Data Science Day
May 7, 2025
Rutgers–Camden Campus Center
The Graduate School started a two-year Masters program in Data Science in the Spring of 2023, with the first full cohort of students being admitted in Fall 2023. The program has been envisaged as a unique interdisciplinary program on the Camden campus: it leverages faculty strengths in Computer Science, Mathematics & Statistics, as well in select areas of Public Policy and Administration and other social sciences. Alongside core courses in Data Science foundations including Programming & Reasoning; Statistical Methods; Data Visualization and Applied Machine Learning and Data Mining, students have the ability to take electives across different Data Science areas, with accommodation for independent study experiences, internships and capstone projects and theses.
The Data Science program is very hands-on and almost every course requires the completion of one or more significant projects. Our first Data Science Day on May 7, 2025, in the Rutgers–Camden Campus Center, Pit and Raptor Roost,
will be a celebration of Master’s capstone projects completed by students who started the Data Science program in Fall 2023.
Advisory Group
We are honored to invite these distinguished professionals in an advisory capacity to our graduate program:
Mr. Balu Masti
Entrepreneur, UC Berkeley SkyDeck Ambassador, Co-Founder HUM Consultancy Services
Mr. Raju Sankuratri
Chief Information Officer, Aramark + Avendra International
Dr. Chris MacDermaid
Director of Protein Design and Informatics, Glaxo Smith Kline
Dr. Eric Yang
Senior Director of Data Science, Medidata Solutions
Poster Exhibition (4 PM – 5:30 PM)
Campus Center Pit area and Raptor Roost
Students will be on hand to explain and, in some cases, to conduct live demonstrations of their Capstone Projects. Our advisory group along with selected faculty, will be the principal judges in assessing the project posters. The session will be open to the campus community. Once the posters are judged, prizes and certificates will be awarded to the three best projects.
Panel Discussion (5:45 PM – 7 PM)
Campus Center, South ABC
Disciplines like Data Science (and indeed, the whole educational enterprise) are at an inflection point with the enormous strides made by Artificial Intelligence, Machine Learning and their applications like Large Language Models (LLMs) in just the last couple of years. There are plenty of exciting opportunities and challenges to meaningfully assimilate these technical advances into graduate education and training.
Our advisory group will engage in a panel discussion with Dr. Shende (Computer Science) and our next Graduate Director, Dr. Haydee Herrera-Guzman (Mathematics) to reflect on ways in which Data Science programs could evolve to meet the moment where exposure to industry professionals, the development of robust industry ties and internship opportunities, and training focused on soft skills, entrepreneurship and ethical use of data will be as important as technical expertise.
Dinner (7 PM – 8:30 PM)
Campus Center, South ABC
Participating graduate students, faculty, staff and panelists will be invited to a dinner event immediately following the panel discussion.
Registration
The Panel Discussion and Dinner events are open by registration only to graduate students in Data Science, faculty, and staff. Registration is not required for the Poster Exhibition.