BSc (Hons) Computer Science
Leeds, United Kingdom
DURATION
3 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
20 Jan 2025
TUITION FEES
GBP 16,000 / per year *
STUDY FORMAT
On-Campus
* for international students | for UK students: GBP 9,250 per year
Introduction
Computer science graduates are in demand. Completing this course will give you the knowledge needed to work at the forefront of this exciting sector.
As part of this course, you’ll:
- Study fast-developing areas including Software Engineering, concepts in artificial intelligence, networked communications and cloud-based systems
- Learn the principles of computer science and how to apply them to problems across different industries
- Work with a variety of tools including Microsoft Azure, Amazon Web Services (AWS), Python, Java, OpenStack, Eclipse, Visual Paradigm, and Android Studio.
- Enhance your teamwork and project management abilities using the agile skills and techniques that are widespread in many industries, while honing your expertise in emerging technologies.
Industry affiliated
This course is accredited by the British Computer Society – Chartered Institute of IT (BCS). BCS recognises the quality of our curriculum, assessment, student support and all elements of the course. This means that what you’re learning is current and in line with industry requirements.
Hands-on learning
Practical experience will be at the heart of your learning. We have strong contacts with industry, and you’ll have the option to do a placement year. Previous students have worked at NHS Digital, Sky and Rolls Royce.
Group projects, and presentations, along with hackathons and competitions, will help you link theory to industry practice.
Specialist facilities
You’ll have access to a range of resources as a student on this course, These will include a dedicated networking lab where you can learn how to configure networks and work on industry-standard network management tools. You’ll also be able to use our sandbox lab with full administrator rights, which gives you the freedom to work on a range of technologies. This will enable you to develop advanced skills using a variety of tools and possibilities for learning systems development with Raspberry Pi and IoT.
Why study Computer Science at Leeds Beckett University...
- Top 30 in the UK for Computer Science and Information Systems*
- Practical learning – learn how to apply your technical skills to real industry computing challenges
- Placement option – you’ll be encouraged and supported to take a ‘sandwich’ year – a year of paid employment in the industry which will build your skills and experience
- Industry 4.0 - study a range of subjects including AI, Data Analytics, Systems, networking communications and more
- Learn from experts – in addition to industry-experienced tutors, you’ll have access to specialist guest lectures and employer networking events
- Create together – additional opportunities to work and collaborate with your coursemates through hackathons and programming competitions
*2024 Guardian Subject League Tables
Gallery
Admissions
Scholarships and Funding
There are ways you may be able to fund your course. Sometimes it is possible to get sponsorship from a government body in your country. There are many different options, so have a look through the links carefully to see if they apply to you.
- International Scholarships
- Chevening Scholarships
- US / Canada Direct Loans
Curriculum
Teaching & Learning
Independent study is a crucial part of learning at university and you will be required to undertake many hours of self-directed research and reading, and preparation and writing of assessments. Your course is delivered through several modules, which will help you to plan your time and establish a study routine. Outside of your lectures, workshops and tutorials, a range of support is available to assist with your independent study. Our subject-specific librarians will be on hand to direct you to specialist learning and study-skill resources. You’ll also be assigned an academic advisor to give you tailored feedback and support.
Year 1
What you'll learn
Computing Systems
Gain insight into computers, operating systems, and networks. Understand their internal workings and how they interact to provide the common computing experience.
Fundamentals of Computer Science
Develop core understanding across various aspects of computer science, including software engineering, computer networking, digital media, AI, cloud computing, sustainable computing, and big data.
Fundamentals of Computer Programming
Introduce fundamental concepts of computer programming, covering variables, data types, sequence, selection, iteration, basic algorithms, structured programming, and code reuse.
Fundamentals of Databases
Explore stages in database system development, acquiring skills in database modelling and implementation. Address ethical and professional issues related to database development.
