36 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Mathematics
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Mathematics powers Artificial Intelligence (AI) and underpins the systems that shape our world. From models that predict climate change and track diseases to social media algorithms and generative AI like ChatGPT, mathematics is at the heart of every major innovation. Graduate talent is needed to drive these advancements, and this degree provides you with the analytical, problem-solving and reasoning skills to make an impact in a wide range of sectors.
You will build a strong mathematical foundation, just as you would in a traditional maths degree, whilst also gaining theoretical understanding and hands-on experience of AI, machine learning and real-world modelling.
Working on projects inspired by government and industry, you’ll tackle challenges like predicting floods, stopping infection spread and preventing cyber attacks.
With a degree in Mathematics, Artificial Intelligence and Real-world Systems (MARS), you will have the tools to forge a successful career in technologies that will dictate our futures.
What to expect Our three-year BSc Hons Mathematics, Artificial Intelligence and Real-world Systems (MARS) degree begins by building upon your understanding of mathematical methods and concepts through a mix of lectures and workshops. You will explore a wide range of topics, from differential equations, multivariate calculus for AI and data science, probability and statistics to logic, proofs and theorems. In addition, you will study mathematical modelling and programming, learning the principles of scientific computing and gaining experience working with the R and Python programming languages. You will also learn to apply one of the most fundamental tools in modern AI research, the deep neural network, to real world datasets.
As you progress into Years 2 and 3, you will delve deeper into a range of specialist optional modules and core concepts in linear algebra and probability. You will learn to translate contemporary issues into mathematical problems, and using multivariate calculus and mathematical analysis, you will gain an understanding of the algorithms that have revolutionised machine learning and AI. These tools, along with statistical methods, will help you investigate more advanced mathematical models and their solutions.
To further develop your skills, there is the opportunity to apply your knowledge to real-world problems through exciting, industry-inspired projects, where you’ll work both independently and as part of a team.
Personal development You will develop valuable transferrable skills, such as data analysis, problem-solving and quantitative reasoning, all of which make you highly desirable to future employers. These skills are honed by working in collaboration with fellow students, ruminating on theories before testing them out, delivering presentations and communicating your research results.
Build your portfolio Throughout your degree you will develop a portfolio showcasing how you’ve applied mathematical, machine learning and AI techniques to real-world problems. With support from your academic tutor, the document will evolve as you learn how to highlight your skill set, providing you with a powerful tool to show employers.
3 things our students want you to know:
You will build a strong mathematical foundation, just as you would in a traditional maths degree, whilst also gaining theoretical understanding and hands-on experience of AI, machine learning and real-world modelling.
Working on projects inspired by government and industry, you’ll tackle challenges like predicting floods, stopping infection spread and preventing cyber attacks.
With a degree in Mathematics, Artificial Intelligence and Real-world Systems (MARS), you will have the tools to forge a successful career in technologies that will dictate our futures.
What to expect Our three-year BSc Hons Mathematics, Artificial Intelligence and Real-world Systems (MARS) degree begins by building upon your understanding of mathematical methods and concepts through a mix of lectures and workshops. You will explore a wide range of topics, from differential equations, multivariate calculus for AI and data science, probability and statistics to logic, proofs and theorems. In addition, you will study mathematical modelling and programming, learning the principles of scientific computing and gaining experience working with the R and Python programming languages. You will also learn to apply one of the most fundamental tools in modern AI research, the deep neural network, to real world datasets.
As you progress into Years 2 and 3, you will delve deeper into a range of specialist optional modules and core concepts in linear algebra and probability. You will learn to translate contemporary issues into mathematical problems, and using multivariate calculus and mathematical analysis, you will gain an understanding of the algorithms that have revolutionised machine learning and AI. These tools, along with statistical methods, will help you investigate more advanced mathematical models and their solutions.
To further develop your skills, there is the opportunity to apply your knowledge to real-world problems through exciting, industry-inspired projects, where you’ll work both independently and as part of a team.
Personal development You will develop valuable transferrable skills, such as data analysis, problem-solving and quantitative reasoning, all of which make you highly desirable to future employers. These skills are honed by working in collaboration with fellow students, ruminating on theories before testing them out, delivering presentations and communicating your research results.
Build your portfolio Throughout your degree you will develop a portfolio showcasing how you’ve applied mathematical, machine learning and AI techniques to real-world problems. With support from your academic tutor, the document will evolve as you learn how to highlight your skill set, providing you with a powerful tool to show employers.
3 things our students want you to know:
- Lancaster has received £13 million from Research England to become a leader in the mathematics underpinning AI, meaning you’ll be part of a community delivering solutions to problems in health, industry, cyber security and the environment. This means that what you learn is always evolving and keeping with the pace of innovation
- Our computing and maths societies put on industry talks, guest lectures and career development opportunities
- Mathematical sciences at Lancaster are incredibly collaborative. You will bounce ideas around with experts, as well as with students from all years. There’s even opportunities to talk with and learn from our thriving postgraduate research student community
Programme overview
Main Subject
Mathematics
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Mathematics powers Artificial Intelligence (AI) and underpins the systems that shape our world. From models that predict climate change and track diseases to social media algorithms and generative AI like ChatGPT, mathematics is at the heart of every major innovation. Graduate talent is needed to drive these advancements, and this degree provides you with the analytical, problem-solving and reasoning skills to make an impact in a wide range of sectors.
