Applied and Computational Mathematics Curriculum Overview

Now is a great time to focus on your studies to secure a senior-level mathematics-focused career to help organizations calculate risks, manage change, and guide decision-making efforts. The Home-to-Hopkins master’s in applied and computational mathematics provides the framework for you to incorporate design and mathematical algorithms into modern technologies. Jump-start your degree online at home. Then, transfer to on-campus learning in the second year in Baltimore. The structure of this program provides the benefit of being able to apply for OPT.

Here’s a sample course of study, by focus area, for Applied and Computational Mathematics for students enrolled in the Home-to-Hopkins program. 

SAMPLE COURSE OF STUDY

YEAR ONE

Fall 2022 (FROM HOME)

  • 625.603                Statistical Methods and Data Analysis
  • 625.601                Real Analysis

Spring 2023 (FROM HOME)   

  • 625.661                Statistical Models & Regression
  • 625.692                Probabilistic Graphical Models

YEAR TWO

Fall 2023 (IN BALTIMORE, MARYLAND) 

  • 553.632                Bayesian Statistics
  • 625.721                Stochastic Processes I
  • 553.766                Combinatorial Optimization

Spring 2024 (IN BALTIMORE, MARYLAND)  

  • 553.639                Time Series Analysis
  • 625.722                Stochastic Processes II
  • 553.764                Modeling, Simulation & Monte Carlo

Applied and Computational Mathematics Master's Program

Find out more about the Applied and Computational Mathematics program offered through Engineering for Professionals. Review available focus areas, program outcomes, topics covered, and more.

Go to the applied and computational mathematics Master's Program Page

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Applications are being accepted now for a start as early as summer 2022, which begins May 31, or fall 2022. Three easy steps to apply (1) Create an application account (2) Select Engineering for Professionals (3) Select your major and choose Home-to-Hopkins.

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