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## PDF Editor FAQ

## What jobs are there for applied mathematics majors?

I have to play a little bit of devil's advocate... For reference, I'm a Physics PhD, my wife is an Applied Math PhD, and we both have highly technical industry jobs.My answer will also assume that you are asking what you can do in industry, as opposed to more school / academia.The politically correct answer goes something like "with a degree in math, you can do anything!". Take your pic: finance, economics, statistics, engineering, software, big data, science of all kinds, etc. I heard the exact same thing about having a Physics degree; lots of demeaning talk about engineers and how "of course physics students could get engineering jobs, stupid engineers!". (ok, that's not a direct quote of anyone, but since I have an engineering undergrad degree, I knew the sentiment was ridiculous) I think this mindset is generally quite condescending, implying that with a math (or physics) degree, you can easily out-compete anyone who actually studied for these fields.The problem here is that the usual-suspect industries have specific degree programs (or at least specializations) that are meant to feed right into them. This means that the entire application process will be an uphill battle for you; you'll have to continually be "selling yourself", explaining not only how you're smart and a hard worker, but also why you think you should be hired over applicants who may have specifically studied industry X in school. You need to keep this in mind: by getting a degree in math and looking for an industry job you will most likely be competing with applicants who look better on paper than you do, because believe it or not, employers don't always take the awe-struck view of math grads that math students have...It's true that, for many (most) industry jobs, even graduates who have the "right" degree will still need to be trained up on specific job tasks and procedures. This is why you have a chance to slide in, because to some extent what companies need are competent technical minded people who can learn. It's not enough, though, to just say "I have a math degree, of course I can learn!", you have to demonstrate that you can learn the sort of thing that they want you to learn. So here are some suggestions that helped my wife and I get the jobs we did:1) Double major! Get a EE or CS degree to go with your math degree. Then you'll be unstoppable.2) Failing that, minor in something else, or at least complete a few programming courses.3) Pick a target industry or two in your junior year and start making inroads: look into professional society meetings, student chapters, clubs, etc.4) Do extra-curricular stuff: free online courses, conferences, open-source stuff, professional certifications, etc.You may not know it, but "applied math" can actually have a very broad meaning. It can range from very VERY specific industry related studies all the way to basically "just-this-side" of pure theory (existence and uniqueness of PDEs instead of connections on manifolds). So if you are looking into the kind of applied math program that is strongly interdisciplinary (sometimes called "industrial math"), then you might be on stronger footing. You'll still have to sell yourself, though.OK, don't give up, though. Math is awesome (I have an undergrad degree in math), and you can certainly get almost any kind of technical job with a math degree. Just don't expect anything to be handed to you!P.S. Don't forget to think about grad school! It's super fun, interesting, and if you stay for a PhD the school will usually support you completely!

## Would I be marketable and "versatile" if I graduate with a degree (BMath) in Applied Math, and minor in CS and Statistics?

A2A. Would I be marketable and "versatile" if I graduate with a degree (BMath) in Applied Math, and minor in CS and Statistics?Entry Level Applied Mathematics Jobs, Employment is the list of the current opening. You can look at the jobs description to see if you applied math major, computer science and statistics are marketable.Note: Applied mathematics have an application cluster, which you have not mentioned.

## What are the backgrounds of the Quora data team members?

Like some other data scientists on the data team (including Olivia Angiuli), I also went to undergrad at Harvard.I started off college wanting to do something around Mathematics and Economics, but took Harvard Stat 110 with Joe Blitzstein on a whim freshman year. That class (and its professor!) changed the trajectory of all of my academic interests, and focused me much more on statistics.I ended up declaring Mathematics and Statistics as my “major”, and then sometime later dropped the Mathematics part to keep the Statistics part since it eventually became more clear where my interests were.I ended up taking many advanced classes in statistics with the encouragement of Joe and along with a core group of three other classmates: Sebastian, Raj, and Jessy. I also spent 4 semesters being a “Teaching Assistant” for various intro statistics classes (in particular Stat 110), which I enjoyed as well.The focus and interest towards Mathematics was due to a long-time interest in math throughout all of middle school, high school, and part of elementary school. However, I took Group Theory and eventually realized that my love of math was more in its applications instead of proof-based research, which led me to find Statistics as an ideal surrogate.I did some sort of program at Harvard which allowed me to graduate in 4 years with both a Bachelor’s Degree in Statistics and a Master’s Degree in Applied Mathematics. The choice of field of Applied Mathematics was mostly me finding out what major best fit the classes I had already taken. Similarly, I have a “minor” in Computer Science, but that was mostly me finding out that I had enough classes to get this credential without any additional work.I did a senior thesis with Professor David Parkes (who is now one of the two chairs of the Harvard data science initiative) and PhD student Hossein Azari that proposed and evaluated a new method for aggregating rank data. My senior thesis was titled “How to Order Sushi: A Nonparametric Approach to Modelling Rank Data”. It was a fun topic in social choice theory that lied in a neat intersection between Machine Learning, Economics, and Statistics.Data science at Quora was my first job after graduation, but I had the fortune to also do two data-related internships during my last two years at school. The summer after my sophomore year, I interned at Etsy (company) as a Data Analyst Intern working with the business intelligence team (this internship extended a bit into part-time remote work). The following summer, I interned at Quora (company) as a data science intern. I enjoyed my internship at Quora a lot so decided to come back.I had two phases in my life where I was deciding between working in quantitative finance and data science. I chose data science both times (see Why did you choose to work in data science over quantitative finance?). During those same two phases, I also chose Quora over other data science positions (see Why did you choose to work at Quora?).Some more answered questions about my background: Why did William Chen choose statistics instead of computer science or computer engineering?, Did William Chen want to work as a data scientist from high school?, What classes did William Chen take while he was at Harvard University?.

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