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Master of Science in Data Analytics Engineering

Master of Science in Data Analytics Engineering

Using Analytics to Foster Business Success

Through Northeastern’s interdisciplinary Master of Science in Data Analytics Engineering (MS-DAE) program, you will build on your existing engineering or science foundation to gain employment at businesses of all kinds to improve their products, processes, systems, and enterprises, all through the power of optimization, statistics, machine learning, and visualization.

You’ll have the flexibility to tailor your degree to your professional goals through a number of electives across Northeastern in areas including business, engineering, healthcare, manufacturing, and urban communities, computer science, and information systems.

The MS-DAE is ideal for those who wish to develop expertise in the analysis and optimization of data to solve problems and support decision-making. For those more interested in the process of generating, collecting, and mining data by developing algorithms and computational tools, Northeastern’s Khoury College of Computer Sciences also offers a Master of Science in Data Science (MSDS).

Innovative Curriculum

Irrespective of your engineering major, you will gain rigorous analytical skills and research experience through technically advanced core courses in operations research, statistics, data mining, database management, and visualization. You can further specialize your degree with flexible electives from diverse disciplines across colleges at Northeastern in areas such as:

  • Big Data
  • Smart Manufacturing
  • Healthcare Analytics
  • Network Science
  • Machine Learning
  • Advanced Optimization
  • Business Analytics
  • Internet of Things

Upon graduation with your MS-DAE degree, you’ll be prepared to take on a data analysis position in any industry or to enter a doctoral program in areas including engineering healthcare, business, finance, security, or sustainability.

You’ll gain valuable research experience desired by employers by designing and developing analytics projects in both individual and group settings. Some recent research projects have included:

  • Investigating innovative models for tumor response forecasting to personalize pre-surgical treatment for breast cancer patients
  • Developing adaptive maintenance methods, standards, and metrics for monitoring and performance assurance (Mpass) of smart manufacturing equipment
  • Building a robust continuous objective multimodal pain assessment sensing system (COMPASS) using physiological signals and facial expressions

The MS in Data Analytics is available on Northeastern’s campus in Boston, MA and at the regional campus in Seattle, WA.

Note: A subset of program courses are available at the regional campus.

The MS programs’ student learning outcome is the ability to use basic engineering concepts flexibly in a variety of contexts.

Over 15 graduate certificates are available to provide students the opportunity to develop a specialization in an area of their choice. 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. Master’s programs can also be combined with a Gordon Engineering Leadership certificate. Students should consult with their faculty advisor regarding these options.

Gordon Institute of Engineering Leadership

Master’s Degree in Data Analytics Engineering with Graduate Certificate in Engineering Leadership

Students may complete a Master of Science in Data Analytics Engineering in addition to earning a Graduate Certificate in Engineering Leadership. Students must apply and be admitted to the Gordon Engineering Leadership Program in order to pursue this option. The program requires fulfillment of the 16-semester-hour curriculum required to earn the Graduate Certificate in Engineering Leadership, which includes an industry-based challenge project with multiple mentors. The integrated 32-semester-hour degree and certificate will require 16 semester hours of advisor-approved data analytics technical courses.

Experiential Learning

Northeastern combines rigorous academics with experiential learning and research to prepare students for real world engineering challenges. The Cooperative Education Program, also known as a “co-op,” is one of the largest and most innovative in the world, and Northeastern is one of only a few that offers a Co-op Program for Graduate Students. Through this program students gain industry experience in a wide variety of organizations, from large companies to entrepreneurial start-ups, while helping to finance their education.

While on co-op, students spend a 4-, 6-, or 8-month placement working in industries ranging from finance and technology to energy and healthcare here in Boston and across the country. Recent MS-DAE co-op partners include Fidelity Investments, Fraunhofer USA, Wayfair, Roku, IBM, and State Street Global Services.

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Program Goals

Educational Objectives

The Master of Science in Data Analytics Engineering is designed to help students acquire knowledge and skills to:

  • Discover opportunities 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
  • Collect and store data from a variety of sources, including Internet of Things (IoT), an integrated network of devices and sensors, customer touch points, processes, social media, and people
  • 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 reports for analysis and decision making
  • Create integrated views of data collected from multiple sources of an enterprise
  • Understand and explain results of data analytics to decision makers
  • Design and develop analytics projects

This degree program seeks to prepare students 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.

Career Outlook

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.

Recent research* shows that the annual demand for data scientists, data developers, and data engineers will lead to 700,000 new recruitments by 2020. According to the U.S. Bureau of Labor Statistics, the median annual wage of professionals with these skillsets is more than $80,000.

* Source: http://www.bhef.com/sites/default/files/bhef_2017_quant_crunch.pdf

Program Contacts


Sagar Kamarthi
Professor,  Mechanical and Industrial Engineering
617.373.3070
sagar@coe.neu.edu

Machine learning applications in smart and sustainable manufacturing; predictive analytics for smart and connected health; data driven approaches to mass customized instruction

Academic Advising

For support with academic questions, contact the student services representative assigned to this program.

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.