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College of Engineering at UMass Dartmouth

Endowed scholarships for College of Engineering students


College of Engineering students employed six months after graduation.


Average salary for engineering undergraduate alumni, class of 2023


College of Engineering current research funding


ES³ Engineering Student Support & Services

ES3 provides academic support, advising, peer mentoring, enrichment, referrals, and more.

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PhD graduate Shabnam Mohammadshahi in Dr. Ling's lab
Newly minted PhDs receive prestigious post-doc, tenure-track faculty appointments

Two class of 2024 engineering PhD graduates are moving on to highly competitive postdoctoral research and tenure-track faculty positions

Aerial view of UMass Dartmouth's main quad.
UMass Dartmouth is trending up

Highlights of an extraordinary academic year

PhD student David Anchieta in Sydney, Australia
Electrical engineering PhD student wins Best Paper Award from Acoustical Society of America

David Campos Anchieta recently received the award for a paper he presented at the ASA meeting in Sydney, Australia

Civil and Environmental Engineering Assistant Professor Nefeli Bompoti
Assistant Professor Nefeli Bompoti wins $1M in federal grants in first year at UMassD

The civil and environmental engineering faculty member recently received her second $500K award from the Environmental Protection Agency.

Students and SMART scholarship winners Chris Brunette and James Bourgeois stand side by side in the library
Two UMassD students receive prestigious SMART Scholarship

The Department of Defense SMART Scholarship awards full tuition and a stipend, and guarantees employment after graduation.


Juneteenth Day (no classes)

Juneteenth Day Holiday, Wednesday June 19, 2024 (No Summer Classes).

CPE Master of Science Thesis Defense by Noah David Oikarinen - ECE Department

Topic: TERRAIN PREFERENCE MODELING USING BAYESIAN BRADLEY-TERRY FOR AUTONOMOUS NAVIGATION FROM HUMAN DEMONSTRATION Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A Zoom Conference Link: Meeting ID: 927 3998 8519 Passcode: 355084 Abstract: Autonomous navigation in robotics relies heavily on machine learning techniques to learn from expert demonstrations and sensor data. However, traditional methods often struggle to adapt to novel or challenging environments, leading to suboptimal performance and potential safety risks. This thesis proposes a novel Bayesian approach to model terrain preferences for autonomous navigation, employing a combination of Markov Chain Monte Carlo and the Bradley-Terry model. By incorporating uncertainty into the reward weights of trajectories, our method improves the robot's ability to navigate safely in dynamic environments. Experimental results demonstrate that our approach outperforms existing methods in terms of risk avoidance and adaptability, highlighting its potential for real-world applications. Advisor(s): Dr. Lance Fiondella, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members: Dr. Hong Liu, Commonwealth Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Jiawei Yuan, Associate Professor, Department of Computer & Information Science, UMASS Dartmouth NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public. *For further information, please contact Dr. Lance Fiondella email at

Add/Drop Ends

Summer 2024 Add/Drop period for 100% refund ends for the 7-week session.

Wait List Ends

Summer 2024 Wait List ends for the 7-week session.

Pass/Fail Deadline

Summer 2024 Pass/Fail deadline ends for the 14-week full session.

Pass/Fail Deadline

Summer 2024 Pass/Fail deadline ends for the 8-week session.


College of Engineering


Dion Building, Room 326

UMass Dartmouth
285 Old Westport Road •  Dartmouth MA 02747

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