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Computer Science at Buckinghamshire New University - UCAS

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Course summary

Ready to dive into the world of computing? Searching for a degree that blends theory with practical experience? Look no further than BSc (Hons) Computer Science. This course equips you with the skills to create, analyse, and solve real-world computing challenges. From coding and data science to cloud computing and AI, a degree in computer science can prepare you for a wide range of careers. Why Study Computer Science at BNU? State-of-the-art facilities

  • At BNU, we are committed to providing you with the best learning experience by investing in industry-standard systems and software to help you transition seamlessly from education to employment. Our well-maintained and fully equipped computing facilities feature large labs, some of which are specialized for cyber and AI studies. These labs are fitted with dual-screen, dual-boot (Windows and Linux) systems and cutting-edge software to develop the skills required in today's workplace. You'll also have access to advanced technologies, including virtual servers, VR headsets, 3D printers, Raspberry Pi microcomputers, EEG headsets, and more, ensuring a comprehensive and hands-on learning environment.
  • Labs have been custom built to provide the best spaces to nurture the specific skills needed for game and internet development. These allow you to build your skills within key areas of future employment.
Real-World Experience
  • You will have the opportunity to work on real-world projects and collaborate with industry professionals, as well as participate in competitions, hackathons, and events.
Cutting-Edge Topics
  • Explore the latest trends and challenges in computer science. From your first day onwards you will be studying topics ranging from, Artificial Intelligence, Computer Architecture, Discrete Mathematics, User Experience (UX) and Data Science.
What will I study? This course lets you learn about different aspects of computer science and software engineering. You will get the skills you need to work in the technology industry. You will not only learn in the classroom, but also work on real projects by yourself or with a team. During this course you will acquire a broad range of skills covering computation theory, fundamentals of computer science, compliers and operating systems, basic programming, software development and testing, web applications and databases, algorithms and data structures, whilst building secure web and mobile applications, alongside analysing life-critical systems. From your first day and onwards, you are with us, you will be studying topics ranging from, Computer Architecture, Discrete Mathematics, User Experience (UX) and Data Science. You will learn how to make systems that are dependable and reliable, using an object-oriented design approach. You will use industry standard methods, such as UML. You will also learn how to manage large-scale software projects. You will have the chance to study more about artificial intelligence, media programming, real-time systems, cloud computing and security. You will grow and improve your learning throughout the course. You will start with the basics, such as web and mobile development, IT support, software development, programming, analysis, design and network industries. Then you will apply what you have learned to various assignments, either individually or in a team. You will also learn skills in machine learning, artificial neural networks, data analysis, fuzzy and expert systems. You will also explore other areas that relate to AI, such as mathematics, logic, philosophy, cognitive psychology, linguistics and sociology. This course is also offered as four-year programmes, including an initial Foundation Year. The Foundation Year will allow you to develop your academic study skills and build confidence in your abilities, identifying your own strengths and development needs for progression onto an undergraduate degree. 

Modules

Year one Core Modules Programming Concepts Computer Architecture Networks Web Development Computational Fundamentals Year two Core Modules Data Essentials Object Oriented Programming Research Methods Optional Modules Introduction to Natural Language Processing Real-Time Systems Algorithms and Data Structures Year three Core Modules Advanced Programming Extended Independent Work Optional Modules Design Patterns Critical Systems Cloud Computing Data Science Knowledge-Based Systems in Artificial Intelligence

Assessment method

At Buckinghamshire New University we like to foster an interactive and student-focused teaching style where we have a combination of formal lectures, tutorials, practical lab sessions, seminars and guest speakers to enhance the learning experience. We like to design our course to reflect the workplace so you will have the opportunity to carry out independent study, supported through distance learning technologies such as Blackboard, our Virtual Learning Environment. We will also provide reading lists and suggested resources to enhance independent study. You are more than a number at BNU, and we are here to support you through your education journey. We have in place regular contact hours with our tutors and provide you with informal feedback throughout the programme of study. Over the years of your course you will be assessed and graded in a multitude of ways to allow you to develop and expand on your abilities and skills. Assessments for the various modules will mostly take the form of practical coursework, lab tests and written exams, with the focus being on testing the practical application of the various concepts and techniques being conveyed.

Qualified teacher status (QTS)

To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:

  • Course does not award QTS

How to apply

Application codes

Course code:
CS01
Institution code:
B94
Campus name:
Buckinghamshire New University
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements


Student Outcomes

Operated by the Office for Students
70%
Employment after 15 months (Most common jobs)
75%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
Channel Islands £9250 Year 1
Republic of Ireland £9250 Year 1
EU £15000* Year 1
International £15000* Year 1

*This is a provisional fee and subject to change.

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Most courses will involve some additional costs that are not covered by your fees. You could benefit from financial support through a bursary or scholarship during your time as a student. For more details visit our financial support, bursaries and scholarships section.
Computer Science at Buckinghamshire New University - UCAS