Finance and Big Data Analytics Swansea University

Overview

The MSc in Finance and Big Data Analytics at Swansea University is a postgraduate taught degree that blends financial expertise with advanced data analytics skills to prepare you for careers at the intersection of finance and data science. You’ll study core finance topics such as investment analysis, corporate finance, risk management and financial markets, alongside big data tools and techniques including machine learning, predictive analytics, data mining and statistical modelling. The programme emphasises practical application so you can analyse large financial datasets, interpret trends, build predictive financial models and make data-driven decisions.

Why Finance and Big Data Analytics at Swansea?

Swansea University’s MSc in Finance and Big Data Analytics stands out due to its comprehensive curriculum and strong industry connections. The programme is delivered by esteemed faculty members with both academic and practical experience, ensuring that students gain relevant knowledge and skills. The School of Management is located in a state-of-the-art facility on the Bay Campus, which is designed to foster collaboration and innovation. The university's accreditation by AACSB International further enhances its reputation, making it a leader in business education. The programme is also accredited by the Association of Chartered Certified Accountants (ACCA), allowing students to gain exemptions from up to three ACCA Fundamental exams based on prior learning. This accreditation not only validates the quality of the course but also provides students with a significant advantage in the job market.

Tuition Fee Breakdown

For international students, the tuition fee for the MSc in Finance and Big Data Analytics is £22,300 per year. For UK students, the fee is £13,450 per year. Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is structured to provide a robust foundation in both finance and data analytics, comprising a mix of compulsory and optional modules. Students are required to complete 180 credits, which include the following compulsory modules:

• Finance and Financial Markets
• Quantitative Methods in Finance
• Programming for Finance
• Applied Data Analytics
• Big Data in Finance
• Independent Research Project

Additionally, students can select one optional module from:

• Financial Derivatives and Risk Management
• Blockchain Technology in Finance

Industry Demand

The integration of finance and big data analytics is increasingly relevant in today's job market, with businesses across various sectors seeking professionals who can leverage data to inform financial decisions. Graduates of this programme will be well-equipped to meet the demands of industries such as investment banking, management consultancy, and data analysis.

Careers with Finance and Big Data Analytics

Alumni of the MSc in Finance and Big Data Analytics have successfully secured positions in major multinational companies. Graduates typically pursue careers in investment banking, senior finance roles, management consultancy, and government sectors. The programme's focus on practical skills and industry connections enhances employability, making graduates attractive to employers looking for strategic thinkers with a strong grasp of financial principles and data analytics.