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.
A new master's degree program offered in San Francisco through a partnership between the University of New Haven and Galvanize aims to meet the demand for industry-focused data scientists.
July 20, 2016
Andrew Huang, '16 M.S.
Within the first few months of pursuing his master’s degree in data science, Andrew
Huang was tasked with analyzing more than a quarter million reviews on the travel
site TripAdvisor to identify common characteristics in travelers’ positive and negative
feedback.
The project opened his eyes to the power and scalability of machine learning – a subset
of the computer science field that examines pattern recognition – in making decisions,
he said. "An analysis that would take humans years to complete was run on a computer
using a machine-learning program in a matter of minutes."
This is one example of the applied-learning approach that is the hallmark of the new
data science master’s degree program the University is offering in San Francisco through
a partnership with Galvanize, an industry leader in competency-based learning.
Huang, who was part of the first GalvanizeU-UNH cohort that graduated from the program
in May, started his career working in the finance industry, where he "saw a need for
companies to learn from the data," he said. "I saw this master’s program as a perfect
opportunity to go back to school to learn this skillset.
The program shines in the engagement of the faculty with the students," he continued.
"They are with you on a daily basis, and they are fully committed to your learning
and development.
He also touted the industry-oriented practicum component of the program and his internship
opportunity at PowerScout, where he created the company’s first data warehouse using Amazon Redshift, an industry-leading
business intelligence application used by companies such as NASDAQ, Nokia and Pinterest.
A few weeks after completing the program, Huang was hired as a data scientist at Kayak, the popular travel search engine.
"I don’t think I would be working at Kayak without the Galvanize program," he said.
"Throughout my interview process, employers were consistently impressed with the projects
I completed."
"Disneyland for Technology"
Mike Mansour, '16 M.S..
Classmate Mike Mansour described the San Francisco-based campus as a "little Disneyland
for technology. I didn’t think a school could exist in such an environment. There
is no better place to learn technology than in the center of the tech capital," he
said.
His capstone project – "the most advanced level of machine learning I have applied"
– involved figuring out and rewriting a broken algorithm for topic modeling, a way
of identifying patterns in a collection of texts.
"It has gotten me a ton of attention and started many conversations – many around
employment prospects," Mansour said.
As part of his internship at Elastica, he is doing anomaly detection, algorithm design and cutting-edge experimental research.
His mentor there also spends time with him covering machine-learning topics that will
come up in interviews and attending industry meetings that bring together leading
machine-learning experts to discuss the latest topics.
"This program made my career," he continued. "I feel like I am approaching pro-level
of data science, and it would not be possible without all the instruction and tools
I received through GalvanizeU-UNH."
Science for Real-World Applications
Katherine Aquino, '16 M.S..
For Katherine Aquino, the program provided a way to pursue new opportunities and learn
new skills after working for more than a decade in education and the nonprofit sectors.
I helped low-income students become the first in their families to attend college,"
she said. "After many years of advising students, I realized it was time to continue
my own educational goals.
She previously earned a bachelor’s degree in physics from the University of California,
Irvine, and she wanted to return to her science roots. "Data science is the science
for real-world applications," she explained.
"The GalvinizeU-UNH program appealed to me because of its location, the industry-based
internships and the networking opportunities that would be available from the Galvanize
partnerships," said Aquino. "The program exceeded my expectations."
She is actively searching for career opportunities in data science while continuing
her internship as a data science consultant at Elastica, a leader in data-science-powered
cloud-app security. "I think my degree will help me transition my career into the
tech industry," she said, "and prepare me to apply data-science solutions to real-world
problems."