Backgroud: I have a BS in mathematics, and teach high-school mathematics. I'm working on my MS in applied mathematics part-time (in an actual classroom), but I'm considering switching over to a PhD program.

How much math have you studied? How much CS? Do you like proofs?

A degree in math is not just about knowing statistics and algorithms. You need to have the dedication to plug away at a seemingly dense problem, without visible success, for often hours at a time. If you've done a lot of programming, you might have the skill set for this already.

Beyond that, the best advice I can give to any math student is this: whether or not your teacher checks your homework is irrelevant. Do every assignment, and make sure you understand it. If you don't do so, you're probably in for a rude awakening on a test. There might be a level you can rise to, in HS or in college, without doing homework, but you will eventually hit the ceiling.

I assume an online course is twice as hard in this regard, as it's easier to put on the back burner. Start out taking only one class at a time. Get used to the level of work you'll have to put into it. It will probably be more than you're expecting.

Finally, while I can't say anything about the university you've picked out, I will warn you: a number of my math/science professors mocked the idea of getting a Bachelor of Arts in the hard Sciences, because BAs don't go as deeply into the subject matter as a BS. If you're not planning on a career change into engineering, academia or the sciences, this probably doesn't affect you, and I wouldn't worry about it. Just be aware of the bias.

Fair. In my case I'm actually happy about the BA nature of the degree because so much of what I do and will do revolves around telling hypothetical stories about communities of people.

>because BAs don't go as deeply into the subject matter as a BS

Some places, like Oxford and Cambridge, only give BAs not BSs - so it's not always a good guide unless you know the institute.

Oxford and Cambridge are certainly exceptions. In general, if an institution offers both a BS and BA in the same subject (at least in the sciences), the BS tends to be more technical.

I'm not saying this to diminish the value of a BA, because what their curriculums lack in technical equivalence are often compensated for in breadth and general well-roundedness.

Of course this is not hard fact, but it's a generally correct pattern in American universities.

I hope that it was clear that I wasn't trying to diminish the value of a BA either. There is definite merit to wanting more breadth than depth, especially if you already have a job. I just wanted the OP to be aware of the biases out there. The school he's looking at doesn't offer a BS in Math, but it does offer other BSes.

> The school he's looking at doesn't offer a BS in Math, but it does offer other BSes.

Sounds similar to UC Berkeley. The do offer BSes, but not in math.

Here are some majors that offer only BA, not BS:

   math, applied math, physics, earth and planetary sciences,
   molecular and cell biology, astrophysics

Here are some majors that offer only BS, not BA:

   chemical engineering, nutritional science,
   molecular environmental biology, molecular
   toxicology, business administration,
   engineering

And here are some that offer both:

   chemistry, computer science, environmental sciences

The reason the latter three offer both is that you can take these from two different colleges. You can get your computer science degree, for instance, from the College of Engineering, in which case it is a BS, or from the College of Letters and Science, in which case it is a BA.

There are also schools where the only difference between the BA and BS is in the requirements for electives outside your major. For instance, I recall one school where a BA required a certain number of units in a foreign language. The BA and BS required the same total number of units and the same required courses in the major--the BA simply required that you include in your electives a foreign language.

There are even schools where the requirements for BA and BS are exactly the same. When you fill out the form where you tell them how you want your name spelled on your diploma, you also check a box to say whether you want it to be a BA or BS.

When interviewing a candidate, you really should place no stock whatsoever in BA vs. BS, unless you know that his school offers both and you know the differences between them. There are just too many exceptions to make any kind of generalization about the two that won't give too high of a misclassification risk.

No I think you were perfectly reasonable. I was just afraid that my statement of "BAs aren't as technical as BSes" could be misinterpreted as "For a given technical subject, a BS is superior to a BA," when in reality there are often more important considerations than technical rigor.

>Oxford and Cambridge are certainly exceptions. In general, if an institution offers both a BS and BA in the same subject (at least in the sciences), the BS tends to be more technical.

Are you sure? In my case the difference between a BA and a BS was taking two biology courses and one English course, versus taking two of English and one of biology.

The mathematics requirements for my degree in mathematics were no different.

I would go farther than this.

At most institutions I have been involved with in some capacity (I am now a math professor), there has not been any distinction.

But furthermore, the requirements for a degree are often pretty minimal, often something like "3 semesters of calculus, differential equations, and at least 8 courses numbered XXX". There are usually a bunch of relatively easy classes, even among those numbered XXX -- a lot of these are intended for future high school teachers -- but there will also be some very serious ones.

