Trent University

Canada
2 Scholarships 65 Programs 4 Degree levels
Masters

Financial Analytics Stream: Applied Modelling and Quantitative Methods

Offered at Trent University, Canada
DegreeMasters
FieldMSc Financial Analytics (Applied Modelling & Quantitative Methods)
Duration16 months
Tuition11167.00

Overview

Build advanced skills in mathematical finance, derivatives, stochastic modelling, and portfolio optimisation through a focused Financial Analytics Stream at Trent University. Designed for students who want rigorous quantitative training and research-led learning in applied modelling and quantitative methods.

About this programme

Overview

The Financial Analytics Stream at Trent University offers a comprehensive program designed for individuals seeking to enhance their expertise in mathematical finance and quantitative methods. This course equips students with advanced skills in derivatives, stochastic modeling, and portfolio optimization, fostering a strong foundation in applied analytics through rigorous training and research-led learning.

What you'll study

Throughout the program, students will engage with core quantitative finance and modeling courses that establish a solid understanding of financial theory and applied analytics. The program culminates in a research practicum, allowing students to apply modeling methods to real-world problems.

  • Mathematical Finance
  • Options, Futures, and Other Derivatives
  • Stochastic Processes
  • Derivative Asset Pricing Models
  • Fixed Income Analysis
  • Portfolio Optimization and Capital Asset Pricing

The research practicum in the final term provides a supervised environment for students to integrate their knowledge and skills into a practical analytics project focused on finance.

Entry requirements

  • Degree: A four-year honours degree (B.A. or B.Sc.) in a relevant field such as Business Administration, Economics, Mathematics, or similar.
  • Minimum GPA: A minimum of B+ (77%) in the last four semesters or last two undergraduate years is preferred.
  • Calculus: Completion of a university-level course in differential and integral calculus.
  • Statistics: A course in probability and statistics (or equivalent).
  • Linear Algebra: Familiarity with linear algebra concepts.
  • Programming: Basic proficiency in at least one programming language.
  • Advanced Quantitative Background: A course in either differential equations or advanced statistics is required based on the research focus.
  • Capacity: Enrollment is limited, so early application is advisable.

Career prospects

Graduates of the Financial Analytics Stream will be well-prepared for diverse career opportunities in financial services, analytics, and consulting. The rigorous training and practical experience gained throughout the program equip students with the necessary skills to excel in roles such as financial analyst, risk manager, and quantitative researcher, among others.

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Programme details are indicative and may change — always verify current information with the official university website before applying.