Online Master’s in Data Analytics Engineering 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
Data Analytics Engineering Master’s Focus Areas
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:
- Artificial Intelligence: Leverage AI methods to build intelligent, autonomous, and adaptive systems.
- Cybersecurity: Apply analytics to detect threats, secure systems, and strengthen digital infrastructures.
- Data Engineering: Design, build, and maintain high-performance data pipelines, architectures, and platforms.
- Machine Learning and Cloud Computing: Develop scalable learning models and cloud-based analytical solutions for modern data environments.
- Simulation and Modeling: Use mathematical, computational, and statistical models to simulate complex engineering 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, Program Manager Robotics and Autonomous Systems
Email:ajohn260@jhu.edu
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Email:aharwel3@jhu.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.
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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What is Data Engineering?
CategoriesPrepare for senior roles in data engineering with the skills and knowledge developed through JHU EP’s online master’s degree programs!
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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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Learn the programming languages you need to succeed in your technical career with an advanced degree from JHU EP!
Data Analytics Engineering FAQs
A: JHU EP alumni with an MS in Data Analytics Engineering have found successful careers in areas such as artificial intelligence, the Internet of Things, smart manufacturing, cybersecurity, and more. With access to our robust professional development opportunities, you’ll always have career guidance at your fingertips.
A: Those with a master’s degree earn up to twice as much (or more) than those with only a bachelor’s degree. This bump in salary is in addition to the specialized skills and knowledge you’ll gain during your studies, as well as ample networking opportunities.
A: If your prior education does not include the prerequisite courses, you may enroll under provisional status, followed by full admission once you have completed the missing courses. Missing courses may be completed with Johns Hopkins Engineering or at another regionally accredited institution. A grade of B– or better must have been earned in each of the courses. These prerequisite courses do not count toward the degree requirements.
The average salary for professionals with a master’s in data analytics engineering typically ranges from$100,000 to $150,000 annually in the US, with median salaries often reported around $127,000–$156,000 for specialized roles.
(source: ZipRecruiter)
Data Analytics Engineering Master’s Student Outcomes
Our data analytics engineering master’s program prepares you to bridge the gap between data science and data engineering so you can pursue a career designing systems that transform raw data into actionable insights. Whether you choose our online master's in data analytics or a traditional format, the program is designed to support both career advancement and career transition.
A master’s in data analytics provides you with today’s most in-demand technical and analytical skills for managing large-scale data systems. You’ll learn data pipeline development, data warehousing, and database management for efficient data collection, storage, and processing.
You’ll also gain expertise in programming languages like Python and SQL, as well as experience with big data technologies and cloud platforms to handle both structured and unstructured data. You’ll develop skills in data visualization and reporting, which are used in effective stakeholder communication and data-driven decision-making.
Additionally, you’ll focus on data governance, quality assurance, and security to ensure data accuracy and integrity in producing reliable insights and supporting organizational goals.
Graduates of our data analytics engineering master’s program commonly find roles in a variety of industries that focus on building and managing data systems while supporting advanced analytics.
Common job titles include:
- Data engineer
- Analytics engineer
- Data analyst
- Business intelligence analyst
- Database administrator
- Data architect
- Analysis consultant
Most of these roles involve designing data architectures, developing pipelines, and preparing data for analysis. Other careers include working to ensure that data systems are optimized for performance, scalability, and accessibility, while also providing insights that guide strategic decision-making. Each of these roles requires advanced technical knowledge and skills combined with strong analytical capabilities.
According to the U.S. Bureau of Labor Statistics, employment in data-related roles, including data engineers and data analysts, is projected to grow by an astounding 34% by 2034 due to increasing global reliance on data across industries. This incredible demand highlights the value of completing an online master’s in data analytics, particularly for professionals seeking to move into more specialized or senior-level positions.
Data analytics careers are increasingly in demand across various industries as many organizations rely on data for decision-making. The technology sector employs professionals who manage data systems for software development and AI. Financial services depend on a robust data infrastructure for transactions and risk assessment. Healthcare organizations use data analytics to improve patient outcomes and streamline operations, while other sectors like retail, manufacturing, and government utilize it for supply chain optimization and policy development.
Completing our online master’s program in data analytics engineering gives you technical skills and valuable professional connections, both of which will help you advance in your career or transition into new opportunities.