Hey there! If you’re an undergrad student considering a master’s in statistics, you might be wondering which undergraduate major to pursue. I recently came across a Reddit post from a student who was torn between applied math and statistics and probability. They wanted to know which major would give them a better shot at getting into a top 10 statistics program, preferably with a focus on pharma-biotech.
The student was initially leaning towards applied math, given its strong connection to their current major in chemical engineering. However, they were concerned that this might not provide the necessary preparation for a statistics master’s program. I totally get it – it’s tough to decide between two majors that seem to overlap.
So, what’s the best approach? In my opinion, if you want to get into a top statistics program, it’s essential to take multiple statistics courses, even if you’re majoring in applied math. This will demonstrate your commitment to the field and give you a solid foundation in statistical concepts.
That being said, applied math can still be a great choice, especially if you’re interested in process engineering. Just make sure to take electives that focus on statistics and probability to round out your education.
Another important factor to consider is internships. While it’s ideal to have internships directly related to statistics, it’s not always possible. However, if you can show that you’ve applied statistical concepts in a different field, such as engineering, it can still be valuable.
Ultimately, the key is to show that you’re passionate about statistics and willing to put in the effort to learn and grow. Whether you choose applied math or statistics and probability, make sure to take advantage of opportunities to gain practical experience and build your skills.