Overview
Intakes :-
Fall /
Years :-
1 Year and 3 Months
Time :-
Programs :-
Master
Modes :-
On Campus
Language :-
- English
About This Program
The MSc in Financial Data Intelligence is designed to meet industry demand for graduates with skills in finance and data intelligence or finance and cybersecurity. Students with a non-financial background in engineering, mathematics, or economics are equally welcomed to the course, as knowing how to work with data is the key entry-level skill that will benefit students of this programme.
Admission Requirement & Criteria
Eligibility Criteria
- A strong academic background
- Bachelor or equivalent (Diploma)
English proficiency (one of the following):
- TOEFL > 80 IBT
- TOEIC > 750
- IELTS > 6.0
- Cambridge Proficiency Exam (CPE) > B2
OR
> Native Language
OR
> Previous studies taught in English (minimum 2 years)
Application Procedure
Candidates have to complete an online application.
Eligible candidates will be invited for an online interview.
Curriculum
By choosing this Master of Science, you will study courses such as:
- Economic Modelling
- Coding and Data Science for Accounting and Finance
- Ethics and Corporate Social Responsibility in Finance
- International Strategy
- Financial Data Infrastructure
During the course, you will choose a subject to specialise in:
AI-driven Finance
AI-driven Finance
- Empirical Methods in Finance
- Deep Learning and Neural Networks for Finance
- Financial Data Infrastructure
- Recent Topics in AI and Finance
FinTech Business
- Financial Engineering and Commodity Trading
- AI and FinTech
- International taxation
- Cyber Security Management
- Blockchain and Crypto assets
- International & EU business law