BSc Hons Computing with Applied Mathematics
Ulster University
UCAS Code: G4X4 | Bachelor of Science - BSc
Ulster University
UCAS Code: G4X4 | Bachelor of Science - BSc
Entry requirements
A level
To include one subject from Mathematics, Further Mathematics or Physics. If offering Mathematics or Further Maths AND Physics a two grade reduction will be applied at the time of offer, BCC
120 UCAS tariff points to include a minimum of five subjects (four of which must be at Higher Level) to include either Mathematics or Physics at grade H2 and English at H6 if studied at Higher level or O4 if studied at Ordinary Level. If Mathematics is not completed at H2, it needs to be passed at H6 if studied at Higher level or O4 if studied at Ordinary Level, and Physics is then required to be passed at H2 or above.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
We will accept any BTEC/OCR qualifications (i.e. Extended Diploma, Diploma or Extended Certificate / Introductory Diploma / Subsidiary Diploma) in combination with A Levels or other acceptable level 3 qualifications. It should be noted that all applicants will need to have A Level Mathematics, Further Mathematics or Physics and this subject must be included along with any applied general qualification.
UCAS Tariff
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About this course
Computing and mathematics are at the heart of modern innovation, driving advancements across industries and reshaping how we solve complex problems. This BSc (Hons) in Computing with Applied Mathematics offers a unique interdisciplinary education designed to equip students with a robust foundation in computing technologies alongside advanced mathematical techniques. This combination empowers graduates to tackle real-world challenges in data science, artificial intelligence, software development, and beyond.
By integrating applied mathematics into the computing curriculum, this degree develops analytical and problem-solving skills that are in high demand across diverse fields, from finance and healthcare to engineering and the creative industries. Graduates will gain expertise in programming, data structures, and algorithms, while also mastering mathematical modelling, optimisation, and statistical inference—skills essential for addressing the complexities of our data-driven world.
The program is designed to bridge the gap between theory and practice, ensuring that students not only understand the underlying principles but can also apply them to cutting-edge technologies. In addition to emerging areas like scientific machine learning, cryptography, and operational research, this degree uniquely positions graduates to contribute to transformative advancements in areas spanning large language models (LLMs) such as ChatGPT, computational physics, robotics, medical imaging, bioinformatics, neuroscience, and the development of intelligent healthcare systems.
By harnessing computing and mathematics, students will be equipped to pioneer solutions across a range of machine learning-driven innovations, from enhancing decision-making systems to advancing predictive analytics and uncovering new insights from complex data.
What students say
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