The
specialization in Business Analytics teaches the use of data and models
to support decision making in business. Students learn how to model
such relationships as the impact of advertising on sales, how historical
data predict stock returns and how changes in task characteristics can
influence time to completion. Broad understanding and knowledge of
important business analytic topics and how they can be used to support
decision making in all business areas, government, education, and
agriculture. Technical procedures used to describe, predict and
prescribe data into information for decision making. Data exploration
and how it results in a sequence of descriptive, predictive and
prescriptive processes to result in unique and new information on which
decisions can be made.
In
this specialization, the focus is in learning skills like Data Mining
for Business Intelligence, Decision Models, Econometrics, Forecasting
Time Series Data, Introduction to Stochastic Processes, Managing for
Quality, Risk Management Systems, Trading Strategies and Systems,
Regression and Multivariate Data Analysis.
By
building stronger analytical skills, management students will be able
to tackle complex business and societal problems such as predicting and
better understanding customer buying trends, optimizing organizational design, collecting and processing competitive intelligence, building an
efficient healthcare system, improving retail sales, or helping brand
managers gather critical feedback on the success of a marketing
campaign. Some of the topics that will be discussed in this course
include Big Data, Strategy Simulation Modelling and Decision Models,
Data Mining, Strategy Analytics, Prediction, Social Media Analytical
Tools, and Data Visualization.
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