Master’s in Data Science Online
This program is also available on campus
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DS Meet Our Alumni.
Yang Tao, Retail marketing team, strategy & operation analyst, contractor for Google
During my course of study, I could choose different classes in areas like AI, machine learning, Big Data, and business intelligence. I learned database (sql), data processing and analysis (python), data reporting (tableau). Each course benefited me during my job hunting, as I talked about my projects in the different courses to match different roles and job descriptions. Through my graduate qualifying project (capstone), I also learned new techniques/methods/software to solve data related problems, while improving my public speaking and communication skills.
Alexander Shoop, Software Engineer at DataRobot
The Data Science graduate program has taught me the necessary fundamentals of machine learning and pragmatic data science projects through teamwork. Personally, it has also allowed me to use my creative talent, especially with regards to presentations and video demonstrations. I would absolutely recommend the Data Science program (undergraduate, graduate, and PhD) to any of my friends and colleagues! The program emphasizes team collaboration and working towards having a diverse skill set to handle any kind of data science scenario.
Mukund Khandelwal, Quantitative Associate at Wells Fargo
The overall graduate experience involved collaborating with students coming from different academic and cultural backgrounds. Through this experience, I learned how a problem could be approached from multiple angles and solved effectively.
Chen Liang, Data Scientist at Burning Glass
This program starts from a fundamental base and keeps upgrading the difficulty, which made me comfortable and built up my confidence and enhanced my skills—and ultimately made me ready to walk into my new job. It has provided such a great way to not only get our hands dirty real quick, but allows us to innovate.
Rosemarie Day, Senior Engineer in Applied Data Science at Collins Aerospace
I greatly enjoyed the GQP, which connected me with a company and a project that I could interact with and develop while finishing my degree. The project work allowed me to grow my skills in more of a corporate environment while still in school. This provided me with insights into how a data science team works outside of the classroom, what expectations would be set, and also allowed me to work alongside both other students and industry professionals.
Manasi Vartak '10.
Manasi Vartak '10 founded Verta to help companies build AI-enabled products faster than ever.
Meet Our Faculty
As founding Head of the interdisciplinary Data Science program here at WPI, I take great pleasure in doing all in my power to support the Data Science community in all its facets from research collaborations, and new educational initiatives to our innovative industry-sponsored and mentored Graduate Qualifying projects at the graduate level.
I enjoy teaching because it allows me to interact with students who have the potential to make the world a better place using technology. I continually innovate in my courses to ensure students enjoy the learning experience, learn the key concepts and skills related to information systems through real world examples, have an opportunity to learn from each other, learn to present themselves as professionals, and most importantly learn to use or develop technology to make a difference.
Seyed A. (Reza) Zekavat received his PhD from Colorado State University in 2002. He is the Author of the textbook "Electrical Engineering: Concepts and Applications" published by Pearson, and the editor of the book “Handbook of Position Location: Theory, Practice and Advances,” published by Wiley/IEEE. He holds a patent on an active Wireless Remote Positioning System.
I completed my Ph.D. in Information Technology from the Department of Computer Science at George Mason University. Before that, I received MBA in Management Information Systems from California State University, Chico and BEng in Electronic Engineering from the Hong Kong University of Science and Technology respectively. My teaching interests include Database Management Systems, Data Mining, Artificial Intelligence, Machine/Deep Learning, Data Analytics, Decision Support System, Data Structures, Computational Algorithms, and Software Application Programming.