The Stevens Quantitative Finance (QF) program has been designed to provide students with a thorough and rigorous foundation in this multi- disciplinary field. Students will be selected for strong quantitative aptitude, high motivation and work ethic, and a strong interest in the field of Computer Science, Business and Finance.
Over the course of eight semester terms, through approximately 137 credit-hours of course work, students may choose to follow one out of main “threads” in the Quantitative Finance (QF) curriculum.
Quantitative Finance Curriculum
Term I
| HASS 103 | Writing and Communications Colloquium | 3 |
| | |
| MA 121 | Differential Calculus | 2 |
| MA 122 | Integral Calculus | 2 |
| | |
| MIS 110 | Creative Problem Solving in Computing | 3 |
| QF 101 | Quantitative Finance | 3 |
| QF 104 | Data Management in R | 1 |
| QF 106 | Fundamentals of Probability for Finance | 3 |
| PRV 101 | First Year Experience | 1 |
Term II
| HASS 105 | Knowledge, Nature, Culture | 3 |
| | |
| MA 125 | Vectors and Matrices | 2 |
| MA 126 | Multivariable Calculus I | 2 |
| | |
| CS 115 | Introduction to Computer Science | 4 |
| QF 102 | Basic Financial Tools | 3 |
| QF 112 | Statistics Quantitative Finance | 3 |
| QF 103 | Introduction to Financial Tools and Technology | 1 |
| BT 290 | Business Career Seminar | 0 |
Term III
| MA 221 | Differential Equations | 4 |
| CS 135 | Discrete Structures | 4 |
| Or | |
| MA 134 | Discrete Mathematics | 3 |
| ACC 200 | Principles of Financial Accounting | 3 |
| QF 200 | Financial Econometrics | 3 |
| QF 212 | Advanced Probability and Stochastic Processes for Quantitative Finance | 3 |
| PRV 20X | Frontiers of Technology | 1 |
| PRV 20X | Frontiers of Technology | 1 |
Term IV
Term V
| MGT 300 | Business Communications | 3 |
| QF 301 | Advanced Time Series Analytics and Machine Learning | 3 |
| QF 430 | Introduction to Derivatives | 3 |
| CS 385 | Algorithms | 4 |
| | |
| BT 325 | Financial Statement Analysis | 3 |
| Or | |
| FIN 510 | Financial Statement Analysis | 3 |
| | |
QF
| Concentration | 3 |
Term VI
| QF 302 | Financial Market Microstructure and Trading | 3 |
| QF 343 | Introduction to Stochastic Calculus for QF | 3 |
QF
| Concentration | 3 |
QF
| Elective | 3 |
| Humanities Requirement 100-200 Level | 3 |
Term VII
| QF 435 | Risk Management for Capital Markets | 3 |
| MGT 411 | Senior Design I | 3 |
QF
| Elective | 3 |
QF
| Concentration | 3 |
| General Elective | 3 |
Term VIII
QF
| Concentration | 3 |
| MGT 412 | Senior Design II | 3 |
QF
| Elective | 3 |
| General Elective | 3 |
| Humanities Requirement 300-400 Level | 3 |
Note:
SUCCESS Core Curriculum: Students must complete requirements including PRV 101, and three (3) courses from PRV 201, PRV 202, PRV 203, PRV 204, PRV 205.
HASS 103, HASS 105, and Humanities Requirement: Students are required to take two additional Humanities courses other than HASS 103 and HASS 105. One must be at the 100/200 level and one must be at the 300/400 level. Courses must cover at least two different disciplines.
Choose a Quantitative Finance (QF) concentration from Accounting, Data Analytics, Quantitative Methods, Computer Science, Finance, Fintech and Economics.
Choose from a list of approved Quantitative Finance (QF) electives.
Students can select one of the following Quantitative Finance (QF) concentrations:
Accounting:
This thread draws on the advanced accounting curriculum and is designed to give an in depth look into the field of accounting. Students will begin with intermediate Accounting 1 and 2 and choose from electives that will focus on specialized areas in accounting.
