Artificial Intelligence Certificate

Graduate Certificate
Circuit board with a spectrum of color and the word AI.

Apply In-Demand AI Skills in Your Career 

Artificial intelligence is rapidly changing how we live and work. Are you looking for ways to integrate AI in your career and take advantage of the opportunities it presents? Leveraging decades of AI expertise, WPI is now offering a Graduate Certificate in Artificial Intelligence. Through WPI’s project-based approach, you’ll grow your technical expertise with a responsible approach in this rapidly growing area.

Value Proposition Description

Program Highlights:

  • Benefit from WPI’s deep history of teaching and furthering artificial intelligence.
  • Take advantage of WPI’s interdisciplinary approach and hone your AI skills in courses you're interested in selected from academic departments across the entire campus.
  • Gain real-world experience as you learn to innovate with AI techniques and systems.
  • Learn from world-class faculty who are industry and scholarly leaders working on cutting-edge research projects in areas critical to our economy and to society.
WPI student wearing a virtual reality headset and holding a controller.

377,500


Annual job openings through 2032

Bureau of Labor Statistics

$136,620


Median salary for computer and information research scientists

Bureau of Labor Statistics (2022)

$15.7


Contributed to the economy from AI by 2030

Forbes

Curriculum

The graduate certificate in Artificial Intelligence (AI) prepares you to utilize AI technologies in real-world applications. The certificate consists of 12 credits (4 graduate courses) taken from the list of courses from the MS in Artificial Intelligence that must satisfy the following criteria:

  • At least one course must be taken from the Artificial Intelligence bin of the MS in AI degree.
  • Two additional courses must be taken from two distinct core bins of the MS in AI, other than the Artificial Intelligence bin.
  • The remaining credits can be earned from any of the courses approved in the MS-AI degree listed in the graduate catalog or otherwise approved by the AI program, including preparatory courses, core courses, and Special Topics courses related to AI.

The certificate courses may subsequently be applied to a degree program at WPI, including the MS in Artificial Intelligence, the MS degree in Data Science, the MS in Computer Science, or the MS in Robotics Engineering, provided that the courses meet the requirements of that degree program.

If you have completed or are currently enrolled in a graduate degree at WPI (other than Artificial Intelligence), you can double count graduate credits from your graduate degree to meet up to one-third of the graduate credits for a (subsequent) Graduate Certificate in Artificial Intelligence.

Faculty Profiles

Elke Rundensteiner
Elke Rundensteiner
Professor, Computer Science, Program Head, Data Science, Computer Science

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.

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Kyumin Lee
Kyumin Lee
Associate Professor, Computer Science

Dr. Lee’s research interests are in information retrieval, natural language processing, social computing, machine learning, and cybersecurity over large-scale networked information systems like the Web and social media. He focuses on threats to these systems and design methods to mitigate negative behaviors (e.g., misinformation, hate speech), and looks for positive opportunities to mine and analyze these systems for developing next generation algorithms and architectures (e.g., recommender system, natural language understanding).

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Xiangnan Kong
Xiangnan Kong
Associate Professor, Computer Science

Professor Kong’s research interests focus on data mining and machine learning, with emphasis on addressing the data science problems in biomedical and social applications. Data today involves an increasing number of data types that need to be handled differently from conventional data records, and an increasing number of data sources that need to be fused together. Dr. Kong is particularly interested in designing algorithms to tame data variety issues in various research fields, such as biomedical research, social computing, neuroscience, and business intelligence.

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Carlo Pinciroli
Carlo Pinciroli
Associate Professor/Graduate Coordinator, Robotics Engineering

The focus of my research is designing innovative tools for swarm robotics. I am developing Buzz, a programming language specifically designed for real-world robot swarms. During my Ph.D., I have designed ARGoS, which is currently the fastest general-purpose robot simulator in the literature. Recent work focuses on human-swarm interaction and multi-robot learning. I am also working on swarm robotics solutions for disaster response scenarios, such as search-and-rescue and firefighting.

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Carolina Ruiz
Carolina Ruiz
Associate Dean of Arts & Sciences, Computer Science

Carolina Ruiz is the Associate Dean of Arts and Sciences and the Harold L. Jurist ’61 and Heather E. Jurist Dean's Professor of Computer Science. She joined the WPI faculty in 1997. Prof. Ruiz’s research is in Artificial Intelligence, Machine Learning, and Data Mining, and their applications to Medicine and Health. She has worked on several clinical domains including sleep, stroke, obesity and pancreatic cancer. Prof.

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Xiaozhong Liu
Xiaozhong Liu
Associate Professor, Computer Science

Dr. Xiaozhong Liu is an Associate Professor at Computer Science and Data Science, WPI. Before that, he was Associate Professor at School of Informatics, Computing and Engineering Indiana University Bloomington. His research interests include natural language processing (NLP), text/graph mining, information retrieval/recommendation, metadata, and computational social science. His dissertation at Syracuse University (advisor Dr. Elizabeth D. Liddy) explored an innovative ranking method that weighted the retrieved results by leveraging dynamic community interests.

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Jacob Whitehill
Jacob Whitehill
Associate Professor, Computer Science

My research interests are in applied machine learning, computer vision, data science and their applications to education, affective computing, and human behavior recognition. My work is highly interdisciplinary and frequently intersects cognitive science, psychology, and education. Before joining WPI, I was a research scientist at the Office of the Vice Provost for Advances in Learning at Harvard University. In 2012, I co-founded Emotient, a San Diego-based startup company for automatic emotion and facial expression recognition.

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