M.S in Applied Mathematics vs M.S in Statistics?

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Discussion Overview

The discussion revolves around the comparison between pursuing a Master of Science in Applied Mathematics versus a Master of Science in Statistics. Participants explore the implications for marketability, pay, and the applicability of each degree in various industries, particularly in relation to the original poster's background in Chemistry and interest in Mathematics.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation

Main Points Raised

  • The original poster expresses a preference for Applied Mathematics due to a lack of familiarity with Statistics and perceives it as more broadly applicable in real life.
  • One participant notes that statisticians, particularly those focused on industrial processes, have a wide range of employment opportunities, suggesting that Statistics is a specialized but widely needed skill.
  • Another participant mentions that while Applied Mathematics may be broader, finding employment could be more challenging as companies might not specifically seek applied mathematicians, even if they require similar skills.
  • The original poster considers a specific program at SUNY Stony Brook that offers a concentration in Statistics within an Applied Math degree, questioning how it compares to a standalone M.S. in Statistics.
  • A later reply provides a link to the SUNY Stony Brook program, suggesting it is reasonably applied and could lead to various career paths depending on elective choices.

Areas of Agreement / Disagreement

Participants do not reach a consensus on which degree is superior; instead, they present differing views on the marketability and applicability of each degree, indicating that multiple competing perspectives remain in the discussion.

Contextual Notes

Participants express uncertainty regarding the specific job market for applied mathematicians versus statisticians and the potential overlap in skills required for both fields. There is also a lack of clarity on how specific programs may align with career goals.

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I'm a Chemistry major with Math minor. After graduation I want to work for a few years and go to grad school for a career change. Throughout my undergrad years I somehow lost interest in Chemistry and now like Math a lot better (courses such as Differential Eq, PDE). First thing that came to my mind was getting one of the two, but now I'm leaning toward Applied Math because I'm just not familiar with Stats and it feels too specified. Also Applied Math seems to have broader use in real life, though I'm not sure.

So how do they compare in terms of marketability and pay?

What worries me is that when I googled "M.S in Applied Mathematics" nothing much showed up, though NJIT's program seems nice. It accepts Science majors and have low GPA threshold (lol).
http://math.njit.edu/docs/ms-appmathbrochure.pdf

Other things:
I don't want to go into teaching.
I'm not interested in pure math.
Also not interested in getting a Ph.D

Thanks in advance.
 
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Statisticians, especially statisticians with an interest in industrial processes, can find employment in a broad swath of industry. This is a narrow skill, but one that is used everywhere. Applied math can be broader, but it is likely you find it more difficult to seek employment because very few companies have need of applied mathematicians. They may need your skills, but they will call it something else.

Here is the website of an applied mathematician. http://www.johndcook.com/ He works for M. D. Anderson cancer center in Houston, TX. His specialty is software to help design clinical trials for cancer drugs. Thus he is in fact doing statistics, and programming, but he sees it as applied mathematics.
 
^Ahh thanks for the reply. Right now I'm looking at SUNY Stony Brook's M.S Applied Math with concentration in Statistics. Not sure if it's same as getting M.S in Statistics though.
 
http://www.ams.sunysb.edu/STAT/STATHome.shtml
This seems like a reasonably applied program. You could probably take it in a number of directions with your electives. I would consider this degree program pretty similar to a number of MS Statistics programs I have seen. A good practice is to check and see what companies recruit from this program, and see whether you would want to work for one of them.

AMS 507 Introduction to Probability
AMS 510 Analytical Methods for Applied Mathematics and Statistics
AMS 570 Mathematical Statistics I
AMS 572 Data Analysis
AMS 573 Design and Analysis of Categorical Data
AMS 578 Regression
AMS 582 Design of Experiments
+ 3 electives
 

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