As I said, I’d like to do formal epistemology. I’m an undergrad right now, and I need to decide on my major. If that’s about all the formal stuff I’ll need then there are a bunch of different majors that include that, and the question becomes which additional courses could help with formal epistemology or related disciplines.
Here’s what I’ve come up with so far:
Choice 1: Applied Statistics. This allows several electives in other subjects, so I could do e.g. a minor in CS with only one or two extra course requirements.
Choice 2: Mathematical Statistics. Less electives in other subjects, more electives in math/stats. I could still probably do a CS minor along with it if I wanted.
Choice 3: Math degree, possibly with a stats focus.
Choice 4: Some other degree (e.g., CS, economics) and just make sure to get the probability theory in at some point.
I’m anyway doing a minor in philosophy, which includes at least some logic.
“Math sophistication” is good, as is familiarity with basic stats and ML. In computer science depts., ML is often taught at the grad level, though. Specific major not so important.
I found reading and doing proofs paid a lot of dividends.
That’s it?
I suppose modal logics of belief.
Thanks! Ok, so now a more detailed question:
As I said, I’d like to do formal epistemology. I’m an undergrad right now, and I need to decide on my major. If that’s about all the formal stuff I’ll need then there are a bunch of different majors that include that, and the question becomes which additional courses could help with formal epistemology or related disciplines.
Here’s what I’ve come up with so far:
Choice 1: Applied Statistics. This allows several electives in other subjects, so I could do e.g. a minor in CS with only one or two extra course requirements.
Choice 2: Mathematical Statistics. Less electives in other subjects, more electives in math/stats. I could still probably do a CS minor along with it if I wanted.
Choice 3: Math degree, possibly with a stats focus.
Choice 4: Some other degree (e.g., CS, economics) and just make sure to get the probability theory in at some point.
I’m anyway doing a minor in philosophy, which includes at least some logic.
“Math sophistication” is good, as is familiarity with basic stats and ML. In computer science depts., ML is often taught at the grad level, though. Specific major not so important.
I found reading and doing proofs paid a lot of dividends.