Bsc Quantitative Finance in National University of Ireland, Maynooth, Ireland

Bsc Quantitative Finance in National University of Ireland, Maynooth

Description

• This programme will challenge and stimulate students who wish to pursue a career in the financial markets.
• The combination of financial, mathematical and computer programming skills will equip graduates to succeed and prosper in a fast-changing banking and financial sector.
• Students will have the opportunity to put the theory into practice during the work placement period and savour the daily life of a professional in the financial services industry.

Why choose this degree?

• By choosing this degree you will learn the required skills from leading experts across three different disciplines; Finance, Mathematics and Computer Science.
• You will be ready to pursue a career in the Financial Services industry, Financial Technology, Mathematics or Computer Programming.
• You will develop problem-solving skills that will open up a wide range of future career opportunities, not just in the financial sector but anywhere an analytical and innovative mind is required.

Course Structure

1st year

• Finance and Economics (15 credits)
• Computer Science (15 credits)
• Mathematics and Statistics (15 credits)
• Plus another 15 credits from
  • Accounting
  • Double Computer Science
  • Choice of subject from Group 1, 2 or 6, except Mathematics (Pure)
  • or Critical Skills

Students taking Accounting may transfer to MH401 Finance in second year, while students taking Computer Science may transfer to MH601 Computer Science and Software Engineering in second year

2nd year

• Finance and Economics (15 compulsory credits)
• Computer Science (20 compulsory credits)
• Mathematics and Statistics (15 compulsory credits)
• Plus 10 optional credits from
  • Finance
  • Economics
  • or Mathematics

3rd year

• Finance and Economics (10 credits)
• Computer Science (10 credits)
• Mathematics (10 credits)
• Industrial Placement (subject to availability) or Research Project (30 credits)

4th year

• Finance and Economics (10 compulsory credits)
• Computer Science (10 compulsory credits)
• Mathematics and Statistics (10 compulsory credits)
• Plus 30 optional credits from
  • Finance
  • Economics
  • Computer Science
  • Mathematics
  • or Statistics

Course Duration: 4 years

Career Options

Graduates will be ideally placed to pursue a career in investment banking, treasury management, corporate finance, financial engineering, fintech and wealth management. Alternatively, graduates may prefer to pursue further studies. We offer a range of postgraduate courses which currently include:

• MSc in Economic and Financial Risk Analysis
• MSc in Finance
• MSc in Computer Science (Applied)
• MSc in Data Science and Analytics