The rapid rise of new ways of thinking about finance, as well as technological progress, has created a necessity for finance professionals to be able to work with new forms of data.
This move echoes the wider rise of data science as an approach to business. This Data Science for Finance Micro-Credential module will cover the nature and approaches of data science and, in specific, will approach finance through an immersion in Python coding.
Python is the most popular language of data science and this Data Science for Finance Micro-Credential module will bring you from the very basics of coding in Python through to advanced techniques for understanding financial data.
This Micro-Credential module will be delivered by Program Director Dr. Michael Dowling , an esteemed expert in the field in collaboration with IFS Skillnet.
What Can You Expect From This Module?
Having completed the Data Science for Finance Micro-Credential module students will be able to:
Understand the potential for modern data science approaches to improve the practice of finance
Develop Python language techniques that enable the effective analysis of financial data
Analyse financial phenomena through project-based approaches to financial data intelligence
Demonstrate an understanding of how to analyse, critically evaluate, and communicate, financial data science findings
Python language (Istock)
TheData Science for Finance Micro-Credential will take place fully online over 9 weeks on a Wednesday evening, from 7pm – 8.30pm, September to December 2023.
General Entry Requirements
For admission to the Data Science for Finance Micro-Credential module candidates must hold one of the following:
A 2:1 Honours degree in a relevant discipline eg. Finance, Business or Information Technology, or equivalent international qualification.
A Level 7 qualification in a relevant discipline or non-chartered membership of a professional body, along with at least 3 years relevant managerial work experience..
Chartered membership of a relevant financial education institution (please contact us to check)
Evidence of substantial relevant managerial work experience. Such applicants will be required to submit a CV and Personal Statement in support of their application and may be required to attend for interview.
Things to note:
Applicants who have achieved a 2.2 Honours degree may still obtain a place. This will depend on availability of places and on obtaining high grades in relevant modules on their undergraduate programme.
International candidates who are non-native speakers of English must satisfy the University of their competency in the English language. More information about English language requirements for DCU Business School can be found here.
Applicants who require a study visa for the purposes of studying at DCU, are advised to apply as early as possible. If you need a study visa and are a Non EU student, you are not eligible to apply for part time programmes as study visas are only granted for full time programmes.