MSc in Interdisciplinary Data Science-Mathematics in Tallahassee United States | Florida State University

Florida State University | Tallahassee United States
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Qualification
Masters Degree
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
USD 19,993
Attendance
Full-time
Full-time Duration
18 months

Our Master of Science program in Interdisciplinary Data Science with a Mathematics focus provides graduates access to diverse career paths in an expanding economic sector. This program equips students with sought-after expertise for government organizations and industries navigating the Big Data, Machine Learning, and AI revolution. The curriculum highlights the mathematical foundations of data science while developing competencies in data analysis, computational methods, and visualization techniques. Participants gain the mathematical framework to comprehend the inner workings of machine learning algorithms and data analysis processes. This mathematical approach fosters a thorough grasp of data science methodologies, enabling graduates to evaluate data, create visual representations, develop new techniques, and modify existing algorithms as needed. Beyond fundamental coursework, students explore specialized subjects including machine learning theory, network structures, computational linear algebra, optimization methods, and topological approaches to data analysis.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 6.5

Qualification Requirements

A bachelor's degree from a regionally accredited U.S. institution, or a comparable degree from an international institution, with a minimum 3.0 (on a 4.0 scale) grade point average (GPA) in all coursework attempted while enrolled as an upper-division undergraduate student working towards a bachelor's degree
Interdisciplinary Data Science
Students must have earned a Bachelor's degree from an accredited institution and have a minimum of 3.0 GPA (B or better average) on the last 60 hours of undergraduate credits. Students must be in good standing at the institution of higher learning last attended.

The following math courses are required prerequisites for admission to the math major.

Calculus I, II, and III (multivariate calculus)
Differential equations
Linear algebra
Probability and Statistics
Students should also have some experience in a programming language, such as C, C++, Fortran, Python, Julia, Matlab.
In addition to the required background, students are recommended to study numerical methods of mathematics, such as a course on Numerical Methods, Numerical Analysis, or Scientific Computing.
As a part of their application, students will provide a statement of intent and CV, or r'sum, and identify three recommenders who will write recommendation letters discussing the student's aptitude for graduate study.
Internet based TOEFL (IBTOEFL): 80
Paper based TOEFL (TOEFL): 550
International English Language Testing System (Academic IELTS): 6.5

Tuition USD 19,993

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