Data Science Events

The Data Science program at Mississippi State sponsors stimulating talks and discussions with experts in, and practitioners of, data science in a variety of fields.

August 2, 2022 from 8:30 a.m. to 4:30 p.m.

Developing the Data Science Ready Workforce of Tomorrow: Workforce Development and Higher Education in the Context of Digital Transformation

Center for Advanced Vehicular Systems
200 Research Blvd
Starkville, MS 39759

The use of data has become one of the most important competencies for organizational success. Successful organizations need a workforce with the expertise to acquire, process, store, and use data to gain insight and build smart systems. This need provides Mississippi’s workforce development and education system with a clear responsibility: prepare a workforce ready for digital transformation. This free one-day seminar, our first annual Back-to-School Data Science Seminar, focuses on the important role played by colleges and universities in building a data science literate workforce that will help Mississippi remain productive and competitive.

Sponsored by: Jones College and the Mississippi State University Data Science Program

Thank you to all who attended. Click the button below to access the complete conference schedule and downloads of some of the speakers' slide presentations.

Event Details and Downloads »

June 21, 2022 @ 1:30 PM

The Critical Nature of Data Science in the Development and Utilization of ‘Agricultural Autonomy’

Craig Baillie
Head of School and Dean, Agriculture and Environmental Science
University of Southern Queensland, Australia

Library Auditorium (Room 1000)
Mitchell Memorial Library

Visiting scholar, Professor Craig Baillie, will define and give examples of the meaning of agricultural autonomy which includes sensing, analytics, and autonomous actuation (i.e., robotics). Data Science is essential to the development and use of sensors and data in the agricultural context. This includes analytical technologies such as traditional statistics, spatiotemporal statistics which is required for precision agriculture, and even machine learning and artificial intelligence. Issues related to data volume (e.g., big data) will be considered along with the need for adequate wireless connectivity to transmit data and/or enable edge computing.

Sponsored by: The Department of Agricultural and Biological Engineering and the Data Science Program

Download Flyer »

Photograph of Craig Baillie Working in the Field

Craig Baillie
University of Southern Queensland, Australia

Get in Touch

To inquire about enrolling in the Bachelor of Science in Data Science, including dual-degree opportunities to combine Data Science with other majors and 4+1 opportunities to combine a Bachelor of Science in Data Science with a Master of Science in Business Administration, Computer Science, or other fields, please contact:

Lynn Taylor
Data Science Academic Coordinator