Applied Computer Science MEng, BSc
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I had an approximate monthly budget of 600-700EUR, including house renting. That's the most important part, the University provided me with an affordable room, if you rent by your own it can be more expensive.
← | →
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The university is well established and its research's quality is more than excellent. The research team was very friendly and helped me to learn new techniques.
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Bachelor's degree
In Leeds
Description
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Type
Bachelor's degree
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Location
Leeds
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Duration
4 Years
Computing is critical to all areas of modern life. This course will give you insight into key theoretical aspects of the subject but also places great emphasis on the practical skills needed to develop computing infrastructure and solve computational problems in areas such as engineering, healthcare and the business world.
You'll learn the fundamentals of software development and how to build secure and efficient systems for desktop, web and mobile environments. You will also be able to develop skills in more specialized areas such as data science, cloud computing, intelligent systems and robotics.
A wide range of optional modules is available, allowing you to study topics that relate to your own interests and career ambitions. You'll also undertake project work at every level of the course, equipping you with the problem-solving and team-working skills that you will need in your future career.
You can choose to take either the four-year Integrated Masters (MEng, BSc) or the three-year Bachelor’s (BSc) degree on this course.
Find out more about the MEng, BSc and BSc
Specialist facilities
You’ll have access to specialist facilities including well-equipped labs containing Linux and Microsoft platforms.
For final-year project work you’ll also be able to make the most of our research facilities, such as a 53-megapixel powerwall display and dedicated 3D virtual reality suite, a new testbed for cloud computing and dedicated labs with high-spec, dual-display Linux workstations, iPad, Mac and Android development areas.
Facilities
Location
Start date
Start date
About this course
Graduates from the School of Computing have excellent job prospects. With the continuing application of computer technologies, rapid growth of hardware and software technologies, their allied industries, and widespread application, the demand for our graduates is set to continue for the foreseeable future.
90% of our recent graduates have gone on to work or further study within six months of graduating. Our graduates find employment in the IT industry, ranging from start-ups to international organisations, and across a range of other sectors including technology, retail, finance, public authorities and consultancies.
A-level: AAA GCSE Mathematics grade B (6) or above is also required.
Where an A-level Science subject is taken, we require a pass in the practical science element, alongside the achievement of the A-Level at the stated grade.
Excludes A-level General Studies or Critical Thinking.
Reviews
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I had an approximate monthly budget of 600-700EUR, including house renting. That's the most important part, the University provided me with an affordable room, if you rent by your own it can be more expensive.
← | →
-
The university is well established and its research's quality is more than excellent. The research team was very friendly and helped me to learn new techniques.
← | →
Course rating
Recommended
Centre rating
Trainee
Anonimous Student
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 14 years
Subjects
- Computing
- Linux
- Algorithms
- Web
- Project
- Systems
- Engineering
- Programming
- Theoretical
- Technologies
- Knowledge
- Architecture
Course programme
Year 2 will build on this knowledge base, taking you deeper into more theoretical areas such as algorithms and artificial intelligence while also giving you practical skills in software engineering and user interface creation. Options at this level cover topics such as data mining and the development of fully fledged web applications tailored for mobile environments and social media.
In Year 3 you will have an even wider choice of modules, giving you the chance to study specialist areas such as data analytics and visualisation, security, distributed systems, mobile computing and robotics. You will also undertake a major individual project – an opportunity for you to specialise in an area of your choice, working for an extended period with a member of academic staff.
If you study the MEng qualification, you will continue into Year 4. Options available here cover advanced topics drawn from our research strengths, including big data systems, machine learning, semantic technologies and cloud computing. You will take part in a substantial group project on a specific engineering problem that allows you to apply everything you’ve learned during the course, and you can choose to undertake a further individual research project.
Modules
Year 1
Compulsory modules
- Databases
- Computer Architecture
- Computer Processors
- Fundamental Mathematical Concepts
- Introduction to Discrete Mathematics
- Procedural Programming
- Object Oriented Programming
- Professional Computing
- Programming Project
Optional modules
- Programming for the Web
- Introduction to Web Technologies
Compulsory modules
- Operating Systems
- Networks
- Formal Languages and Finite Automata
- Artificial Intelligence
- Algorithms and Data Structures I
- User Interfaces
Year 3
Compulsory modules
- Secure Computing
- Individual Project
Optional modules
- Web Services and Web Data
- Distributed Systems
- Parallel Computation
- Mobile Application Development
- Cryptography
- Programming Languages and Compilation
- Intelligent Systems and Robotics
- Information Visualization
- User Adaptive Intelligent Systems
- Decision Modelling
- Computer Graphics
- Combinatorial Optimisation
- Graph Algorithms and Complexity Theory
- Functional Programming
- Innovation; Thinking and Practice
Year 4
Compulsory modules
Group Project
Optional modules
- Big Data Systems
- Data Science
- Bio-Inspired Computing
- Knowledge Representation and Reasoning
- Parallel and Concurrent Programming
- Cloud Computing
- Semantic Technologies and Applications
- Image Analysis
- Advanced Software Engineering
- Scientific Computation
- Graph Theory: Structure and Algorithms
Applied Computer Science MEng, BSc