By choosing WPI’s MS in Computer Science (CS), you immediately become part of our international reputation for innovative excellence, advancing the ever-growing CS field, and working beside principal investigators in the labs and in collaboration with industry partners. Your work ventures outside of the ordinary at WPI, incorporating core CS competencies with research in areas like artificial intelligence, data mining, learning sciences, game development, mobile computing, and security.
Whether you choose the thesis or non-thesis option, you will emerge as a well-rounded, confident, socially aware, globally focused leader who is ready to solve real-world problems.
No matter what areas of computer science interest you most, you’ll find a supportive infrastructure and encouraging environment at WPI. Meaningful collaboration with other fields is a deeply held value here, and with our interdisciplinary curriculum you’ll be able to forge ahead in diverse areas like medical imaging, systems security, intelligent tutoring, health informatics, and data mining.
You have the flexibility to choose the right blend of courses to suit your interests and career goals, choosing from classes like Advanced Systems Architecture, Multimedia Networking, Artificial Intelligence, and Biovisualization.
A computer security specialization is available for this degree program.
At WPI, you’ll conduct advanced research with our renowned faculty members in core research groups supported by agencies like the National Science Foundation, US Department of Education, and US Army, including the following:
You’ll have access to our state-of-the-art research facilities offering the latest in computers and software. These resources, such as the Human-Robot Interaction (HRI) Lab and the Applied Logic and Security Lab, allow for creative and inspired exploration in areas like Internet privacy, next-generation user interfaces, and artificial intelligence.
As the use of computers and computing devices becomes more pervasive around the world, talented computer scientists like you will only become more valuable, with the US Bureau of Labor Statistics predicting about 4.4 million jobs by 2024.
Emmanuel Agu is currently an associate professor in the computer science department at WPI having received his Masters and PhD in electrical and computer engineering at the University of Massachusetts at Amherst. His research interests are in the areas of computer graphics, mobile computing, and wireless networks. He is especially interested in research into how to use a smartphone as a platform to deliver better healthcare.
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My research interests focus on networking and security, including deep packet inspection and packet processing. My contributions include analysis of malware communications, parallelization strategies for network traffic analysis, and hardware accelerators for packet inspection and forwarding. I have also worked on optimized signature matching and instruction scheduling for novel processor architectures.
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Professor Eltabakh’s research is in the broad area of Database Management Systems and Information Management. In particular, his work is in the areas of query processing and optimization, indexing techniques, scientific data management, and large-scale data analytics. Prof. Eltabakh is currently exploring possible extensions to both database management systems and Hadoop framework to support scientific applications and health-care systems. He is a member of the Database Systems Research Group (DSRG) and a faculty member of the Bioinformatics and Computational Biology (BCB) program.
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I am an Assistant Professor in the Computer Science Department at the Worcester Polytechnic Institute. I completed my Ph.D. at the University of Massachusetts Amherst advised by Prof. Prashant Shenoy in 2016.
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Information visualization is a powerful means for understanding data and informing human minds. As people begin to rely on visualizations to make high-impact and even life-critical decisions, there is a growing need to ensure that information can be perceived accurately and precisely.
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Dr. Lee’s research interests are in social computing, information retrieval, data science, and cybersecurity over large-scale networked information systems like the Web, social media, crowdfunding, and crowd-based systems. My research focus has both positive and negative dimensions. On one hand, I focus on threats to these systems and design methods to mitigate negative behaviors; on the other, I look for positive opportunities to mine and analyze these systems for developing next generation algorithms and architectures that can empower decision makers.
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I am interested in computer networking and security. Given the significance of the Internet in our economy and society, I am interested in improvements and studies that can have a real-world impact. My recent work has focused on how to make both enterprise and residential networks more secure. In my research work, I am exploring ways to change the traditional computer network communication model using techniques such as software-defined networking and network function virtualization.
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My research is in human-computer interaction. One focus of my research is on next-generation interaction techniques, such as brain-computer interfaces, physiological computing, and reality-based interaction. I design, build and evaluate interactive computing systems that use machine learning approaches to adapt and support the user’s changing cognitive state and context. I also investigate novel paradigms for designing with accessibility in mind, particularly for the Deaf community.
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