In other words, the requirements for a degree are not a terribly useful yardstick (and when we evaluate grad applications we expect people to have gone beyond the minimum, even at my not-terribly-prestigious university). I recommend talking to a professor if at all possible, face to face, who has some research interests in common with your background and interests, and can suggest a course of study suitable for you in particular.

Good luck! I'm biased, but if you ask me the subject is worth it :)

I did this but with a CS degree from an Ivy-League university. I already had two years of credit under my belt when I went back to school and it took me four years of study half-time and all three semesters (Fall/Spring/Summer) during the year to finish. Best thing I ever did.

Let me give you some advice:

1. Start slow. Take one class to start with. Get used to the pace of lecture/study and getting your assignments done. It's very hard to work full time and also study. You will need uninterrupted space and time to get your work done.

2. If you're taking online classes, you MUST be sure that your teaching fellow/assistant and professor are willing to communicate via email or instant message. If you can attend office hours DO IT. It helps for a professor to see you as a serious student and not as a faceless email address. GO EARLY in the semester to office hours and make it a regular thing. THIS PAYS DIVIDENDS AT GRADING TIME.

3. Make sure your school is a "real" school. Don't go to one of those for-profit schools. Make sure that your school is regionally accredited by the REAL accrediting agencies, not the fake ones that are set up by the for-profit schools.

4. Connect with another student (or students) and work with them. Just like for startups, it helps to be "in it" with someone else.

Good luck.

P.S. One of the guys I helped get through my program was a father of five kids (and one of the way) and he took two flights each way one day a week for a year to attend class. After 3 years he finished. He also held down a full-time job while he did this. It's do-able. You just have to commit yourself to doing it.

EDIT: more advice.

This is great advice, thanks! Discerning the fake accreditation from the real is somewhat difficult. I had done some searching though and this school seems to be accredited by the same place that accredits dartmouth so I think it's legit. How can I figure out if the accreditation is worth it's salt?

Thank you again!

This guide: http://www.amazon.com/Bears-Earning-Degrees-Distance-Learnin...

goes a long way towards helping you figure out whats legit and what's not.

Generally speaking though, you want a program that's "regionally" accredited. Here's a link:

http://en.wikipedia.org/wiki/Regional_accreditation

Just an FYI: I've heard that some schools that were non-profit and independent have been purchased by for-profit entities mainly for their accreditation. Caveat emptor.

FWIW, most "pure" degrees from liberal-arts or engineering schools are probably OK. If your candidate school has a sports program, it's probably OK. Go visit the university. Meet the administrative officials and check out the student body. See if they have a library. There are lots of "tells" that will alert you to the possibility that your program is more about collecting money than offering a valuable educational experience.

Just do your checking beforehand. You dont want to find out halfway through that your degree isn't worth the time or money. Dont forget that all programs within a school aren't created equally. I spent six months doing due diligence on my program and the school is VERY well known.

Thanks! Bought it. Also looks like it it is regionally accredited but I'm not sure about my specific program though. That's something I'll check out tomorrow.

You may want to check out this blog written by Scott Young who is pursuing an MIT computer science degree on his own, all from their online classes.

http://www.scotthyoung.com/blog/2012/07/04/the-diy-degree/

I would caution against this approach. First, he is aiming to pass all the course requirements for a CS degree from MIT in only 1 year (including the non-CS requirements). His definition of passing is getting a passing grade on the final if the grade distribution is known, and a 50% or more if it's not known. No projects, no problem sets, nothing else.

Now, I'm sure he's a smart guy, but I would be surprised if he retains the material long after he takes the final. I highly doubt you can deeply internalize, say the upper level algorithms course in a few weeks (I've taken it) without doing the (difficult) problem sets, or taking the infamous take-home midterm that often has open problems in disguise.

It's difficult to see this as an attempt at truly learning the material he claims to be learning.

He had me right up until he revealed (at the very end) that the whole thing is about getting a degree from a completely unknown mail-order University. Brand matters in higher education. UConn degree > what he got. He does a very good job of selling himself and his degree so he may be able to overcome it, but it's self-delusion if he actually thinks he's better off with the degree he has. If he applied those same salesmanship skills to the UConn degree and making himself stand out with that, he'd be better off than he is now - speaking strictly in terms of academic pedigree and how he is perceived by potential employers.

I'm not sure how you attribute "unknown mail-order University" to Excelsior. I'm willing to guess that a fair number of HR managers and several million U.S. service members(and obviously their families as well) and veterans might know very well the name of this institution. Look up Regents College if you're interested to know the history.

