The discussion centers on the decision between pursuing a master's degree in computer science or data science, with the goal of eventually obtaining a PhD in computational astrophysics or planetary science. The importance of a strong physics foundation is emphasized, as knowledge in physics is crucial for success in computational physics. It is noted that self-teaching physics in preparation for the GRE Physics exam is challenging, especially without a formal physics degree. The participant is considering joining coaching centers for better preparation. The conversation also touches on the rigorous entrance requirements for PhD programs, including comprehensive exams in physics, which are necessary for candidates to demonstrate mastery of fundamental concepts. The consensus suggests that staying in computer science is more beneficial for a career in computational astrophysics, with recommendations to explore joint programs that integrate computer science and physics. The participant also expresses a desire to improve their teaching skills in physics and data science.