Curriculum & Courses
During the fall and spring semesters, Business Plus students take two communication courses and choose two quantitative courses from nearly 50 University offerings.
Communication Courses
Course Number
BUSI PS5004Course Number
BUSI PS5850Quantitative Courses
This course is a foundation course for learning software programming using the Java language. The course will introduce the student to programming concepts, programming techniques, and other software development fundamentals. Students will learn the concepts of Object Oriented programming using Java. The course will present an extensive coverage of the Java programming language including how to write, compile and run Java applications.
The purpose of this course is to learn programming concept and Object Oriented fundamentals using Java. Students will receive a solid understanding of the Java language syntax and semantics including Java program structure, data types, program control flow, defining classes and instantiating objects, information hiding and encapsulations, inheritance, exception handling, input/output data streams, memory management, Applets and Swing window components.
Course Number
BUSI PS4007Format
In PersonPoints
3In this course, students will be introduced to the fundamental financial issues of the modern corporation. Students will work on evaluating corporate performance based on a thorough analysis of financial statements, financial ratios, estimating the present and future values of a wide range of cash flows, and using these concepts as the basis for equity valuation, bond valuation and corporate valuation modeling.
By the end of this course, students will be able to:

Identify the types of financial management decisions and the role of financial manager

Understand the concepts of financial planning, managing growth, debt and equity sources of financing and valuation, as well as capital budgeting methods

Be able to execute a risk analysis, cost of capital, and the process of securities issuance
Course Number
BUSI PS5001Format
Online & In PersonPoints
3In this course, students will learn concepts that are critical to corporate finance, including: financial statement analysis; performance metrics; valuation of stocks and bonds; project and firm valuation; cost of capital; capital investment strategies and sources of capital, and firm growth strategies. Students will work as individuals and in groups to apply the tools of corporate finance to assigned cases. By the end of this course students will understand:

How to apply fundamental corporate finance tools to analysis of firms’ strategic financial decisions.

Evaluate the value impact of corporate decisions.

Explain the rationale for decisions related to mergers & acquisitions or other corporate transactions and allocations of capital.

Apply the Four Cornerstones of Corporate Finance in your evaluation of whether a firm has effectively created value.
Course Number
BUSI PS5003Format
Online & In PersonPoints
3Prerequisite
BUSI PS5001 Introduction to Finance/or Professor Approval is requiredIn this course, students will learn about financial derivative securities: their role in financial management is becoming increasingly important, especially in portfolio management. Students will work on assigned readings, class discussions and examinations .By the end of this course students will be able to:

Identify valuation of various options and futures as well as their use in risk management.

Understand option and futures pricing models, option strategies and index arbitraging.

Evaluate common hedging problems and build synthetic derivative positions
Course Number
BUSI PS5008Format
In PersonPoints
3Prerequisite
BUSI PS5001 Introduction to Finance and BUSI PS5003 Corporate Finance or professor approval.In this course, students will examine the generally accepted accounting principles (GAAP) underlying financial statements and their implementation in practice. The course is taught from the perspective of the stakeholders who make use of these statements, including investors, financial analysts, creditors, and management. Students will work as individuals and in groups for discussions and class exercises. By the end of the course, students will be able to:
 Construct a cash flow statement, balance sheet and decipher a 10K report
 Identify basic accounting concepts, assumptions, and principles.
 Utilize accounting tools such as general journals and general ledgers throughout the entire accounting cycle.
 Critically analyze ethical issues in accounting practices and discuss critical accounting theory and processes.
Course Number
BUSI PS5009Format
Online & In PersonPoints
3In this course, students will learn about the valuation of publicly traded equity securities through case study analyses, class discussion, independent exercises, reading assessments, group work, and weekly deliverables, culminating in a final investor pitch.
By the end of the semester students will be able to:

Perform fundamental analysis ("bottomsup," firmlevel, business and financial analysis)

Prepare pro forma financial statements, estimate free cash flows and apply valuation models.

