Data Science

At the heart of our mission is a commitment to leveraging data-driven insights to create a more responsive and student-centric environment. We believe in the transformative power of data to inform strategic decisions that positively impact the entire Howard University community.

Data science in higher education involves the application of advanced analytics, statistical methods, and machine learning techniques to analyze and derive insights from large volumes of data generated within academic institutions. The primary goal is to leverage data-driven decision-making to enhance various aspects of the higher education experience, including administrative operations, student success, research, and strategic planning. Our data science is focused on contributing to the strategic success of the University through the following key areas:

1. Enrollment Management
2. Student Success and Retention
3. Operational Efficiency
4. Predictive Analytics for Institutional Planning
5. Financial Planning & Resource Allocation

Behind every successful initiative is a talented and dedicated team. Our data science team is comprised of skilled professionals who bring diverse expertise in machine learning, statistical analysis, and data visualization. Together, we are united by a passion for using data to drive positive change in higher education.

• Lu Qin, Ph.D. – Principal Data Scientist

• Department of Education Annual Projection
• Howard University Fall/Spring 2024 Forecasting
• Academic Profile: Undergraduate, Graduate, Professional
• Undergraduate Course Map Trajectory in Microsoft Azure (Upcoming)
• Student Chatbot Application (Upcoming)