Yes that bit was anticlimactic. Its still useful info though.

Simplest advice: Structure your schedule so that you can devote one semester each to the proof-based courses: Abstract/Modern Algebra and Real Analysis.

My Story:

I earned a BS in mathematics (and BA in Philosophy/History) as a working adult (late twenties – early thirties, tech support and later developer) with a 1.5 hour commute between work and school.

I didn't have any significant difficulty until Real Analysis. That's usually the "weed-out" course for math majors and for which absolutely none of my programming experience prepared me[1]. I ended up switching to Philosophy/History for a while but luckily got the confidence to try Real Analysis again before completely giving up on the math degree.

I think anyone with an aptitude for programming will be fine in the math courses that are science and engineering-oriented. However, real math is about reading and doing proofs; if you have not done much of that I would try to arrange the schedule so that you end up studying stuff like Real Analysis and Abstract/Modern Algebra exclusively in a semester.

[1] In fact, my programming experience probably hurt me because I was overly focused on the “fine logic” aspect of proof writing rather than trying to understand the big picture.

I'm starting part-time study for a joint honors degree in philosophy/math at the university where I work as a full-time web dev this September, ten days before my 30th birthday. I'm glad to hear that other people have been there, done that, and got through it.

Neat.

You and I will have a very similar story. The only difference is that I started working as a full-time web developer at my university after I was already taking classes here... I got the job a couple of weeks after my 30th birthday.

Thanks for the tip! I will take that to heart.

Although the popular trend is against a formal higher education I would strongly advice you to pursue your decision/wish to get a degree. Yes, perhaps you could obtain the same level of knowledge and understanding throug the studies of your own, but I found that getting formal education gives a lot more - not only you learn the subject, but you also get to understand the methods of obtaining the knowledge. And this experience, at least for me, was far more important. Can you do this on your own? Perhaps, but I doubt it.

> you also get to understand the methods of obtaining the knowledge

I don't understand what you mean by this at all.

Learning how to learn is far more important than knowing something.

That's why maths/physics PhDs are more valuable in industry than BSc's in the exact detailed topic.

Is this reflected in earnings and unemployment rates?

I don't have any feedback on online programs or working while getting a degree, but I do have some thoughts on pursuing a math degree with your goals in mind:

1. Although there is a lot of math in computer science, a typical math curriculum will take you well outside of what might be applicable to your goals in computer science. This might not be important to you, but it's something you should keep in mind as you think about why you want this degree.

2. I looked at the curriculum you linked, and, with your goals in mind, it actually looks pretty reasonable in terms of rigor and relevance. Based on your goals, regression analysis will be a critical subject. But, and I don't want to paint this in too negative a color, most undergrad curriculums I know go further that this program does.

3. Unless your heart's already set on this program, or there are other considerations besides what you've listed, I'd actually suggest looking at other programs first. If what you want is a math degree, than this might be a good fit. But if what you want is a degree that will be most helpful in statistics/data analysis and machine learning (which you listed as important to you) I'd suggest looking at either an Applied Math program or a CS degree. I don't know your background, but there are Masters programs in CS that don't require an undergrad degree. You would still need the equivalent working knowledge of a BS in CS, though.

I have the same question about computer science.

The fact is, without the degree you cannot seem to get into a job that you like, which is about programming. I have learned unfortunately that this is true within a company I work - and I am sure the prejudices will be a lot more if I apply outside.

To elaborate, I have an advanced degree in statistics, but none in comp science. What I have is though interest, and I know I am better than the lot who typically apply for such jobs. I approached this programming oriented team, and the senior leadership were thoroughly impressed - some people in that team (at senior position than mine) actually agreed that they cannot do what many things that I have already done and showcased.

Then I did an 'evaluation' project with them, again in a month I created something that was beyond what they would expect from their own. In the end when I was told that they cannot hire me now because of some leadership decisions - as the current objective is to procure 'x%' of people with com-science degree in the team and that leaves no room for my background.

Though I doubt if I will approach that particular team again (this move frankly speaks of their guts - and I am utterly doubtful of how they can defend me in the future too if I join), I think hiring PhD's may be the norm in the industry - e.g. in other farms like Google too.

I am happy in what I am doing, but I don't like doors being closed to me just because of the background - and there is a chance that I will be happier in a programming oriented job. So, even though as of now it is a far away thought, is there a way for me to get a PhD while working in my field?

