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.

There are some opportunities to take online courses while in Baltimore as noted in the sample program.

APPLIED ANALYSIS

YEAR ONE

Fall 2022 (AT HOME/ONLINE) 

  • 625.601           Real Analysis (Virtual Live)
  • 625.603           Statistical Methods and Data Analysis

Spring 2023 (AT HOME/ONLINE) 

  • 625.687             Applied Topology (Virtual Live)
  • 625.717              Partial Differential Equations

YEAR TWO

Fall 2023 (IN BALTIMORE/ON-CAMPUS)    

  • 553.671              Combinatorial Analysis
  • 110.653              Stochastic Differential Equations
  • 625.718              Nonlinear Differential Equations (online)

Spring 2024 (IN BALTIMORE/ON-CAMPUS)  

  • 553.626              Introduction to Stochastic Processes
  • 553.766              Combinatorial Optimization
  • 625.728              Theory of Probability (Virtual Live)

INFORMATION TECHNOLOGY AND COMPUTATION

YEAR ONE

Fall 2022 (AT HOME/ONLINE)

  • 625.603              Statistical Methods and Data Analysis
  • 625.609              Matrix Theory

Spring 2023 (AT HOME/ONLINE)   

  • 625.638              Neural Networks
  • 625.742              Theory of Machine Learning (Virtual Live)

YEAR TWO

Fall 2023 (IN BALTIMORE/ON-CAMPUS)  

  • 553.671              Combinatorial Analysis
  • 625.721              Stochastic Processes I (online)
  • 625.740              Data Mining

Spring 2024 (IN BALTIMORE/ON-CAMPUS)  

  • 553.688              Computing for Applied Mathematics
  • 553.663              Network Models in Operations Research
  • 625.722              Stochastic Processes II (online)

OPERATIONS RESEARCH

YEAR ONE

Fall 2022 (AT HOME/ONLINE)  

  • 625.603              Statistical Methods and Data Analysis
  • 625.609              Matrix Theory

Spring 2023 (AT HOME/ONLINE)  

  • 625.615              Introduction to Optimization
  • 625.734              Queuing Theory (Virtual Live)

YEAR TWO

Fall 2023 (IN BALTIMORE/ON-CAMPUS)

  • 553.665              Introduction to Convexity
  • 553.633              Monte Carlo Methods
  • 625.721              Stochastic Processes I (online)

Spring 2024 (IN BALTIMORE/ON-CAMPUS)   

  • 553.653             Mathematical Game Theory OR 553.663  Network Models in Operations Research
  • 625.722              Stochastic Processes II (online)
  • 553.763              Stochastic Search & Optimization

PROBABILITY AND STATISTICS 

YEAR ONE

Fall 2022 (AT HOME/ONLINE)  

  • 625.603              Statistical Methods and Data Analysis
  • 625.609              Matrix Theory

Spring 2023 (AT HOME/ONLINE) 

  • 625.661              Statistical Models & Regression
  • 625.742              Theory of Machine Learning (Virtual Live)

YEAR TWO

Fall 2023 (IN BALTIMORE/ON-CAMPUS)   

  • 553.632              Bayesian Statistics
  • 553.730              Statistical Theory I
  • 625.740              Data Mining

Spring 2024 (IN BALTIMORE/ON-CAMPUS)  

  • 625.664             Computational Statistics
  • 553.639              Time Series Analysis
  • 553.731              Statistical Theory II

SIMULATION AND MODELING

YEAR TWO

Fall 2022 (AT HOME/ONLINE) 

  • 625.603              Statistical Methods and Data Analysis
  • 625.609              Matrix Theory

Spring 2023 (AT HOME/ONLINE)  

  • 625.638              Neural Networks
  • 625.734              Queuing Theory (Virtual Live)

YEAR TWO

Fall 2023 (IN BALTIMORE/ON-CAMPUS)    

  • 540.668             Intro to Nonlinear Dynamics and Chaos
  • 625.721              Stochastic Processes I (online)
  • 553.633              Monte Carlo Methods

Spring 2024 (IN BALTIMORE/ON-CAMPUS)   

  • 553.600            Math Modeling and Consulting
  • 553.693             Mathematical Image Analysis
  • 625.722              Stochastic Processes II (online)

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.

Why Johns Hopkins University?

Johns Hopkins Engineering is Creating a Better Future. We advance data- and science-driven engineering discovery, innovation, and systems applications to help everyone live longer and healthier lives and empower communities and society to thrive, even in extreme environments. Join us.

Get Started Today

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.

Have questions? Call: +001 800-548-3647 or Email: [email protected]