Mastering Business Analytics: The real MBA for career success, Step-by-Step
Our primary focus is helping quants (engineers / hard-science majors) improve their business prospects. If you're interested in studying with us, you may reach us here.
Non-quants, may click here.
N.B. Our programs are free (to individuals) but are NOT degree conferring. We build your résumé through knowledge and achievement not gloss. Your interview-ability, however, will immediately soar. Attach a model or two to your résumé. Preload a portfolio of your in class-developed models on your laptop for your interview and rehearse a concise precis of each.
Suggestion: Learn with us, then matriculate in an MBA program and pursue, or not, the "wallpaper" at your leisure. Cite the prospective degree on your résumé with a plausible "date." That'll take care of the inevitable résumé OCR-scan hurdle. You'll "ace" both the degree coursework and the interview.
Our students learn in weeks, not years, the material typically entailed in MBA programs because:
Our curriculum is integrated around two fundamentals unique to our program:
Which leads us to where you, the student, come in.
You're analytically* highly skilled and very capable of abstract analytical thought. If you are willing to spend a few weeks thinking VERY hard, we have a straightforward approach to helping you build the career you want.
How so brief? All the learning pieces are pre-assembled for you. You don't have to pore over vast stacks of textbooks. You don't have to try to figure out how the bits 'n pieces from all the various subject areas fit. Most notably, you don't have to sort wheat from chaff; there is NO chaff. The sole requirement is to read and prepare the nightly mini-case (typically an hour) and to come to class ready to learn. That said, we urge you to participate in after-class, team-based sessions.
And, yes, it's as easy as that. Guaranteed.
It's both cheaper and easier for a firm to replace an "experienced," say, engineer, than it is to update/upgrade said engineer. Besides, kids fresh out of school are generally far cheaper, too. So, unless you're quite sure that your career's well and truly on-track, you might do well to start to actively manage it.
First: You need to learn to think and speak in business language. Second: You need to learn to apply analytics to business problems couched in business terms. Third: You need to learn to communicate effectively and easily with senior management. How's this alternative different from a typical MBA? Easy.
With your analytical skills augmented with a thorough grounding (isa-1) in the areas enumerated above, you'll run circles around typical MBA's. Significantly, your career prospects will improve dramatically. You'll no longer be just another engineer; you'll be an engineer who "gets it." (For you CS/IT-types, read: Geek who gets it.)
Sidebar: Most financial services firms, e.g., investment banks, require ALL of their new analyst MBA's to sit through (up to 9) months of accounting and accounting theory. Why? Well you might ask.
Accounting hasn't really been taught since the early 1970's. This has caused the corporate world to question whether there's any justification for paying a premium for new-hire MBA's who aren't fluent in the language of business, i.e., accounting. So, they don't. A notable investment guru's daughter entered an august MBA program last fall. At Thanksgiving, she bubbled over with the "good news" that she wouldn't have to take any accounting courses. Her dad was far from pleased. That from a "name" school.
You know the difference between the two, but you may be currently finding the latter more useful than the former. That's too bad. Business (all business) is nothing more than an n-space portfolio of assets waiting to be operationalized as a system of PDE's.
Costs, for instance, are most usefully contemplated as rates-of-change as are returns by product/line as functions of scale (read: volume). So, given a number of related rates in a system, mightn't it make sense to start thinking in terms of Euler-Lagrange?
BTW, we encourage you to avoid presenting math-heavy, "black-box" solutions by using more transparent alternatives.** Initially, you'll build your models entirely within Excel. That way, your chain of command won't feel too threatened; you NEVER want to make the boss look or feel (too) stupid.
Most students find that some of the underlying material seems familiar. However, integrating the pieces as we do, invariably proves insightfully novel. Within the first hour, you'll produce a model probing important issues in ways few businesses are able to explore.
Technical aside: Some of our current theoretical research, in both real-world consulting and within the academe, entails relativistic modeling of (broadly defined) business portfolios. In brief, tensor analysis. Only in our second financial engineering module is higher math (e.g., stochastic calculus) required. You can get a lot done with the straightforward mathematics of the non-quantum phyical world.
* Except for the Core (isa-1/2) which is quant-lite, we use mathematics whenever it provides the most direct learning modality. So, if you breezed through baby-calc but caught C's in multivariate and ODE's, the financial engineering and marketing engineering modules are probably NOT for you. If you already have an MBA and are willing to achieve reasonable analytical ability, however, we do have an alternative for you beyond the Core. (Here's a relatively painless D-I-Y cure for those with a mathematical deficiency.)
If you have an CS/IT background and can deal with linear algebra and multivariate calc, you're in great shape. If, as well, you program AND can do high-dimensionality database design (e.g., OLAP), you are absolutely "golden." Strongly consider the marketing engineering modules — huge market and nil competition. You'd need a strong (but non-rigorous) statistics grounding. If you can't take such a course locally, we offer an SPSS-based one. (Of course, it matters little what software you use, as the statistical concepts are common across all packages.)
** In our core modules, you'll be encouraged to think mathematically but to express yourself graphically. Unless you're very lucky, the people that you'll have to convince are (at least relatively) numerically-challenged. You MUST avoid making them feel stupid. (Okay, here's some quant-jock humor: In business, the locus of points of the third derivatives of position nest in high, corner offices.)
In the advanced (second) financial engineering module, you will find stochastic calculus and strong numeric methods to be big helps as would be the ability to program in C/C++ or Object Pascal. CS/IT-types benefit from a course in numerical methods-based computation. At this level, MATLAB replaces Excel, too.
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