Curious about studying MSc Financial Technology (FinTech)at University of Salford? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
Peel Park
Full Time
Sep 2027
1 Year
Our MSc Financial Technology programme is perfect if you want to learn, work, and innovate in modern finance. Fintech combines technology, economics, regulation and change management in finance. You'll learn Python and Power BI from scratch and learn how to use these tools on financial data. You will have the opportunity to achieve Microsoft Azure certifications and see how cloud and edge computing are transforming the business computing landscape. You'll also learn about marketing, regulation, economic policy and financial governance. Address gaps from the rapid growth of technology in financial services and markets. Understand the latest needs in risk, insight, and how technology benefits FinTech companies. Study blockchain, cryptocurrency, crowdfunding, regtech, insurtech, fintech lending and crime detection. Gain the expertise to develop disruptive FinTech innovations. Consider how digital innovation helps make financial services more inclusive, accessible, streamlined and better aligned with consumer values. Learn a range of established Big Data and analytics techniques to critically analyse information and propose solutions This programme is for you if you're passionate and ambitious about starting a career in areas like data analytics, cloud technologies and machine learning in finance. It includes input from students and industry experts, focusing on practical teaching and learning.
In this module, you will learn Power BI, a powerful data visualisation/business analytics service from Microsoft. In Power BI, you can import and merge data from multiple sources, including the cloud, and construct interactive, rich, dynamic visualisations and dashboards with an intuitive interface. Features on Excel are extended in Power BI, hence more advanced visual approaches are possible without having any coding skills. The module will provide hands-on Power BI training so you can extract insights from big data from multiple sources using graphs, tables, and maps and make interactive dashboards.
This module will equip you with the ability to analyse the FinTech industry. The module focuses on the external factors affecting this industry, including the economic and regulatory environment, micro and macro risks and how to mitigate these. You will be given plenty of opportunities to extract policy and managerial implications relevant for FinTech firms.
FinTech companies heavily depend on machine learning, artificial intelligence, predictive analytics and data science to simplify financial decision-making and optimise solutions. In this module, you will learn and apply a range of established Big Data and analytics techniques to critically analyse information and propose solutions to FinTech and other financial sector problems. You will gain a core set of skills and expertise in relevant programming languages and computational modelling skills such as Python and artificial intelligence and data mining to generate data-driven insights for new and existing financial services and products. On successful completion of the module you will not only be able to collect and analyse data to underpin business decisions, but also be able to work effectively in the development of innovative FinTech data analytics technologies.
Technological innovation is changing the way businesses operate and how they deliver products and services. Financial technology (FinTech) companies are transforming the financial services sector, providing new financial products and a seamless customer experience. In this module, you will gain a multi-dimensional perspective on what FinTech means and gain the expertise to develop disruptive FinTech innovations. You will: Look at how to identify and work with different products and services involved in the FinTech financial ecosystem; Apply enabling technologies to potentially create new financial services and products; Learn cutting-edge programming languages used in FinTech data analytics. On successful completion of the module you will not only be able to work effectively in the development of innovative FinTech technologies, but also contribute finance and business insights and understand the big picture.
After completing the core modules, you will then undertake a 60-credit project, choosing from the following: - Internship - Placement - Project
This module gives students the basic foundations of how modern capital markets function. The main objectives of the module are to: Provide insight into the basic mechanics of capital markets and the different types of submarkets; Give you an understanding of the different types of financial products that are available and how they are traded; explore different models that can be used to understand the behavior of capital markets and how they can be tested empirically; Use modern econometric methods such as time series analysis and high frequency data to explore the behavior of financial market instruments in practice.
The module will equip you with the skills of interpreting how disruptive FinTech innovations are developed, using appropriate tools and techniques. You will discuss the future of money, economy and financial marketplaces. You will look at both theoretical and practical understanding of how the financial services industry has been transformed through the adoption and use of digital innovation and information technologies. More specifically the module will look at blockchain, cryptocurrency, payment infrastructures, digital economy, FinTech ecosystem and crime detection, forensic analytics.
4.2The University of Salford is an innovative, modern university located in the metropolitan county of Greater Manchester. ...
