10/17/2024: 10:00 AM - 11:30 AM EDT
Panel
Room: Spruce Oak
Moderator: Tara Laux, Wake Forest University
Graduate school panels are an excellent opportunity for potential students to gain advice and awareness about the possibilities that further study in statistics and data science can hold. However, they often skew more towards doctoral studies, and master's degrees open tons of unique doors and possibilities! This panel, sponsored by the Caucus for Women in Statistics, brings together representatives from masters programs across statistics and analytics to shine the light on how graduates learn to "master the data." They will also discuss teaching strategies at the masters level.
Organizer
Sarah Lotspeich, Wake Forest University
Chair
Tara Laux, Wake Forest University
Target Audience
Beginner
Tracks
Influence
Women in Statistics and Data Science 2024
Presentations
The Applied Statistics for Social Science Research Masters program at New York University aims to teach students how to use quantitative methods to make positive social impact in the world. This rigorous but applied program consists of coursework that both teaches students why statistical models work, as well as which models to use for which real world problems.
Speaker
Daphna Harel, New York University
Duke University Master in Interdisciplinary Data Science (MIDS) combines rigorous computational and technical training with field knowledge and repeated practice in critical thinking, teamwork, communication, and collaborative leadership to produce data scientists who can add value to any field. Our core courses draw on expertise and involve faculty from different disciplines across Duke. By doing so, they reflect the multiple quantitative disciplines that contribute skill sets to data science.
Speaker
Andrea Lane, Duke University
The Master of Biostatistics program at Duke University, housed in the School of Medicine, is a two-year degree program with a balanced focus on analysis, biology, and communication. Each cohort of about 50 students is required to complete graded coursework, a practicum experience, a proficiency exam, and a master's project in order to complete their degree. With 70-75% of our students entering the workforce upon graduation, the career preparation and development component of the program is a unique and integral part of the student experience.
Speaker
Marissa C. Ashner, University of North Carolina at Chapel Hill
NC State University's Institute for Advanced Analytics, home of the nation's first Master of Science in Analytics (MSA) degree, has been at the forefront of data science education and practice for 17 years. Its 10-month MSA program affords students an intensive cohort-based learning experience structured around teamwork, industry- and government-sponsored practicum projects, and a fully integrated curriculum that continuously evolves to meet the challenges today's data scientists face.
Speaker
Valerie Schwartz, NC State University
The Department of Statistical Sciences at Wake Forest University offers the degree of M.S. in Statistics. The program is designed to accommodate both students seeking a terminal degree for work in industry or education, as well as those seeking preparation for Ph.D. in Statistics or Biostatistics at another institution. The degree requirements are flexible and permit both thesis and non-thesis programs of study, with opportunities to engage in research as well as data analysis competitions.
Speaker
Sarah Lotspeich, Wake Forest University