Master of Financial Engineering

Finance

A cross-disciplinary master's program equipping students with advanced technical skills in finance, economics, mathematics, statistics, and computer science to solve problems in financial engineering, risk management, and investment.

NZ$16,528

inc GST

Enquire about international pricing


This course starts anytime

NZQA Level 9 Certification (180 Credits)

Study Level

Post Grad

1
2
3
4
5
6
7
8
9
10

In-person study

Face-to-face learning in a physical classroom setting

University of Canterbury, Ilam Campus, Christchurch

It will take a total of 1 year

Background blur gradient small

Coming Soon: Nexties Explorer

Our AI-powered Explorer is almost ready. Soon, you’ll be able to build a dynamic profile of your skills, goals, and strengths, and get a curated selection of courses just for you.

More details

Unlock these abilities


Star graphic

Apply financial and economic theory with mathematics and computation

Graduates will be able to integrate financial, economic, mathematical, and computational models to develop financial products and solve industry problems.

Star graphic

Manage financial risk and optimize investments

Ability to analyze and manage financial risk, design and value financial/actuarial products, and formulate optimal investment strategies.

Star graphic

High-level technical skills for the financial industry

Students will develop advanced expertise in mathematical modeling, portfolio optimization, derivative pricing and statistical analysis relevant to finance.

What You're Signing Up For

The Master of Financial Engineering at the University of Canterbury is a one-year (full-time) to three-year (part-time) cross-disciplinary degree that prepares students with strong mathematical and statistical backgrounds for high-level roles in finance. Students develop their technical and practical abilities across financial products, risk management, portfolio optimization, and financial data analysis through coursework and an applied research project. The program is designed with industry needs in mind and links classroom learning with real-world financial engineering problems, preparing graduates for careers in financial institutions, regulatory bodies, and investment industries.

Course Content

  • Time Series and Stochastic Processes
  • Optimisation
  • Derivative Securities
  • Advanced Derivative Securities
  • Computer Programming
  • Quantitative Finance and Economics (for those with minimal background)
  • Research Project: Applications of Financial Engineering
  • Elective 400- and 600-level courses in Mathematics, Statistics, and Finance

What you need to know first

Bachelor's degree with a B+ average in 300-level courses

Specified 200-level MATH and STAT courses or equivalent

Approval to enrol

If insufficient statistics and finance background: FIEC601 Quantitative Finance and Economics prior to enrolment

If English is not the first language: Meet UC's English language requirements

Industry icon

What sort of industry will this job lead to

  • Finance

  • Banking

  • Investment

  • Risk Management

  • Insurance

  • Data Analytics

Employment opportunities icon

Future employment opportunities might be

  • Quantitative Analyst

  • Risk Manager

  • Financial Engineer

  • Investment Analyst

  • Capital Markets Analyst

  • Actuarial Consultant

  • Roles in banks (e.g., Reserve Bank), treasury, regulatory bodies, and insurance