Financial Mathematics, Master of Science in Engineering
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بالتسجيل، فإنك توافق على بيان الخصوصية و الشروط والأحكام.
| تاريخ بدء البرنامج | آخر موعد للتسجيل |
| 2026-09-01 | - |
| 2027-09-01 | - |
نظرة عامة على البرنامج
Financial Mathematics, Master of Science in Engineering
The financial mathematics masters program at Johns Hopkins is offered through the Department of Applied Mathematics and Statistics as a Master of Science in Engineering (MSE). The program takes three semesters to complete, with students starting in the later summer and finishing in mid-December. Students with a strong quantitative undergraduate background are encouraged to apply for admission to the program.
Program Overview
The Masters program in Financial Mathematics will provide a solid foundation in applied mathematics, providing the basis for an understanding and appreciation of existing models commonly used in financial applications and inferential and computational tools for developing their solution. The program will also furnish the appropriate insights in Finance where quantitative skills are most germane. The combination of these elements will create a springboard for addressing todays quantitative challenges in finance as well as provide the preparation to meet the challenges of the future.
Program Requirements
The Master of Science in Engineering (M.S.E.) in Financial Math requires a minimum of two semesters of registration as a full-time resident graduate student. For departmental certification for this degree, the student must complete the following courses or approved substitute courses with program approval pursuing either the Area of Focus Track or Legacy Track. Graduate students can also work with their advisors to customize the Area of Focus Track.
Area of Focus Track
- Core Financial Mathematics Requirement:
- EN.553.644: Introduction to Financial Derivatives (4 credits)
- EN.553.645: Interest Rate and Credit Derivatives (4 credits)
- Core Applied Mathematics Requirement:
- EN.553.613: Applied Statistics & Data Analysis I (4 credits)
- or EN.553.636: Introduction to Data Science
- EN.553.627: Stochastic Processes and Applications to Finance I (4 credits)
- EN.553.639: Time Series Analysis (3 credits)
- Electives:
- Select seven elective courses (21 credits)
- Financial Mathematics Seminar:
- EN.553.847: Financial Mathematics Masters Seminar (1 credit)
- Total Credits: 41
Additional Requirements
In addition to the above course requirements, all students must complete:
- A computing requirement (EN.553.803.01 Financial Computing Workshop) offered during Intersession only
- The communication skills requirement (Communication Skills Practicum)
- An internship (typically done during summer after first year in residence)
- A passing grade must be obtained in Responsible Conduct of Research
- A passing grade must be obtained in EN.500.603 Graduate Academic Ethics
Academic Performance
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. Please see department website for more details. Note that there is no official GPA calculated on the transcript for graduate students.