You will build a strong mathematical foundation, just as you would in a traditional maths degree, whilst also gaining theoretical understanding and hands-on experience of AI, machine learning and real-world modelling.
Working on projects inspired by government and industry, you’ll tackle challenges like predicting floods, stopping infection spread and preventing cyber attacks.
With a degree in Mathematics, Artificial Intelligence and Real-world Systems (MARS), you will have the tools to forge a successful career in technologies that will dictate our futures.
What to expect Our three-year BSc Hons Mathematics, Artificial Intelligence and Real-world Systems (MARS) degree begins by building upon your understanding of mathematical methods and concepts through a mix of lectures and workshops. You will explore a wide range of topics, from differential equations, multivariate calculus for AI and data science, probability and statistics to logic, proofs and theorems. In addition, you will study mathematical modelling and programming, learning the principles of scientific computing and gaining experience working with the R and Python programming languages. You will also learn to apply one of the most fundamental tools in modern AI research, the deep neural network, to real world datasets.
As you progress into Years 2 and 3, you will delve deeper into a range of specialist optional modules and core concepts in linear algebra and probability. You will learn to translate contemporary issues into mathematical problems, and using multivariate calculus and mathematical analysis, you will gain an understanding of the algorithms that have revolutionised machine learning and AI. These tools, along with statistical methods, will help you investigate more advanced mathematical models and their solutions.
To further develop your skills, there is the opportunity to apply your knowledge to real-world problems through exciting, industry-inspired projects, where you’ll work both independently and as part of a team.
Personal development You will develop valuable transferrable skills, such as data analysis, problem-solving and quantitative reasoning, all of which make you highly desirable to future employers. These skills are honed by working in collaboration with fellow students, ruminating on theories before testing them out, delivering presentations and communicating your research results.
Build your portfolio Throughout your degree you will develop a portfolio showcasing how you’ve applied mathematical, machine learning and AI techniques to real-world problems. With support from your academic tutor, the document will evolve as you learn how to highlight your skill set, providing you with a powerful tool to show employers.
3 things our students want you to know:
You will build a strong mathematical foundation, just as you would in a traditional maths degree, whilst also gaining theoretical understanding and hands-on experience of AI, machine learning and real-world modelling.
Working on projects inspired by government and industry, you’ll tackle challenges like predicting floods, stopping infection spread and preventing cyber attacks.
With a degree in Mathematics, Artificial Intelligence and Real-world Systems (MARS), you will have the tools to forge a successful career in technologies that will dictate our futures.
What to expect Our three-year BSc Hons Mathematics, Artificial Intelligence and Real-world Systems (MARS) degree begins by building upon your understanding of mathematical methods and concepts through a mix of lectures and workshops. You will explore a wide range of topics, from differential equations, multivariate calculus for AI and data science, probability and statistics to logic, proofs and theorems. In addition, you will study mathematical modelling and programming, learning the principles of scientific computing and gaining experience working with the R and Python programming languages. You will also learn to apply one of the most fundamental tools in modern AI research, the deep neural network, to real world datasets.
As you progress into Years 2 and 3, you will delve deeper into a range of specialist optional modules and core concepts in linear algebra and probability. You will learn to translate contemporary issues into mathematical problems, and using multivariate calculus and mathematical analysis, you will gain an understanding of the algorithms that have revolutionised machine learning and AI. These tools, along with statistical methods, will help you investigate more advanced mathematical models and their solutions.
To further develop your skills, there is the opportunity to apply your knowledge to real-world problems through exciting, industry-inspired projects, where you’ll work both independently and as part of a team.
Personal development You will develop valuable transferrable skills, such as data analysis, problem-solving and quantitative reasoning, all of which make you highly desirable to future employers. These skills are honed by working in collaboration with fellow students, ruminating on theories before testing them out, delivering presentations and communicating your research results.
Build your portfolio Throughout your degree you will develop a portfolio showcasing how you’ve applied mathematical, machine learning and AI techniques to real-world problems. With support from your academic tutor, the document will evolve as you learn how to highlight your skill set, providing you with a powerful tool to show employers.
3 things our students want you to know:
- Lancaster has received £13 million from Research England to become a leader in the mathematics underpinning AI, meaning you’ll be part of a community delivering solutions to problems in health, industry, cyber security and the environment. This means that what you learn is always evolving and keeping with the pace of innovation
- Our computing and maths societies put on industry talks, guest lectures and career development opportunities
- Mathematical sciences at Lancaster are incredibly collaborative. You will bounce ideas around with experts, as well as with students from all years. There’s even opportunities to talk with and learn from our thriving postgraduate research student community
Admission Requirements
38+
87+
6+
176+
58+
3 Years
Sep
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