Course Details

Course Code(s):
GDARIFTFAD
Available:
Full-Time
Intake:
Autumn/Fall
Course Start Date:
September
Duration:
1 Year, Full-Time
Award:
Graduate Diploma
Qualification:
NFQ Level 9 Major Award
Faculty: Kemmy Business School
Course Type: Taught, Professional/Flexible
Fees: For Information on Fees, see section below.

Contact(s):

Name: Dr Martin Cunneen
Email: martin.cunneen@ul.ie
Name: Shauna O'Connell
Email: shauna.oconnell@ul.ie

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Brief Description

The Grad. Dip. in Artificial Intelligence in Finance is responding to a growing market need for upskilling and reskilling in financial services. There is heightened industry demand for applied technical and quantitative skills blended with strong financial knowledge.

 

The full-time, online Graduate Diploma in Artificial Intelligence in Finance offers a unique interdisciplinary approach to meet the growing demand for technical, quantitative and AI qualifications in finance. The programme will be offered online only and full-time over a single year.

What types of career can this student go into?  Quantitative Analyst, Business Analyst, Financial Analyst, Data Scientist, Machine Learning Engineer, Academic, Management Consultant, Project Manager, Supply Chain Manager, Research Analyst, Data Analyst.

 

Autumn SemesterSpring Semester Summer 
CE4021  INTRODUCTION TO SCIENTIFIC COMPUTING FOR AICE6002  ARTIFICIAL INTELLIGENCE AND MACHINE LEARNINGIN5103   RISK, ETHICS, GOVERNANCE AND ARTIFICIAL INTELLIGENCE
FI6161    CAPITAL MARKETS & CORPORATE FINANCECS5062  DATA  ANALYTICS 
MN6041 PROJECT MANAGEMENT IN PRACTICEFI6015    DEEP LEARNING FOR FINANCE 
FI6024    MACHINE LEARNING FOR FINANCEFI6035    DERIVATIVE MARKETS (ONLINE) 
 CA4003  CAREER DEVELOPMENT  

 


12-Months, Full-time Programme Structure

ECTS credits: 60

Applicants must hold a Level 8 honours degree at a minimum second class honours, grade 2 (NQF or other internationally recognised equivalent) in a relevant discipline such as finance, economics, business, engineering, computing, mathematics, science or technology.  

Applicants from other disciplines who have relevant mathematics and computing elements in their primary degree will also be considered.

Applicants who possess an honours degree, minimum 2nd class, grade 2, or equivalent in a non-numerate discipline and have three years experiential learning in an appropriate computing discipline will be considered.

RPL (Recognised Prior Learning) entry will be available for those who do not meeting the minimum entry requirement but who have gained substantial experience in the area.

Delays in receiving the documents below will affect the progress of your application.

WHAT TO INCLUDE WITH YOUR APPLICATION:

  • Qualification transcripts and certificates
  • A copy of your birth certificate or passport
  • A copy of your CV
  • If your qualifications have been obtained in a country where English is an official language this will suffice. 
  •  If this is not available, the following additional documents must be provided:
  • English translation of your qualification(s)/transcripts AND
  • English language competency certificate
  • Please click here for Further Information on English Language Requirements

(Please note that by providing your CV you are agreeing that we may send it to members of industry if you require assistance when searching for an Industry Learning Placement (ILE)  or project work (applies to some courses only))

 

Please note that Fees are subject to review

EU - €4,600

Non- EU - €4,600

For fees click here 

Please click here for information on funding and scholarships.