Financial Analytics

Financial analytics arms decision makers with the tools to make sense of an increasingly complex world. By combining internal financial information and operational data with external information such as social media, demographics and big data, financial analytics may address critical business questions with unprecedented ease, speed, and accuracy.



The Master of Science (MSc) in Financial Analysis has been designed to meet the growing need for financial professionals with the practical skills required for a rapidly evolving data driven financial function. Upon completion of this programme, graduates will understand the core principles of finance, be equipped to utilise data analytics, machine learning, and visualisation tools, apply the appropriate financial analytic models, and acquire enhanced understanding of business decision making in an ethical and cyber context.



Both full time and part time programme options are designed to facilitate learners with a Mathematic/Economic/computing/technology background who wish to upskill in this new and emerging area of Financial Analytics. Students can opt to take the theory and practical modules only and not complete the dissertation.

The Master of Science (MSc) in Financial Analytics has the following content:



Stage One

Principles of Financial Decision Making

Data Analytics & Machine Learning for Finance

Predictive Financial Modelling

Applied Financial Analytics

Financial Intelligence & Data Visualisation

Information & Cybersecurity Management

Financial Risk Management

Behavioural Economics & Finance

Innovation in Financial Technology



Stage Two

Applied Research Methods

Applied Research Project

Entry Requirements



The minimum entry requirements for the Master of Science (MSc.) in Financial Analytics are:



A Level 8 primary cognate degree with a minimum second-class second-division (2.2) classification from a recognised third level institution. Cognate subjects include business, accountancy, computing, information systems, engineering, general science, mathematics, statistics, data analytics or related discipline.



Graduates of any non-cognate discipline and hold a qualification in a conversion-style programme such as the DBS Higher Diploma in Science in FInTech



For applicants whose first language is not English and who have not previously undertaken a degree taught through English, evidence must be provided of proficiency in English language equivalent to B2+ or above on the Common European Framework of Reference for Languages (CEFRL). This must be evidenced through a recognised English Language test such as IELTS, Cambridge Certificate, PTE or DBS English Assessment. Test certificates should be dated within the last two years to be considered valid.



Applicants who do not have a Level 8 qualification in a cognate area and who have at least 3 years’ work experience may also be considered through the college’s normal RPL procedures. Relevant professional experience may be taken into account and individuals will be assessed on a case-by-case basis through DBS RPL procedures.

Full-time: 1 Year, Part-time: 2 Years.



This programme is taught on a hybrid basis. This means learners are timetabled either in-class or online, in a mix of online and in-class days.

Next intake dates: September 2026

Career Opportunities

The Chartered Global Management Accountant’s (2019) “Re-inventing finance for a digital world”; found that financial analytics can enable better decision making across a business by providing accurate, timely and high quality data analysis which supports improved planning and forecasting capabilities.



Graduates from the Master of Science (MSc) in Financial Analytics programme will have the potential to work in a wide range of industries, such as:



• Accountants - Financial or Managerial

• Financial Analyst

• Corporate Finance

• Treasury Operations/Analyst

• Portfolio Manager

• Business Analyst

• Business Intelligence

• Consultant

• Private Equity Analyst (VC)

• Entrepreneur and/or Innovator