Master of Science in Applied and Computational Mathematics offered by Johns Hopkins University
- Private University
140 acre campus- Estd. 1876
Master of Science in Applied and Computational Mathematics at Johns Hopkins University Overview
Master of Science in Applied and Computational Mathematics
at Johns Hopkins University
Learn everything you need to know about general applied mathematics and give a boost to your professional career
Duration | 24 months |
Total fee | ₹20.87 Lakh |
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | PG Degree |
Master of Science in Applied and Computational Mathematics
Table of contents
Master of Science in Applied and Computational Mathematics at Johns Hopkins University Highlights
Master of Science in Applied and Computational Mathematics
at Johns Hopkins University
- Earn a degree from John Hopkins University
- Learn from industry experts
Master of Science in Applied and Computational Mathematics at Johns Hopkins University Course details
Master of Science in Applied and Computational Mathematics
at Johns Hopkins University
Skills you will learn
Who should do this course?
- Students with undergraduate degrees in science, technology, engineering, or related fields who want to strengthen their mathematical and computational abilities for applications in their respective disciplines
- Working professionals in fields such as engineering, finance, data science, and computer science who wish to enhance their analytical and problem-solving skills through advanced mathematical training
What are the course deliverables?
- Applied Analysis
- Information Technology and Computation
- Operations Research
- Probability and Statistics
- Simulation and Modeling
More about this course
- The Applied and Computational Mathematics program is devoted to the study and development of mathematical disciplines especially oriented to the complex problems of modern society
- This course is designed to equip students with advanced mathematical knowledge and computational skills to tackle real-world problems across various fields
Master of Science in Applied and Computational Mathematics at Johns Hopkins University Curriculum
Master of Science in Applied and Computational Mathematics
at Johns Hopkins University
Statistical Methods and Data Analysis
Real Analysis
Matrix Theory
Advanced Differential Equations: Partial Differential Equations
Advanced Differential Equations: Nonlinear Differential Equations and Dynamical Systems
Probability and Stochastic Process I
Probability and Stochastic Process II
Theory Of Statistics I
Theory of Statistics II
Master of Science in Applied and Computational Mathematics at Johns Hopkins University Entry Requirements
Master of Science in Applied and Computational Mathematics
at Johns Hopkins University
PTE
- No specific cutoff mentioned
Other eligibility criteria
- Education: Bachelor's degree from recognised university
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Master of Science in Applied and Computational Mathematics at Johns Hopkins University Contact Information
Master of Science in Applied and Computational Mathematics
at Johns Hopkins University