@Kasa123 : There are jobs that use chemistry that hire undergraduates that do just decently (you technically have plenty of time to do well): https://www.merck.com/careers/life-at-merck/students-and-graduates.html
If you do something like computational chemistry, your job outlook expands further to include data science and CS related jobs. Your major need not match your future career and nor is useless if you are not pursing “x” or “y”. This idea that Emory students have is stupid and often limits their potential to be exposed to great areas they were originally clueless about. I did my MS in computational biophysical after getting a BS in biology and a strong BA in chemistry (I wish I would have engaged in CS or that QTM had existed when I was there, because it would have really helped as opposed to learning the CS principles from scratch). The most senior graduate student in that MS lab had a math minor and chemistry major as an undergraduate, and got a job in data science that pays him well enough to buy a house immediately. You never know where you’ll end up. You can major in whatever you want and dabble in tons of other things and even take internships in other things you have taken courses/developed a serious passion for. You DO NOT have to major in something that leads to very specific careers. Ultimately, when undergraduates are evaluated for first time jobs, they will mainly look for experience in terms of research and internships. You would be surprised how many well-paid jobs in things STEM related under-rate GPA and over-rate any type of experience.
Note that if you REALLY want to pick up some applicable math skills, you can begin to combine economics with the QTM route . This will teach you useful math and computing techniques, get you exposure to the networking they do and perhaps set you up to pursue a number of internships, whether they be social sciences related or natural/physical sciences related. Keep an open mind about career and internship options and realize that you need not pursue the most linear/predictable pathway to whatever, especially if you do not have much of an idea of what you want to do. The goal should be to GAIN SKILLS in several areas that can help you, and not just obtain a degree. One may assume the two are coupled, but often they are not because people pursue joke instruction and do not do much to engage their undergraduate majors, making them less competitive for anything post-graduate. I would say give the chemistry major maybe 2 more courses (and please choose good courses with at minimum good instructors, and a good students. Courses that focus on serious problem solving in chemistry. If the class does not grade problem sets or incorporate grading of things beyond exams, quizzes, and clicker q’s, it probably isn’t the one. I definitely recommend Emily Weinert’s Chem. 302 course, chemical biology as she requires a mini-grant proposal and teaches students biochemistry in an experimental context. This is useful whether or not you plan to go to graduate school because it teaches you to view learning and understanding chemistry in a different light. You also get exposure to many applications of biochemistry whether it be biofuels or traditional biology problems. She also has you write and present mini-grant proposal which allows you to take the reigns and learn what you want to develop it. It is very different than being at the mercy of what the instructor wants you to know all of the time. It isn’t easy, but neither is science. This way you will get a better appreciation of the problem solving aspect and how science is practiced and what applications chemistry has. Unfortunately you will first have to pass through biochemistry 1, chem 301 which is virtually in the dark ages in terms of how it is taught basically everywhere, and I sincerely apologize for this reality), but begin to build a background in CS, math, or data science.
Note that, realistically since you would need to take physical chemistry, you would be at an advantage if you took the math courses that align with math/econ. anyway. Alternatively, the QTM equivalents are just as good and add the element of programming (and econ. is a substantive area of economics). You can actually do a lot of SERIOUS dabbling without majoring in something. This is a freedom you have if you do not plan on going to health professional school. Do not feel like you have to major in x, y, or z to get to very specific places. Just ask yourself: “What can I do to legitimately build skills in areas of interest which may open opportunities in x, y, and z”. The classes, workshops, and internships likely exist at Emory. You can’t tell me for example, that there isn’t a lot of useful stuff in QTM:http://quantitative.emory.edu/for-undergraduate/courses/qss-courses.html to complement either a math based chemistry or a social sciences major. And the cool upper division courses do not even require some of the lower divisions, meaning that if you choose not to major, you just clear the key lower divisions and choose some electives that look really interesting to you. The cool thing I hear about QTM is that it is applicable to more than just theory and that many courses may actually give projects which lead to actual learning. You are not just going to sit their and soak of mathematical theory, and do some basic level problem sets. The p-sets and/or projects expose you to research and data science as it is used in a variety of fields. You get to use your knowledge to solve these problems over a decent amount of time as opposed to taking in facts or processes mainly to give them back on a high stakes exam. Jobs are project based after all.
@coolguy40: Math isn’t torture to everyone…just throwing that one out there. Some, in fact many people actually enjoy it or think it is a good a thing. Math is one of the fastest growing majors at Emory. Don’t refer to an affinity towards it as “torture”. It is all too stereotypical. Plus computer programming often can benefit from mathematical logic especially that seen in classes like linear algebra. To me, knowing some linear algebra makes a lot of programming problems make more sense. Plus being able to use CS to do mathematics is a big thing even today. You can theoretically decouple them, but you may be more useful if they are somewhat coupled (used for lots of mathematical modelling and data analysis methods such as machine learning and even less intensive statistical methods like Principal Component Analysis).
