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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 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 College of Computer and Information Science 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.

Students enrolled in the MS in Data Analytics Engineering have the opportunity to also pursue one of the many engineering graduate certificate options in addition to or in combination with this program. Students should consult their faculty advisor regarding these options. The MS in Data Analytics Engineering can be combined with a Gordon Engineering Leadership certificate. Learn more about the benefits of this unique program. 

Exciting Research Experience

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

Real-World Cooperative Education

Cooperative education at Northeastern is another vital experiential learning opportunity for MS-DAE students. Through cooperative education, you’ll gain crucial field experience desired by employers.

While on co-op, you’ll 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.

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

Learning Outcomes: 

The M.S. programs' student learning outcome is

  • The ability to use basic engineering concepts flexibly in a variety of contexts.

Program Director

Student Success Stories

  • A Fork in the Road

    Zhuohan Yu
    MS, Data Analytics Engineering 2021

    It’s a lot easier to pick a career path when you first enter school and follow it.

  • A Powerful Combination

    Ankita Pradeep
    MS, Data Analytics Engineering 2019

    Ankita Pradeep got her undergraduate industrial engineering degree in India. Back at home, she worked in the logistics industry for two years.

  • Ready for the High Demand Field of Data Analytics

    Zhenyuan Lu
    MS, Data Analytics Engineering 2019

    After he did his first master’s in bioengineering, Zhenyuan Lu realized that data analytics was something he was also very interested in.