Program Structure and Requirements
The MSc in Applied Mathematics program consists of a minimum of 30 credit hours. The required program credits are distributed as follows: 12 credits of Program Core courses, 9 credits of Program Elective courses, and 9 credits of Applied Mathematics Master’s Thesis work. Students will be expected to discuss their selection of the elective courses with the Program Coordinator/Supervisor to ensure that it is coherent and supports their thesis topic. The table below presents a summary of the MSc in Applied Mathematics degree program structure and requirements. All the MSc in Applied Mathematics program courses, with the exception of the Master’s Thesis, have a credit rating of three credits each.
| Program Component |
Credit Hours |
| Program Core |
12 |
| Program Electives |
9 |
| Master’s Thesis |
9 |
| Total |
30 |
Program Requirements
Students seeking the degree of MSc in Applied Mathematics must successfully complete a minimum 30 credit hours as specified in the program requirements detailed below, with a minimum CGPA of 3.0. Course selection should be made in consultation with the student’s main adviser. All courses have a credit rating of three credits each, except the Master’s Thesis.
Program Core (12 credit hours)
The MSc in Applied Mathematics degree program core requires a minimum of 12 credits, consisting of the four courses, which are 3 credits each. The core courses are listed below.
Core Courses
Program Electives (9 credit hours)
Students must complete a minimum of 9 credits of electives from the list of courses given below. Students can also select one elective course (3 credits) from other offered MSc programs at KU, subject to the approval of their research advisor and the Associate Dean for Graduate Studies.
Elective Courses
| MATH 603 | Multivariate Data Analysis | 3 |
| MATH 610 | Model Estimation | 3 |
| MATH 611 | Quantitative Tools for Data Science | 3 |
| MATH 612 | Computational Methods and Optimization in Finance | 3 |
| MATH 613 | Financial Risk and Portfolio Management | 3 |
| MATH 614 | Factor Models with Machine Learning | 3 |
| MATH 615 | Abstract Algebra | 3 |
| MATH 616 | Linear Algebra and Optimization | 3 |
| MATH 617 | Numerical Solutions of Differential Equations | 3 |
| MATH 618 | Mathematical Biology | 3 |
| MATH 619 | Mathematical Methods for High-Dimensional and Discrete Data with Machine Learning Applications | 3 |
| MATH 620 | Advanced Statistical Inference | 3 |
| MATH 623 | Health Data Science | 3 |
| MATH 624 | Space-Time Data Science | 3 |
| MATH 626 | Financial Derivatives and Risk Management | 3 |
| MATH 630 | Research Methods in Science | 3 |
Masters Thesis (9 credit hours)
A student must complete a master’s thesis that involves creative research-oriented work within the broad field of Applied Mathematics, under the direct supervision of the main adviser, who must be a full-time faculty in the Department of Mathematics and at least one other full-time faculty who acts as co-adviser. The research findings must be documented in a formal thesis and defended successfully in a viva voce examination. Furthermore, the research should lead to publishable quality scholarly articles.
Thesis