Business Analytics

Dr. Patricia Sheridan
Chair of the Department

Using data, Business Analytics helps organizations evaluate their performance, gain operational insight, improve decision making and forecast market trends. It combines the study of analytical and statistical data analyses, data management, modeling and visualization. The underlying analytics tools and techniques emerge from a variety of disciplines such as operations research, statistics, computer science and traditional business fields. The Business Analytics major allows the student to develop the skills needed to pursue a data-related career in financial services, healthcare management, telecommunications, retail, media, or one of the many other industries where data analytics skills are in high demand.

The department offers both a Business Analytics major as well as a combined CIS and Business Analytics dual major. The CIS and Business Analytics dual major is ideal for students who have quantitative problem solving skills and a strong interest in information technology.


Business Analytics

BUAN/CIS 205Introduction to Programming for Business Applications3
BUAN/CIS 310Business Data Management3
BUAN 327Advanced Business Statistics3
BUAN 410Data Mining for Business Intelligence3
BUAN 427Analytical Decision Making3
Approved BUAN Electives6
Total Credits21

A minimum grade of C is necessary to receive major credit.

CIS/Business Analytics Dual Major Requirements

The dual major in CIS and Business Analytics is available to students in the School of Business only.

CIS 201Computer Hardware and Software3
BUAN/CIS 205Introduction to Programming for Business Applications3
BUAN/CIS 310Business Data Management3
CIS 326Business Data Communications and Telecommunications3
BUAN 327Advanced Business Statistics3
BUAN 410Data Mining for Business Intelligence3
BUAN 427Analytical Decision Making3
CIS 431Analysis, Design, and Implementation of Information Systems3
Two Approved BUAN Electives6
One elective in Marketing and Management (approved by CIS-BUAN Director)3
One elective in Finance or Accounting (approved by CIS-BUAN Director)3
Total Credits36

A minimum grade of C is necessary to receive a major credit.


BUAN 205. Introduction to Programming for Business Applications. 3 Credits.

Introduction to computer programming and data analysis utilizing an object-oriented programming language. Topics include input/output statements, variables, arithmetic and logical operations, decision statements, loop structures, functions, data formats (csv, json, xml), web scraping and libraries for data manipulation/analysis. In this course, problem solving and algorithm development skills will be honed on assignments involving business applications. Pre-requisite: CIS 110.

BUAN 227. Business Statistics. 3 Credits.

Applications of statistical methods of data analysis and decision making. Coverage includes descriptive statistics, statistical measures and estimation, testing of hypothesis, linear regression and correlation analysis. Use of computer software for statistical analysis and business applications. Prerequisite: MATH 153 (or MATH 105), CIS 110.

BUAN 310. Business Data Management. 3 Credits.

This course introduces the core concepts of data and information management. It is centered around the core skills of identifying organizational information requirements, modeling them using conceptual data modeling techniques, converting the conceptual data models into relational data models, and implementing the models using a commercial relational database management system. Additional topics include database administration, security, transaction management, distributed databases and SQL programming. Pre-requisite: CIS 110.

BUAN 317. Principles of Data Visualization. 3 Credits.

This course introduces the core concepts, principles and technologies that are utilized to visualize data. Students will learn about the different dimensions of data, how different types of data are encoded and how to analyze, summarize and visualize data. Spreadsheet-based and web-based visualization tools will be utilized throughout the course. Pre-requisite: BUAN 227, BUAN/CIS 205.

BUAN 327. Advanced Business Statistics. 3 Credits.

The course aims to broaden students' knowledge of statistics as an instrument for extracting information from data and a basis for enhanced decision-making in every aspect of business. Topics include regression analysis, time series forecasting, ANOVA and design experiments. Prerequisite: CIS 227.

BUAN 350. Supply Chain Analytics. 3 Credits.

Supply chains are an integral part of contemporary business practices. This course focuses on understanding key areas of logistics and supply chain management where data analytics can help the companies overcome the complexities of today's marketplace. Students will be introduced to various methods and tools for descriptive, predictive and perspective analytics to address supply-chain decision problems such as efficiently managing the network of suppliers, manufacturers of goods/services, and distributors. Much of the course concepts will be covered through case studies and simulators. This course may not be taken concurrently with MGMT 307. Pre-requisite: BUAN 227.

BUAN 410. Data Mining for Business Intelligence. 3 Credits.

This course addresses how technology can be used to connect data to decision making. The use of real-world examples and cases places data mining techniques in context and fosters the development of data-analytic thinking, and also illustrates that proper application of data-mining techniques is as much as art as it is a science. In addition to the cases, the course features hands-on exercises within data mining software. Pre-requisite: BUAN/CIS 310 and BUAN/CIS 205.

BUAN 415. Security, Privacy & Ethical Issues in Business Analytics. 3 Credits.

This course covers the tools, techniques and issues related to securing and using digital information. Topics include authentication, anonymity, legal and ethical issues of big data, basic cryptographic tools, access management, web tracking technologies and digital rights management. Issues will be examined from both the business owner and user perspective. Pre-requisite: BUAN/CIS 310.

BUAN 427. Analytical Decision Making. 3 Credits.

This course focuses on advanced data mining topics such as Social Network Analysis, Text Mining, the application of advanced analytics algorithms such as SVM, Neural Networks, bootstrap models and model validation to solve data-intensive business problems. Students will be expected to design and implement a data driven solution to a real world business problem. Pre-requisite: BUAN 410 and BUAN 327.

BUAN 440. Big Data Analytics for Business Applications. 3 Credits.

This course introduces the student to the fundamental concepts of Big Data management and analytics. The course will examine the challenges faced by applications dealing with very large volumes of data as well as in proposing scalable solutions for them. Modern big data technologies such as current map-reduce and NoSQL platforms will be utilized to solve large business analytics problems. Pre-requisite: BUAN 410.

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