The Master of Science in Mathematics in Finance program at NYU Courant comprises core courses, electives, and a Capstone Project. The majority of the core courses are offered during both the fall and spring semesters in order to accommodate the schedules of both full- and part-time students. Full-time students begin with **Core Level 1** courses in their first semester, then take **Core Level 2** courses and electives in their second and third (final) semesters. Part-time students can learn about their suggested schedule of courses here.

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The program offers an optional three-week summer boot camp for incoming students every August. The purpose of the Bootcamp is to help students prepare for the summer internship search, which starts in early September, and to refresh topics in mathematics and computer science they will encounter both in internship interviews and throughout the program.

- Communication skills: Written and spoken English, business communication, clear speech.
- The financial industry: Overview of the financial industry, its career opportunities and recruiting timelines.
- Job-searching skills: Creating impactful resumes, cover letters and LinkedIn profiles; applying for internships and jobs; introduction to networking skills.
- Interviewing skills: Mastering behavioral and quantitative interviews; mathematical prerequisites for interviews.
- Interactive math review: Calculus, linear algebra, probability and statistics and interview-type question practice.
- Programming skills: Data types; operators; control structures; classes and objects; and packages. Procedural vs. object-oriented programming.

The instruction is a combination of lectures, interactive workshops, guided study groups, and lab-based learning. In addition, several industry talks, alumni panels, and company presentations are held throughout the three weeks.

2nd week of August: Math Week

3rd week of August: Career Readiness & Soft Skills Preparation Week

4th week of August : Programming Week

Saturdays: Alumni Networking and Employer Events

Information sessions for the Bootcamp and Summer Readings & Assignments are held in May and early June.

Mathematics in Finance at NYU Courant offers a range of study plans and programs to fit your needs and goals. Many students are interested in pursuing their MS in Mathematics in Finance full-time. Others have full-time jobs and would like to advance their skills on a part-time basis. Still, others may want to take only one or two classes at a time. Our variety of options are designed to suit your needs and goals, no matter what they are.

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In order to best prepare students to pursue successful careers in quantitative finance, the MS in Mathematics in Finance program has more core courses than most similar programs. It also requires successful completion of a Capstone Project.

Students are required to complete **36 points** of coursework including a Capstone Project. There are **nine (9)** required courses totaling 21 points (*see below*). **Fifteen (15)** points are earned through elective courses.

**Core Courses**

- Computing in Finance, MATH-GA 2041 (3 points)
- Data Science and Data-Driven Modeling, MATH-GA 2070 (1.5 points)
- Dynamic Asset Pricing, MATH-GA 2793 (1.5 points)
- Financial Securities and Markets, MATH-GA 2791 (3 points)
- Machine Learning & Computational Statistics, MATH-GA 2071 (1.5 points)
- Project & Presentation, MATH-GA 2755 (3 points)
- Risk and Portfolio Management, MATH-GA 2751 (3 points)
- Scientific Computing, MATH-GA 2043 (3 points)
*or*Scientific Computing in Finance, MATH-GA 2048 (3 points) - Stochastic Calculus, MATH-GA 2903 (1.5 points)

Working in small groups of two to three, students complete their Capstone Project as part of the Project & Presentation course. They receive guidance and supervision from faculty or financial industry professionals as they conduct novel research in different areas of quantitative finance and financial data science. Each group produces a written report and delivers a final presentation of their work.

All members of the MS in Mathematics in Finance community—including students, faculty, fellows, graders, and administrators—are expected to uphold the highest standards of academic integrity. This is a shared responsibility that we must maintain together.

Given the nature of the financial industry, and its interview-focused hiring process, learning and strengthening your skills are more important than earning the highest grade. Plainly, the consequences of cheating are serious for all parties involved, including the Mathematics in Finance program as a whole.

In the event that an infraction occurs, course instructors are required to notify both the suspected student and program leadership within two days of learning of the infraction. Program leadership will meet with the student to discuss the incident and decide on a penalty, which they will share with the Vice Dean of the Graduate School of Arts and Science. All disciplinary actions must be taken in accordance with the policies of GSAS. Students must also be made aware of their right to appeal the decision as outlined in the GSAS policy document.

Students will ensure that the rules set forth by each instructor are followed for each class. Rules such as the use of outside resources, common write-ups, and code sharing should be followed as outlined by each instructor.

Students are required to immediately report cheating incidents they observe to the program administrator or to a faculty member. In addition, they should report situations that encourage cheating, such as extreme workloads, graders or instructors who tolerate or do not detect obvious cheating, or improperly supervised exams.

During an exam, students may not communicate in any way, nor use any materials or technology not explicitly permitted by the instructor, other than pens and pencils. No cell phone or other electronic devices may be used during the exam; they should be stored away. Students may not look at each other’s tests during the exam.

A student caught cheating on an assignment may have their grade for the class reduced by one letter on the first offense and their grade reduced to an F on the second offense. Cheating on an exam will immediately result in an F for the class. Repeated offenses or offenses in multiple classes may result in more serious penalties including expulsion from the program.

Students are not allowed to record (photography, audio, and/or video) any lectures, seminars, or other school activities or sessions without written permission of the instructor(s).

Students are not permitted to share course materials outside of class without written permission of the instructor(s).

All University students are expected to be aware of and to adhere to, the standards set forth in the following policies listed on NYU’s Overview of Student Conduct Policies Page.