Financial Engineering - Economics and Finance - University of Canterbury - New Zealand

Studying Financial Engineering at Canterbury

What is Financial Engineering?

Financial engineering is a cross-disciplinary field combining financial theory, mathematical and computational tools to design and develop financial products, portfolios, markets, and regulations. Financial engineers manage financial risk, identify market opportunities, design and value financial or actuarial products, and optimise investment strategies.

Students intending to purse this pathway should include Mathematics with Calculus in their year 13 studies.

Career Paths

There are a wide range of employers of financial engineers: commercial and investment banks, brokerage firms, hedge funds, corporate and government treasuries, and financial institutions or regulatory bodies with an interest in investments. The breadth and depth of technical skills acquired by graduates of financial engineering also provides employment opportunities in allied fields, such as the actuarial and insurance industries, consulting and accounting firms, software and technology providers to the financial industry, and the rapidly growing industry in data science and analytics.

Postgraduate

A 180 point Masters in Financial Engineering is under development with a planned introduction of 2016 or 2017.

Students who include the appropriate courses in their undergraduate pathway are able to progress to postgraduate (Honours or Masters) in Statistics or Finance.  Students should seek advice from Dr. Marco Reale (marco.reale@canterbury.ac.nz).

Planning your degree

Similar to the UC Bachelor of Engineering, the first year of the BSc in Financial Engineering provides a breadth and depth of technical skills and knowledge across the key disciplines of finance and economics, mathematics and statistics and computer science/software engineering. This broad foundation is then built upon over the next two years, where you will undertake further core courses across these disciplines and can choose specialisations within Financial Engineering.  The BSc (Hons) in Financial Engineering further builds the breadth and depth of skills with a focus on finance and economics theory, along with the mathematical and statistical tools underpinning them, which provides excellent preparation for the job market or further postgraduate study in Financial Engineering.

Year 1

Core

  • COSC 121           Introduction to Computer Programming
  • COSC 122           Introduction to Computer Science
  • ECON 104           Introduction to Microeconomics
  • MATH 102           Mathematics 1A
  • MATH 103           Mathematics 1B
  • STAT 101            Statistics I
  • ACCT 102            Accounting and Financial Information**
  • INFO 125             Introduction to Programming with Databases**

** may be waived with approval of the Programme Co-ordinator.

Year 2

Core

  • FINC 201             Business Finance
  • ECON 213           Introduction to Econometrics
  • MATH 201           Mathematics 2
  • SENG 201           Software Engineering I
  • STAT 213            Statistical Inference
  • One of  FINC 203 Financial Markets, Institutions and Instruments;
    or ECON 207       Intermediate Microeconomics – Households and Government
  • One of STAT 211 Random Processes;
    or STAT 221        Modern Statistical Computation and Simulation

 

Year 3

Core

  • FINC 331          Financial Economics
  • STAT 317         Time series methods
  • Any other 300-level course from those listed in Schedule B for Financial Engineering.
  • One of FINC 311 Investments;
    or FINC 312 Derivative Securities

 

300-level              (FINC 311 or FINC 312), FINC 331/ECON 331 and STAT 317/ECON 323. Any other 300 level course from those listed in Schedule B for Financial Engineering.
Students interested in this major should seek advice from Dr. Marco Reale in the Department of Mathematics and Statistics.

 

Contact

Financial Engineering Co-ordinator:

Photo of Marco Reale

Dr Marco Reale
marco.reale@canterbury.ac.nz
Department of Mathematics and Statistics
Erskine building, Room 722
Phone 364 2987 ext. 7681