**This is a Connected Degree**
Portsmouth is the only University in the UK with the flexibility to choose when to do an optional paid placement or self-employed year. Either take a placement in your third year, or finish your studies first and complete a placement in your fourth year. You can decide if and when to take a placement after youve started your course.
**Overview**
Understand the mathematics that underpins artificial intelligence, and develop the skills needed to build machine learning models.
You’ll make yourself vital to an age of artificial in...
**This is a Connected Degree**<br/>Portsmouth is the only University in the UK with the flexibility to choose when to do an optional paid placement or self-employed year. Either take a placement in your third year, or finish your studies first and complete a placement in your fourth year. You can decide if and when to take a placement after youve started your course.<br/><br/>**Overview**<br/>Understand the mathematics that underpins artificial intelligence, and develop the skills needed to build machine learning models.<br/><br/>You’ll make yourself vital to an age of artificial intelligence by building invaluable theoretical and practical abilities. You’ll study powerful mathematical concepts and tools, and bring them to bear on subjects like machine learning, neural networks, and Python coding. <br/><br/>Once you graduate, you’ll be set to enter any of the industries being transformed by AI and machine learning tools. Youll learn how to apply large language models such as ChatGPT, and how to analyse images and other live data coming from sectors such as healthcare, education and business. Youll also be ready to move into roles that rely on mathematical understanding, such as finance or government, or to take up postgraduate study in maths or artificial intelligence. <br/><br/>**Course highlights**<br/>- Develop a rounded understanding of modern mathematics, including calculus, linear algebra and probability, with a focus on machine learning tools, theories and methods<br/><br/><br/>- Apply your learning with modules in programming languages such as Python, Mathematica and R<br/><br/><br/>- Learn how to use industry standard tools for building machine learning models such as scikit-learn, PyTorch and TensorFlow<br/><br/><br/>- Study alongside world-class researchers in machine learning and mathematics, in a department placed in the top ten for teaching in the 2022 NSS report<br/><br/><br/>- Build your career prospects with built-in employability programmes, placement support and careers advice<br/><br/><br/>- Brush up your skills with our drop-in Maths Cafe and personal tutorial system<br/><br/><br/>**Careers**<br/>Studying machine learning shows you’re committed to understanding the needs of the growing artificial intelligence sector. Forbes magazine predicts a 71% growth in jobs that need AI or machine learning skills by 2026, and research suggests that the UK will face a skill gap that your knowledge could help fill. <br/><br/>You’ll also graduate with a deep understanding of the mathematical principles, theories and methods that make machine learning possible - unlike other degrees in this field, our degree in Mathematics and Machine Learning is designed to give you the underlying understanding that will help you grasp future developments in the sector.<br/><br/>Additionally, your mathematical study will make you employable in sectors beyond machine learning, as you’ll be able to show your readiness for careers in finance, analysis, or anywhere that analytical problem-solving is a bonus. <br/><br/>Typical roles<br/><br/>You can expect to apply for roles like “machine learning engineer” or “machine learning scientist”; or, more broadly, titles like “data engineer” or “data scientist”. More generally, you’ll find your ability to build models that learn from data is in demand in sectors such as finance, education, retail, defence, government research.
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Course Details
Information
Study Mode
Sandwich
Duration
4 Years
Start Date
22/09/2025
Campus
Main Site
Provider Details
Codes/info
Course Code
G500
Institution Code
P80
Points of Entry
Year 1, Year 2, Year 3
UCAS Tariff112 120 112-120 points from 2 or 3 A levels, or equivalent, including 40 points from Mathematics. Scottish HigherNot Accepted Access to HE Diploma112-122 Tariff points from the Access to HE Diploma (Mathematics based). International Baccalaureate Diploma Programme29 29 points from the IB Diploma. 655/754 at Higher Level, to include 6 points from Higher Level Mathematics - 29 points from the IB Diploma. 664 at Higher Level, to include 6 points from Higher Level Mathematics. Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)112-120 points to include 40 points from A level Mathematics. Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)GCSE/National 4/National 5GCSE English and mathematics at grade C/4 or above. Pearson BTEC Level 3 National Diploma (first teaching from September 2016)Acceptable when combined with other qualifications. Scottish Advanced Higher112-120 Tariff points to include 40 points from Advanced Level Mathematics. Cambridge International Pre-U Certificate - PrincipalCambridge Pre-U score of 54-56, to include a Principal Subject in Mathematics at M2. Pearson BTEC Level 3 National Extended Certificate (first teaching from September 2016)Acceptable when combined with other qualifications. A levelB,B,B B,B,C 112-120 points from 2 or 3 A levels, including 40 points from Mathematics. T LevelNot Accepted Welsh Baccalaureate - Advanced Skills Challenge Certificate (last awarded Summer 2024)112-120 points from the Advanced Welsh Baccalaureate including 2 A levels one of which must be Mathematics at grade B, plus the Advanced Skills Challenge Certificate. |
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Region | Costs | Academic Year | Year | |
---|---|---|---|---|
EU, England, Northern Ireland, Scotland, Wales, Channel Islands, Republic of Ireland | £9,535 | 2024/25 | Year 1 | |
International | £17,900 | 2024/25 | Year 1 |
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