A technically orientated programme designed to balance theoretically rigorous coursework with a practical emphasis on the acquisition of advanced quantitative skills and an intuitive understanding of the dynamics of risk in financial markets. Includes Trading Floor Certification and an international business trip.
The MSc in Computational Finance is aimed at highly numerate graduates from Ireland and abroad with a background in a cognate discipline such as Economics and Finance and with a grade of 2:2 or higher in a Level 8 primary degree (National Qualifications Authority of Ireland). In addition, graduates from Mathematical Sciences (financial mathematics, actuarial finance, statistics and/or applied probability theory) or Engineering programmes are also welcome to apply for entry to the programme.
Recognition of Prior Learning: applications from industry professionals with relevant prior experience in investment or credit institutions, and looking to up-skill in the area of quantitative finance and/or quantitative risk management, will also be considered.
In the case of international students a candidate must demonstrate evidence of a high score on the mathematics component of the GMAT examination, or equivalent. In addition, a certified demonstrable achievement in a Standard English Language Competency Test will also be required.
WHAT TO INCLUDE WITH YOUR APPLICATION:
•Qualification transcripts and certificates
•English language qualification if English is not your first language
•Certified English translations of your transcripts/certificates where the originals are in a language other than English.
•A copy of your birth certificate (long document)
Guidelines on Completing your Application
•To ensure a speedy assessment of your application, please upload the above documents with your application form.
•Please title appropriately any documents you are uploading with the application form, for example "Supporting Statement", "Undergraduate Transcript", "Postgraduate Transcript", "English Language Certificate" etc.
English Language Requirements
Applicants whose first language is not English must provide evidence of either prior successful completion of a degree qualification taught through the medium of English or meet one of the criteria below (no longer than two years prior to application):
Acceptable English Language qualifications include the following:
•Matriculation examinations from European countries where English is presented as a subject and an acceptable level is achieved
•Irish Leaving Certificate English –Ordinary Level Grade D or above
•TOEFL – 580 (paper based) or 90 (internet based)
•IELTS – Minimum score of 6.5 with no less than 6 in any one component.
•English Test for English and Academic Purposes (ETAPP) – Grade C1
•GCE 'O' level English Language/GCSE English Language – Grade C or above
•University of Cambridge ESOL –Certificate of Proficiency in English - Grade C / Certificate in Advanced English Grade A
•GCE Examination Boards – Oxford Delegacy of Local Examinations – Grade C / Cambridge Local Examinations Syndicate – School Certificate Pass 1-6 / University of London Entrance and School Examinations Council – School Certificate Pass 1-6
Results in examinations other than those listed above may also be accepted as meeting our English language requirements. Contact the International Education Division for advice.
• Financial Modelling and Data Analytics
• Machine Learning in Finance
• Research Methods in Finance 1
• Trading Floor Certification
• Derivative Markets
• Corporate Responsibility
• Professional Development 1
• Fixed Income Models
• Portfolio Risk Analysis
• Credit Risk & Derivative Products
• Research Methods in Finance 2
• Financial Engineering
• Wealth & Portfolio Management
• Financial Regulation
• Insuring Risk in Nature & Industry
• International Economic Issues
• Project Management
• Leadership, Influence & Change
• Professional Development 2
Option to Exit with a Graduate Diploma in Computational Finance
• Dissertation in Finance 1
• Dissertation in Finance 2
• International Business Workshop
1 year full-time.
Start Date: 09/Sep/2019
Post Course Info
Typical career positions might be in quantitative analyst support roles to proprietary trading and risk-management functions; as investment analysts in any of the equity / fixed income / credit / energy commodity asset classes; as investment strategists or traders in hedge funds; as financial analysts in structured finance and/or private wealth management institutions; as risk-managers in middle-office regulation and compliance roles or as risk-analysts in financial regulatory institutions.
Graduates of this programme will be equipped with the requisite skills to operate effectively in the global financial services industry and can expect to find interesting and rewarding careers on graduation from the programme. Graduates of the programme will also be well positioned for consideration for entry onto PhD in Finance programmes. A PhD in (Computational) Finance is increasingly seen as a pre-requisite qualification for many of the specialist front-office trading and risk-management jobs now becoming available in the international financial services industry.