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Mathematics is an incredibly powerful subject that sits at the foundation of all science and technology. Our world is technologically advancing at a rapid pace thanks to the application of mathematics in areas such as cyber security, health, environmental science, and engineering. Graduate talent is desperately needed to drive these innovations which will soon be commonplace in all aspects of our lives. With this degree, you will have the tools to forge a successful and rewarding career in technologies that will dictate our futures.**What to expect**This 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, vector calculus, probability and statistics to logic, proofs and theorems. In addition to this, computing skills are essential, which is why you will learn the principles of scientific computing and gain experience working with the R and Python programming languages.As you progress into Years 2 and beyond, you will delve deeper into a range of specialist optional modules alongside covering key concepts in linear algebra, and probability. You will learn to translate contemporary issues into mathematical problems and develop the knowledge and techniques needed to create solutions. Tools such as multivariate calculus and mathematical analysis will be used to understand the algorithms that have revolutionised machine learning and artificial intelligence. This will enable you to explore machine learning, AI, and statistical methods, with the ability to investigate more advanced mathematical models and their solutions. As part of this, you will undertake substantial industry-inspired projects, working as an individual and as part of a small group.**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 and testing them out, delivering presentations and communicating your research results. **A supportive community**To help you transition from A-level to degree-level study, the School of Mathematical Sciences hosts weekly workshops, problem-solving classes, and one-to-one sessions. If you wish to engage with mathematics beyond that, the MathSoc hosts a weekly Maths Cafe that includes access to academic support and a casual space to chat with other students.**3 things our students want you to know:**- Lancaster has received £13million 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, or with students from all years. Our thriving postgraduate research student community has been right where we are, asking the same questions, and there’s even opportunities to talk with them and learn from them**Important Information**For the most up-to-date course information and more details, we recommend th
