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Hi all,

This post will be long, but I hope in giving more relevant information, the replies will be more helpful. Apologies for the length, and thanks for reading, given now. I'll state the question here though to avoid you having to search for it:

I have a BSc and an MA in philosophy. I love it and wanted to do a PhD in it and get a uni job. This was my single-minded dream. But the state of uni employment has gotten worse, especially for lots of arts and humanities subjects, since my undergrad ended in 2008. I've decided it's not worth the sacrifice.

Studying philosophy meant mathematical logic. I enjoyed it and did well. This led me to start a part-time degree in mathematics and statistics in 2009. I had to stop for my philosophy MA but am now studying it again. My goal is to become a professional statistician. Almost certainly in medical statistics or public health as, of stat jobs, this seems to fit best with my several motivations (increase store of human knowledge; expose charlatans who peddle fear and prey on people with health problems and surplus cash; help finding effective treatments/interventions for diseases; a good work-life balance (I would never, ever,

(I know a master's is required for many stats jobs in this field and I have been encouraged by a top uni here to apply for a 1-year course in maths/stats for semi-numerate graduates to gain access to their MSc Statistics. But I feel I need more of my current undergrad courses to make sure I pass this access intensive crash course. Only 65% or above guarantees an MSc place. And it's all far more expensive than my current undergrad institution.)

In this undergraduate I am currently on, either track covers the same maths content up to the second year. I am completing my first 100 of 360 credits (unless I transfer elsewhere for the MSc).

I can only pick one.

If it is relevant, almost the entire final year is statistics. 1/4 is applied probability. 1/4 is linear modelling. 1/4 is mathematical statistics. The last quarter would be the same on either track - I would pick a course on applied discrete mathematics.

Also covered in the second year are: multivariate statistics, time series, Bayesian inference, and medical statistics.

I include this content as it is probably relevant regarding my question. You can see all but one stats module is applied. And being 28, in massive student debt, two degrees for an aborted career, living with parents, no car (can't afford driving lessons even), no savings and working in a supermarket at night, stacking shelves, I made a deal with myself: I must study something I enjoy, but it

But, for what it's worth, I do not like calculus (I know this is in both tracks but it appears there is less in the pure track), and did really enjoy mathematical logic during philosophy, so that makes me think pure.

Sorry again for such a long post. I really have no time or money now to waste on fascinating but only useful-in-periphery subjects (I know, 'unreasonable effectiveness of mathematics', 'logical thinking is always useful etc. etc.) but by the same token I do not want to slog through a track I do not enjoy so much - which is how the applied track appears to me - if it is not much more beneficial to my goal of becoming a professional statistician.

Thankyou so much in advance.

This post will be long, but I hope in giving more relevant information, the replies will be more helpful. Apologies for the length, and thanks for reading, given now. I'll state the question here though to avoid you having to search for it:

**Does it make any real difference whether one takes either applied maths or pure maths, with statistics at undergraduate level, if there is no interest in a PhD in either?**I have a BSc and an MA in philosophy. I love it and wanted to do a PhD in it and get a uni job. This was my single-minded dream. But the state of uni employment has gotten worse, especially for lots of arts and humanities subjects, since my undergrad ended in 2008. I've decided it's not worth the sacrifice.

Studying philosophy meant mathematical logic. I enjoyed it and did well. This led me to start a part-time degree in mathematics and statistics in 2009. I had to stop for my philosophy MA but am now studying it again. My goal is to become a professional statistician. Almost certainly in medical statistics or public health as, of stat jobs, this seems to fit best with my several motivations (increase store of human knowledge; expose charlatans who peddle fear and prey on people with health problems and surplus cash; help finding effective treatments/interventions for diseases; a good work-life balance (I would never, ever,

*ever*want some 70+hour a week, every week, with long commute, weekend working, staying away, on-call at 3am job)). Of course I will take whatever stepping-stone job I can get right now that will help down the line when I am more qualified.(I know a master's is required for many stats jobs in this field and I have been encouraged by a top uni here to apply for a 1-year course in maths/stats for semi-numerate graduates to gain access to their MSc Statistics. But I feel I need more of my current undergrad courses to make sure I pass this access intensive crash course. Only 65% or above guarantees an MSc place. And it's all far more expensive than my current undergrad institution.)

In this undergraduate I am currently on, either track covers the same maths content up to the second year. I am completing my first 100 of 360 credits (unless I transfer elsewhere for the MSc).

__Pure track then__covers: formal proof, abstract structures, linear algebra, analysis, group theory.__Applied track covers:__differential equations, linear algebra, vector calculus.I can only pick one.

If it is relevant, almost the entire final year is statistics. 1/4 is applied probability. 1/4 is linear modelling. 1/4 is mathematical statistics. The last quarter would be the same on either track - I would pick a course on applied discrete mathematics.

Also covered in the second year are: multivariate statistics, time series, Bayesian inference, and medical statistics.

I include this content as it is probably relevant regarding my question. You can see all but one stats module is applied. And being 28, in massive student debt, two degrees for an aborted career, living with parents, no car (can't afford driving lessons even), no savings and working in a supermarket at night, stacking shelves, I made a deal with myself: I must study something I enjoy, but it

**must**be a powerful aid to my CV and lead to a fulfilling and financially comfortable career. Not necessarily 6 figures, but certainly halfway there after a decade at least. This all makes me think I should pick applied maths. Statistical jobs in industry are, after all, applied. And I need the step from study to work to be as small and swift as possible.But, for what it's worth, I do not like calculus (I know this is in both tracks but it appears there is less in the pure track), and did really enjoy mathematical logic during philosophy, so that makes me think pure.

Sorry again for such a long post. I really have no time or money now to waste on fascinating but only useful-in-periphery subjects (I know, 'unreasonable effectiveness of mathematics', 'logical thinking is always useful etc. etc.) but by the same token I do not want to slog through a track I do not enjoy so much - which is how the applied track appears to me - if it is not much more beneficial to my goal of becoming a professional statistician.

Thankyou so much in advance.

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