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Financial and Computational Mathematics
University College Cork

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Financial and Computational Mathematics


Institution

University College Cork


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    Financial and Computational Mathematics
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Studying Financial and Computational Mathematics at the University College Cork

Modern finance is increasingly reliant upon advanced mathematical and computational techniques for the modelling of asset and financial market movements, the design and valuation of financial derivatives, and portfolio management.

 

This course provides an appropriately rigorous treatment of branches of mathematics applicable to financial modelling, including measure-theoretic probability, stochastic processes in discrete and continuous time, and partial differential equations. It is mathematically challenging and requires prior familiarity with multivariate calculus, differential equations, linear algebra, probability, and statistics. You should also have some experience of programming.

 

The rapid increase in available computing speeds over the past fifteen years has led to the widespread adoption of sophisticated computational methods for financial modelling and the development of algorithmic approaches to market trading.

 

Computational methods form a core part of this course; we provide exposure to relevant software including Python, R and C#, and provide the option to study machine learning, which is emerging as an essential and rapidly developing tool in industry.


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Financial and Computational Mathematics: Course Practicalities

In Semesters 1 and 2 you can expect to attend an average of 12 hours of lectures and 6-8 hours of tutorials and lab sessions per week, which will be spread evenly throughout the working day. The remainder of your time will be spent in independent study, exercises and assignments.

 

Semester 3 will be entirely devoted to a substantial research project which requires you to write, submit and defend a dissertation. Computer labs are provided on campus with all relevant software packages, though students are also encouraged to have access to a laptop of their own.

 

Teaching at UCC is research-led, and the course is delivered by mathematicians, statisticians and computer scientists who are internationally recognised for their research, ensuring that you will have access to up-to-date knowledge in the field. Relevance to current industry practice is ensured by our Industry Advisory Committee.

 

 

Why Choose This Course

Employers in the banking and investment sector require graduates with a deep understanding of the relevant mathematical concepts as well as the practical and computational skills associated with applying them. This course provides both, and is an opportunity for students pursuing mathematical degrees that are not specifically financial in nature to continue to studies in advanced mathematics with a financial focus, and therefore enhance their employment options.

 

The course combines mathematical rigour with an emphasis on computational finance and the opportunity to study machine learning, a combination that is currently unique in Ireland. The opportunity to work in teams is built into the programme structure.

 

UCC itself enjoys proximity to financial employers in Ireland (for the example in the IFSC in Dublin) and in other European financial centres, including London. Students applying from overseas may also wish to consider Ireland’s Third Level Graduate Scheme, details of which are available here


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Financial and Computational Mathematics: Skills and Careers Information

Graduates will be prepared for quantitative roles in the financial services sector and particularly in investment banking, including roles in financial engineering, quantitative finance, investment analysis and fund management. The programme also serves as a route to further study in this area.


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Financial and Computational Mathematics: Requirements

  • Candidates must have obtained at least a Second Class Honours Grade II in a primary honours degree (NFQ, Level 8)
  • or equivalent in the mathematical sciences or another highly numerate discipline;
  • Candidates who have obtained at least a Second Class Honours Grade II in a primary honours degree (NFQ, Level 8) in Engineering or Physics may be considered under Recognition of Prior Learning (RPL) but are expected to have sufficient background in university-level mathematics as assessed by the Course Co-ordinator;
  • All candidates must be ultimately approved by the Course Co-ordinator.

 

English Language Requirements

Applicants that are non-native speakers of the English language must meet the university approved English language requirements available here.

 

For applicants with qualifications completed outside of Ireland

Applicants must meet the required entry academic grade, equivalent to Irish requirements, please find our grades comparison by country here

 

International/non-EU applicants

For full details of the non-EU application procedure please visit our how to apply pages for international students. In UCC, we use the term programme and course interchangeably to describe what a person has registered to study in UCC and its constituent colleges, schools, and departments.

Not all courses are open to international/non-EU applicants, please check the fact file above.

For more information please contact the International Office.


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Institution

University College Cork


Location: Cork Western Road
T12 YN60 Cork
Irland
South-West Region
T   +353 21 4902876
E   graduatestudies@ucc.ie

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Facts about the Masters programme

Location

Cork

Field of study

Information Technology & Telecommunications, Science & Mathematics

Degree

Master of Science

Language

English

Start

winter semester - 13.09.2021

Application deadline

ask the institution

Type of study

Full-time

Duration of study: 1 year

Tuition fees EU: 8130 EUR / year

Tuition fees Non EU: 18130 EUR / year

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Facts about the Masters programme

Location

Cork

Field of study

Information Technology & Telecommunications, Science & Mathematics

Degree

Master of Science

Language

English

Start

winter semester - 13.09.2021

Application deadline

ask the institution

Type of study

Full-time

Duration of study: 1 year

Tuition fees EU: 8130 EUR / year

Tuition fees Non EU: 18130 EUR / year

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