The modules on our Digital Finance and Artificial Intelligence MSc programme have been carefully put together to give you the most up-to-date and relevant set of skills and knowledge for progressing in your chosen career. For more information about part-time study patterns, please contact the School/Department.

Compulsory modules

The aims of this module are to:

  • Understand the core concepts and principles related to finance, including financial markets, instruments and practices.
  • Familiarise with the roles of different financial institutions and their products.
  • Equip students with the fundamental knowledge in corporate finance and investments.

The aim of this module is to provide the students with an understanding and programming skills for for solving practical problems in different applications.

The aims of this module are to:

  • Introduce students to the foundational concepts of data processing and their use in Artificial Intelligence (AI).
  • Enable students to gain background knowledge necessary to understand and develop different algorithms in AI and Data analytics.

The aim of this module is to give students an opportunity to explore grand challenges facing our global society and to propose imaginative solutions to specific challenges in one or more country.

Students will critically reflect on the United Nations Sustainability Development Goals and think about how Loughborough University's Creating Better Futures. Together Strategy might contribute to them.

Students will engage with ideas and approaches to possible solutions from their own programme and gain diverse insights from Loughborough University London's interdisciplinary ecosystem. This will involve solution-oriented thinking and a balance between criticality and possibility, leading to a deep understanding of grand challenges and imagining creative responses to them.

Compulsory modules

The aims of this module are to:

  • Develop a broad understanding of disruptive financial technologies and their practical use in modern financial applications.
  • Provide students with key analytics and machine learning knowledge required by data-driven models of financial services provision.
  • Introduce students to the concept of blockchain and develop understanding of cyber security and data protection in digital finance systems; money evolution characteristics and functionality; the evolution of InsurTech industry; decentralisation of the financial system that includes Crowdfunding and other P2P lending; digital payments transformation, and Regulation Policy and its impact on the Financial sector.
  • Equip students with essential skills required to operate in the existing and emerging fintech sectors.

The aims of this module are to give the student the opportunity to study a subject, business problem or research question in depth and to research the issues surrounding the subject or background to the problem.

The module will equip the student with the relevant skills, knowledge and understanding to embark on their individual research project and they will be guided through the three options available to them to complete their dissertation:

  • A desk based research project that could be set by an organisation or could be a subject of the student's choice.
  • A project that involves collection of primary data from within an organisation or based on lab and/or field experiments.
  • A full professional placement within an organisation during which time they will complete a project as part of their role in agreement with the organisation (subject to a suitable placement position being obtained).

Students will achieve a high level of understanding in the subject area and produce a written thesis or project report which will discuss this research in depth and with rigour.

Optional modules

Choose one of:

The aim of this module is to provide the students with the necessary knowledge and technical details of information systems security properties, mechanisms, protocols, management and applications that are widely in use.

The aims of this module are to:

  • Introduce students to the fundamentals of business intelligence and its application to business decision making in the context of the digital economy.
  • Introduce students to the leading data mining methods and their application to real-world problems.
  • Provide students with a core understanding of the common algorithms in data mining and its utilisation on data and resources available relevant to business intelligence.
  • Equip students to further explore application areas beyond the module coverage.
  • Provide students with an understanding of the size and versatility of the digital economy.

The aim of this module is to examine the evolving societal consequences of artificial intelligence and to explore how governments, international organisations and civil society groups are trying to create safe, secure, and trustworthy artificial intelligence systems.

This module aims to provide a comprehensive understanding of the principles, architectures, and applications of Generative Artificial Intelligence (AI) and Large Language Models (LLM).

It equips students with the knowledge and skills to design, implement, and evaluate generative models for text and image generation. Students will explore the evolution of neural networks, probabilistic and transformer-based models, and gain practical experience in applying tools and frameworks for developing generative AI systems.

The module also enables students to critically assess the ethical, social, and technical implications of deploying large-scale generative models across diverse domains.

Choose one of:

The aim of this module is to equip students with the statistical and quantitative techniques necessary to conduct studies in the area of applied finance and economics.

The aims of this module is to equip students with advanced programming skills necessary for developing artificial intelligence systems, and for visualising big datasets.

Choose one of:

The aims of this module are to:

  • Provide students with an opportunity to be exposed to project-based teamwork in diverse settings (understood in this context as involving a range of multidisciplinary, multicultural and demographic elements in differing configurations), aiming to strengthen their cooperative and collaborative working skills and competence, while raising awareness and appreciation of diversity itself.
  • Provide students with hands on experience of identifying, framing and resolving practice oriented and real-world based challenges and problems, using creativity, critical enquiry and appropriate tools to achieve valuable and relevant solutions.
  • Support the development of students' ability to engage in critical enquiry and individual reflection, as well as to apply individual strengths and skills, building on their own educational backgrounds.
  • Provide students with opportunities for networking with stakeholders, organisations and corporations, aiming to enhance the competence and skills needed to connect to relevant parties and build up future professional opportunities.

The aim of this module is to provide the students with an overview of the cloud technology with a special emphasis on cloud applications and the associated challenges.

The aims of this module are to introduce students to games technology concepts, basic game architectures and tools, fundamental theories and common practices in game software development, essential knowledge of game-related digital media rendering, game creation packages and their use in digital creative media design and development processes, state-of-the-art methods in capturing and processing of 3D audio and video.

Compulsory module

The aims of this module are to give the student the opportunity to study a subject, business problem or research question in depth and to research the issues surrounding the subject or background to the problem.

The module will equip the student with the relevant skills, knowledge and understanding to embark on their individual research project and they will be guided through the three options available to them to complete their dissertation:

  • A desk based research project that could be set by an organisation or could be a subject of the student's choice.
  • A project that involves collection of primary data from within an organisation or based on lab and/or field experiments.
  • A full professional placement within an organisation during which time they will complete a project as part of their role in agreement with the organisation (subject to a suitable placement position being obtained).

Students will achieve a high level of understanding in the subject area and produce a written thesis or project report which will discuss this research in depth and with rigour.