LEC Abroad

BSc Computing Science

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University of Aberdeen

Course Level
Undergraduate
Course Subject
Computing

Course Description

UCAS Code: G400

A LEVELS Standard: BBC.

Mathematics OR two Science subjects required.

 

Are you excited by the possibilities of quantum computing, blockchain, encryption, data science, machine learning and other emerging artificial intelligence (AI) technologies such as ChatGPT?

A degree in Computing Science offers excellent career prospects across a wide variety of exciting sectors from e-commerce and fintech to healthcare and telecommunications.

At Aberdeen, you will develop practical skills in software development, programming, modelling and web development before moving on to study topics including artificial intelligence, cybersecurity, machine learning and data mining.

Computing Science at Aberdeen encompasses both the theory and the practice of computing with particular emphasis on developing your technical analysis, design and programming skills. You will study topics including software programming, databases and data management, computer systems, artificial intelligence (AI) and cyber security and learn to apply your programming and creative problem-solving skills to a wide variety of commercial, scientific and socio-economic contexts.

Our teaching reflects how advances in computing are constantly transforming how we live, learn, work and socialise – from how we detect and treat disease or analyse business, scientific or social data to how we make online shopping easier and more secure.

You will be taught by leading researchers whose work in multi-agent systems, natural language generation, machine learning and blockchain underpins what you will learn in your lectures.

 

Requirements

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£24800.00
Tuition fee
Apply by August 25, 2026
Start dates
Sep 2027, Sep 2028
Duration
4 Years
Campus
Main Campus
Mode of study
Full Time
Fees and deadlines depend on the selected options.
Fees and currency conversion are approximate.
⏳ Offer response
2-4 Weeks
📄 Backlogs accepted
This course does not accepts backlogs