There is no doubt that we are living in a digital age where computer programmes impact every aspect of our lives and define the world we live in today. Computer systems design and the related industries are one of the fastest growing areas across the globe, so it should come as no surprise that Computer Science is becoming one of the most sought after and valued degree programmes. In this blog, we look at studying Computer Science and how it can open up a world of possibilities.
Computer Science degrees are normally structured in an incremental way, they start with the basics and become progressively more specialised and complex. This is because many undergraduates will not have studied Computer Science in detail at school but most will have a strong foundation in maths.
In the first year, students develop foundations in key areas such a theory of computation, systems, hardware and software engineering, the user interface, data structures and programming. You should expect to have a competent knowledge of the theoretical foundation of information and computation before you can progress into the second and third years.
As you move through the degree, you will be able to select from a wide range of specialist topics including areas such as computational logic, modeling, security, AI, games development, ethical hacking, networking theory and much more. Due to the rapid pace of development in this subject, you will no doubt find new modules being added yearly to keep up!
Assessments tend to be a combination of examinations and coursework with various projects and tasks set throughout the year. These degree courses tend to be very much a mix between theory and practical aspects.
By the end of your degree, you will have gained skills in:
- Theory, methods, practice and strategy
- A range of programming languages
- Understanding of computing architecture, design and construction
- Software, tools, packages and design
- Computer-based systems
Computers are obviously a global phenomenon, so more and more universities are offering the opportunity to study or work abroad as part of the degree programme. Not only does this give students a chance to gain a better understanding of the impact of technology across the world, it also means you can immerse yourself in local culture and gives you a unique opportunity to experience new things.
Read more about the benefits of a ‘year in the field’ here.
Computer Science graduates are in high demand in almost every type of industry from engineering to healthcare to finance and salaries reflect this.
Common job areas include IT Consultant, Database Administrator, Games Developer, Media Programmer, Systems Analyst and Network Engineer. But by studying Computer Science you will not only gain knowledge but also problem solving and logical thinking skills, which are highly sought after in most industries.
Statistics show that most Computer Science graduates are likely to be employed within sixth months of leaving university. This is strengthened further if the degree is from one of the UK universities best known for this subject. So what are the top universities in the UK for Computer Science?
Whilst undergraduates will not usually be expected to have formally studied Computer Science beforehand, it is recommended that applicants learn a basic programming language in advance.
Most universities will request Further Mathematics or at least Mathematics as a prerequisite, some will also ask for Physics.
Universities are looking for creative and diligent candidates with a talent for mathematics, problem solving and logical thinking.
For A Levels, offers tend to be AAA – A*A*A with at least an A in Maths.
For IB, usually 39-42 points, including core points with at least a 7 in Maths.
- Home: £9,250
- International: £24,600-£30,678
Top reasons to study Computer Science
- High graduate salaries and excellent career prospects
- Opportunity to join a rapidly growing industry
- Access to work in a wide range of industries
- Chance to be at the cutting-edge of research and scientific innovation
- Varied postgraduate routes including Data Science, AI and Computational Life Science