Mathematics, Artificial Intelligence, and Real-world Systems (MARS) (Placement Year) 48 months Undergraduate Programme By Lancaster University |TopUniversities

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 four-year BSc Hons Mathematics, Artificial Intelligence and Real-world Systems (MARS) (Placement Year) 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.
Your placement In Year 3, you will undertake a placement that will enable you to apply the knowledge and skills learnt so far and gain invaluable experience that will then inform your studies in Year 4 and your career beyond.
Although it’s up to you to find your placement, we will support you all the way. Our Careers Service will provide guidance on CVs, applications, interview techniques and creating a digital profile.
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. With a year’s experience added to your CV, you will be a standout graduate.
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.

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 four-year BSc Hons Mathematics, Artificial Intelligence and Real-world Systems (MARS) (Placement Year) 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.
Your placement In Year 3, you will undertake a placement that will enable you to apply the knowledge and skills learnt so far and gain invaluable experience that will then inform your studies in Year 4 and your career beyond.
Although it’s up to you to find your placement, we will support you all the way. Our Careers Service will provide guidance on CVs, applications, interview techniques and creating a digital profile.
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. With a year’s experience added to your CV, you will be a standout graduate.
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.

Admission Requirements

58+
6+
38+
87+
176+

4 Years
Sep

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