Postgraduate Diploma in Data Science and Financial Technology

by SIM Global Education Claim Listing

Many experts highlight the potential for Financial Technology (FinTech) to make finance more accessible for those most in need and the FinTech sector in emerging markets and developing economies saw particularly strong growth – as much as 40% in the Middle East and North Africa

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img Duration

2.5 Years

Course Details

Programme Outline:

Awarded by University of London, UK and Developed by the Member Institution, Goldsmiths, University of London, UK.

Many experts highlight the potential for Financial Technology (FinTech) to make finance more accessible for those most in need and the FinTech sector in emerging markets and developing economies saw particularly strong growth – as much as 40% in the Middle East and North Africa. Globally, finance apps alone were downloaded more than four billion times in 2020.

This has disrupted the banking and finance industry too – from international banks to back-room start-ups - and changed the way we handle money.

This innovative programme will provide graduates with in-demand quantitative and analytical skills necessary to embark on a successful career in FinTech or in the financial services sector.

The programme combines technology from big data and analytics, mobile computing and modern financial services, to enable better decision-making for organisations.

The required modules will allow the student to gain a strong foundation of knowledge, as well as practical experience and the opportunity to tailor learning to meet individual career ambitions.

 

Prerequisite(s)

  • Candidates entering this programme via Entry Route 2, are required to complete an online preparatory course. For details, go to the Admission Criteria section.

 

Accepted Entry Qualifications

Entry Route 1:
Applicants must have the following: 

  • A bachelor's degree (or an acceptable equivalent) in a *relevant subject which is considered at least comparable to a UK second class honours degree, from an institution acceptable to the University of London.

 

Entry Route 2 
If applicants do not meet the above academic requirements, their applications may be considered based on the following  

  • A bachelor's degree (or an acceptable equivalent) in any subject which is considered at least comparable to a UK second class honours degree, from an institution acceptable to the University of London and the successful completion of the online preparatory course, Foundations of Data Science, prior to registration.

  • There is no entry test requirement for the MOOC course. However, there will be assessment during and at the end of the MOOC course. 

  • Central Branch

    461 Clementi Road, Central

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