Dublin Business School
Dublin Business School

MSc FinTech

Dublin Business School, Ireland

Course Overview

The innovative Master of Science in Financial Technology (90 ECTS, Level 9) was designed to enhance learners' expertise in the field of Financial Technology. The fusion of finance and technology has led to a swift and profound transformation in skill requirements within the industry. This rapid evolution necessitates that current and prospective professionals in financial services cultivate proficiency in finance, technology, regulation, and data science to effectively navigate the industry. Furthermore, employers highly value individuals who have honed advanced critical thinking, writing, and research skills. Throughout the program, learners are presented with numerous opportunities to cultivate these crucial skills, ensuring they graduate well-prepared for the workforce. The structured curriculum of this program includes core modules covering Quantitative Financial Modeling, FinTech Regulation, Information and Cybersecurity Management, Distributed Ledger and Asset Tokenization, Data Analytics and Machine Learning, Applied Financial Analysis, and Research Methods one and two. Attaining an MSc in Financial Technology requires the completion of nine mandatory modules (ranging from 4 to 10 ECTS) and the selection of one capstone option: the Applied Research Project, the Dissertation, or the Placement—each carrying 30 ECTS.

Course Type
PG
Course Nature
Full Time
Course Duration
1 Year
Total Fee
€14500
Intake
September 2024 , January 2024
Language Proficiency

Under Graduation:55%
IELTS:6.5
Duolingo:120

Documents Required
  • 10TH
  • 12TH
  • DEGREE
  • DEGREE PROVISSIONAL CERTIFICATE
  • Degree Consolidated Marksheet
  • Degree Individual Marksheet
  • PASSPORT
  • CV
University
Dublin Business School
University Details

Syllabus

Course Content

The Master of Science (MSc) in Financial Technology has the following content:

Stage 1

Stage 2  

Stage 3

The Evolution of FinTech

Quantitative Financial Modelling

Fintech Regulation

Research Methods I




 

Information & Cybersecurity Management

Distributed Ledger and Asset Tokenisation

Data Analytics & Machine Learning

Applied Financial Analysis

Research Methods II

 

Applied Research Project

Dissertation

Placement







 

Assessment Methods

The programme teaching and learning strategy is designed to allow the learner to progress through the theoretical and practical concepts in an orderly and logical fashion. The assessment strategy is planned to ensure practical application of the core principles of the module and facilitates feedback, which underpins the overall learning experience.

The overall assessment strategy of the programme is a mixture of practical individual and/or group - project bases - continuous assessment, and where appropriate a final examination.

The programme emphasises the development and evolution of the skills and attributes relevant to the contemporary workplace, and the programme’s assessment strategy reflects this clear objective.

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