Carnegie Mellon University
Master of Science in Computational Finance  ›  Academics  ›  Curriculum  ›  Year Two

Year Two

Specializing for Your Career Goals

In your final semester, you will customize your studies with a mix of required and elective courses, allowing you to focus on your areas of interest, including:

  • Quantitative research
  • Financial computing
  • Asset management
  • Algorithmic trading
  • Risk management

Year Two Courses

11 courses displayed.

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46912 Blockchain and SQL Fundamentals

This is a medley class that combines SQL (accessing and processing data stored in large, centralized data stores) and blockchain smart contracts (accessing and processing data stored in decentralized ledgers). There is significant interest in the industry for both…

46915 Advanced Derivative Models

Building on the theory developed in Math 46945: Stochastic Calculus II, this course treats advanced models and methods for derivative pricing. Topics covered include local and stochastic volatility models, exotic options and volatility derivatives. Emphasis is…

46924 Natural Language Processing

This course introduces students to natural language processing (NLP) and text mining methods relevant to the study of quantitative finance. Topics include extracting natural language features, sentiment analysis, topic models, and word2vec, among others. The focus is on…

46937 Deep Learning

This course introduces students to the foundations underlying deep learning that are relevant to the study of quantitative finance. While deep learning is a rapidly evolving field, this course focuses on the fundamental concepts that are pertinent to contemporary…

46954 Risk Management

Using tools and models developed in the Stochastic Calculus sequence, this course expands on interest rate, credit risk, and default modeling, including the Heath-Jarrow-Morton framework for interest rates. The course gives an overview of risk and common measures of risk.…

46975 Macroeconomics for Computational Finance

This class is designed to give students an understanding of the functioning of the US economy and how it relates to the global economy. This knowledge will enable students to grasp the enormous differences in economic environments faced by businesses around the world; The…

46976 Financial Optimization

Optimization techniques play an increasingly important role in a range of financial and data science problems. Many computational finance problems ranging from asset allocation to risk management, from option pricing to model calibration, can be efficiently solved using…

46977 MSCF Studies in Financial Engineering

This is a course about using Financial Engineering to solve practical risk management and trading problems and about the sales process for selling derivative deals. The focus is on designing and pricing derivative securities to trade on and hedge customized risk exposures…

46979 Asset Management

This course presents a modern treatment of the buy side of quantitative finance. The course follows a modern factor perspective: assets earn high returns (risk premiums) to compensate owners for the losses they incur during bad times, i.e., because of their exposure to…

46982 Market Microstructure and Algorithmic Trading

Trading is central to the investment process. This course presents foundational concepts and current issues relating to trading in financial markets including algorithmic and high frequency strategies, optimal order execution, execution quality analysis, the dynamics of…

46983 MSCF Machine Learning Capstone Project

The capstone builds on the concepts and skills taught in the five-course data science curriculum during the first year of the program. As a second-year MSCF student, you will work with fellow students on data mining, modeling and visualization techniques along with…
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