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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 Science 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.

Master’s Degree Admissions and Program Requirements

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.

View Required Courses and Options View Data Analytics Engineering Courses

Program Contacts

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.

Tuition & Fees

Why Hopkins?

We built an online master’s degree in data analytics engineering specifically for working professionals. Explore what you can do.

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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

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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

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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. ”

Benjamin Rodriguez, Program Chair Data Analytics Engineering

Academic Calendar

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

Academic Calendar

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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)