MSc in Financial Data Science

To achieve an MSc in Financial Data Science student’s complete a series of core modules over Trimester 1 and Trimester 2. In Trimester 3 students can complete either the industry internship; a FinTech incubator project; or take 3 additional option modules.
 

Autumn Trimester        

• Quantitative Methods for Finance

• Capital Markets & Instruments

• Derivative Securities

• Financial Analysis

• Financial Econometrics

• Financial Theory
   

Spring Trimester

• Banking & Finance in the Digital Age

• Programming for Financial Data Science

• Financial Data Science

• Machine Learning for Finance

 Summer Trimester         

• Ethics in Financial Services 
   

Students choose one of the Pathways below:

Pathway A: 

• Green Data Science
   

plus choose two modules from the list below

• Mergers and Acquisitions

• Financial Technology 

• Advanced Treasury Management

• Structured Finance

OR

Pathway B:

• Summer Internship

OR

Pathway C: 

• FinTech Incubator Project
   

Please be advised that option modules listed are indicative of what has been delivered in previous years. What is offered each academic year is subject to change. Summer taught modules are delivered in blocks over one or two weeks.

Taught Master's:  A minimum overall score of 7.0 over all components and a minimum of 6.0 in each band on the Academic Version.  The non-academic version is not accepted.

Taught Master's: A minimum score of 100 is required in the Internet based TOEFL (iBT) with a score of at least 20 in each section
 

General Requirements

• Standard XII

• Central Board of Secondary Education (CBSE)

• Council for the Indian School Certificate (CISCE)

• Intermediate Exam (some state boards)

• Higher/Senior School Certificate/Examination (most state boards)

• Average is calculated on best 5 recognised subjects

• CBSE/AISSCE/CUSCE/ISC - English Language 80% OR IELTS/TOEFL or equivalent

• Graduates with an undergraduate degree in Business, Finance or any degree with a significant quantitative element (such as engineering, physics or mathematics) are eligible to apply to this programme. 

• Applicants may be asked to undertake the GMAT or GRE at the Programme Director’s discretion.

• Two completed academic reference forms from referees who can assess applicant's maturity, motivation

• and intellectual ability. Part-time students can provide employer references.

The cost of studying at University College Dublin varies largely depending on the type of university and the degree chosen. More often than not, humanities, arts, and education courses are less expensive than degrees in medical, engineering, or management. Furthermore, students who choose to study at the postgraduate level typically pay higher tuition fees, which again vary depending on the programme chosen.

Most universities provide scholarships or financial aid to students in order to help them offset their tuition costs. Students should be aware that additional course fees and incidental expenses may not be included in tuition. On average, international students can expect to pay €27450 annually, to study in University College Dublin.

Graduates of the MSc in Financial Data Science will find career opportunities in the following areas:
 

• Data science

• Financial Services

• Investment Management

• Risk Management

• Banking & Credit Risk

• FinTech