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Curriculum


MS in FERM

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The MS in Financial Engineering and Risk Management requires 36 credit hours to complete the program. For the latest information about Academic Degree Plans, Course Catalogs and Course Information, please visit the MS in FERM page of the UT Dallas Graduate Catalog.

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2018-2019 Cohort Schedule – Full-Time Program

Fall 2018 Spring 2019 Summer 2019 Fall 2019
FERM 6301: Financial Accounting Information and Analysis FERM 6V99: Mathematical & Statistics in Financial Risk Management FERM 6V99: Special Topics: Corporate Finance & Risk Management
FERM 6303: Financial Assets and Markets FERM 6320: Statistical Methods for Financial Analytics FERM 6321: Advanced Statistical Methods of Financial Analytics
FERM 6305: Introduction to Mathematics in Finance FERM 6306: Advanced Mathematics in Finance FERM 6332: Financial Risk Management
FERM 6310: Financial Information and Analytics FERM 6311: Financial Technology FERM 6V98 Or FERM 6V99 FERM 6334: Financial applications of machine learning
FERM 6V99: Business Communication & Professional Development

Summary of course content:

  • FERM 6301 Basic financial accounting and financial statement analysis
  • FERM 6V99 Probability/Mathematical Statistics with an introduction to R programming
  • FERM 6V99 Special topics ranging from portfolio risk management to structured product design
  • FERM 6310 Python programming and databases (SQL and NoSQL)
  • FERM 6311 Cryptocurrencies/Blockchains/Smart Contracts
  • FERM 6334 Machine learning and its applications
  • FERM 6303 Financial markets and institutions
  • FERM 6320 Data Science and Machine Learning (basics) using Python
  • FERM 6321 Financial econometrics (time series to panel) using R/Python
  • FERM 6305 Mathematics of finance: from discrete time to continuous time finance
  • FERM 6306 Derivatives and their uses
  • FERM 6332 Financial risk management – from measurement to hedging

Prior to degree completion:Students are expected to have completed projects using Excel, Tableau, SQL, NoSQL, Python, R, and JavaScript. In addition, they are expected to have built a blockchain and smart contract using either the Ethereum or Corda platform.

2019-2020 Cohort Schedule – Full-Time Program

Fall 2019 Spring 2020 Summer 2020 Fall 2020
FERM 6301: Financial Accounting Information and Analysis FERM 6302: Financial Forecasting, Planning and Analysis FERM 6334: Financial Applications of Machine Learning
FERM 6305: Introduction to Mathematics in Finance FERM 6306: Advanced Mathematics in Finance FERM 6332: Financial Risk Management
FERM 6310: Financial Information and Analytics FERM 6311: Financial Technology FERM 6V98 Or FERM 6V99 FERM 6v99: (if not taken in summer)
FERM 6319: Mathematics & Statistics in Financial Risk Management FERM 6320: Statistical Methods for Financial Analytics FERM 6321: Advanced Statistical Methods of Financial Analytics
FERM 6V99: Business Communication & Professional Development

Summary of course content according to the program’s tracks or themes

FinTech Track:

  • FERM 6310 Python programming and database concepts (SQL/NoSQL)
  • FERM 6311 Blockchains / Cryptocurrencies / Smart Contracts
  • FERM 6v99 Further fintech topics, e.g. Robotic Process Automation, etc.

Financial Data Analytics Track:

  • FERM 6319 Probability/Mathematical Statistics (uses R)
  • FERM 6320 Financial econometrics – time series to panel (using R/Python)
  • FERM 6321 Predictive Analytics using machine learning techniques (using R/Python)

Financial Risk Management Track:

  • FERM 6305 Mathematics of Finance: from discrete time to continuous time finance
  • FERM 6306 Derivatives: their pricing and uses
  • FERM 6332 Financial risk management – from measurement to hedging

Corporate/Credit Risk Management Track:

  • FERM 6301 Basic financial accounting and financial statement analysis
  • FERM 6302 Corporate finance with attention to financial analysis and risk management
  • FERM 6334 Machine learning and its applications

Students are expected to complete projects using Excel, Tableau, SQL, Python, R, JavaScript, Ethereum (Solidity) by the time they graduate. They will also be exposed to Azure and RPAs (Automation Anywhere).

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