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Mathematicians are highly employable across all sectors. This is due to both their technical and transferable skills. This Maths and AI degree will also give you a solid background in modelling, computational and digital skills. It is the ideal choice if you are aiming for a career in the emerging and fast-paced AI environment.
Employability skills are embedded into our teaching throughout your studies so you will be developing the skills employers are looking for right from the start of your course. In addition to group work, presentation and communication skills, you will learn a range of the computing and programming skills expected by employers.
The 'Business Applications of Mathematics' module gives you the opportunity to experience the application of mathematical theory and mathematical modelling in a business context.
A/AS-levels: AAB-ABB including Maths. An A-level in Computer Science is desirable. Two AS-levels are considered in place of one A-level
EPQ with A-levels: ABB-BBB + EPQ at grade B. A-level subjects to include Maths
Access to HE Diploma: Pass relevant diploma with a minimum of 45 credits at level 3, 30 of which must be at Distinction. To include 15 credits at Distinction in Maths Level 3 modules. Plus grade A-B in Maths A-level. We may consider substantial Level 3 Maths Access credits instead of A-level Maths. Please contact Admissions regarding eligibility.
International Baccalaureate: Pass Diploma with 30 points, including 5 points in Maths at HL
BTEC Nationals: Pass Extended Diploma with DDM plus A-level Maths at Grades A-B. Please contact Admissions regarding eligibility.
Twenty hours of work permit weekly for international students.
Core modules
Calculus and Analysis (double module)
Linear Algebra (dual module)
Probability
Introductory Statistics
Programming Fundamentals
Algorithms, Data Structures and Advanced Programming
Vector Calculus
Differential Equations
Advanced Linear Algebra
Statistical Data Analysis
Statistical Distributions and Inference
Advanced Discrete Mathematics
Mathematical Foundations of AI and Machine Learning
Option modules
Algebra
Business Applications of Mathematics
Data Analytics
Operational Research
Data Mining and Neural Networks
Machine Learning For Data Analysis and Artificial Intelligence
Nonlinear Optimisation
Computational Intelligence and Software Engineering
Computers, Society and Professionalism
Scientific Computing
Analysis of Algorithms
Generalised Linear Models
IELTS 6.5 or equivalent. If your first language is not English, you may need to prove your English ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.
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For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.
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