So you plan to look for some type of job after you graduate. You have undoubtedly heard the hoary advice "it's not what you know but who you know". Nowadays, of course, there are economists busy assembling data sets and documenting the extent to which this is true. I suggest instead you assume this is true and ask what you can do about it. In any case I am confident this matters far more than what courses you take, so I'm going to devote a couple of paragraphs to the topic. If you don't like what I've written, you can find a few thousand books on the topic at Amazon.
Do you have any personal connection, through friends, relatives, friends of relatives, whoever, with anyone who works in your area of interest? Probably you don't even know. Most college students have to start by asking their friends and relatives if they know anyone with a relevant career. It's worth starting early, for any number of reasons. To begin with, while you're still in school, you can legitimately say, "I'm trying to figure out what I want to do." If you've already graduated that same sentence can sound like a euphemism for, "I need a job so I can move out of my parents' basement." It's also important to note that the process of looking for a job is probably going to involve short meetings with over 100 people, perhaps for lunch or coffee. This means you'll have to contact many more people, because not everyone will respond, or get back to you in a timely manner. You need to allow a lot of time for this process to work. In addition, this is emotionally trying, even for the MBA types who have 1000+ LinkedIn connections. You want to have something else to do, like schoolwork, while you're waiting for people to respond. The upshot of all this is that I suggest devoting time to finding people who work in your area of interest and forging connections.
Another way of forging these connections is to attend prepackaged events, like the Career Fair (typically in the first couple of weeks of each semester). In this kind of setting, you have implicit permission to talk to everyone. That's why they're there. Ideally, you find some type of intership. In this intership you connect with people who later tell you about job opportunities. Of course, you could find out in this hypothetical internship, or process of meeting people, that you really want to do something else. Great! This too is valuable information.
I know, I know, you really want to hear about what course you should be taking next semester. But before that, I want to tell you one more thing which is highly relevant to this process of meeting people and making connections. The School of Management offers regular information sessions on things like resume-writing, clothing choices for meetings and interviews, and business ettiquette. You can find out about these sessions via B-Line, and you don't need to be a student in the SOM to attend.
Ok, so what about the promised topic of, "what course should I take next semester?". Before we get there we have to figure out what you're going to be doing, so we can figure out what courses will prepare you for that. Why is this? As mentioned earlier, the bad news is that the BA in Mathematical or Actuarial Sciences is not adequate preparation for anything. The good news is that the short list of requirements gives you great freedom to prepare for almost anything else.
The general idea here is that you should figure out what you'll need to know in the job you plan to have 5 years from now, and learn that now. If you are in doubt, you can ask the people you've met (see previous paragraphs) who are already working in your chosen field. They should be able to give you a list of things to learn.
For almost any corporate job, I suggest becoming familiar with how to use a spreadsheet. (Microsoft Excel, OpenOffice Calc, it doesn't matter.) The most common form of quantiative communication in corporate America is "I will email you a spreadsheet." If you can't handle this, it's terribly limiting. The good news is that it's not hard to learn, and if you want structure and motivation, the SOM offers a course, CQS111, devoted mostly to working with spreadsheets.
While I'm on the topic of SOM courses, the current way for math majors to get into SOM courses, or courses in other schools generally, is to see the undergraduate committee chair (Marcin Mazur, as of this writing) and as him to email the SOM (or whatever other department) and reserve for you a spot in the class. You must do this the semester prior to the semester in which you want to take the course. (Yes, I know this is a clunky process.) Some courses are easy to get into, and don't require such arrangements. You can also register for courses in other schools and departments with bits of trickery. For example, you could sign up for the major in Financial Economics and then you would be eligible to take Accounting 211.
Ok, so you've already taken Math 330 or Math 447, and you know how to use a spreadsheet. What next? Your plan is to work in some field of inquiry in which mathematics or statistics is relevant. So you need to acquire the relevant mathematical knowledge, computing knowledge, and domain-specific knowledge. Thus, the exact classes recommended will depend on your chosen career direction.
However, I strongly recommend that you take at least one programming course. The natural place to start for most is the Python course, CS120. This is a kind of thinking that has a close relationship with the proof-writing of Math 330. In addition, almost any career in which you apply mathematical or statistical knowledge will require you work with large datasets, for which manual editing is impossibly time-consuming. A programming language is a way to start dealing with the practical problems faced by almost any statistician. (See here for a little about why.)