ata analysis has become a dominant force in the modern global business landscape, propelling business analytics careers to be at their peak. Professionals with analytical skills are in high demand.
Industries are looking for data-literate professionals with strong decision making and analytics skills, but also with financial acumen to develop strategies for their organisations.
This course will equip you with technical data science skills and non-technical management skills along with a deep understanding of the application of analytics within the context of financial management. You will develop an interdisciplinary understanding of the applications of analytics in a financial context through data collection, data visualization, statistical/pattern analysis, and data mining.
You will be exposed to modules such as corporate finance, credit risks and data analytics, as well as optimisation and decision modelling, along with modules which incorporate research skills and the latest analytical techniques and tools.
This degree is ideal for those who have previously been exposed to other disciplines and fields which perhaps incorporated data analytics skills or quantitative subject, such as economics, mathematics, physics, engineering or computer science.
It will also suit you if you have relevant professional experience and are contemplating of either furthering your career or making a career change.
Our modules are designed to meet the latest industry demands with course contents which are meticulously reviewed by our Business Advisory Board. siness Advisory Board. The board includes industry experts from organisations such as:
- Rolls Royce
- BT Openreach
- Ford
- Shell
A dissertation component has been integrated as part of this programme. For this module, you will follow one of the following options:
- • To choose a topic to write your dissertation about with the help and guidance of a supervisor.
- To apply to work on an industry project. If you are selected to work on the project, this will be the topic of your dissertation.
You’ll also benefit from the expertise of the Centre of Operational Research, Management Sciences and Information Systems (CORMSIS), one of the country’s strongest analytics research groups. Your learning is informed by specialist research, and you can personalise your studies with optional modules. For example, you can choose to focus on:
- financial risk management
- advanced analytics
- simulation
- revenue management
We regularly review our courses to ensure and improve quality. This course may be revised as a result of this. Any revision will be balanced against the requirement that the student should receive the educational service expected. Find out why, when, and how we might make changes.
Our courses are regulated in England by the Office for Students (OfS).
Course lead
Dr Steffen Bayer is your course lead. Steffen’s research explores predictive analytics using simulation methods applied in different fields. He teaches the Simulation module. Read about Dr Bayer's research and publications.