In part three of our job workshop series, we take a look at the essentials when it comes to professionalism in the workplace.
Author Archives: Dennise Cardona
A Meaningful Opportunity | UMBC Student Success Story
We had the pleasure of interviewing UMBC IO Psychology graduate student, John D’Amore about his experience with the program and also the benefits of the practicum course.
Promising Horizon | UMBC Industry News
The Translational Life Science Technology (TLST) degree at UMBC helps prepare students to create innovative biotechnology solutions to transform the health, agriculture, and environment sectors. They learn critical skills necessary […]
Masters of Art in Education | UMBC Career Outlook
We sat down with UMBC’s Masters of Art in Education program director, Jerri Frick, to learn more about this unique program and how it’s helping certified teachers gain more success […]
The Power in Knowledge | UMBC Industry News
UMBC researchers are sharing their knowledge and expertise about COVID-19 with the entire UMBC community, helping us to stay healthy and make informed decisions. One of the key components of […]
How to Prepare for a Job Interview [VIDEO]
In part two of our job workshop series, we take a look at the steps you should consider when preparing for a job interview.
Extending Beyond Ordinary | UMBC Industry News
UMBC encourages our community of researchers to extend beyond ordinary to make a difference in the lives of others.
Job Search, Offers, and Salary Negotiations [VIDEO]
In today’s uncertain world, one fact remains true – there are advantages to proper planning when it comes to job searching.
Real-Life Benefits | UMBC Student Success Story
We had the pleasure of interviewing alum, Tom Hennessy, M.P.S. ’19, about his experience with UMBC’s Entrepreneurship, Innovation, and Leadership graduate program. He explained candidly how the program has helped […]
The World of Machine Learning | UMBC Industry News
Recently, three UMBC student researchers were awarded Goldwater Scholarships for their research in various areas including neuroscience, genetics, and machine learning bias.