In-Person Meetings for Classes on Monday, January 26, 2026 are Cancelled; Online/remote classes to be held as determined by Faculty.
Public Safety is tracking a significant snowfall that will be arriving in our area late Sunday morning (Jan. 25). It will snow heavily throughout the day and evening eventually tapering off Monday (Jan. 26) with 10-14 inches expected statewide. A sleet and freezing rain mix is also possible along the shore. Temperatures will be in the teens and twenties.
Due to this significant winter storm and the extensive campus clean-up operations that will need to take place, all in-person day and evening classes scheduled for Monday, January 26, 2026 have been cancelled. All scheduled in-person classes will transition to being held online or remotely. Additional information on the virtual format for each class will be provided by your instructor.
Faculty have been asked to prepare for Online or Remote sessions in the event of in-person meeting cancellations. These options will be determined by the Faculty member and all questions should be directed to the Faculty teaching each course section. Faculty also have been asked to be very understanding and accommodating of the individual situations of their students who may have difficulty managing these alternative online or remote class meetings on short notice.
Please note that only essential employees, as previously determined by their respective department leaders, should report to campus. All other employees should fulfill the requirements of their role remotely.
Campus operations for residential students, unless otherwise noted, will operate as scheduled, though hours may be modified or changed based on the conditions. Separate messages will be sent from the Peterson Library, the Beckerman Recreation Center, and Dining Services regarding any changes to their normal hours of operation. The Bergami Center for Science, Technology, and Innovation will remain open for residential students to use for study space and to participate in online classes.
Off-campus students that live in the City of West Haven should abide by the city’s parking ban during inclement weather to avoid having their vehicle tagged and towed. Please check the City of West Haven’s website for further information on their snow parking ban.
New Master’s in Data Science Prepares Students for Fastest Growing Field in U.S.
The exponential growth in the amount of data collected has increased the need for professionals who can understand and interpret what it all means.
November 29, 2018
The Tagliatela College of Engineering's Master of Science in Data Science program is being moved from San Francisco to New Haven.
Data Science has revolutionized banking and media; it’s a field, said Keith Dillon, that’s been "steadily getting hotter for over a decade as companies and governments have amassed larger and larger data sets. At the same time, new data science technologies such as scalable computing to process so much data, and machine learning to make sense from it, are really hitting pay dirt."
Many fields are still doing things "the old-fashioned ways because they lack the technology and know-how to exploit their data" said Dillon, assistant professor of the Electrical and Computer Engineering and Computer Science Department and coordinator of the Tagliatela College of Engineering’s Master of Science program in Data Science that is being moved from San Francisco to New Haven. "All of it points to opportunities for data scientists everywhere, whether the inclination is to work at the world’s largest corporations or its hottest new startups."
"There are two key features that set the Tagliatela College of Engineering’s data science program apart," he said. "The first is the experiential approach of the University of New Haven. This means a heavy focus on active learning to build the needed professional skills, starting with the first class. Students will not only be learning the theory and methods, but also applying them to real problems immediately."
The second key feature is that the content of the program is built around emerging machine learning and artificial intelligence methods. "As areas such as data science emerge, and the skills become highly sought-after, there is a tendency by some to repackage programs they already have under a more marketable name name," Dillon said. "Our program, however, is based on technologies such as machine learning and artificial intelligence, that hold the most promise for the future, in addition to being highly-valued today."
According to Glassdoor, data scientists – who can work in areas including healthcare, law enforcement, energy, and commerce – earn about $110,000 annually and those in the position have reported high levels of job satisfaction.
"Our program is based on technologies such as machine learning and artificial intelligence, that hold the most promise for the future."Keith Dillon
Dillon has more than a decade developing data science technology, at the Hughes Aircraft Company, and a series of startups. Co-founder of Formulens, which licenses data-driven algorithms, his recent research includes developing new algorithms, for finding disease from medical sensor data.
He’s been working in the field "since long before it was cool.. Now everyone is clamoring for the technology and know-how, and I get to help fill that need."