Course Details

Course Code(s):
GDARIFTFAD
Available:
Full-Time
Intake:
Autumn/Fall
Course Start Date:
September
Duration:
1 year
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 oconnell
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, with a starting date in September 2023.

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 Semester Spring Semester  Summer 
CE4021  INTRODUCTION TO SCIENTIFIC COMPUTING FOR AI CE6002  ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN5103   RISK, ETHICS, GOVERNANCE AND ARTIFICIAL INTELLIGENCE
FI6161    CAPITAL MARKETS & CORPORATE FINANCE CS5062  DATA  ANALYTICS  
MN6041 PROJECT MANAGEMENT IN PRACTICE FI6015    DEEP LEARNING FOR FINANCE  
FI6024    MACHINE LEARNING FOR FINANCE FI6035    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.

Required Documents for UL application:

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

- Photo or Scanned original copy of your transcripts for all years of study. (Graduates of UL need only provide us with their Student ID number.)

- Photo or Scanned copy of passport to verify ID and full legal name.

- A copy of your most recent CV, please note that by providing this document 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). 

- Applicants who do not have English as their first language may satisfy English Language requirements:

  • 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

    For more information Click Here

Please note that Fees are subject to review

EU €8,250

NE €8,250

For fees click here 

Please click here for information on funding and scholarships.