Hey there! I recently came across a question from someone who’s wondering if they can pursue a Master’s in Statistics with a background in Information Systems and Business Analytics. I thought it was a great question, and I’d love to share my thoughts.
The person in question has a Bachelor of Science in Information Systems and Business Analytics and is currently working as a data analyst at a consulting firm. They have good programming skills in Python, SQL, and R, but lack the traditional math and statistical theory prerequisites for a Master’s in Statistics. However, they’ve completed Calc II and applied statistical modeling, and are planning to take multivariable calculus and linear algebra as a non-degree student.
The big question is, can they get into a graduate school with this less traditional path? In my opinion, it’s definitely possible. While they may not have the traditional prerequisites, they have relevant work experience and a strong foundation in programming. By taking additional courses in math and statistics, they can demonstrate their commitment and ability to succeed in a Master’s program.
My advice would be to focus on building a strong portfolio that showcases their skills and experience. This could include projects they’ve worked on, statistical models they’ve developed, and any research papers they’ve written. Additionally, they should research graduate programs that align with their interests and goals, and reach out to professors or advisors for guidance.
It’s not going to be easy, but with hard work and determination, I believe it’s possible to get into a Master’s program in Statistics with an unconventional background.