Data Science Curriculum Overview
Johns Hopkins Engineering for Professionals Master’s in Data Science program is ranked #2 by U.S. News & World Report. We are excited to offer this stellar, challenging master’s degree through Home-to-Hopkins, opening the door for more students to achieve graduate-level studies starting from anywhere in the world.
After completing the master’s curriculum in data science, you will gain in-depth knowledge of machine learning, game theory, cryptology, and many other technical subject matter to propel your career forward. The structure of this program also makes you eligible to apply for OPT.
Here’s a sample Data Science course of study for students enrolled in the Home-to-Hopkins program.
SAMPLE COURSE OF STUDY
YEAR ONE
Fall 2022 (FROM HOME)
- 685.621 Algorithms for Data Science
- 625.603 Statistical Methods and Data Analysis
Spring 2023 (FROM HOME)
- 685.648 Data Science
- 605.662 Data Visualization
YEAR TWO
Fall 2023 (IN BALTIMORE, MARYLAND)
- 605.649 Introduction to Machine Learning
- 553.632 Bayesian Statistics
- 553.613 Applied Statistics
Spring 2024 (IN BALTIMORE, MARYLAND)
- 553.763 Stochastic Search and Optimization
- 605.745 Reasoning Under Uncertainty
- 553.633 Monte Carlo Methods
Data Science Master's Program
Find out more about the top-ranked Master's in Data Science program offered through Engineering for Professionals. Review topics covered, program outcomes, 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].