Master of Science in Financial Mathematics

The program is currently not offered.

Total Credits
33

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Mission

A Master of Science degree in Financial Mathematics prepares students to work effectively in a wide spectrum of financial service industries such as investment firms, commercial banks, brokerage houses, consulting firms, and other related corporations; helps students to synthesize a highly technical branch of mathematics and measure theoretic probability with practical applications that affect everybody’s life; emphasizes problem-solving skills that dramatically increase the graduate value to an employer; and prepares students to pursue Ph.D. programs in Financial Mathematics or related fields.

Program Educational Objectives

The main objectives of the program of the Master of Science in Financial Mathematics are to:

1.Prepare students for successful professional careers in Financial Mathematics or other related areas
2.Equip students with skills relevant to the practice of advanced Financial Mathematics, among which are independent and critical thinking and problem-solving techniques.
3.Build up the students’ oral and written Financial Mathematical communication skills which enable them to present their ideas efficiently.
4.Equip students with academic and analytical skills needed to pursue Ph.D. programs in Financial Mathematics or other related disciplines.
5.Promote collaborative work among students to help them function effectively in a professional workplace or in a graduate program.

Program Learning Outcomes

The Master of Science in Financial Mathematics of Notre Dame University-Louaize aims to prepare graduate students to apply mathematical ideas to financial models, based on fundamental analytical principles. It also aims to prepare students to become financial decision-makers. Among the learning outcomes are:

1.Theoretical and practical knowledge of advanced principles and techniques of stochastic and probabilistic methods in mathematics.
2.In depth knowledge of fundamental concepts of mathematics as applied to Financial Mathematics and risk analysis.
3.An overview of the area of scientific research and development in Financial Mathematics, and in-depth knowledge of at least one area in this field of applied mathematics, as is demonstrated through a written thesis.
4.The ability to reason mathematically by constructing proofs and logical arguments. Also, students will be able to work with autonomy, make conjectures, construct financial models, solve problems, and test the accuracy of their work.
5.The ability to write and effectively communicate mathematical ideas as will also be demonstrated by the thesis.

Admission Requirements

In addition to the University’s graduate admission requirements, students holding a BS in Mathematics with a cumulative GPA of at least 3.0 (or the equivalent) will be accepted. Those with a cumulative GPA between 2.7 and 2.99 (or the equivalent) will be conditionally accepted.

Conditionally accepted students may take up to 6 credits (two 3-credit courses) in their first semester. The conditional acceptance will be lifted when the student achieves a minimum grade of “B” in each of these courses taken during their first semester.

Students may also be admitted with some remedial undergraduate courses in Mathematics. To qualify, they must achieve an average passing grade of 2.7/4.0 (“B-”) across these remedial courses. Note that these supplementary credits do not count toward the 33 credits required for the MS degree.

Additionally, a maximum of 9 transfer credits from previous graduate work completed at another accredited institution may be accepted at the discretion of the Faculty Graduate Committee.

Graduation Requirements

To satisfy the requirements for the degree of Master of Science in Financial Mathematics, the student must complete a total of 33 credits with a cumulative GPA of at least 3.0/4.0 with no more than 2 Cs. The minimum passing grade of a graduate course is C.

Courses

Core and Major Requirements (18cr.)

Elective Requirements (9cr.)

Select 9 credit hours from the following options:

Thesis Requirements (6cr.)

3 FMA 691 Master Thesis I

3 FMA 692 Master Thesis II

GRADUATION REQUIREMENTS

Core and Major Requirements

18 Cr

Elective Requirements

9 Cr

Thesis Requirements

6 Cr

Minimum Cumulative GPA

3.0

4.0

Total 33 Credits