Mode of Study:
Hybrid, Online
LIVE lab at the Applied Physics Laboratory

Online Data Science Graduate Program Overview

Johns Hopkins Engineering for Professionals online, part-time Data Science graduate program addresses the huge demand for data scientists qualified to serve as knowledgeable resources in our ever-evolving, data-driven world.

Designed specifically with working professionals in mind, you will engage in a number of modern online courses created to expand your knowledge for advanced career opportunities in data science, including Machine Learning, Data Visualization, Game Theory, and Large-Scale Data Systems. Learn from senior-level engineers and data scientists who will incorporate realistic scenarios in your studies that you have or will encounter as a professional. 

The online master’s degree in data science prepares you to succeed in specialized jobs involving everything from the data pipeline and storage to statistical analysis and eliciting the story the data tells. You will: 

  • Gain practical skills and advance your career to meet the growing demand for data scientists.
  • Balance both the theory and practice of applied mathematics and computer science to analyze and handle large-scale data sets.
  • Manage and manipulate information to discover relationships and insights into complex data sets.
  • Create models using formal techniques and methodologies of abstraction that can be automated to solve real-world problems.
  • Select the courses that fit your area of interest.
  • Become a confident data scientist and leader.

Data Science Degree Options

We offer two program options for Data Science; you can earn a Master of Science in Data Science or a Post-Master’s Certificate.

Data Science Courses

Get details about course requirements, prerequisites, and electives offered within the program. All courses are taught by subject-matter experts who are executing the technologies and techniques they teach. For exact dates, times, locations, fees, and instructors, please refer to the course schedule published each term.

Proficiency Exams

A proficiency exam is available in Data Science. If you have not completed the necessary prerequisite(s) in a formal college-level course but have extensive experience in these areas, may apply to take a proficiency exam provided by the Engineering for Professionals program. Successful completion of the exam(s) allows you to opt-out of certain prerequisites.

Program Contacts

Tuition and Fees

Did you know that 78 percent of our enrolled students’ tuition is covered by employer contribution programs? Find out more about the cost of tuition for prerequisite and program courses and the Dean’s Fellowship.

I appreciated that the program is rigorous and teaches current techniques. I always felt my coursework was relevant, and my professors were very knowledgeable and helpful.

Rachel Meinhold ‘19 Data Science

Data Science FAQs

Because of the adaptability and diversity present in the field of data science, you can take your career in a wide variety of directions. Become an AI researcher, a data strategist, a business systems analyst, and more. Career advisors are standing by throughout your education experience to guide you, answer questions, and help you find your exact career path.

Most graduates who hold a Master’s in Data Science receive a significant salary bump upon the completion of their degree. The median base salary for master’s holders is $92,500. Plus, going through the program exposes you to the newest technologies, theories, and techniques that you might not have learned on your own. Add in all the networking opportunities the community provides and a master’s degree.

Yes. If we are otherwise willing to accept the student, we will determine which prerequisites are still needed as part of the review process. You will then be admitted provisionally until those courses have been successfully completed.

Academic Calendar

Find out when registration opens, classes start, transcript deadlines and more. Applications are accepted year-round, so you can apply any time.