Interestingly I actually have the Opposite "problem." I don't need the degree. Somehow I've managed to become a good engineer making great money. That's why I could never commit before. I made it such an economic choice. Now I'm letting it be an emotional/intellectual one and it's become obvious I need to go back.

It sounds like you're on track though. Keep at making personal projects and applying for any programmIng job you think you might enjoy eventually you'll find he intersection of the right portfolio and right opportunity. Good luck!

Let me tell you my story:

I got two years of college under mt belt and had to leave school for many reasons. Went to another university a year later to try and finish and got caught up in the building Internet boom/bust. The experience I gained was VERY valuable and it was definitely the right decision to leave school to pursue my career, but I had the nagging sense that I was missing out on some jobs because I didn't have that degree.

So I found a company that would help me pay for part of my education via tuition assistance and had relatively regular hours and went to it. When I finished the degree, I changed jobs and got a 60% pay raise.

Mind you, I already had a six-figure income BEFORE the degree.

Since then, I've changed jobs twice and each job has been more rewarding and better paying that the last. I definitely feel like my program (which was from a well-known school) helps to open doors. I feel like the degree added a multiplier to my efforts that helps me to earn credibility and break through barriers.

Like it or not, the lack of that degree will subject you to prejudice you wont be fully aware of until you're freed from it. You can certainly be successful without the degree, but having it makes enough of a difference that I'd be hard pressed to recommend someone go without it unless they were clearly an exceptional individual with a clear goal for what they wanted to do in their lives.

I don't really like that that's true but I've noticed that prejudice even in myself. Thanks for sharing this. It's one more reason to hold onto.

Either you are being far too polite re: the sheer bureaucratic incompetence of your former employer - really, a percentage quota? Are people really that stupid? - or something else is wrong - not necessarily with you, of course - and they used your degree as a convenient excuse. Because it's not smart to fire a stats major who can evidently program just because they never majored in CS.

Keep looking.

Now, knowing a few bits of CS might be handy, or fun. But you can self-study. If that's not good enough for an employer, find a better employer.

You're merely in the wrong company. It can be hard to find the "first" job but once you've demonstrated experience, most places find a math degree equivalent to a CS degree. Open source is one way -- find a project in the area you want to move in, and start becoming active on the mailing list and contributing patches.

That said, have you considered a Master's degree instead? I know quite a few people who did those in their spare time but I know of no one who has completed a Ph.D without being involved full time. The Ph.D is more important if you are interested in doing research in computer science, not if you want to be a programmer.

i just want to add to the chorus that you were unlucky. i have a degree in physics and a phd in astronomy. no formal education in cs (apart from a class in fortran on an ibm mainframe back in the day). it hasn't mattered at all - in fact, i can get better (more interesting, higher paid) jobs.

and to be honest, with "outsourcing" i think "an X that can program" is going to become even more valuable than "ordinary" programmers, not less.

it sounds like you've been very unlucky.

(i have put a lot of time and effort into making sure that i know the computer science - and the practical parts - too. but it sounds like you understand that.))

Anywhere that would hire CS degrees over a maths advanced degree is not somewhere that you want to work.

Mostly because next year they are going to outsource it all to a cheaper 3rd would country as soon as some "management-science" consultant claims that it's cheaper

I had a pretty intense full-time job (managing an academic library's digital services) and going to school part-time to earn my BS in CS. It was incredibly difficult to manage my time.

Every semester I would work 9-5, take classes from 6-10, go home, fall asleep, rinse and repeat. I had no time to study, but when I did, I often did other things because I had no energy or motivation. I did this for four years (and I already had 2 years of college prior to this!). It was exhausting.

My only suggestion would be to take a light workload and aim to master the subject. I breezed through most of my classes because I already knew the material. For tougher subjects (e.g. statistics, compilers) I struggled. The material wasn't that hard, but because I didn't take it too seriously at the start (when it was easy) I fell behind due to weak understanding of core concepts. Never fall into that trap. Commit to studying consistently, seriously, and keeping at pace with the class.

I only did this because I wanted a degree. I think it's a piece of trash, but I wanted a little bit of security in life (I was in my early 20s and just getting started). Since you want to learn for learning's sake, commit to that. Don't try and cut corners.

A degree in mathematics requires a very large amount of effort and discipline, especially given your other obligations. Is this effort best spent on a mathematics degree, or maybe you could spend this effort differently and get what you want faster?

