Financial Analytics

Entry requirements

Students must attain a 2:2 (or overseas equivalent) in an undergraduate degree that has included a range of modules in accounting/finance or quantitative/statistical methods. This need not necessarily be a degree with accounting or finance in the title. We would also be willing to consider those with other backgrounds and work experience in the sector.

We consider all applications on their merits and will look at each individual case before making an offer so students who fall slightly short of the entry criteria should still apply to the School of Management.

Months of entry

September

Course content

Our MSc in Financial Analytics has been designed in response to the rapid evolution of the finance and investment industry. With advances in technology, financial firms now have access to vast amounts of data, making data analytics a critical component for staying competitive in today’s data-driven world.

This programme meets the growing demand for finance professionals with strong quantitative, statistical, and technical skills. Throughout your studies, you will learn how to harness big data and analytics tools, develop programming skills in languages such as Python and R, and apply advanced financial models to real-world scenarios. You will also enhance your ability to think critically, make informed decisions, and gain a solid understanding of the financial services sector.

You will have access to our Finance Lab trading suite, equipped with industry-standard databases and analytics platforms, giving you hands-on experience with the tools used by leading financial institutions.

Our MSc course is ideal if you have a background in finance, economics, or quantitative/statistical methods and want to build expertise in financial analytics. You will also benefit from industry engagement through guest talks and networking opportunities, helping you connect your learning to real-world practice.

Why Financial Analytics at Swansea?

The MSc Financial Analytics programme is designed for graduates of finance-related subject areas, who are seeking to undertake a specialist programme that will accelerate their career opportunities in finance.

Throughout this course, you will learn from academics who combine research expertise with practical insight, ensuring your studies reflect the latest developments in financial technology and analytics.

You will study at our modern Bay Campus, home to the sector-leading £22million School of Management, and benefit from a vibrant, collaborative environment that values innovation and global perspectives.

When studying this MSc, you will have access to our state-of-the-art Finance Lab trading suite, where you can work with industry-standard databases and analytics platforms in a hands-on setting. Beyond the classroom, our strong links with employers and professional bodies provide opportunities for guest lectures, networking events, and real-world case studies, helping you connect your learning to industry practice.

With our focus on employability, digital fluency, and inclusive learning, you will graduate with the skills, confidence, and connections to thrive in a data-driven financial world.

We work in collaboration with the Certificate in Quantitative Finance (CQF) Institute, giving you free membership and access to their monthly newsletter, along with the latest CQF Institute resources, including events, research, career tools, workshops and thought leadership content.

Your Financial Analytics Experience

The MSc Finance programme is grounded in the belief that future finance professionals must be equipped, not only with technical expertise, but also with the critical thinking, ethical awareness, and global perspective necessary to navigate the complexities of modern financial systems.

This programme is designed to develop you into an intellectually agile graduate, who can apply advanced financial theories and tools to real-world challenges in financial analytics, risk management, and financial markets.

As a student on the MSc Financial Analytics, you will experience a learning environment that is interactive, applied, and designed to build confidence in tackling complex financial challenges. Your studies will combine theory with practical application through programming labs, data analytics workshops, and case-based discussions that mirror real-world scenarios. These sessions will help you master tools such as Python and R, apply advanced financial models, and interpret large-scale datasets with precision.

You will be part of a diverse, inclusive community where ideas are shared and global perspectives are valued. Regular opportunities for reflection and feedback will help you track your progress and refine your skills, while personal tutoring and academic support ensure you feel guided throughout your journey.