Note that courses offered by schools other than EN (Engineering) or Arts & Sciences (AS) must be registered for using the Registrar’s Interdivisional Registration form (IDR). This includes courses offered by Carey (BU), or Engineering for Professionals (EP). This form will require your advisor’s signature. The signed form must then be submitted to SEAM.
Core financial mathematics requirements (2 courses)
Course # | Course Name | Semester Typically Offered |
EN.553.644 | Introduction to Financial Derivatives | Fall |
EN.553.645 | Interest Rate and Credit Derivatives | Spring |
Core applied mathematics requirements (3 courses)
Course # | Course Name | Semester Typically Offered |
EN.553.613 or EN.553.636 | Applied Statistics and Data Analysis Introduction to Data Science |
Fall |
EN.553.627 | Stochastic Processes and Applications to Finance | Fall |
EN.553.639 | Time Series Analysis | Spring |
Electives (7 courses)
Of the electives –
- One elective must be in Applied Mathematics and Statistics
- Two electives must be in Financial Mathematics
- Four additional electives should be from the approved electives listing and can be Financial Mathematics, Applied Mathematics and Statistics or Free Electives.
Selection of electives must be done with advisor and Program Director approval. Students are required to take a minimum of 2 Financial Mathematics electives and 1 Applied Mathematics and Statistics Elective. Students can then chose the remaining 4 required electives from the list of approved electives. If a student wishes to have a course considered that is not on the approved elective lists they must submit the course details to their Faculty Advisor or the Academic Program Coordinator for Program Committee review.
Students can choose any of the courses listed below. Alternatively, they can choose to tailor their selection of electives based on one of the following concentrations:
- Asset Management
- Derivatives
- Fixed Income and Commodities
- Risk Management
- Quantitative, Algorithmic, High-Frequency Trading
Approved Financial Mathematics Electives (at least 2 courses)
Course # | Course Name | Semester Typically Offered | Concentration |
EN.553.601 | Introduction to Research | Spring | |
EN.553.640 | Machine Learning in Finance | Spring | |
EN.553.641 | Equity Markets and Quantitative Trading | Spring |
|
EN.553.642 | Investment Science | Fall |
|
EN.553.646 | Risk Measurement/Management in Financial Markets | Fall |
|
EN.553.647 | Quantitative Portfolio Theory and Performance Analysis | Spring |
|
EN.553.648 | Financial Engineering and Structured Products | Spring |
|
EN.553.649 | Advanced Equity Derivatives | Fall |
|
EN.553.688 | Computing for Applied Mathematics | Spring |
|
EN.553.748 | Credit and Systemic Risk | ||
EN.553.749 | Advanced Financial Theory | Fall |
|
EN.553.753 | Three Key Aspects of Climate Change: Energy Transition, Critical Metals, and Sustainable Agriculture (formerly titled Commodities & Commodity Markets) | Spring |
|
EN.660.614 | Financial Statement Analysis | Spring |
Approved Applied Mathematics Electives (at least 1 course)
Course # | Course Name | Semester Typically Offered | Concentration |
AS.110.405 | Real Analysis I | Fall/Spring | |
AS.110.605 | Real Variables | Fall | |
AS.110.653 | Stochastic Differential Equations: An Introduction With Applications | Fall | |
EN.520.650 | Machine Intelligence | Spring | |
EN.553.600 | Mathematical Modeling and Consulting | Fall | |
EN.553.602 | Research and Design in Applied Mathematics: Data Mining | Spring | |
EN.553.614 | Applied Statistics and Data Analysis II | Spring | |
EN.553.628 | Stochastic Processes and Applications to Finance II | Spring |
|
EN.553.630 | Introduction to Statistics | Spring | |
EN.553.632 | Bayesian Statistics (students make take 553.632 or 553.732, but not both) | Fall |
|
EN.553.633 | Monte Carlo Methods | Fall |
|
EN.553.636 | Introduction to Data Science | Spring |
|
EN.553.640 | Machine Learning in Finance | Spring | |
EN.553.653 | Mathematical Game Theory | Spring | |
EN.553.661 | Optimization in Finance | Fall |
|
EN.553.665 | Introduction to Convexity | Fall | |
EN.553.667 | Deep Learning in Discrete Optimization | Spring | |
EN.553.680 | Numerical Linear Algebra | Fall | |
EN.553.681 | Numerical Analysis | Spring | |
