Join us in a Professional Seminar featuring three UNC Charlotte data science professionals Ilieva Ageenko, Rajib Paul and Robert Fox.

Abstract: Students in the M.S. in Data Science and Business Analytics (DSBA) and M.S. in Data Science and Health Analytics (DSHA) programs must complete a capstone experience to graduate. Join us for this virtual session to learn about the capstone pathways available in each program, including internships, practica, applied projects, and the master's thesis option. Presenters will review eligibility requirements, timelines, expectations, and strategies for selecting the pathway that best aligns with your academic interests and career goals. Whether you plan to gain industry experience, solve real-world business or healthcare challenges, or pursue research in preparation for doctoral study, this session will help you prepare for a successful capstone experience. Bring your questions and learn how to make the most of your final graduate milestone.

Presenters: 

• Ilieva Ageenko, Senior Lecturer, School of Data Science, teaches DSBA 6390: Data Science Practicum. She will provide an overview of the practicum, including course objectives, project expectations, and strategies for a successful experience. Before joining UNC Charlotte, Dr. Ageenko held executive leadership positions at Truist, Bank of America, Wells Fargo, and Grant Thornton, leading analytics, AI, and innovation initiatives. She brings more than 30 years of industry experience.
• Robert Fox, Senior Lecturer, School of Data Science, teaches HCIP/DSBA 6400: Internship Capstone. He will discuss internship requirements, expectations, and best practices for securing and completing a successful capstone internship. Prior to UNC Charlotte, he spent more than 20 years at IBM and Bank of America leading data science and analytics teams with expertise in AI, machine learning, cloud computing, MLOps, data visualization, and AI governance.
• Rajib Paul, Professor and Graduate Program Director for the M.S. in Data Science and Health Analytics, will discuss the DSHA capstone pathways. Dr. Paul earned his Ph.D. in Statistics from The Ohio State University and is an affiliate faculty member with AI4Health and CIPHER. His research spans health equity, infectious diseases, spatial statistics, Bayesian methods, machine learning, and causal inference. He has led research funded by the CDC, NIH, NSF, HRSA, and the Robert Wood Johnson Foundation, and his COVID-19 research received the Journal of Rural Health Article of the Year Award in 2021.