Financial Systems and Analytics Specialization
As financial markets become more electronic and more liquid, a higher degree of knowledge about systems and analytics is required in order to compete. Modern financial markets function as a network of systems and information flows. Understanding how these work is becoming increasingly important for careers in virtually all areas of finance including investment banking, sales and trading, asset management, and administration. This specialization covers areas useful for careers in trading, hedge funds, risk management, information technology, and operations.Courses in this specialization are of two types:
- Breadth courses describe how various financial markets work and the kinds of systems, processes, and people required for managing financial businesses.
- Depth courses provide tools and decision making skills geared towards trading, risk management, or the management of information technology and operations in a financial services company. Specifically, they provide skills that include building investment strategies, analyzing them, understanding how to compare different types of strategies or portfolio managers, how to calculate risk and know when to use various risk models, and how to use computers to exploit opportunities in financial markets.
The specialization should be particularly useful to those seeking careers in any industry where information technologies and data play a key role in managing risk. Examples include trading, risk management, sales, analysts, management of information technology and operations, payment systems, etc. The specialization should also be useful to those interested in careers in the hedge fund industry and in consulting.
Academic Advisor: Professor Norman White, 212-998-0842
Course List
Take 9 credits from the following list:| Course Number | Course Title |
| ACCT-GB.3304 | Modeling Financial Statements |
| ACCT-GB.3328 | Financial Statement Analytics Using Python |
| ACCT-GB.3344 | Modeling Corporate Transactions (Advanced Modeling) |
| ACCT-GB.4310 | Empirical Research in Financial Accounting II |
| FINC-GB.2310 | Managing Financial Businesses |
| FINC-GB.3112 | Risk Management in Financial Institutions |
| FINC-GB.3149 | Structure and Dynamics of Financial Markets |
| FINC-GB.3312 | Risk Management in Financial Institutions |
| FINC-GB 3324 | Digital Currency, Blockchains & the Future of the Financial Services Industry |
| FINC-GB.3349 | Equity Markets: Trading and Structure |
| INTA-GB.2312 | FinTech Risk Management |
| OPMG-GB.2350 | Decision Models and Analytics |
| OPMG-GB.2351 | Decision Making Under Uncertainty |
| OPMG-GB.2360 | Real Estate Development and Entrepreneurship |
| STAT-GB.2301 | Regression and Multivariate Data Analysis |
| STAT-GB.2302 | Forecasting Time Series Data |
| STAT-GB.2308 | Applied Stochastic Processes for Financial Models |
| STAT-GB.2309 | Mathematics of Investment |
| STAT-GB.3301 | Introduction to the Theory of Probability |
| STAT-GB.3302 | Statistical Inference and Regression Analysis |
| STAT-GB.3306 | Time Series Analysis |
| STAT-GB.3310 | Applications of Statistical Models to Business, Politics and Policy |
| STAT-GB.3321 | Introduction to Stochastic Processes |
| TECH-GB.2135 | Programming in Python |
| TECH-GB.2335 | Programming in Python and Fundamentals of Software Development |
| TECH-GB.2336 | Data Science for Business Analytics - Technical |
| TECH-GB.2346 | Dealing with Data |
| TECH-GB.2350 | Robo Advisors and Systematic Trading |
| TECH-GB.3333 | Practical Big Data |
| TECH-GB.3336 | Data Mining for Business Analytics - Managerial |
| TECH-GB.3350 | Financial Information Systems |
| TECH-GB.3351 | Risk Management in IT |
For course descriptions, please see the Office of Records & Registration website.