Object-Oriented Programming
Expand on basic programming knowledge, focusing on object-oriented programming concepts and associated design techniques.
Computer Communications
Examine principles enabling efficient and secure information sharing. Understand networking protocols' techniques for successful communication, including error detection and recovery, multiplexing, and security measures.
These modules collectively provide a comprehensive foundation in computing, covering systems, programming, databases, object-oriented principles, and computer communications essential for a thorough understanding of computer science.
Year 2
What you'll learn
Software Systems Development
Focus on advanced programming concepts and underlying principles. Study professional techniques for developing high-quality, commercial-grade software products.
Operating Systems in Practice
Deepen your knowledge of operating systems to support, administer, and potentially develop components of live operating systems.
Computer Network Architectures
Explore local area networks (LANs) and wireless LANs, understanding their operations and key components.
Applied Machine Learning
Develop an understanding of algorithms, data structures, and the latest advancements in artificial intelligence and machine learning techniques. Explore applications in smart cities, healthcare, business, and manufacturing.
Team Project
Enhance professional and entrepreneurial skills by collaborating in small groups to design, develop, and present solutions to real-world or case-study-based problems.
These modules collectively prepare you for advanced aspects of software development, operating systems, computer networks, machine learning applications, and collaborative project work, fostering both technical expertise and practical skills in various computing disciplines.
Advanced Software Engineering A
Extend your programming skills and knowledge to an advanced level. Develop transferable programming and design abilities that prepare you to work confidently in industry settings. This module typically focuses on advanced topics in software engineering, including software design patterns, architecture, software testing methodologies, and possibly advanced programming languages or frameworks.
Production Project
Enhance your professional and entrepreneurial skills by working in a small development team. You'll identify, research, plan, design, develop, evaluate, and present a software-based solution to a real-world problem or case study. This module emphasizes the practical application of software engineering principles and project management skills, preparing you for collaborative work in software development environments.
These modules collectively provide opportunities to deepen your expertise in software engineering, apply theoretical knowledge to practical projects, and develop skills necessary for successful careers in the software industry.
Year 3
What you'll learn
Cloud Computing
Examine the construction of cloud services and the technologies involved in providing them to client-side systems. The study established protocols for server-side software communication and considered aspects like security and n-tier systems.
Advanced Web Engineering
Focus on current developments, standards, tools, and technologies in internet application systems. Learn to build professional web-based systems using contemporary techniques.
Advanced Database Systems
Take a practical approach to data and database development and management. Justify and implement appropriate modelling, design, and programming strategies for modern data/database applications.
Select two from the following options:
Embedded Intelligent & Vision Systems
Explore the development of systems integrating intelligent capabilities and visual processing, typically used in robotics, automation, and AI-driven applications.
Developing Mobile Applications
Investigate architectures, platforms, and techniques for building applications tailored to mobile devices, focusing on usability, performance, and integration with mobile operating systems.
Advanced Networking Systems
Study advanced concepts in networking technologies, including quality of service in converged networks. Explore software-defined networks (SDN) and network function virtualization (NFV) concepts.
Additionally, the course offers a 'sandwich' year, typically taken between the second and third years, allowing you to gain industry experience through paid employment. This opportunity enhances your skills, builds your professional network, and strengthens your CV, preparing you for success in the job market after graduation.
Program Tuition Fee
Career Opportunities
The growing demand for computer science skills means graduates with STEM (science, technology, engineering and mathematics) degrees are becoming increasingly sought after in industry. Whether you’re interested in a hands-on technical role or undertaking pioneering research, this course will open career opportunities across Industry 4.0 and beyond.
Career options include:
- Software Engineering
- Cloud architect & developer
- Systems analyst & engineer
- Industrial controls designer
- Data analyst
You could also progress onto postgraduate level study with one of our masters’ courses, including MSc Advanced Computer Science, MSc Data Science or MSc Information & Technology.
Facilities
Program Leaders
Student Testimonials
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.