Finance and Big Data Analytics, MSc

Enhance your Analytical Skills

students

Course Overview

Are you looking to shape the future of finance and data? Our MSc Finance and Big Data Analytics gives you the tools to analyse markets, manage risk, and drive innovation. 

Our MSc Finance and Big Data Analytics course at Swansea University is designed to integrate the key principles of finance and data analytics, equipping you with the knowledge and technical skills to make data-driven financial decisions and analyse complex market dynamics.  

Reflecting on the evolving demands of the global finance sector, the programme provides a strong foundation in financial markets, quantitative methods, and big data applications, which will prepare you for a dynamic career in the financial industry, including roles working as a  financial analyst, risk management specialist, or data analytics consultant.  

By studying this course, you will be able to engage critically with ethical, social, and sustainability considerations related to the use of big data in finance, promoting responsible and informed decision-making. 

This one-year conversion programme welcomes students from any background. This means you don’t need to have a background in accounting, finance or business to study this one-year course. The curriculum builds on undergraduate learning and enables you to transition rapidly into professional careers in finance, data analytics, or related fields anywhere in the world. 

Why Finance and Big Data Analytics at Swansea?

Choosing Swansea means joining a university with a global reputation for finance education and a commitment to preparing graduates for the future of the industry. Our MSc Finance and Big Data Analytics is taught by academics who combine research expertise with practical insight, ensuring your learning reflects the latest developments in financial technology, big data, and analytics. 

You will study at our modern Bay Campus, home to our £22 million School of Management, and benefit from a vibrant, collaborative environment that values innovation and global perspectives. This conversion programme is designed for graduates from any discipline, so you don’t need a background in finance to succeed. 

Digital technology is embedded throughout the programme, giving you access to industry-standard software, programming tools, and data visualisation platforms to analyse real financial datasets and develop practical technical skills. 

Beyond the classroom, you will benefit from our strong links with professional bodies and employers. Utilising our close affiliations with professional bodies including the Chartered Financial Analyst (CFA) Institute, the Chartered Banker Institute, and other leading organisations, you will gain the opportunity to network, attend guest lectures, and engage with industry. 

With our focus on employability, ethical practice, and sustainability, you will graduate with the skills, confidence, and connections to thrive in a data-driven financial world. 

The programme is accredited by the Association of Chartered Certified Accountants (ACCA) providing several exemptions. The School of Management also has strong links with the Chartered Financial Analyst (CFA) Institute, the Chartered Banker Institute, the Chartered Institute of Management Accountants (CIMA), the Chartered Institute for Securities and Investment, and the Institute of Chartered Accountants in England and Wales (ICAEW). This close affiliation with professional bodies will enhance your career prospects, giving you a competitive advantage in the global job market. 

Your Finance and Big Data Analytics Experience

From the moment you arrive at the School of Management we will work with you to help build your skills and experience to enhance your career prospects. 

When you join our MSc Finance and Big Data Analytics, you will experience a learning environment that is interactive, inclusive, and designed to prepare you for the realities of a data-driven financial world.  

Based at our modern Bay Campus, you will benefit from state-of-the-art facilities and a collaborative atmosphere that encourages innovation and global thinking. Your studies will combine theory with practical application through programming workshops, data analytics labs, and case-based learning that mirrors real-world financial challenges.  

You will develop technical skills in tools such as Python, SQL, and data visualisation platforms, while building confidence in applying financial models and interpreting complex datasets. 

Digital technology is embedded throughout the programme, giving you access to recorded lectures, interactive resources, and collaborative online spaces via Canvas. This flexibility allows you to learn at your own pace while engaging in group projects and discussion forums that foster teamwork and problem-solving. 

You will be part of a diverse, international cohort, sharing ideas and perspectives that enrich your understanding of global finance. Regular opportunities for feedback and reflection will help you track your progress, while personal tutoring and academic support ensure you feel guided throughout your journey. 

By the time you graduate, you will have more than technical expertise, you will have the adaptability, critical thinking, and professional confidence to thrive in fast-changing financial environments worldwide. 

Finance and Big Data Analytics Employment Opportunities

We have an excellent track record of placing graduates with major multinational companies, and your MSc Finance and Big Data Analytics will give you a competitive edge in a rapidly evolving industry.  

With Association of Chartered Certified Accountants (ACCA) accreditation, you can demonstrate to employers that you have strong financial knowledge, technical expertise, and the strategic thinking needed to succeed in complex business environments. 

Graduates of this programme are highly sought after across a wide range of industries, including finance and banking, technology and fintech, consulting, healthcare, e-commerce, manufacturing, government, and energy. This degree equips you with the ability to translate complex data into actionable business and financial strategies, making it highly versatile and future-proof. 

Typical career paths include roles such as a: 

  • financial analyst, data scientist, quantitative analyst, business intelligence manager, risk analyst, and machine learning specialist.

Many graduates also progress into senior positions such, perhaps as a Chief Data Officer or Chief Technology Officer, or move into consultancy and project management roles where data-driven decision-making is key. For those interested in research or academia, the programme provides an excellent foundation for further study, including PhDs in finance or economics. 

By combining advanced financial knowledge with innovative data analytics skills, this MSc opens doors to careers in investment banking, asset management, fintech, and beyond, preparing you to thrive in a global, data-driven financial landscape.

Modules

We're currently reviewing our curriculum to enhance your learning experience and embed skills that will benefit your future career. This means that some modules may be subject to change.

Entry Requirements

We consider all applicants on their own merits and welcome applications from students with a wide range of qualifications.