Online Master’s in Data Science 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 Master's Degree Options
We offer three 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.
Rise@APL
Hopkins students get the chance to work alongside researchers at the JHU Applied Physics Laboratory - the largest university-affiliated laboratory in the country. RISE@APL is open to highly qualified undergraduate and graduate students from the Whiting School of Engineering and the Krieger School of Arts and Sciences.
Program Contacts
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Benjamin Rodriguez
Program Chair Data Analytics Engineering, Program Co-chair Data Science
Email:brodrig5@jhu.edu
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Zerotti Woods
Program Chair Information Systems Engineering, Program Co-chair Data Science
Email:zerotti.woods@jhuapl.edu
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Tony Johnson
Program Manager Artificial Intelligence, Program Manager Computer Science, Program Manager Cybersecurity, Program Manager Data Analytics Engineering, Program Manager Data Science, Program Manager Information Systems Engineering, Program Manager Robotics and Autonomous Systems
Email:ajohn260@jhu.edu
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Erhan Guven
Assistant Program Manager Artificial Intelligence, Assistant Program Manager Computer Science, Assistant Program Manager Cybersecurity, Assistant Program Manager Data Science, Assistant Program Manager Information Systems Engineering, Assistant Program Manager Robotics and Autonomous Systems
Email:eguven2@jhu.edu
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Ian McCulloh
Assistant Program Manager Artificial Intelligence, Assistant Program Manager Computer Science, Assistant Program Manager Cybersecurity, Assistant Program Manager Data Science, Assistant Program Manager Information Systems Engineering, Assistant Program Manager Robotics and Autonomous Systems
Email:imccull4@jhu.edu
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Email:aharwel3@jhu.edu
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Email:Valeria.Alfaro@jhuapl.edu
Tuition and Fees
Did you know that 78% 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.
Online Data Science Master’s Student Outcomes
Our data science master’s program prepares you to extract meaningful insights from complex data and apply them to real-world decision-making. The program is designed to help you strengthen your technical foundation while advancing or pivoting your career. By developing in-demand knowledge and skills, you become a more competitive candidate in the wide range of data science careers.
Core Skills Gained in Data Science
Our online master’s in data science equips you with in-demand skills in statistics, computation, and data analysis for working with large datasets. You’ll learn programming languages like Python and R, as well as data manipulation, database management, and machine learning techniques, so you can convert raw data into actionable insights.
You’ll also develop expertise in statistical analysis and predictive modeling, which are necessary skills for identifying patterns and supporting decision-making. Data visualization is also covered in-depth, helping you communicate findings effectively to diverse audiences.
Moreover, understanding data ethics and governance is mandatory in today’s data-driven environment. Knowledge of privacy concerns and responsible data use means that your analyses comply with legal and ethical standards. Overall, these skills prepare you to excel across various roles and industries.
Common Job Titles & Careers of Data Science Master’s Graduates
Common job titles include:
- Data scientist
- Data analyst
- Machine learning engineer
- Business intelligence analyst
- Data engineer
- Quantitative analyst
- Analytics consultant
Many of these roles involve collecting, processing, and analyzing data to support organizational goals and improve performance. Some professionals design data pipelines, develop algorithms, and provide insights that drive innovation and efficiency. Each of these roles requires advanced knowledge and skills in both technical and analytical domains.
According to the U.S. Bureau of Labor Statistics, employment in data-related occupations such as data scientists is projected to grow by 34% through 2034, reflecting the increasing reliance on data across industries. This impressive demand highlights the value of completing an online data science master’s, particularly for professionals seeking to move into more specialized or leadership-oriented roles.
Industries for Data Science Master’s Graduates
Data science careers are diverse and span various industries, providing flexibility based on your interests. The technology sector uses data science to enhance products, optimize systems, and drive innovation. In finance, organizations depend on data scientists to assess risk, detect fraud, and make strategic decisions. Healthcare relies on data science to improve patient outcomes and support research. Other industries like retail and manufacturing use data science to understand consumer behavior and enhance operational efficiency.
Completing our online master’s in data science equips you with technical skills and access to professional networks and mentorship, helping you advance in your current role or transition to new opportunities.
Why Hopkins?
We built an online master’s degree in data science specifically for working professionals. Explore what you can do.
Student Resources - Your academic success is important to us. As a Johns Hopkins University student, you’ll have access to a variety of resources to support your successful path to completing your degree. Learn More
Learn on Your Terms - Develop the in-demand knowledge to achieve your personal career goals in your field of choice—on your schedule. Choose modern, relevant courses to design the learning experience that best fits your objectives. Learn More
Career-advancing Education - Coursework incorporates industry-specific knowledge that you can use from day one. As a graduate, you will be prepared to advance your career, cross over into other engineering fields, take on leadership roles, and increase your income-earning potential. Learn More
“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. ”
Data Science Master's 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.
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Rodriguez will serve as the program chair for the new Data Analytics Engineering program and will retain his position as co-chair of EP's Data Science program
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