Use Data Analytics to Solve Engineering Problems and Foster Business Success
The interdisciplinary Master of Science in Data Analytics Engineering—1 Year Experiential program builds on the student’s existing engineering or science foundation and provides rigorous analytical skills and research experience through technically advanced core courses in data mining, data management, machine learning, and visualization for a career solving problems and improving products, processes, services, systems, and enterprises across industries.
The curriculum provides close connections to industry leaders and accelerates degree completion. Industry projects are embedded within advanced core courses, including data mining, database management, machine learning, and visualization. Students can also specialize their degree with interdisciplinary, credit-bearing experiential offerings, including co-op, projects, and independent study on topics from diverse disciplines across colleges at Northeastern in areas such as Big Data, Healthcare Analytics, Business Analytics, Smart Manufacturing, Network Science, and Internet of Things, among others.
The one-year accelerated program is designed for students that have the time to devote to full-time study. The experiential master’s provides credit-bearing experiential coursework, project work, independent study, and co-op, accelerating the time-to-degree completion to enable students to earn their master’s degree in one year. Co-op is offered in the summer. Upon graduation students are prepared to take on a data analyst position and support data scientist and data engineer roles in any industry or to enter a doctoral program in areas including engineering healthcare, banking, business, finance, security, or sustainability.
The program is full time, on ground at Northeastern’s Boston campus. It is for students with a bachelor’s degree in engineering, science, mathematics, or statistics who wish to develop expertise in the data processing, visualization, data exploration, optimization, modeling, as well as descriptive, diagnostics, predictive and prescriptive analytics to solve problems and support decision-making for engineering and business projects.
- Accelerate your degree in a one-year program on the ground at Northeastern’s Boston campus.
- Join a program that integrates real-world projects from leading industry employers.
- Open data analytics career doors around the globe and across industries including healthcare, smart manufacturing, supply chain, logistics, national security, defense, banking, finance, marketing, and human resources.
- Tailor your degree to meet your professional goals with an experience-focused curriculum, interdisciplinary coursework, project work, independent study, and co-op.
- Gain valuable and in-demand hands-on experience through designing and developing analytics projects individually and with groups.
- Build your resumé and work experience as you study with Northeastern’s globally recognized co-op program. While on co-op, students work in industries ranging from finance and technology to energy and healthcare.
Credit-bearing experiential coursework, project work, independent study, and co-op accelerate the time-to-degree completion, enabling students to earn their master’s degree in one year.
Complete all courses and requirements listed below unless otherwise indicated.
|IE 6200||Engineering Probability and Statistics||4 SH|
|IE 6600||Computation and Visualization for Analytics||4 SH|
|IE 6700 or|
|Data Management for Analytics|
or Data Management and Database Design
|IE 7275||Data Mining in Engineering||4 SH|
|IE 7280||Statistical Methods in Engineering||4 SH|
|OR 6205||Deterministic Operations Research||4 SH|
Experimental Project Courses
|IE 7945||Master’s Project (in visualization + database)||4 SH|
|IE 7978||Independent Study||4 SH|
|ENCP 6100||Intro to Co-op||1 SH|
|ENCP 6964||Co-op||0 SH|
|Fall||IE 6200 Engineering Probability and Statistics||4 SH|
|IE 6600 Computation and Visualization for Analytics||4 SH|
|IE 6700 Data Management for Analytics|
or DAMG 6210 Data Management and Database Design
|IE 7945 Master’s Project (in visualization + database)||4 SH|
|Spring||IE 7275 Data Mining in Engineering||4 SH|
|IE 7280 Statistical Methods in Engineering||4 SH|
|OR 6205 Deterministic Operations Research||4 SH|
|ENCP 6100 Intro to Co-op||1 SH|
|Summer||IE 7978 Independent Study||4 SH|
|ENCP 6964 Co-op||0 SH|
Students have the flexibility to tailor their degree to the professional goals through experiential projects and independent study in areas including business, engineering, healthcare, manufacturing, and urban communities, computer science, and information systems.
Students gain valuable research experience desired by employers by designing and developing analytics projects in both individual and group settings. Like investigating innovative models for tumor response forecasting to personalized pre-surgical treatment for breast cancer patients, or building a robust continuous multimodal pain assessment sensing system using physiological signals and facial expressions.
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.
With proper planning, students have the option to complete one of several College of Engineering graduate certificates in addition to the master’s degree. Certificates can be taken in addition to or in combination with a master’s degree, or provide a pathway to a master’s degree in Northeastern’s College of Engineering. There is a certificate in Data Analytics Engineering. Master’s programs can also be combined with a Gordon Engineering Leadership certificate. Students should consult with their faculty advisor regarding these options.
Demand for data professionals has never been higher.
With so many different types of technology in use today—from artificial intelligence and natural language processing to digitized healthcare records and online learning—data analytics is growing at a rapid pace. Experts now predict that more than 150 zettabytes of data will need analysis by 2025, creating thousands of analytics jobs for those with the right skills.
The World Economic Forum’s Jobs Report 2020 found that data analysts and big data specialists are two of the fastest-growing jobs across industries in the United States. The U.S. Bureau of Labor Statistics (BLS) estimates the job market for data-related roles will grow 31 percent within the next 8 years—more than three times the national average.
Data professionals are commanding competitive salaries. According to the US Bureau of Labor Statistics, the median salary for a data analyst in 2021 was $98,230, with experienced candidates earning upwards of $165,000. As with any career, pay can vary substantially according to where you live and what industry you work in, with some major metros paying 40 percent above average due to the high cost of living and availability of talent.
The Academic Advisors in the Graduate Student Services office can help answer many of your questions and assist with various concerns regarding your program and student record. Use the link below to also determine which questions can be answered by your Faculty Program Advisors and OGS Advisors.
Admissions & Aid
Ready to take the next step? Review degree requirements to see courses needed to complete this degree. Then, explore ways to fund your education. Finally, review admissions information to see our deadlines and gather the materials you need to Apply.
Data analytics engineering student Ravalika Kurumilla, ME’22, has been working on co-op at Ancestry.com to create algorithms to help customers find their family connections.
For Shriram Karthikeyan, ME‘20, data analytics engineering, data warehousing, and analytics is nothing new—but an 8-month co-op as an ETL Developer at the Home Base Program, a nonprofit geared towards helping service members, veterans, and their families, offered an opportunity to see the outcomes driven by data warehousing. Awarded a challenge coin and a certificate […]
Data Analytics Engineering student Jignesh Jadhav, ME’20, and Computer Systems Engineering student Yiqiang Wang, ME’20, while working on co-op at Iterate Labs, developed wearable devices to help judge physical distance and alerts the wearer if someone gets to close.
Data Analytics Engineering student Aparna V. Alavilli, ME’20, was awarded the Outstanding Graduate Student Award for Experiential Learning.