While point a) is a good reason to get a mathematics degree, points b) and c) are not. For point b), machine learning and statistics are much more appropriate than mathematics, and for point c), it is worth knowing that machine learning requires a fairly small subset of the mathematics you'd learn in a math degree. For example, a math degree covers many areas of mathematics (such as a heavy focus on proofs, abstract algebra, complex analysis and topology) that have no bearing on statistics and on practical machine learning. Conversely, a math degree also does not focus on statistics and probability, which are essential for data analysis.

Thus were I in your shoes, I would only study the math that is necessary to understand statistics and machine learning, and would start taking a machine learning course. The only math you need is multivariate calculus, linear algebra, and probability.

My background: Double major in Mathematics and Statistics. I am currently studying for a masters in Industrial Engineering BECAUSE my math/stats degree could not secure me a job after looking for 1.5 years. People don't see the value in math and you can't make them. That's why I am going to trick them by getting a degree with "engineer" in the title and maybe I can finally make it past the HR robot resume scanners.

1.The course content looks ok. There is always some sort of crap class that the department "thinks" you should take. For you it is Mat 380 Error-correction Codes. Out of the classes you get to pick, you should absolutely consider "QSO 320-Intro to Management Science". Mathematics departments (I have been through about 4 different ones) do a terrible job of application. None of your classes except QSO 320 will have day to day usefulness.

2.If you have not paid for this degree yet I would encourage you to look up programs for the following departments. Management Science, Operations Research, Operations Management, Business Intelligence, Data Science. They usually have just enough theory to carry you but focus on problem solving methods and decision making.

3.If your future goal is to go on to a masters then to some sort of research based work, then a math degree is a great jumping point. When ever I have come into a practical application course, I crush the theory and have an advantage in the ease of absorbing the knowledge. If you are not really sure about research/MS/PHd I strongly advise against this plan. You will be disappointed in how little people understand the how to leverage math skills.

In general, school is where you pay money for the privilege of doing homework and writing tests subject to the human faults of a non-perfect professor. I would advise you to look at the course syllabi for the following Coursera classes. So much good content coming from there. At least you will be more knowledgeable of the breadth in these subjects. - https://www.coursera.org/category/cs-ai - https://www.coursera.org/category/stats - https://www.coursera.org/category/cs-theory - https://www.coursera.org/course/operations

The funny thing about that list is none of them are from the mathematics category. Math is pervasive but struggles to compete without context. Take courses with context, unless you really want to pursue an academic career.

> 1. [...] There is always some sort of crap class that the department "thinks" you should take. For you it is Mat 380 Error-correction Codes.

Error correcting codes are fun! Taking a class on coding theory gave me some insight on compression, cryptography, and reliable data storage/transmission.

I'm actually very excited about the intro to management science class so I'm glad to hear you resonated with it too. Yeah I plan to go onto my Masters. Part of this degree I see as improving my mathematical vocabulary if you will.

I have a Ph.D. in engineering, which entailed a great deal of math. I do a lot of machine learning now. I think you'll find that proofs are the great divide between "real" math, and the more applied stuff you use in ML or CS. I suppose it is kind of obvious, but the math that isn't "applied" will have very little application in any other aspects of your life.

I do get a little queasy about the for-profit schools like SNHU. It is convenient, but I'm not so sure that the quality will be that good. Your peers in these classes are probably not going to be like HN. Are there any regular non-profit schools near you that might offer online classes as well?

If I were paying for online classes out of my pocket, I'd look at something like the Stanford Center for Professional Development.

http://scpd.stanford.edu/public/category/courseCategoryCerti...

They have some interesting Data Mining and ML related stuff.

Interestingly SNHU is a non-profit from what I've read though I'll admit I don't know what the real difference between that for profit is... People are still making money y'know?

Where did you see them labelled as a for profit? Or are you referring to them being a private university?

My previous job morphed from being something quite interesting, to a company running a jobs website that sold education leads. Before I left, I ran the traffic to a website selling education leads. It was many of the big online players. You should be aware that many of these schools had a pretty shady business model. Their students would get student loans, fail to finish their degrees, and default on their loans. That was Ok from the schools point of view, because for a year or two the schools were charging fairly high tuition rates. They were essentially programs for transferring money from the federal government (in the form of loans) to the schools. These are the so-called "for profit" schools. It is not their "for profit"-ness that was the problem, if you will, but the way they treated their students. The government is starting to really crack down on these abusive practices (bad for both students and the government). Many of the students were of a fairly low income background, who had never been to college. There are a number of news documentaries about this, under the "for-profit" label. It seemed from me, on the outside, that most of these students would have been better served taking classes for much less at a local community college.

