Financial Machine Learning and Automation Micro-Credential
| Micro-Credentials
DURATION
9 Days over 9 weeks
FEES
Module Fee €1299 IFS Skillnet Member Fee: €865
START DATE
January 2024
APPLICATION
course overview
The Financial Machine Learning and Automation Micro-Credential develops knowledge of the techniques of machine learning to learn from financial data and build new types of financial models. Through the application of artificial neural networks, support vector machines, random forests, and gradient boosting, we will bring new understanding to financial models.
The machine learning techniques are applied to build, for example, asset pricing models, credit acceptance /rejection models, and fraud detection models. There will also be coverage of the practical issues of setting up secure data infrastructures for implementing these techniques in the firm. A second focus will be on how to use machine learning, as well as other tools, to implement automation to financial services provision in the firm. The Financial Machine Learning and Automation Micro-Credential is delivered through the Python language.
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 Financial Machine Learning and Automation Micro-Credential module you will be able to:
- Demonstrate understanding of the key machine learning techniques of benefit to financial modeling
- Apply machine learning techniques appropriately in a variety of practical financial context
- Understand the data needs, and appropriate and secure data handling skills, for working with financial models
- Implement automation to financial decision making based on financial machine learning and understanding of financial technology
Timetable
The Financial Machine Learning and Automation Micro-Credential will take place fully online over 9 weeks on a Wednesday evening, from 7pm – 8.30pm, January to April 2023.
General Entry Requirements
For admission to the Graduate Certificate in Aviation Sustainability, Leadership and Innovation 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.
Application Submission Details
Application Deadlines
Applications will be accepted on a rolling basis until the programme is full or until the closing date which is 31st July 2023.
Queries
For queries on this programme please email Programme Director Michael Dowling at michael.dowling@dcu.ie
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DCU Business School
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