Data Analytics Engineering
Master's
The Master of Science in Data Analytics Engineering provides the knowledge and skills to improve products, processes, systems, and enterprises through data mining, data management, machine learning, and visualization.

Program overview
Improve your world through data
Building on your engineering or science background, you will develop expertise in the analysis and optimization of data to solve problems and support decision making. You will gain rigorous analytical skills and research experience through technically advanced core courses in operations research, statistics, data mining, database management, and visualization, while specializing your degree with flexible electives from across Northeastern’s colleges. Some elective courses include Big Data, smart manufacturing, machine learning, business or healthcare analytics, network science, and Internet of Things. You’ll be prepared to take on a data analyst position in any industry or enter a doctoral program in areas including engineering healthcare, business, finance, security, or sustainability.
Building on your engineering or science background, you will develop expertise in the analysis and optimization of data to solve problems and support decision making. You will gain rigorous analytical skills and research experience through technically advanced core courses in operations research, statistics, data mining, database management, and visualization, while specializing your degree with flexible electives from across Northeastern’s colleges. Some elective courses include Big Data, smart manufacturing, machine learning, business or healthcare analytics, network science, and Internet of Things. You’ll be prepared to take on a data analyst position in any industry or enter a doctoral program in areas including engineering healthcare, business, finance, security, or sustainability.
- Map your degree to your professional goals through a number of electives across Northeastern in areas including business, engineering, healthcare, manufacturing, urban communities, computer science, and information systems.
- Gain valuable research experience desired by employers by designing and developing analytics projects in both individual and group settings.
- Prepare to take on a data analyst position in any industry or enter a doctoral program in areas including engineering healthcare, business, finance, security, or sustainability.
- Participate in Northeastern’s leading cooperative education program, gaining up to eight months of professional work experience.
- Further specialize your degree with a graduate certificate from the College of Engineering.
The in-demand field of data analytics opens career doors around the globe and across industries, including healthcare, smart manufacturing, supply chain and logistics, national security, defense, banking, finance, marketing, and human resources. Employment of operations research analysts is projected to grow 23% from 2023 to 2033, much faster than the average for all occupations.
Admissions
Apply to the program
A graduate degree or certificate from Northeastern can accelerate your career through rigorous academic coursework and real-world professional experience in your area of interest. Apply to take your career to the next level.
A graduate degree or certificate from Northeastern can accelerate your career through rigorous academic coursework and real-world professional experience in your area of interest. Apply to take your career to the next level.
Applications received after the stated deadline dates will be accepted and processed as quickly as possible; however it may not be possible to have a decision rendered in time for the applicant to begin taking classes for the desired term if admitted.
Applications submitted by the referenced dates will receive full consideration for the referenced term. Applications received after the referenced dates will be considered on a case-by-case basis.
Fall Semester Entry
Early Action | December 1 |
Final Deadline International Students outside the US | June 1 |
Final Deadline: International Students Inside the US | July 1 |
Domestic applicants | August 1 |
Spring Semester Entry
International Students Outside the US | October 1 |
International Students Inside the US | December 1 |
Domestic Applicants | December 1 |
Completed online application form
Two letters of recommendation
Transcripts from all institutions attended
The Foreign Credential Evaluation (FCE) is a required assessment of all transcripts and documents from non-U.S. accredited post-secondary education institutions. (Review the FCE requirements by country.)
GRE is not required for terms starting during the 2023-2024 or 2024-2025 academic years
Statement of purpose
Resumé
TOEFL, IELTS, or Duolingo for international applicants
The application fee is waived for all new applicants applying to any of our Master of Science or Graduate Certificates for the fall 2025 and spring 2026 application terms.
Program objectives
Prepare for success
This program prepares you for a comprehensive list of tasks, including collecting, storing, processing, and analyzing data, reporting statistics and patterns, drawing conclusions and insights, and making actionable recommendations.
Learn to improve systems, processes, and enterprises through data analytics. Apply optimization, statistical, and machine-learning methods to solve complex problems involving large data from multiple sources.
Work with technology teams to design and build large and complex SQL databases. Use tools and methods for data mining, big-data algorithms, and data visualization to generate actionable reports.
Occupations
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Cost of attendance
Tuition and financial aid
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$61,728Tuition in USD
Estimated Total Tuition
This is an estimate based on the tuition rates for Academic Year 2025-2026 and does not include any fees or other expenses. Some courses and labs have tuition rates that may increase or decrease total tuition. Tuition and fees are subject to revision by the president and Board of Trustees at any time. Select programs at select campuses offer additional scholarships of up to 25% off the listed price for domestic students studying on campus. For more detailed information, please visit Student Financial Services.
For students interested in pursuing financial assistance or educational loans, additional educational costs, known as Cost of Attendance (COA) components, can be included in the calculation of aid and loan eligibility. Components may include food, housing, books, course materials, supplies, equipment, transportation, personal expenses, and the cost of obtaining a first professional licensure. You can find comprehensive details on the Student Financial Services website. Please keep in mind that COA can vary significantly depending on academic program, enrollment intensity, and individual circumstances.
There are many ways to pay for your education, including scholarships, financial aid, and more. Connect with a financial counselor to learn about your options and make your dream a reality.
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