A New Mathematician's Apology -- Where the jobs are

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In summary, the conversation discusses the state of Math PhD in today's workforce and the value of math skills in various careers. There is a mention of the limited number of academic jobs available for math PhD graduates and the importance of gaining marketable skills. The participants also touch on the division between pure and applied mathematics and express a desire to eliminate any snobbery towards applied fields. Finally, the line between pure and applied math is considered and it is acknowledged that some branches of math may never have practical applications but are still valuable to work on.
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  • #2
jedishrfu said:
Here's an interesting blog perspective on the state of Math PhD in today's workforce:

https://ldtopology.wordpress.com/2017/03/18/a-new-mathematicians-apology/

Totally agree with this. I will have (soon) my master's and not a PhD, but even then I have been trying to figure out what my value is in the workplace. I've found it coming into play in very surprising ways. That is to say, I've surprised myself at how valuable my "math" skills are in areas that seem to have nothing to do with mathematics, and thankfully, my employer is also recognizing this as well.

-Dave K
 
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  • #3
I too largely agree with the blog perspective. It is certainly true that there is a much more limited number of academic jobs available for all PhD graduates, including math PhDs, but the training that math MS or PhD graduates in particular receive is of increasing importance in a wide range of careers, and not just in finance, security, or statistics/data science.

It is interesting to note how the blog post states that 'We should not push students into applied math and statistics courses or make them into “data scientists”'. I disagree somewhat with this assessment. While I wouldn't state that math students should be pushed into these courses, I do think that undergraduate math students should be strongly encouraged (or required) to include some applied math and statistics courses (along with programming courses) as part of their curriculum, for the following reasons:

1. I think it is important for math students at the undergraduate level to get a sense of the breadth and range of the mathematical sciences as a whole, and how the different areas of mathematics connect to each other. In this respect, having students take a few applied math or statistics courses would broaden the level of understanding in how math connects to the world.

2. In general, it is important for all students to gain a broad range of marketable skills which can complement their education. Including programming or CS courses, along with applied math or statistics courses, in the curriculum is a relatively painless way for math students to gain precisely these type of marketable skills.
 
  • #4
StatGuy2000 said:
I too largely agree with the blog perspective. It is certainly true that there is a much more limited number of academic jobs available for all PhD graduates, including math PhDs, but the training that math MS or PhD graduates in particular receive is of increasing importance in a wide range of careers, and not just in finance, security, or statistics/data science.

It is interesting to note how the blog post states that 'We should not push students into applied math and statistics courses or make them into “data scientists”'. I disagree somewhat with this assessment. While I wouldn't state that math students should be pushed into these courses, I do think that undergraduate math students should be strongly encouraged (or required) to include some applied math and statistics courses (along with programming courses) as part of their curriculum, for the following reasons:

1. I think it is important for math students at the undergraduate level to get a sense of the breadth and range of the mathematical sciences as a whole, and how the different areas of mathematics connect to each other. In this respect, having students take a few applied math or statistics courses would broaden the level of understanding in how math connects to the world.

2. In general, it is important for all students to gain a broad range of marketable skills which can complement their education. Including programming or CS courses, along with applied math or statistics courses, in the curriculum is a relatively painless way for math students to gain precisely these type of marketable skills.

I always sensed a vague snobbery towards stats and computer science from the so-called pure math community, which I think needs to die.
 
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  • #5
dkotschessaa said:
I always sensed a vague snobbery towards stats and computer science from the so-called pure math community, which I think needs to die.

I agree with you that there is a certain snobbery towards "applied" fields such as statistics, computer science, or applied math from the "pure math" community -- attitudes that are unhelpful and should die out.

I would also add that, in my own humble opinion, the line between pure and applied mathematics is artificial and arbitrary. Much research in pure math has spawned applications (e.g. number theory in cryptography, mathematical logic in computer science, more recently algebraic topology in statistics/data science) and developments in what is generally accepted in applied math (e.g. differential equations, dynamical systems, mathematical physics) have subsequently influenced developments in various branches of pure math.
 
  • #7
StatGuy2000 said:
I agree with you that there is a certain snobbery towards "applied" fields such as statistics, computer science, or applied math from the "pure math" community -- attitudes that are unhelpful and should die out.

I would also add that, in my own humble opinion, the line between pure and applied mathematics is artificial and arbitrary. Much research in pure math has spawned applications (e.g. number theory in cryptography, mathematical logic in computer science, more recently algebraic topology in statistics/data science) and developments in what is generally accepted in applied math (e.g. differential equations, dynamical systems, mathematical physics) have subsequently influenced developments in various branches of pure math.

As far as how mathematicians work and what they do, I think the line between pure and applied math will always be there and is in some sense necessary. The work that many mathematicians do involves following a line of questioning that can take them well out of any practical realm, and while these can and do filter back into applied fields, we should not insist that they must do so. Some of my favorite fields of math will probably never, ever,ever,ever have any "real world" use but are so delightful to work with that I just don't care. (I'm thinking specifically of large cardinals here and some really foundational mathematical logic stuff).

What I don't like is the consideration that pure math is somehow more noble or, well, pure and that doing applied mathematics equates to some type of selling out. Or that statistics is just glorified arithmetic and so doesn't offer any purely mathematical insights and so isn't worthy of investigation for it's own sake. (Ok, I've never heard anybody say that out loud, but it's what they are thinking!)

-Dave K
 
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1. What is the premise of "A New Mathematician's Apology -- Where the jobs are"?

The premise of "A New Mathematician's Apology -- Where the jobs are" is to explore the current job market and opportunities for mathematicians. It aims to address the common misconception that there are limited job opportunities for mathematicians and to showcase the diverse range of industries and roles that require mathematical skills.

2. Who is the target audience for this book?

The target audience for this book includes mathematicians, students studying mathematics, and individuals interested in pursuing a career in mathematics. It is also relevant for employers and recruiters looking to understand the value and potential of hiring mathematicians.

3. What industries and roles are available for mathematicians?

Mathematicians can find job opportunities in a variety of industries such as finance, technology, healthcare, government, and education. Some common roles for mathematicians include data analyst, actuary, statistician, operations researcher, and software engineer.

4. How can this book help me in my career as a mathematician?

This book can provide valuable insights and information on the current job market for mathematicians. It can help you understand the different industries and roles available, and how to leverage your mathematical skills and knowledge to excel in your career. It can also offer tips and advice on job searching, networking, and professional development.

5. Is this book only relevant for mathematicians?

No, this book is also relevant for individuals in other fields who work with mathematics or utilize mathematical skills. It can provide a better understanding of the value of mathematics in various industries and encourage cross-disciplinary collaboration. It can also serve as a source of inspiration for those considering a career change or wanting to improve their mathematical skills.

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