Statistics

University of Nottingham

Statistics plays an essential role in data analytics, healthcare modelling and artificial intelligence. On this accredited degree, you will learn the fundamentals of statistics and data analysis and study advanced techniques in probability and uncertainty modelling. You'll also explore core areas of applied statistics.You can tailor your choice of optional modules to suit your interests and career plans. You can even choose subjects, such as a language, that will broaden your skills and enhance your CV further.**Courses for students, by students**Our co-created curriculum is redefining studying maths. Imagine being part of a vibrant community where students have actively shaped the degree programmes. We believe in collaboration, and that's why our students, industry professionals, and alumni joined forces with our dedicated staff to design degrees suitable for the real world. As you would expect there is emphasis on mathematical concepts and techniques, but with a practical application too.Want to find out more?**About statistics at the University of Nottingham**Our lecturers are experts in data analysis and modelling. You'll learn from them through a combination of lectures, problem classes and tutorials. You will put the statistical and probability theory you've learnt into practice. Working in our computer labs will give you hands-on experience of using statistical software.You can expand your skills even further with a work placement opportunity. Alternatively you may choose to spend time overseas by applying to study for a semester abroad.**Putting your skills into practice**There are many opportunities to work collectively with other students and academic staff to tackle complex problems from industry and academia. We work closely with our industrial partners and alumni to ensure the course is aligned to employer needs, so you can enter the workplace confident in the skills and knowledge you have gained.**Why choose this course?**+ **Attend guest lectures** join talks and workshops run by our Industrial Advisory Group and alumni+ **Hands-on experience** through optional work placement year+ **Transferable skills** in group work, presentations and projects+ **Spend time abroad** opportunities to gain confidence and amazing experiences+ **PASS** students in higher years help with first-year topics and support you to settle in: Peer-Assisted Study Support programme+ **Learn a language** broaden your career options by learning a language alongside your degree

School of Mathematical Sciences