"MBA Math was the cornerstone of my independent preparations for a number of
reasons. For me, I found it to be the best way to become familiar with
unfamiliar terminology early on, the best introduction to the process of
solving problems in Excel, and perhaps most importantly, a painless and
efficient way to learn the essentials.
It was definitely a lot more effective than the books I bought over the summer
but never quite got around to reading, and the reason is that MBA Math is
structured in a way that makes it easy and effective to learn independently."
 Peter P., HBS '08
More Testimonials


How Does MBA Math Get You MBAReady?
Here are the main incredients of the MBA Math approach:
Strike a Balance Between "Too Little" and "Too Much"
The biggest challenge in designing and delivering the MBA Math course is to
include the right topics at the appropriate level of detail. Too little and you
get a false sense of security. Too much and you get bogged down, faced with the
online equivalent of a bulging 1000page textbook.
The MBA Math "Just Enough" Active ProblemSolving Approach
The MBA Math course, refined over more than ten years of teaching a 35hour
math camp to incoming firstyear MBA students the week before Orientation,
strikes that balance.

Exercise Driven:
You encounter a range of exercises drawn from firstyear MBA quantitative
courses.

Minimal Theory:
You review problemsolving approaches and techniques with a minimum of theory.

Solve Problems:
You spend most of your time solving problems. Not reading. Not listening
passively. Wrestling with problems. Building spreadsheets. Computing answers.
Actively.
Focus on Getting it Right Eventually Rather than Getting it Right the
First Time
The MBA Math course covers 24 modular topics, each with its own quizzes and
learning materials.

PreQuiz:
You start with a prequiz on a particular topic to establish your starting
point. For some topics, your prequiz score may well be a big fat zero! There
is no reason that you would know about regression, for example, until you have
studied it.

Study:
Guided by your prequiz score, you then work through the teaching material and
exercises until you understand how to solve problems accurately.

PostQuiz:
You take a postquiz when you are ready. If you are not satisfied with your
postquiz score, you can continue your studying and then take another
postquiz. As many times as you need to attain the proficiency you desire.
You can browse the MBA Math topics below. For a clearer understanding of the
MBA Math learning experience,
click below to view the MBA Math
demo
in a separate window. When you are ready,
click the Purchase
Subscription button to get started.



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Course Summary (PDF format)
Excel
Spreadsheets
Basic Excel worksheet
techniques
are covered in one topic. Additional topicspecific techniques are used in
lessons covering the MBA topics below. Solutions illustrate basic functions
implementing algebraic formulas and also the
builtin
functions (e.g., FV, NPV,
VAR, STDEV, CORREL, RSQ, NORMDIST)
that you will use most often in your MBA experience.
Financial
Math
Familiarity with time value of money concepts, formulas, and spreadsheet
solution techniques should be considered a prerequisite for your MBA
experience. Because everything else in financial math is built on this
foundation of
shifting one cash payment at one time
to its equivalent at
another time, you should be clear about this before you start.
Annuities and perpetuities
are the simplest smooth patterns of cash flows over time.
Bonds
are a mixture of annuities and future values.
Net present value
allows you to convert an irregular set of cash flows back to the present to
compare one course of action with another. Such problems appear throughout the
MBA curriculum.

Time Value of Money

Annual Compounding

Present Value

Rate

Number of Periods

Future Value

SubAnnual Compounding

same as Annual plus:

Periods per Year

Annuities and Perpetuities

Bond Basics

Net Present Value
Accounting
Making sense of accounting requires a clear understanding of the three main
financial statements and how these statements represent standard business
transactions. The math is simple. The challenge lies in the logic, definitions,
and conventions. Using Intel's financial statements as an example, you learn
the basics about the
balance sheet, income statement, and statement of cash
flows.
After studying each financial statement separately, you then work on the
connections among the three statements
with a set of examples.
You use the
balance sheet equation and taccounts
to characterize standard business transactions in terms of offsetting
debits and credits
. Finally, you apply what you learned with taccounts to make appropriate
journal entries.

Balance Sheet

Assets

Liabilities

Equity

Balance Sheet Equation

Transactions

Income Statement

Revenues

Expenses

Cash vs. Depreciation

Statement of Cash Flows

Operating Activities

Investing Activities

Financing Activities

Cash vs. Depreciation

T Accounts and Balance Sheet Equation

Balances

Debits

Credits

Transactions

Journals

Journal Entry Template

Debits

Credits

Transactions
Microeconomics
Marginal analysis
addresses the question of how much to produce to maximize profit, given
specified costs and revenues. Problem statements and solutions involve either
tables or formulas. You learn to distinguish among marginal, total, and average
costs and revenues.
Supply and demand
are the classic economics concept. You learn to create and interpret the
classic linear "curves", compute the
equilibrium point
that maximizes profit and the corresponding
consumer
surplus. You examine market segmentation, and use demand curves as part
of marginal analysis.

Marginal Analysis

Tables

Formulas and Calculus

Supply and Demand
Statistics
and Probability
You start with
basic summary statistics, which form the
foundation. You then tackle statistics of linear combinations, which is a fancy
way of saying
stock
portfolios.
Tables and graphs summarize raw data. You need to know how to make them and
work with them.
Regression
allows you to draw a bestfit line through a set of data points. You can do it
visually or computationally. Both approaches are a snap using Excel.
The
standard normal "bell curve"
is the king of continuous distributions. You learn to work with continuous
distributions in terms of intervals rather than points. Excel makes solutions a
breeze but you may, depending on your MBA program, need to learn the ztable
approach and its corresponding pictographs and conversions.
Sampling and inference extend the normal distribution to the Central Limit
Theorem, confidence intervals, and hypothesis testing.

Basic Summary Statistics

Mean, Median, and Mode

Variance and Standard Deviation

Linear Combinations (e.g., Stock Portfolios)

Covariance and Correlation

Portfolio Statistics from Individual Stock Returns

Portfolio Statistics from Individual Stock Statistics

Discrete Probability Distributions

Linear Regression

Regression Line Equation

Prediction

Measure of Linearity

Continuous Distributions

Uniform

Standard Normal

Normal

Sampling (Central Limit Theorem)

Inference

Confidence Intervals

Hypothesis Testing

