A paid, full-time work experience with an industry partner from the FinTech space. It requires students to take a break from fulltime academic studies for the duration of the work term (either 4, 8, 12 or 16 months of employment). After accepting an internship job offer at a company, students are enrolled in this course […]
Theories of financial intermediation, risks and risk management in banking (including liquidity and interest rate risk), balance sheet management, capital adequacy and securitization, performance measurement.
The role of financial managers in accomplishing organizational objectives, uses of financial statements, present value theory, risk/return analysis, leverage, cost of capital, resource allocation models.
Introduction to computer networks with a special focus on the Internet architecture. Topics include the layered architecture, addressing, naming, routing, common application protocols (web, email) and security. Students develop a distributed application through low-level socket programming.
Introduction to machine learning as it applies to finance. Topics include linear models for regression and classification, kernel models, mixture models and cluster analysis, applied over financial data. A thorough discussion of performance analysis is also offered.
Focuses on designing and implementing data visualization techniques to support exploratory analysis, statistical modeling, and presentation of results from large datasets. Topics include principles of visual perception, data cleaning, implementing static and interactive visualizations, and data storytelling with visualization. Students get hands-on experience by implementing visualizations using programming libraries and completing projects in groups.
An introduction to data and knowledge management systems. Topics covered are conceptual modelling, relational database design and querying, ontology representation and querying using W3C standards. A survey of modern data management technologies (e.g. NoSQL, columnar) in preparation for advanced courses on the topic is also offered.
A comprehensive introduction to continuous-time Mathematical Finance. This course introduces Brownian motion and Ito calculus and covers interest rate models and derivatives, the Black-Scholes model and the Black-Scholes partial differential equation, implied volatility and Merton's optimal portfolio problem. Example Textbook: Hull's Options, Futures, and other Derivatives
Surveys the current state of financial technologies internationally, including innovations and the state of the art in payments and micro-payments, distributed finance, micro-lending, robo-advising, algorithming trading, open-data and interoperability, regulatory technologies. Students are asked to critically study real of hypothetical cases of applications of financial technologies and identify benefits, drawbacks and threats.