Higher Diploma in Science in Computing (Web & Cloud Technologies)

Overview

The Certificate in Data Analytics and Machine Learning for Finance is designed to develop skills in data analytics and machine learning artificial intelligence for professionals working in, or seeking to work in, finance, including financial services.

Recognising the growth in the use of data analytics and machine learning artificial intelligence this Certificate will build important competencies in data analytics and machine learning. Learners will synthesise knowledge and develop capability in the appropriate application of machine learning and data analytics, data analysis, utilising Python to undertake data analytics and machine learning artificial intelligence tasks on financial data, identifying, accessing and using reliable financial data sources, and interpreting and applying the results of the analysis to relevant areas such as investment advice, the development of FinTech based services, risk management and compliance and regulation.

Objectives

The programme objectives of the Certificate in Data Analytics and Machine Learning for Finance are:

• Introduce learners to coding for data analytics.

• Develop learners’ appreciation of the tools and techniques utilised to analyse large data sets.

• Demonstrate learners’ proficiency in building data driven predictive models.

• Expose learners to machine learning techniques and application in a finance function.

• Stimulate the learners’ communication and ‘story-telling’ skills.

Delivery

This programme is delivered over 12 weeks, usually 2 nights a week and is fully online.
 

Minimum Entry Requirements

To be eligible for the Certificate in Data Analytics and Machine Learning for Finance Microcredential, applicants typically need to meet the following minimum entry requirements:

• A Level 8 Honours Bachelor’s degree in a cognate area with a minimum pass classification.

• A Level 8 Honours Bachelor’s degree in a non-cognate area with a minimum pass classification, with 1-2 years professional experience in a cognate area.

• A Level 7 ordinary bachelor’s degree in a cognate area (cognate areas include business, finance, management), with 1-2 years professional experience in a cognate area.

• Applicants who do not have a Level 8 qualification and who have at least 3 years’ work experience may also be considered through the College’s normal RPL procedures. Relevant professional experience will be taken into account, and individuals will be assessed on a case-by-case basis through DBS RPL procedures.

All applicants apply online via the Springboard portal.

 
The 10 ECTS achieved on successful completion of the Certificate in Data Analytics and Machine Learning for Finance may be recognised for exemption or advanced entry within related programmes at DBS, subject to institutional policies and entry requirements. In particular, learners may progress to the Master of Science in Financial Analytics, with credit for this module carried forward into the overall award where learning outcomes are aligned.

Where learners hold an appropriate Level 8 qualification, the Certificate in Data Analytics and Machine Learning for Finance may also support access to the Master of Science in Financial Technology, providing a pathway for further specialisation at postgraduate level. In addition, the Certificate may contribute to a Recognition of Prior Learning (RPL) application, offering a persuasive basis for admission where applicants can demonstrate relevant professional experience and prior learning.