Required Coursework:
Students select 2 courses from the following:
| ACC 421 | Audit and Assurance | 3 |
| ACC 431 | Advanced Accounting | 3 |
| ACC 351 | Federal Taxation of Individuals | 3 |
| ACC 510 | Financial Statement Analysis | 3 |
| Or | |
| FIN 510 | Financial Statement Analysis | 3 |
| ACC 535 | Accounting Data Analytics and Information Systems | 3 |
| ACC 552 | Tax Compliance and Planning for Business Entities | 3 |
| ACC 555 | Retirement and Estate Planning | 3 |
| ACC 585 | Fraud Examination and Forensic Investigation | 3 |
Data Analytics:
Students select 4 courses from the following:
| BT 370 | Human Centered Design | 3 |
| BT 417 | Market Analytics & Research | 3 |
| BT 422 | Decision Making | 3 |
| BT 435 | Social Media and Network Analysis | 3 |
| BT 466 | Data Analytics | 3 |
| CS 442 | Database Management Systems | 3 |
| CS 546 | Web Programming | 3 |
| CS 559 | Machine Learning: Fundamentals and Applications | 3 |
| BIA 568 | Management of AI Technologies | 3 |
| BIA 660 | Web Mining | 3 |
| BIA 674 | Supply Chain Analytics | 3 |
| FA 550 | Data Visualization Application | 3 |
| FA 595 | Financial Technology | 3 |
| MIS 401 | Deep Learning and Large Language Models for Business Analytics | 3 |
Quantitative Methods:
This thread draws on the curriculum of Stevens’ Mathematics department and includes a minimum of one year of calculus, and one year of probability and statistics. Electives in this thread extend to more advanced calculus (multivariable, stochastic) and other quantitative techniques used in advanced financial applications.
Required Coursework:
| MA 232 | Linear Algebra | 3 |
| MA 331 | Intermediate Statistics | 3 |
| FE 530 | Introduction to Financial Engineering | 3 |
| MA 575 | Optimization Models in Quantitative Finance | 3 |
Computer Science:
This thread draws on the curriculum offered by the Stevens Computer Science department (in the School of Science and Engineering). It begins at the introductory level, building to a reasonable proficiency in C++, basic financial modeling tools and techniques, and an intermediate level of proficiency in web- based programming; beyond the required core. There are elective courses in fields such as data mining, machine learning and computerized trading platform architectures for students interested in developing advanced computer science capabilities.
Students select 4 courses from the following:
| BIA 660 | Web Mining | 3 |
| CS 442 | Database Management Systems | 3 |
| CS 546 | Web Programming | 3 |
| CS 559 | Machine Learning: Fundamentals and Applications | 3 |
| FE 522 | C++ Programming in Finance | 3 |
| FA 550 | Data Visualization Application | 3 |
Finance:
This thread draws on the Business & Technology Program. It encompasses the standard business and finance foundation disciplines such as accounting, economics, corporate and international finance and capital markets—as well as QF—specific topics such as financial engineering, risk management, and market regulation & securities law.
Required Coursework:
| BT 426 | Equity Valuation | 3 |
| BT 440 | Money, Banking and Financial Institutions | 3 |
Students select 2 courses from the following:
| BT 425 | Portfolio Management | 3 |
| BT 442 | Fixed Income Analysis | 3 |
| BT 454 | International Economics and Finance | 3 |
| FIN 420 | A Survey of Topics in Financial Technology | 3 |
Fintech
Required Coursework:
| FIN 420 | A Survey of Topics in Financial Technology | 3 |
| FA 590 | Statistical Learning | 3 |
Students select 2 courses from the following:
| FA 591 | Blockchain Technologies & Decentralized Finance | 3 |
| FA 596 | Digital Payment Technologies and Trends | 3 |
Economics
Students select 4 courses from the following:
| BT 343 | Intermediate Macroeconomics | 3 |
| BT 344 | Intermediate Microeconomics | 3 |
| BT 436 | Game Theory | 3 |
| BT 454 | International Economics and Finance | 3 |
| MGT 451 | Computational Models of Thought and Behavior | 3 |
| ECON 401 | The Future of Work in the Age of AI | 3 |