by HESA July 2021.

‡Research Excellence Framework 2014 (REF 2014)