Learn why Global Finance Analytics is becoming essential in modern finance, and how studying it can help you build in demand analytical skills for emerging roles.
Find out why you should study Global Finance Analytics at King’s, which ranks 14th UK-wide for accounting and finance studies (The Guardian, 2026).
The financial services sector is going through one of the biggest transformations in its history.
Traditional financial expertise remains essential, but it isn't sufficient on its own anymore. As big data, artificial intelligence (AI), and machine learning rapidly reshape global markets, organisations need professionals who can combine financial knowledge with advanced analytical skills. For forward-looking finance professionals, the question is no longer whether to upskill in analytics. It's how quickly they can adapt to remain competitive.
Recent research shows why: AI adoption in finance has surged, with a 2024 survey by Gartner reporting that 58% of finance functions now use AI tools. This is more than double the rate reported just a year earlier. The results of a 2025 survey conducted by Multiverse revealed that 54% of financial services organisations need enhanced AI capabilities to scale effectively. Today's industry reports all underscore a widening skills gap.
A Global Finance Analytics MSc helps you work effectively with AI in finance by building the analytical and computational skills needed to understand, evaluate, and apply AI models in practice. Rather than treating AI as a black box, you learn to use data-driven tools for forecasting, risk management, and investment decision-making, ensuring your skills remain relevant as financial services evolve.
Discover how a Global Finance Analytics MSc can future-proof your finance career and unlock exciting new roles.
Finance is changing, and the skills gap is widening
The industry has moved beyond just relying on intuition, experience, and historical patterns to make decisions. Today’s financial institutions operate in a world defined by data abundance. Big data, AI, and machine learning influence investment decisions, guide risk modelling, and shape strategic forecasting.
Investment firms use algorithmic systems that scan vast quantities of information in milliseconds. Risk management teams apply machine learning models to detect anomalies and anticipate emerging threats. Strategic forecasters leverage AI to draw insights from economic indicators and market behaviour. Firms can even monitor their public reputation using data sources like sentiment extracted from online communications.
Yet despite this surge in adoption, only 37% of financial organisations report achieving transformative results from AI initiatives (Multiverse, 2025). This highlights an urgent need for professionals who can convert AI and analytical tools into real strategic impact.
But this isn't just an evolution of tools. It's a structural shift. Finance is transitioning from intuition-led choices to rigorous, data-driven analysis. Institutions that embrace this transformation are more agile, more accurate, and more competitive. And the long-term pattern is clear: those who master the interplay between finance and analytics will shape the industry's future.
Why finance and analytics matters
Understanding financial statements, market fundamentals, and valuation principles will always be vital. But today's financial landscape demands much more than this. It demands the ability to interrogate complex datasets, build predictive models, and extract insights from quantitative evidence.
With analytics knowledge, professionals can bridge a widening skill gap. For example, 80% of CFOs say data storytelling is now an essential skill for modern finance teams. Meanwhile, 73% of finance professionals believe data visualisation capabilities are crucial for FP&A managers. These expectations reflect a broader industry shift where analytics is central to driving strategic influence.
With analytics knowledge, professionals can:
- Spot patterns across global markets that conventional analysis methods may not reveal.
- Validate or challenge financial theories using real data.
- Identify inefficiencies, correlations, and emerging risks with precision.
- Build optimised portfolios informed by sophisticated modelling methods.
- Communicate evidence-based insights clearly to senior stakeholders.
This blend of financial acumen and analytical capability gives you a powerful advantage. You’re not simply interpreting what has happened. You’re predicting what might happen next. This dual fluency is what employers are looking for across the board in today's financial services landscape.
How the Global Finance Analytics MSc supports this evolution
We've designed our Global Finance Analytics MSc for finance professionals looking to navigate this fast-changing environment and address skill gaps. Since our programme is 100% online and part-time, you can build in-demand analytical and computational skills without interrupting your career.
Where finance meets advanced analytics and programming
Our programme brings together core finance principles and applied analytics in a way that mirrors the realities of today’s industry. You’ll develop hands-on proficiency with industry-standard programming languages, including R and Python. You'll also learn about the analytical and computational methods used across major financial institutions.
Core modules like Quantitative Methods for Finance and Banking introduce foundational statistical techniques that are essential for empirical financial analysis. Introduction to Statistical Programming develops your coding skills. Introduction to Big Data Analytics and Big Data and Deep Learning then take you into advanced territory ranging from high-dimensional regression to neural networks and contemporary forecasting techniques.
Modules like Computational Finance apply these concepts directly to valuing derivatives and managing financial risk, using modern simulation and modelling approaches. Throughout the programme, you’ll engage with real-world data, test investment strategies, and build computational models that reflect industry practice.
Career outcomes and professional development
Joining our Global Finance and Analytics MSc programme means building skills that align with current and future industry demand. You'll gain in-depth knowledge of areas ranging from statistical analysis and modelling to machine learning, and quantitative finance. These skills are valued across a wide range of financial settings, and support progression into roles such as:
- Risk Analyst
- Quantitative Risk Manager
- Investment Analyst
- Portfolio Manager
- Asset Manager
- Financial Data Analyst
- FinTech Analyst
- Quantitative Analyst
- Financial Engineer
- Compliance Analyst
- Regulatory Consultant
Far from being limited to niche functions, these skills are highly transferable across global banking, investment firms, consultancy organisations, and regulatory bodies. They're especially valuable in rapidly expanding FinTech environments. Whether you want to advance within your current institution or pivot into a more technical path, the programme equips you with the tools to do so. It also supports professionals looking to broaden their scope and explore new opportunities.
An online MSc focused on Global Finance Analytics
The Global Finance Analytics MSc is a fully online, part-time programme designed for working professionals who need flexibility. You can continue earning while applying advanced finance and analytics skills directly to your role. Learning alongside an international cohort provides exposure to global markets, regulatory frameworks, and institutional practices.
As finance evolves, professionals with strong financial and analytical expertise are well placed to lead in investment strategy, risk management, FinTech, and policy. The Global Finance Analytics MSc equips you with the practical skills, global perspective, and flexible structure to prepare for these roles:
