Online MS in Data Analytics Engineering Graduate Program Overview
Johns Hopkins Engineering for Professionals online, part-time Data Analytics Engineering master’s program equips engineers with the expertise to collect, analyze, and interpret data to improve systems, inform decisions, and drive innovation across public and private sectors. With the option to choose from five key focus areas, you can design your degree to match the future in data analytics that you envision for yourself.
The MS in Data Analytics Engineering prepares you to meet the growing demand for experts who can transform raw data into meaningful knowledge—fueling advancements in areas such as artificial intelligence, the Internet of Things, smart manufacturing, cybersecurity, and more. Guided by a team of technical practitioners and research-based scientists, the online master’s program in data analytics engineering blends strong analytical foundations with applied engineering practice.
Through a core curriculum in statistical methods, machine learning, data engineering, and data visualization, you will gain the technical expertise needed to:
- Analyze and manage large, complex datasets
- Extract trends, patterns, and insights from real-world data
- Build predictive models and decision-support systems
- Optimize processes and improve operational efficiency
- Apply modern data analytics tools across diverse engineering domains
Online MS in Data Analytics Engineering Graduate Program Overview
A focus area will not appear on your diploma; however, you can tailor the master’s in data analytics engineering degree by selecting advanced graduate courses in one of five focus areas:
- Cybersecurity: Apply analytics to detect threats, secure systems, and strengthen digital infrastructures.
- Machine Learning and Cloud Computing: Develop scalable learning models and cloud-based analytical solutions for modern data environments.
- Data Engineering: Design, build, and maintain high-performance data pipelines, architectures, and platforms.
- Simulation and Modeling: Use mathematical, computational, and statistical models to simulate complex engineering systems.
- Artificial Intelligence: Leverage AI methods to build intelligent, autonomous, and adaptive systems.
Data Analytics Engineering Master's Degree Options
We offer a fully online Master of Science in Data Analytics Engineering.
Data Analytics Engineering Master's 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.
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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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
Email:ajohn260@jhu.edu
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Email:aharwel3@jhu.edu
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.
Why Hopkins?
We built an online master’s degree in data analytics engineering 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
“We’ve designed a master’s in Data Analytics Engineering program that emphasizes the strategic application and deployment of data technologies to drive decision-making and innovation. Through advanced coursework, you will be prepared to tackle any data challenge in your career. ”
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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