Understand the importance of reasoned analysis and critical thinking when evaluating firms.
Course Number
BUSI PS5040Format
In PersonPoints
3Prerequisite
BUSI PS5001 Intro to Finance and BUSI PS5003 Corporate Finance or professor approval is requiredCourse Number
ECON BC1007Course Number
ECON BC3018Course Number
ECON BC3033Course Number
ECON BC3035Course Number
ECON UN3213Course Number
ECON UN3265Course Number
ECON GU4020Course Number
ECON GU4213Course Number
ECON GU4412Course Number
MATH GU4041Course Number
MATH UN1003Course Number
MATH UN1101Methods of integration, applications of the integral, Taylor's theorem, infinite series.
Course Number
MATH UN1102Format
In PersonPoints
3Prerequisite
MATH UN1101 or the equivalent.Section/Call Number
0001Vectors in dimensions 2 and 3, complex numbers and the complex exponential function with applications to differential equations, Cramer's rule, vectorvalued functions of one variable, scalarvalued functions of several variables, partial derivatives, gradients, surfaces, optimization, the method of Lagrange multipliers.
Course Number
MATH UN1201Format
In PersonPoints
3Prerequisite
MATH UN1101 or the equivalentSection/Call Number
00011Multiple integrals, Taylor's formula in several variables, line and surface integrals, calculus of vector fields, Fourier series.
Course Number
MATH UN1202Format
In PersonPoints
3Prerequisite
MATH UN1102 and MATH UN1201 or the equivalentSection/Call Number
0001Course Number
MATH UN1205Matrices, vector spaces, linear transformations, eigenvalues and eigenvectors, canonical forms, applications.
Course Number
MATH UN2010Format
In PersonPoints
3Prerequisite
MATH UN1201 or the equivalentSection/Call Number
001Special differential equations of order one. Linear differential equations with constant and variable coefficients. Systems of such equations. Transform and series solution techniques. Emphasis on applications.
Course Number
MATH UN2030Format
In PersonPoints
3Prerequisite
MATH UN1102 and MATH UN1201 or the equivalentSection/Call Number
001Course Number
MATH UN1003A friendly introduction to statistical concepts and reasoning with emphasis on developing statistical intuition rather than on mathematical rigor. Topics include design of experiments, descriptive statistics, correlation and regression, probability, chance variability, sampling, chance models, and tests of significance.
Course Number
STAT UN1001/STAT W1001Format
In PersonPoints
3Designed for students in fields that emphasize quantitative methods. Graphical and numerical summaries, probability, theory of sampling distributions, linear regression, analysis of variance, confidence intervals and hypothesis testing. Quantitative reasoning and data analysis. Practical experience with statistical software. Illustrations are taken from a variety of fields. Datacollection/analysis project with emphasis on study designs is part of the coursework requirement.
Course Number
STAT UN1101/STAT S1101/STAT W1111Format
In PersonPoints
3Designed for students who desire a strong grounding in statistical concepts with a greater degree of mathematical rigor than in STAT W1111. Random variables, probability distributions, pdf, cdf, mean, variance, correlation, conditional distribution, conditional mean and conditional variance, law of iterated expectations, normal, chisquare, F and t distributions, law of large numbers, central limit theorem, parameter estimation, unbiasedness, consistency, efficiency, hypothesis testing, pvalue, confidence intervals, maximum likelihood estimation.
Course Number
STAT UN1201/STAT W1201Format
In PersonPoints
3Introduction to Probability and Statistics
Course Number
STAT GU4001Format
In PersonProbability is the foundation on which statistics is built. The purposes of this course are 1) to introduce you to probability and 2) prepare you to take a sequel course on statistical inference (Statistics 4204,5204).
We shall begin by covering the basic axioms of probability and using these in some simple settings. Then we will take up the idea of independence and conditional probability. Following we shall consider random variables, and the properties first of univariate discrete and continuous distributions. When we look at two or more variables, additional considerations arise, such as the relationship between the variablesconditional distributions and marginal distributions. Following these basics, we will then take up some ways of summarizing distributions, e.g., expectations and variances and, in summarizing relationships among variables, covariance and correlation. We then take up some of the more important distributions in statistics. In particular, for the discrete case, we will study the Bernoulli and binomial distributions and the generalization to the multinomial distribution, also the Poisson distribution. For continuous distributions, we take up the univariate and bivariate normal, the Gamma and the Beta distribution. In statistical applications, sums of independent random variables (for example, a sample average is such a sum, divided by sample size) are extremely important and characterizing the properties of these in large samples justifies many of the ways in which we make inferences in statistics. Thus, we take up the properties of these sums in large samples, focusing on stating laws of large numbers and also a simple central limit theorem.
Course Number
STAT GU4203Format
In PersonPoints
3Prerequisite
This is a master's level class. A solid grounding in calculus (including multivariable calculus) and linear algebra is minimally presupposed; of course, more mathematics is even better. Potential students without such grounding will have too tough a time and should take preparatory mathematics classes and/or a more elementary statistics class.The aim of the course is to describe the two aspects of statistics {estimation and inference {in some details. The topics will include maximum likelihood estimation, Bayesian inference, confidence intervals, bootstrap methods, some nonparametric tests, statistical hypothesis testing, linear regression models, ANOVA, etc.
Course Number
STAT GU4204Format
In PersonPoints
3Prerequisite
GU4203 or GR5203 (Old #: W4105), and a good working knowledge of singlevariable calculus is necessary: differentiation, integration, infinite sums, Taylor expansions, limits.Linear Regression Models
Course Number
STAT GU4205Format
In PersonPoints
3Time Series Analysis
Course Number
STAT GU4221Format
In PersonPoints
3Applied Data Science
Course Number
STAT GU4243Format
In PersonPoints
3Courses and descriptions are subject to change.