Business Analytics Courses

The Master of Science in Business Analytics requires 33 units of courses for either the 10- or 16-month program.

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Core Courses

Core Master's in Business Analytics courses include:

BNAD 555 Introduction to Business Analytics

Introduction to the language and methods of business analytics.  Topics to include overview of business data structures; analytic methods in marketing, finance, human resources, supply chain/e-commerce and accounting; external versus internal data availability and value; simulation methods; optimization methods. Format will be 30 hours of in-person class time during orientation week.

2 units

BNAD 597A Introduction to Business Analytics

Deliver a business analytics-centric project to an actively engaged client applying the techniques and using the tools learned in the program.  Seek to provide insight and analysis beyond the obvious.

3 units

MIS 509 Business Communications

Techniques in written and oral presentation of business concepts with a focus on client interaction and significant use of data visualization techniques.

3 units

MIS 545 Data Mining for Business Intelligence

Introduction to machine learning and predictive modeling, classification, clustering and association rule mining.

3 units

MIS 561 Data Visualization

The goal of this class is to introduce students to principles and tools of data visualizations, and create visualizations using appropriate tools for two different but related purposes: (1) exploration and (2) presentation. The first part is about trying to understand the data and test hypotheses that drive the data visualization effort, and formulate a story; the second part is to convey that finding to others in a convincing manner.

3 units

MIS 586 Big Data Analytics

Techniques in acquiring data from internal and external sources including social media and text data; Hadoop/Apache distributed processing scalable for business applications; Introduction to network analysis and large scale data analytics.

3 units

MIS 587 Business Intelligence

This course focuses on structured and unstructured data storage and design, data acquisition and cleaning techniques, data warehousing, ETL and NoSQL databases such as MongoDB.

3 units

MKTG 552 Introduction to Statistics

Introduction to the basic concepts of probability, common distributions, statistical methods, and data analysis. The goal of course is to ensure that students understand basic principles of statistics and can select appropriate statistical tools and apply them correctly. Topics include descriptive statistics, sampling distributions, estimation, hypothesis testing, inferences on two populations, simple and multiple regression, and logistic regression.

3 units

MKTG 555A Regression Modeling for Analytics

Linear regressions; Multiple regressions; Heteroskedastic/Serially-correlated error terms; Autoregressive models; Binary dependent variables; Panel Data; and more.

2 units

MKTG 555B Experimentation for Data Analysis

Many issues in marketing, human resources and management, accounting, and economics can be answered only by designing studies. There is an increasing use of field and natural experiments, even in the most state-of-the-art big data organizations—Google, Facebook, Amazon, etc.—and knowing how to design studies will complement the skills learned in other business analytics courses. In addition to data acquisition and data mining, you learn data creation.

2 units

Electives

The following elective possibilities are subject to change:

ACCT 530 Forensic Accounting

This course provides an overview of forensic and investigative accounting topics. It concentrates on concepts involved in understanding and differentiating the various types of forensic and investigative accounting methods. Instruction and application of basic forensic and investigative accounting techniques will be a focus of this course.

2 units

ACCT 542 Introduction to Financial and Managerial Accounting

Course with a combined introduction to financial and managerial accounting.

3 units

ECON 520 Quantitative Methods for Economics

This course introduces basic concepts in probability theory and univariate statistics, which are necessary for courses in microeconomics and econometrics. Probability topics include: probability models, random variables and joint distributions, expectations, and large-sample results. Statistical topics include: descriptive statistics, point estimators, confidence intervals, hypothesis tests, maximum likelihood methods, method of moments, and Bayesian methods. Calculus will be used extensively in this course.

3 units

ECON 522A Econometrics I

This course gives tools that are helpful for empirical analysis. It is focused on applications and it covers the potential outcome model, the average treatment effect, the linear model, the linear model with endogeneity, machine learning, prediction, and the bootstrap. Computer programming experience is helpful but not required. Applications include finance models, IO models and labor economic models and real datasets are used to estimate these models. The usefulness of random experiments and instrumental variables for causal inference is emphasized and so is the need for a parsimonious model for prediction.

3 units

FIN 521 Investment Analysis

Portfolio theory with applications to the markets for equities, fixed income securities, and options. Risk analysis and investment strategies.

3 units

FIN 525 Empirical Methods in Finance

This course is designed to familiarize students with database and various statistical methods needed to undertake practitioner-type research in finance. Heavy exposure to SAS.

3 units

MIS 510 Web Computing and Mining

Introduction to algorithms suited for developing internet-based information systems such as search engines and text mining.

3 units

MIS 531 Enterprise Data Management

Introduction to the fundamentals of database analysis, design and implementation.

3 units

MKTG 542 Customer Analytics

This course addresses topics in customer relationship management, data mining and data visualization of customer data.

3 units

MKTG 572 Marketing Research for Managers

This course will provide you with an overview of the issues involved in acquiring, analyzing and interpreting marketing research data.

3 units