STUDENT OPPORTUNITIES
Empowering HBCU Students
The AUC Data Science Initiative designs and implements programming to support student development, skill enhancement, as well as funding and industry opportunities.
Virtual Student Data Science Symposium 2024
The AUC Data Science Initiative will host its third annual Student Data Science Symposium for all HBCU students and AUC Data Science Initiative students to share their data science work, including harnessing data science to address issues that face Black America.
This one day symposium celebrates and highlights the data science work of AUC students and those who participated in AUC Data Science Initiative programs…along with keynotes, food, exciting networking activities, and prizes.
PFx: PreFreshman Experience 2024
202022
The PreFreshman Experience (PFx): “Data for Social Impact“ – summer program offers incoming HBCU students a chance to engage in data science before the start of their first year. Throughout the one-week program, students will explore applications of data science and learn about different career opportunities.
About: This one-week virtual program exposes incoming HBCU freshmen to data science opportunities and how to use data on issues affecting Black America. This year’s theme, “Data for Social Impact,” will incorporate research topics that solve societal challenges through data insights and innovation.
Seeking: Motivated students with a passion for inquiry, investigations, and technology.
Program Dates: July 15-19, 2024 (Monday-Friday) from 11:00 am – 1:30 pm PT // 2:00 to 4:00 pm ET daily
Awards: Each participant, upon successful completion of the program will receive $350 stipend and a certification of participation.
THANK YOU ALL FOR A TERRIFIC 2024 PFX!
This program is sponsored by Mastercard and SAP
NSF REU Site: Application of Data Science to Chemistry (May 22nd - July 22nd)
Chemistry majors and other STEM (Science, Technology, Engineering and Math) majors interested in the interface between materials chemistry and data science are encouraged to apply to participate in a 9-week undergraduate research program hosted by Clark Atlanta University and Atlanta University Center Data Science Initiative. Participants will gain broad perspectives by participating in a dynamic research environment while working with a faculty mentor at one of the five research groups consisting of one chemistry and one data science faculty member. The program also includes several professional development activities, REU seminars with faculty and research scientists, and an end-of-program symposium.
Participants will receive a stipend of $5,400 for the 9-week program, a travel allowance, and housing on the Clark Atlanta University campus. In addition to this, the HarvardX’s Data Science certificate and GRE preparation costs for participating students will be covered under the program. Participants must be U.S citizens or permanent residents of the U.S. and currently enrolled in an undergraduate degree program at a U.S. college or university (be rising sophomores – seniors).
Data Science Club
Do you want to know more about data analytics? Big data and big business? Join the AUC Data Science Club to participate in projects, hear from industry speakers, and meet others who are studying and working in data science.
We will provide a space for people to grow and feel accepted by a community for empowerment.
Data Challenges
These cutting-edge competitions for enthusiastic scientist students who want to showcase their analytical and technical skills. We offer participating students opportunities to work in teams to develop solutions for problems utilizing big data. Earn MONEY & DEVELOP SKILLS!Stay Tuned to learn about upcoming challenges!
“Data analytics has become the vital skill for business students in today’s environment. Recruiters emphasize it constantly and we are hearing from our alumni and interns returning from the summer that they need to strengthen these skills. It does not matter which area of business you plan to enter; you need to know how to understand and analyze data.”