FIT Certificate
A new standard in the FS Industry.
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A new standard in the FS Industry.
The Fields Institute, is an international centre for scientific research in mathematical sciences. It is an independent non-profit with strong ties to 20 Ontario universities, including the University of Toronto, where it occupies a purpose-built building on the St. George campus.
The Institute is internationally renowned for strengthening collaboration, innovation, and learning in mathematics and across a broad range of disciplines.
One of the Institute’s flagship events, The Fields Medal Symposium, was founded in 2012 and is endorsed by the International Mathematical Union. The annual event honours a Fields Medalist and aims to gather researchers from across the globe to discuss, advance and celebrate the honouree’s area of inquiry, and inspire a new generation of mathematicians and to extol the virtues of mathematics to the general public.
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What you’ll learn
Lesson 1 • 1 week
Introduction to vector spaces, matrix operations, eigenvalues, eigenvectors, and principal component analysisWhat you’ll learn
Lesson 2 • 1 week
Differential Calculus, Norms & Continuity, Derivatives, Lagrange Multipliers & Applications, Critical Points, Taylor Series, and Improper Integration.What you’ll learn
Lesson 3 • 1 week
Ordinary and partial differential equations, initial and boundary value problems, Green’s functions, and Fourier transformsWhat you’ll learn
Lesson 4 • 3 weeks
Basic concepts from algebra, calculus, and differential equations necessary for financial phenomena in multiple dimensions.What you’ll learn
Lesson 5 • 2 weeks
Probabilistic models and statistical analysis of static data using discrete and continuous random variables.What you’ll learn
Lesson 6 • 1 week
Modelling financial markets with stochastic processes, including time series analysis and ARMA/ARIMA models.What you’ll learn
Lesson 7 • 2 weeks
Numerical methods and simulations, focusing on Monte Carlo methods for data-centric problem-solving.What you’ll learn
Lesson 8 • 1 week
Linear and non-linear optimization techniques and their applications in decision-making processes.What you’ll learn
Lesson 9 • 2 weeks
Introduction to data science and machine learning, focusing on supervised and unsupervised learning methods.Python Project • 1 week
What you’ll learn
Lesson 1 • 2 weeks
Macroeconomics, microeconomics, and econometrics focusing on market behaviour and economic models.What you’ll learn
Lesson 2 • 4 weeks
Derivatives including swaps, futures, and options, and theoretical aspects of options pricing.What you’ll learn
Lesson 3 • 4 weeks
Basic quantitative methods in investment management, focusing on portfolio theory and financial instrument valuation.What you’ll learn
Lesson 4 • 1 week
Professional ethics and standards in financial reporting and investment management.Lesson 5 • 1 week
You will participate in a business case and present it to the classWhat you’ll learn
Lesson 1 • 3 weeks
Further computational methods for analyzing dependence structures in financial markets.What you’ll learn
Lesson 2 • 2 weeks
Advanced study of stochastic processes, including Brownian motion and Itô calculus.What you’ll learn
Lesson 3 • 3 weeks
Sophisticated data analysis techniques, focusing on regression analysis, estimation, and data modeling.What you’ll learn
Lesson 4 • 3 weeks
Deepens techniques from Machine Learning 1, focusing on tree-based models, deep learning, and Python applications.What you’ll learn
1 week
Data science case that will be presented to the classWhat you’ll learn
Lesson 1 • 4 weeks
Advanced options pricing, covering complex financial products and practical pricing models application.What you’ll learn
Lesson 2 • 4 weeks
Complex portfolio management techniques, risk assessment, and optimization strategies.What you’ll learn
Lesson 3 • 3 weeks
Risk measurement, mitigation, and regulatory requirements in financial managementThis third level will dive deeper into advanced quantitative methods essential for financial markets. It will explore sophisticated models and analytical techniques used to assess, predict, and manage complex financial behaviors. Key areas will include enhanced financial modeling, data-driven decision-making frameworks, machine learning applications, and advanced risk management strategies
What you’ll learn
Lesson 1 • 3 weeks
Capstone interaction between computational methods and data science with focus on large datasets and efficient algorithms.What you’ll learn
Lesson 2 • 2 weeks
Predictability methods, variability description, classification, inference, and data conforming with theories in finance.What you’ll learn
Lesson 3 • 2 weeks
In-depth theoretical and practical coverage of deep Learning, including common architectures and industry applications.What you’ll learn
Lesson 4 • 2 weeks
Data storage, processing, exploratory analysis, model formulation, and non-linear regression in large datasets.What you’ll learn
Lesson 4 • 2 weeks
Introduction to Blockchain concepts, stakeholder perspectives, governance, and implementation challenges in financial markets.What you’ll learn
3 weeks
Business case that will be presented to the classWhat you’ll learn
Lesson 1 • 3 weeks
Business intelligence workflow, data architecture, processing, visualization, cluster analysis, and forecasting.What you’ll learn
Lesson 2 • 3 weeks
Investment strategies focusing on environmental impact, social issues, and corporate governance integration.What you’ll learn
Lesson 3 • 3 weeks
Cybersecurity concepts, high-profile incident exploration, data protection strategies, and communication protocols.What you’ll learn
Lesson 4 • 2 weeks
Overview of risk categories, regulation history, and compliance, focusing on technology implementations in finance.Want to supercharge your career? Apply for all levels at once and get the full FIT Campus mastery, all for a discounted price. Prove your knowledge with this full Fields Institute certification.
Only a limited amount of spots available, apply now and join our advanced learning and professional community
Professionals with possession of the CFA or EFPA Certification
University graduates who want to join the financial industry
Investment professionals, financial managers, working in risk and markets
Professionals who want to join the financial industry
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