I am only aware of SNHU in the sense that they were buying leads in the same space as the for-profit companies. You are right that technically they seem to be a traditional non-profit college, that has started an online program. However, that online program seems to be the tail wagging the dog in this case.....

http://www.fastcompany.com/most-innovative-companies/2012/so...

I am not saying that they are bad - I certainly don't know that. But before I signed up, I would spend a few evening Googling their specific reputation. I would worry that this school is simply trying to hide the same "for profit" motives in a non-profit cover. I know there are other players that are doing this exact thing, by taking over a small traditional school. In particular, find out what their graduation and retention rates are for their online students. What educational backgrounds do the students have? Is their program going to be of a quality that you'll be happy with?

There are a lot of very shady schools in this space. Make dead sure that you're not getting into something you'll regret. I guess, in short, Caveat emptor, there are lot of bad online degree programs.

Feel free to contact me directly (email in profile) if you have any other questions.

I have an MS in Applied Math and work in machine learning (for the past 3 years). The only real advice I can give is I am not sure how much a BS will help (it certainly wont hurt) you with getting a job in machine learning. I ended up here but I spent my entire MS studying wavelets and signal processing. I did take a few courses in machine learning, but nothing super crazy.

I think if were in your position, I would spend six months taking free courses, writing some open source projects, making some cool visualizations with d3.js, and then leveraging that to try to get a job (or transition into a job). If I was hiring someone for a position in ML at my company, I would be more interested in seeing that type of stuff than asking questions like "How does an SVM work" or "Where did you get your BS in Math from?".

With that said, if you can afford the classes, have time to put in (a lot of time to really understand math), and you have always wanted to get a degree, go for it, and dont let anyone here stop you.

I think if I were only worried about a job I wouldn't go at all as I recently moved onto the Business Intelligence team at work because of how passionate and excited I am about the subject. I want more than I job, I want to deeply understand what I'm doing and excel at it. I'm going less for the short path (that I took in programming) and more for the most enriching.

Thanks for your feedback! I really appreciate it.

Nothing hurts more than regret. If you are serious about this, go for it. to test yourself, grab a Calculus book - I recommend Stewart's Calculus - and challenge yourself to work though it at a reasonable, but predetermined pace (say 1 chapter per week).

How will you pay for it? Furthermore, how long will it take this (for now) theoretical career in ML which will require an MS to pay off the money you sunk into your degree?

Can you afford it mentally? How much time and effort can you afford to siphon away from your work to excel at your math studies? You can't go full-bore on both.

While some on HN I'm sure have been working software engineers AND pursued a bachelor's degree AND received it in only 4 years (or less, even), the truth is that it is very, very difficult. There will be a lot of misery, and a lot of time & money spent on something that, for now, is over a decade away.

I have successful career as a software engineer already so I'll be paying out of pocket. Time wise I've been discussin this with a friend who is in college in his thirties and I will probably follow in his footsteps and stop my personal programming projects while I attend.

Also since my current role at work is in the same vein what I learn will directly and immediately apply to work do that help lessen the impact at work. Even so it will be tough. Very much so you're right.

I've found classes in graph theory, linear algebra, probability, and statistics to be the most useful for me. Probability and statistics have much more practical applications outside the classroom.

I received a minor in math, and it's been more practical than my major (information systems). It helps you frame and understand the world differently.

Classes get much tougher once you start doing math with letters instead of numbers (usually linear algebra and up), because things transition from computation to understanding the properties of numbers.

Hi there. No advice, I'm in a similar situation (i.e. a software engineer who wants to get a degree).

I have a degree in CS, but by 30 (26 now) I want to be enrolled in a physics degree, followed by something in the vicinity of aerospace engineering/robotics.

This is not because I think it will be useful for work, just because they're subjects I'm interested in and I wish I had time to be on the cutting edge of these fields. I aim to support myself + my family through some sort of SaaS product(s), so working hard on that at the moment.

Either way, best of luck!

I'm working on my undergrad degree while working. it really sucks. be prepared for 4-6 years of having no friends and never sleeping. you will probably burn out in 2 years but stick with it.

I also work remotely and this helps but only a little. take your current schedule and subtract 25 hours a week from it. you won't be left with much, especially if you have a family.

third year of my cs degree (which is basically a math degree for the first two years) and only one thing comes to my mind seeing ~12 ppl i knew that drop out from their math degree:

If you study for a math degree you will probably be a mathematician.

let that sink in for a while because shockingly people discover that later on.

