FDS Programme Syllabus

A Summary of Modules

Module 1 Data Analysis and Modelling
Module Profile “Intermediate”

With respect to the increasing flood of data, the science of handling, interpreting and visualising data effectively is one of the key skills underpinning many of today’s work roles. However, there is a well-known trade-off between a pure data scientist holding methodical expertise on one side and domain experts on the other side. That is, knowing about the inherent value and information the data may contain. 

In this Module, we discover both sides to overcome this problem. Students gain an insight into the different types of financial data as well as the way of thinking of data scientists. This provides students with tools and skills that enable them to go deeper into the field of financial data science and to better cooperate with data-driven departments in their later work roles.

Module 2 Python for Business Analytics
Module profile: “Intermediate”

Python was initially adopted by the financial industry as the main programming language for financial analysis, auto trading, back testing and investment management. Python has excellent, easy to use libraries. The main objective of the Module is to focus on Python for Business Data Analysis. Python extends to all business practices and a good understanding will be built of the processes and opportunities through analysis. The Module has been created for students with no previous knowledge of programming and will start from a basic level.

Module 3 Fintech Disruption and Transformation – The Internet of Things
Module profile: “Intermediate”

Fintech refers to business systems and processes that are technology-based and innovative. Fintech innovates in all areas of finance from trading, analytics, back-office, supply chains, customer service, HR and logistics, and ways in which these technologies continue to disrupt finance and business should be better understood. Fintech has revolutionized the ways in which businesses run core systems and processes, organise their workers and manage their supply chains and the purpose of this Module is to explain how the Internet of Things will replace the current infrastructure and lead to enhanced digital use of everyday  technology and services. 

Module 4 Marketing Analytics 
Module profile: “Intermediate”

Our key objective in this Module Is to examine operational concerns associated with implementing marketing strategies and programmes and to understand the processes of market assessment and marketing strategy formulation. You will undertake market analysis using analytical techniques, synthesise results and context, analyse a number of marketing analysis successes and failures and solve analytical problems. We examine customer preferences identification and analysis, segmentation and targeting, data analysis for brand positioning, estimating customer span of lifetime value. We also cover market response modelling and analysis and the impact of digital advertising. 

Module 5 Human Resource Analytics
Module profile: “Intermediate”

Human Resource analytics is a data-driven approach to managing people at in the workplace and improving their work situation as well as the company’s bottom-line. HR analytics, also known as people analytics, workforce analytics, or talent analytics, revolves around analyzing people problems using data to answer critical questions about the organization. This Module looks in depth at how professionals use HR Analytics to improve efficiency, workplace ESG and how workers, corporate management and staff all benefit. 

Module 6 Supply Chain Management – Distributed Ledger Technologies
Module profile: “Intermediate”

Distributed Ledger technologies, based on Blockchain, have revolutionised supply chain and logistics management. At a basic level it has the potential to redesign database management dimensions for many businesses with regard to managing transactions and reducing costs. At an advanced level it enables vast logistics channels to be built on Blockchain and several hundred have been created over the last few years. This Module describes how this phenomenon occurred, what Blockchain is and discusses the potential for the technology to evolve.

Module 7 Machine Learning and Artificial Intelligence
Module profile: “Advanced”

Artificial Intelligence is a phrase that has been used to describe many new cognitively-driven decision support systems and functions/processes in Finance and its related industries. Artificial Intelligence seeks, via intelligent agents and the use of big data, to act in a more ‘human-like’ way when solving problems and to enhance and support the spectrum of human decision-making tasks in complex environments. This Module describes developments in AI and Machine Learning and discusses if AI has achieved what it set out to. Where is AI heading and how can we prepare for potential disruption in this fast-developing field? 


"I chose to study the Finance Trading Programme (FTP) as I wanted to get a more hands-on approach on complex financial topics. During normal lectures, we don’t have the time to see whether the theories we learn are applicable to the real world, and if they are, how. The Trading Programme provides me with the practical tools that I will need in the real world to analyse the markets and based on that, take trades." - MSc Investment and Finance Student

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