EN.553.688 | Computing for Applied Mathematics | Spring | |
EN.553.693 | Mathematical Image Analysis | Spring | |
EN.553.720 | Probability Theory I (measure-theoretic) | Fall | |
EN.553.721 | Probability Theory II (measure-theoretic) | Spring | |
EN.553.722 | Introduction to Stochastic Calculus | Fall | |
EN.553.723 | Markov Chains | Spring | |
EN.553.730 | Statistical Theory I | Fall |
|
EN.553.731 | Statistical Theory II | Spring | |
EN.553.732 | Bayesian Statistics (students make take 553.632 or 553.732, but not both) | Fall | |
EN.553.739 | Statistical Pattern Recognition: Theory and Methods | Spring | |
EN.553.740 | Machine Learning | Fall |
|
EN.553.761 | Foundations of Optimization/Nonlinear Optimization I | Fall | |
EN.553.762 | Optimization Algorithms/Nonlinear Optimization II | Spring | |
EN.553.763 | Stochastic Search and Optimization | Spring | |
EN.553.764 | Modeling, Simulation and Monte Carlo | Spring | |
EN.553.766 | Combinatorial Optimization | Spring | |
EN.553.792 | Matrix Analysis | Fall | |
EN.601.675 | Machine Learning | Fall/Spring | |
EN.601.682 | Machine Learning: Deep Learning | Fall/Spring | |
EN.660.614 | Financial Statement Analysis | Spring |
Approved Free Electives
Course # | Course Name | Semester Typically Offered |
AS.180.601 | Microeconomic Theory I | Fall |
AS.180.602 | Microeconomic Theory II | Spring |
AS.180.603 | Macroeconomic Theory I | Fall |
AS.180.604 | Macroeconomic Theory II | Spring |
AS.180.607 | Applied Microeconomics | Fall |
AS.180.611 | Economics of Uncertainty/Economics of Information I | Spring |
AS.180.612 | Economics of Uncertainty/Economics of Information II | Spring |
AS.180.633 | Econometrics | Spring |
AS.180.641 | International Finance and Trade | Fall/Spring |
AS.180.647 | Topics in Economic Theory and Finance | Fall |
BU.756.715 | Financial Risk Management | Fall/Spring |
BU.756.720 | Fixed Income Securities | Spring |
EN.520.651 | Foundations of Probabilistic Machine Learning | Fall |
EN.530.641 | Statistical Learning for Engineers | Fall |
EN.553.602 | Research and Design in Applied Mathematics: Data Mining | Spring |
EN.553.643 | Energy Markets and Risk Management | Fall |
EN.570.470 | Applied Economics and Finance | Fall/Spring |
EN.570.487 | Financial Market Research | Fall |
EN.570.493 | Economic Foundations for Environmental Engineering and Policy Design | Fall |
EN.570.607 | Energy Policy and Planning Models | Spring |
EN.601.615 | Databases | Fall |
EN.601.621 | Object Oriented Software Engineering | Fall/Spring |
EN.601.633 | Intro Algorithms | Fall/Spring |
EN.601.644 | Network Security | Fall |
The Area of Focus Track can also be customized with advisor permission.
The program is designed to be completed by students in three semesters. It will begin with a late-summer orientation session and proceed through three successive semesters, utilizing the winter intersession of the first year and the summer prior to the last semester, for an internship with industry. Students can opt to complete their degree requirements by following two various tracks.
All students choosing this track must take the following:
Core financial mathematics requirements (4 courses, 553.64X)
- EN.553.642 Investment Science
- EN.553.644 Introduction to Financial Derivatives
- EN.553.645 Interest Rate and Credit Derivatives
- EN.553.648 Financial Engineering and Structured Products or EN.553.646
- Risk Measurement/Management in Financial Markets
- Core applied mathematics requirements (5 courses, excludes 553.64X)
- EN.553.627 Stochastic Processes and Applications to Finance
- EN.553.633 Monte Carlo Methods
- EN.553.613 Applied Statistics and Data Analysis
- EN.553.639 Time Series Analysis
- EN.553.661 Optimization in Finance
Of the electives –
- One course in Applied Mathematics and Statistics
- One course in Financial Mathematics
- One additional course with prior program approval
Other Required Courses/Training:
- EN.553.847 Financial Mathematics Masters Seminar
- EN.553.803 Computing requirement (Financial Computing Workshop)
- Communication skills requirement (Communication Skills Practicum, which includes Fall/Spring courses)
- Internship (typically done during summer after first year in residence)
- Every student must complete training on the Responsible Conduct of Research.