Haha that's a great point I hadn't considered. Luckily I'm good with that. I don't want to be "just a programmer" I want to have real skills that my programmIng ability can augment. That's my mental model for a recipe for success. Also coincidentally I'm drawn to study actuarial sciences if not for the huge regulation and the boring environment.

Thanks!

First hand experience. Almost identical background, self-taught teenager started working professionally at 18 with very little formal training. 33 years old now and almost completed a part-time math degree. (2-1/2 years to go)

Advice: don't just pursue the math that you think will directly benefit your software career.

I went into my part-time math degree thinking that because I was a self taught programmer the limiting factor in my career was lack of exposure to higher maths.

I ended up discovering that the math I enjoyed the most was the more theoretical stuff in analysis, topology, category theory, abstract algebra, etc. The applied math came easier, and I probably could have self-taught most of it, but the challenging pure math subjects have been most rewarding.

Thanks for sharing. Mind if I ask where you're getting the degree from?

Mount Allison University (Canada)

Is this going to be your first undergraduate degree or do you already hold a bachelors? Just in case you have something to built on - there are a bunch of top notch Universities offering Masters in Applied Mathematics via Distance:

Columbia University: http://www.cvn.columbia.edu/app_math_MS.php

Penn State: http://www.worldcampus.psu.edu/degrees-and-certificates/appl...

University of Washington: http://www.amathonline.uw.edu/

Yes! This is where I want to get to. I don't currently have any degree.

I worked in IT into my late 30's before going to school for some of the reasons you list. I got so much out of it. When you go back, you know which courses will directly help you, and you will probably learn many new things about where your strengths and weaknesses are. This is how your situation is different from many who enter college directly from high school who may not know what they want to do. Self learning on the job got me where I was, but the education got me further. Plus it really helped how I study and learn, so even the softer skills I learned prove beneficial today. Good Luck!

What makes you know that that's the right degree for you?

When you say "math degree", I don't think of something that applies to machine learning all that much! :)

Math is a huge field, and undegrad math covers a big swath of it. Have you taken a stats course yet? I would consider just taking a stats course first, and then maybe asking anybody you meet with similar interests in data logging/analysis what the relevant courses are to take.

That said, looking over the summary on that page, it does seem more "applied" than most math degrees, which is probably what you want.

Yeah the program has some courses that seem directly applicable to my goals. Also, I have taken an online free course in statistics and probability from Carnegie Mellon and loved it.

I'm pretty excited by the school. It seems exactly what I want in a BA and seems well accredited as well which can be hard to find in an online program.

Thanks for your input!

I'm a programmer who never studied or CS or even took college level math. I'd like to do something like this too, though I don't want or need a degree. I'd just like to have a deeper understanding of algorithms and how they are used in things like graphics, animation, statistics, data visualization etc. I'd like to audit some classes at the local university but am not sure where I should start. Intro to statistics? College level calculus?

https://www.coursera.org or my own personal favorite http://www.udacity.com/

But you have to do the work, all the problem sets, and the exam - just having the youtube video open in a window isn't enough

> When giving people advice around data I would like to train myself around many of the biases we are all so prone to.

A math degree is not the best way to go about this. (I just got one myself.) It will teach you to think clearly about groups, graphs, metric spaces and all that, but it won't teach you to think clearly in real life. That's something you'll need to learn elsewhere; although it might be true that a math degree will help you to learn.

I (dis)agree with you. One thing that a math degree will learn you very, very well is the spotting of gaps in logic. That is very applicable in e.g. software engineering/programming. For example, it will make you spot missing cases in long if/else if/else chains, both in code and in requirements. In the latter case, the risk is that you will get distracted by minor holes that do not really matter at the scope, and that other people may see as "not worth discussing now, as it distracts from the main course.".

Also, reading http://www.snhu.edu/mathematics-BA-online.asp, my main thought was "do they call THAT a math degree?" At the very least, I would put a sticker "applied" on that. That is a judgment, but not one that judges one item as better than the other. For your ambition in machine learning, it will probably be tons more useful than what I (and from his reply, I guess philh) think about when hearing the term.

