Master of Mathematics and Quantitative Finance

Program Overview

The Master of Mathematics and Quantitative Finance program at UTS equips students with advanced mathematical concepts and practical applications in finance. It combines core subjects in quantitative finance and mathematics, preparing graduates for careers in the rapidly evolving financial landscape. The program emphasizes problem-solving, communication, and industry-relevant software skills, making graduates highly sought after by leading employers in the financial industry.

Program Outline

Degree Overview:

The Master of Mathematics and Quantitative Finance program at UTS is designed to meet the increasing demand in the field of quantitative finance within various industries. The program combines advanced mathematical concepts with practical applications in finance, preparing graduates with the necessary skills and knowledge to excel in a rapidly evolving financial landscape.

Objectives:

• Equip students with a comprehensive understanding of mathematical foundations, including calculus, algebra, and probability.
• Develop students' ability to formulate and solve complex financial problems using mathematical models.
• Provide students with hands-on experience in industry-relevant software applications.
• Enhance students' communication and presentation skills in the context of financial analysis and decision-making.
• Prepare students for a successful career in quantitative finance or related fields.

Outline:

The program comprises 96 credit points of core subjects, encompassing both quantitative finance and mathematics.

Quantitative Finance Core Subjects:

Students complete 72 credit points of core subjects in quantitative finance, including:

• Fundamentals of Software Development
• Advanced Communication Skills in Science
• Understanding Data and Statistical Design
• Calculus 1
• Algebra
• Probability and Random Variables
• Quantitative Management Practice
• Calculus 2
• Financial Market Instruments
• Interest Rates and Credit Risk Models
• Fundamentals of Derivative Security Pricing
• Risk Management
• Probability Theory and Stochastic Analysis
• Statistics and Financial Econometrics

Mathematics Core Subjects:

Students complete 24 credit points of core subjects in mathematics, including:

• Calculus 1
• Advanced Communication Skills in Science
• Algebra
• Probability and Random Variables
• Calculus 2
• Quantitative Management Practice
• Understanding Data and Statistical Design
• Calculus 2
• Quantitative Management Practice
• Understanding Data and Statistical Design
• Fundamentals of Software Development

Assessment:

Students are assessed through a variety of methods, including:

• Assignments
• Quizzes
• Exams
• Projects
• Presentations
• Reports
Assessment criteria typically include:
• Technical accuracy
• Depth of analysis
• Clarity of communication
• Problem-solving skills
• Teamwork and collaboration

Teaching:

The program is taught by a team of experienced academics and industry professionals with expertise in mathematics, finance, and quantitative analysis. Teaching methods include:

• Lectures
• Tutorials
• Workshops
• Guest lectures
• Industry case studies

Careers:

Graduates of the Master of Mathematics and Quantitative Finance program are highly sought after by leading employers in the financial industry, including:

• Investment banks
• Hedge funds
• Asset management companies
• Risk management firms
• Regulatory bodies
• Government organizations
Potential career paths include:
• Quantitative analyst
• Risk management analyst
• Quantitative structurer
• Quantitative developer
• Forecaster
• Trader
• Investment analyst
• Financial engineer