- Every student must complete the University Orientation and Academic Ethics course.
THE LEGACY TRACK REQUIREMENTS WILL NORMALLY BE COMPLETED ACCORDING TO THE FOLLOWING SCHEDULE:
Prior to Fall Semester of Year I (2 weeks)
- Orientation Program
Fall Semester of Year I
- EN.553.627 Stochastic Processes and Applications to Finance
- EN.553.633 Monte Carlo Methods
- EN.553.642 Investment Science
- EN.553.644 Introduction to Financial Derivatives
- EN.553.847 Financial Mathematics Masters Seminar
Winter Intersession (2 weeks)
- Financial Computing Workshop
Spring Semester of Year I
- EN.553.639 Time Series Analysis
- EN.553.645 Interest Rate and Credit Derivatives
- EN.553.648 Financial Engineering and Structured Products (**optional, see below)
- Elective 1
- EN.553.847 Financial Mathematics Masters Seminar
Summer after Year I
- Internship
Fall Semester of Year II
- EN.553.613 Applied Statistics and Data Analysis
- EN.553.646 Risk Measurement/Management in Financial Markets (**optional if EN.553.648 was already taken, see below)
- EN.553.661 Optimization in Finance
- Elective 2
- Elective 3
- EN.553.847 Financial Mathematics Masters Seminar
**Students must take either EN.553.646 or EN.553.648 to fulfill their core requirements. If both courses are taken, one of them can count as a Financial Mathematics Elective.
The internship is typically completed during the summer following the first academic year, but it is also possible for a student to complete it during a fall or spring semester
when they are on leave of absence in the program. In any case, it must be completed before the student’s final semester of coursework. Note that in the special circumstance of students who start their program in the U.S. in the spring semester and plan to graduate after three semesters, those students would need to complete their internship in the summer following their spring arrival.
Additional information regarding the process and regulations governing CPT for international students can be found here: https://ois.jhu.edu/Immigration_and_Visas/F1_Student/F-1_Training_and_Employment/Curricular_Practical_Training/.
Your request for CPT will be forwarded to your ADVISOR for approval. If you do not hear back from your advisor within 5 days, please contact OIS and request that they redirect your CPT request to the Department Head for approval. It may be that your advisor is out of town and unable to respond to emails. OIS will not prioritize “urgent” requests for CPT. Your request will be processed in the order in which it is received.
You may want to email your advisor to give him/her a heads up that the request will be coming after you complete the required process through OIS.
Internships Q&A
What if my offer letter indicates I am an “independent contractor”?
Answer: CPT is specifically designed for students who are obtaining training. Independent contractor positions do not qualify for Curricular Practical Training. Students must provide documentation confirming that they will be under direct supervision of someone who is providing them with training and therefore, not acting on their own.
Question: If my internship is unpaid, do I still need to file for CPT?
Answer: YES! CPT permission should be considered for all practical, curriculum related experiences off campus, paid or unpaid. Receipt of any benefits, whether monetary or in kind, could be considered employment by immigration, even if the internship is unpaid. OIS strongly encourages all foreign nationals to file for CPT so that they are not in danger of breaking any U.S. labor laws which may jeopardize their visa status.
Question: I have been unable to register for 500.851. What should I do?
Answer: The Registrar suggests that you submit your request to register for 500.851 directly to SEAM along with a copy of your internship letter. Apparently they now require the internship offer letter before approving registration for this course.
Required Intersession courses are held in January for 2 weeks prior to the start of the Spring semester. Information regarding registration for Intersession will be emailed to enrolled students.
The Financial Computing Workshop (EN.553.803) is held during Intersession. All FM students are required to successfully complete this course.
An overall GPA of 3.0 must be maintained in courses used to meet the program requirements. At most two course grades of C or C+ are allowed to be used, and the rest of the course grades must be B- or better.
A full-time master’s student who fails, in a given semester, to receive a grade of B- or better in at least two courses in their master’s program (not counting the department seminar) will be placed on Academic Probation. For a full-time master’s student on Academic Probation, failure to pass at least two courses with a B- or better in their master’s program (not counting the department seminar) is grounds for dismissal. Also, in any given semester, whether or not a student is on Academic Probation, they may be dismissed if they fail to receive any grades of B- or better in their master’s program (not counting the department seminar).