I’m about to embark on a journey to pursue a Master’s degree in applied statistics, with the ultimate goal of earning a PhD in the field. My passion lies in using statistical methods to make a difference in humanitarian aid research, particularly in areas like migration and refugee aid.
I took a two-year break from academia to work and save up, but now I’m ready to dive back in. However, I’m aware that I lack research experience, which is why I’m not applying directly to a PhD program. Instead, I’m looking to gain a stronger foundation in applied statistics through a Master’s program.
My research interests are still in their infancy, and I’m struggling to pinpoint specific areas to focus on. I’ve come across buzzwords like time series, spatial stats, and Bayesian stats, but I’m not sure how to narrow down my interests. To get started, I’m working on a mock research project using public migration data from the UNHCR and conflict data from ACLED, guided by Claude. This project is helping me review and build my skills, but I know I need more direction.
I sometimes wonder if my motivations for pursuing advanced degrees are valid. However, I can’t imagine myself doing anything else. I’ve always enjoyed being a student, and my dream is to become a college professor one day.
That’s why I’m seeking guidance on whether my plan makes sense, if applied statistics is the right field for my interests, and how to prepare for the journey ahead. As the first in my immediate family to pursue a graduate degree, I’m also looking for advice on navigating the world of research, assistantships, and grants.
If you’re reading this, I’d love to hear your thoughts on my trajectory. Have you pursued a similar path? Do you have any tips for a novice like me?