College of Engineering
Master of Science in Data Analytics Engineering
The Data Analytics Engineering program enables students to address the growing need for professionals who can transform large streams of data into understandable and actionable information. Students also acquire the analytical skills and research experience necessary for a doctoral program.
Using Analytics to Foster Business Success
The MS in Data Analytics Engineering program offers students an opportunity to train for industry jobs or to acquire rigorous analytical skills and research experience to prepare for a doctoral program in health, security, and sustainability at Northeastern University. The Department of Mechanical and Industrial Engineering offers this degree program in order to meet the current and projected demand for a workforce trained in analytics. While the core courses for this program are offered by the College of Engineering, elective courses can be chosen from diverse disciplines spread across various colleges at Northeastern. The MS degree in data analytics engineering is designed to enable the graduating students to address the growing need for professionals who are trained in advanced data analytics and can transform large streams of data into understandable and actionable information for the purpose of making decisions. The key sectors that require analytics professionals include healthcare, smart manufacturing, supply chain and logistics, national security, defense, banking, finance, marketing, and human resources.
The MS in Data Analytics Engineering program meets F-1 international student status requirements. 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.
Learn from Industry Experts
The many Northeastern professors and lecturers who teach in the Data Analytics Engineering program represent some of the top experts in their field. Plus, a lot of our faculty hold influential positions and working relationships in some of the leading tech companies in and around the Northeastern campus regions and throughout the world.
Featured Faculty: Seattle Campus
Jie Zhang
Full-Time Faculty
Jie has a doctoral degree in industrial and systems engineering from Virginia Polytechnic Institute and State University. Her research focusses on stochastic optimization and machine learning for different application problems. As a teaching faculty in data analytics engineering, she teaches courses in machine learning, operations research, and statistics. She also would like to mentor students and explore collaborations with faculty members on research problems in these areas.
April Bingham
Part-Time Lecturer
April joined Northeastern University in Seattle in September 2018 as a part-time lecturer. She has 15+ years of web development and design experience for commercial clients, with proven experience in all phases of site development: client contact, information architecture, UI design, graphics production, testing cycle, deployment, continuing site maintenance.
April received her BS in Scientific and Technical Communications from Michigan Technological University in 1998. Throughout her extensive career, she has worked as a web designer, frontend developer, and user experience developer for companies like Zillow, Pulse Communications, and Wetpaint. She has been working as a Frontend Developer at Uplevel since 2019.
Yahav Biran, PhD
Part-Time Lecturer
Dr. Biran is a software/integration engineer, professional service manager and product manager with over 11 years of innovation in diverse environments including military, private and public, startup and large companies with a track record of designing, architecting, building and managing teams that created award-winning products. Dr. Biran joined Northeastern University as a part-time lecturer in February 2018.
Dr. Biran earned his PhD in Systems Engineering from Colorado State University in 2017. His research areas include large-scale (HPC) and multi-core scientific computing, computational optimization, web-based decision support systems, integrated design systems, distributed networks, and multi-agent systems.
LinkedIn: https://www.linkedin.com/in/ybiran/
Siva Dosapati
Part-Time Lecturer
Siva studied at Jawaharlal Nehru Technological University and now has 20+ years of experience in software development/design and leadership in automotive digital marketing, product life cycle management, banking, human resources, and payroll applications. Siva has been lecturing with Northeastern in Seattle since 2015, on the topics of application engineering and object-oriented programming. Siva is currently the Director of Engineering at Indeed.com, where he drives transformational changes in software quality and operational engineering effectiveness.
LinkedIn: https://www.linkedin.com/in/siva-dosapati-205b333/
Ramkumar Hariharan, PhD
Part-Time Lecturer
Role at Northeastern: Ramkumar Hariharan, Ph.D., is Data Science Engineering Faculty and the Inaugural Director of College of Engineering Programs in the Seattle Campus. Ram’s research is at the nexus of Artificial Intelligence and Geroscience.
Professional Background: Previously, he was the Head of Applied Artificial Intelligence at Macro-Eyes, Inc, and led a globally diverse team of data scientists. Prior to that, Ram was a Senior Data Scientist at the Fred Hutchinson Cancer Research Center, building novel AI applications to drive biomedical discoveries using large image and genomic datasets. Ram has also worked with biomedical big data at both the Hood-Price Laboratory at the Institute for Systems Biology in Seattle and at the Promislow Lab at the University of Washington.
LinkedIn: https://www.linkedin.com/in/ramkumar-hariharan-phd-063b27132/
Avinav Jami
Part-Time Lecturer
Avinav’s experience in Software Engineering at Amazon Web Services lays the foundation for his classes in Cloud Computing at Northeastern in Seattle. Since joining Northeastern in 2018 as a part-time lecturer, his students have had access to cutting-edge industry knowledge. Avinav attended the Don Bosco Engineering of Technology before completing a master’s in computer engineering at the University of Florida. In his tame working with Amazon and AWS, he has participated in projects related to the Early Reviewers Program, Chat Application, and CloudWatch.
LinkedIn: https://www.linkedin.com/in/jamiavinav/
Ebrahim Nasrabadi
Part-Time Lecturer
Since joining Northeastern University in Seattle in 2017, Dr. Nasrabadi has entered the Expedia Group as a principal applied researcher, where he develops optimization and prediction models to power various aspects of highly complex marketing campaigns in travel metasearch sites. In addition to his time at Expedia, Dr. Nasrabadi also spent 4 years as a research scientist with Amazon. After attaining a PhD in Computer Science at Amirkabir University of Technology, he pursued a second PhD in Mathematics at the Technical University in Berlin, which he completed in 2009.
LinkedIn: https://www.linkedin.com/in/ebrahim-nasrabadi-19a82513/
Shivani Kailesh Patel
Part-Time Lecturer
Shivani joined the Northeastern University team in Seattle in 2019, capitalizing on prior teaching experience at Oregon State University. After working as a data scientist at SAP Concur for over three years, she now works as a data scientist for Amazon Robotics. Shivani serves on the Renton Schools Foundation Board where her interest is in STEM education. She also volunteers with the Techbridge Girls program and is a Regional Ambassador for the Women in Data Science Puget Sound Conference. Shivani pursued graduate work in Statistics at Oregon State University, building on a BS in Speech and Hearing Sciences at the University of Washington.
What our Students Say
I choose to study at Northeastern Seattle because I like the technology vibe around Seattle. In addition, the smaller campus size will provide me with lots of hands-on support. The most exciting about studying at the Seattle campus is that you have incredible opportunities to connect with NU Alumni and employers in different company sizes. The faculties did excellent work by creating an outstanding curriculum for students and were able to provide phenomenal speakers and workshops each semester.
-Yufei Wang, Data Analytics Engineering
I am a non-tech background student who eager to learn more about data analytics. Data Analytics Engineering is the perfect program for me because it welcomes everyone. DAE provides the opportunity for me to step into the data world. I have learned a lot and loved this field so much.
-Mei-Chun Hung, Data Analytics Engineering
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