For an impression of the difference: With a MS in (abstract) mathematics, you will be able to prove properties of some algorithm or formula from some preconditions, and you may be able to generalize them to some highly abstract terminology (for an example, see http://en.wikipedia.org/wiki/Measure_(mathematics), which grew about mathematicians thinking deeply about what the concept 'area' means) but you need not get any experience in recognizing those preconditions. As an applied mathematician, it is more important to have a good intuition on when an approach works then to have a good understanding on whether/why it works in esoteric cases (infinite dimensions, with less than two inputs, etc)

Could be worth investigating some of the free online courses that MIT and other Big Universities run.. also experience a taster of studying before getting into a longer term course

I've been looking at Masters courses online recently, but for 9k and very little added monetary gain, i've decided it might be more rewarding to run a side project/business

Forget about "Mathematics" and study "Statistics", man. You will never need the Maths stuff for your job.

And notice I am an Algebraic Geometer, not a funny CS. http://pfortuny.net

Enjoy the knowledge but do not strive for what you do not need unless you do it just for fun (which does NOT look so to me).

Sorry to ask in an existing topic but im looking for a online math degree also in the UK.

Can anyone provide institutions apart from the open university which offer this?

Don't you need a degree to self call "software engineer"? I'm outside US. Serious question here, just to know what North Americans consider SE.

Meh. If only there were some standard around it :-/

like this? http://www.bls.gov/soc/2010/soc150000.htm#15-1100

Am I crazy or is software engineer not listed? I guess using that at all goes against your "standard"? Hmm.

Why math and not computer science?

.02 from someone who does data analysis / ML and has an undergrad in math:

A math undergrad is a nearly total waste of time. If you want to do data analysis, learn to do data analysis. Real analysis and proofs and abstract algebra and diffeq are fascinating yet utter wastes of time.

If you want to learn useful stuff, take: applied calc, applied linear algebra, applied probability, applied stats, applied ML. And nothing else. All the skills you build proving stuff are, at best, tangential. And you don't need a bit of it to do things like derive gibbs samplers or EM samplers.

If you can take an activity such as someone interacting with ads, model that as a graphical model, derive a gibbs sampler and implement it, you'll be worlds ahead of even most grad students. Focus on getting there and it should be great for your career. But a math degree is just a shiny distraction.

Oh, and one more thing: if you want to work in a particular area, then a degree in that area may be useful. Eg bio, genetics, chemistry, fluids, optics, etc.

edit2: Please don't think I'm arguing against you getting a math degree. If you want one, get one. Just understand it's probably at least 80% intellectual masturbation instead of job skills. For example, as far as I can see in production machine learning, there is virtually no integration. Oh there are integrals all over the place but none of them are feasible and they'll all have to be numerically evaluated or worked around. So all those integration skills people spend endless hours learning are basically useless because the real world has virtually zero nice integrals. So understanding how to manipulate integrals and how to numerically evaluate them is very valuable, but not well covered in virtually all calc classes.

edit3: consider looking at the community colleges in your state. They often are stupid cheap and offer online courses.

Regarding your opening line: leave it to a mathematician to forgo units. I assume you meant $0.02.

:)

- a sarcastic engineer.

As a physicist this always annoyed me about about maths lectures.

You spend half of your physics degree learning certain classes of integrals when in practice everyone you really need to solve is done numerically. Yet you get half a class on numerical methods it you're lucky

I can't offer any specific advice about the place but I can say - go for it.

Apart from the personal satisfaction of being a mathematician you go straight to the top of my interview list. Anyone with the dedication and commitment to do a maths degree on their own is the sort of person I want to talk to

My (admittedly personal and biased) guide is maths/physics and pref. advanced degrees first.

Followed by CS degrees from really top notch schools and then I ask why, if they are so smart they didn't do maths/physics at MIT? Acceptable answer is a complete overarching love of computer science.

Followed by no formal qualification devs - with some evidence that they have read/learned more than simply the SDK they were using.

And last on the list are CS grads from some no-name, anyone can get in, CS school. People who did a CS degree because their school counselor said it would get them a well paid job.

And here I'm a no-formal-qualification dev with many years of experience, now considering getting a CS degree from a no-name anyone-can-get-in school just because it's a prerequisite to being allowed into the US on an H1B or TN visa (because, as HN discussed yesterday[1], Canada has no tech scene.) You'd skip over me, no?

[1] http://news.ycombinator.com/item?id=4275634

There are no absolute statements.

I was just highlighting that while many bad jobs insist on a CS degree, many good ones treat a CS degree with some suspicion.

See also http://www.joelonsoftware.com/articles/ThePerilsofJavaSchool...

"There are no absolute statements."

This is exactly the kind of trap that will send a mathematician off on a few minute or years long tangent.

I know it contributes little; given the context i couldn't resist.

It was intended as a Godel-joke !

No love for engineering grads?

well perhaps, and even chemists ;-)