Catalog
2017-18

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.

Major 

Business Analytics

BUAN/CIS 205Intro to Prog for Bus App.3
BUAN/CIS 310Business Data Management3
BUAN 327Advanced Business Statistics3
BUAN 410Data Mining for Business Applications3
BUAN 427Analytical Decision Modeling3
Approved BUAN Electives6
Total Credits21

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

BUAN Major Study Plan

First Year
FallCreditsSpringCredits
RELS 110 or ENGL 1103MGMT 201 or MKTG 2013
ECON 203 or ACCT 2013ECON 204 or ACCT 2023
CIS 110 or MATH 1533SCI Elective3
PSYC 2033ENGL 110 or RELS 1103
SCI Elective3MATH 153 or CIS 1103
 15 15
Second Year
FallCreditsSpringCredits
MKTG 201 or MGMT 2013ACCT 202 or ECON 2043
ACCT 201 or ECON 2033ENGL 211 (or ENGL Elective)3
ENGL 211 (or ENGL Elective)3BUAN 227 or MATH 1543
MATH 154 or BUAN 2273SOC 201 or PHIL 2013
LAW 2033BUAN/CIS 2053
 15 15
Third Year
FallCreditsSpringCredits
BUAN/CIS 3103BUAN 3273
HIST Elective/RELS Catholic Studies 3BUAN 4103
PHIL 201 or SOC 2013RELS Catholic Studies/HIST Elective 3
MGMT 307 or FIN 3013FIN 301 or MGMT 3073
Free Elective3ECON 3053
 15 15
Fourth Year
FallCreditsSpringCredits
BUAN 4273BUAN Elective3
BUAN Elective3MGMT 406 or 4303
MGMT 406 or 4303Free Elective3
RELS Global/Contemporary3Liberal Arts Electives6
Liberal Arts Elective3 
 15 15
Total Credits: 120

Students enrolled in the School of Business who wish to minor in Business Analytics must complete the following in addition to the core courses required of all students in Business:

BUAN Minor Courses

BUAN/CIS 205Intro to Prog for Bus App.3
BUAN/CIS 310Business Data Management3
BUAN 317Principles of Data Visualization3
or BUAN 327 Advanced Business Statistics
BUAN 410Data Mining for Business Applications3
Total Credits12

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 & Software3
BUAN/CIS 205Intro to Prog for Bus App.3
BUAN/CIS 310Business Data Management3
CIS 326Networks, Telecommunications and Global Communications3
BUAN 327Advanced Business Statistics3
BUAN 410Data Mining for Business Applications3
BUAN 427Analytical Decision Modeling3
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.

Courses

BUAN 205. Intro to Prog for Bus App.. 3 Credits.

Introduction to computer programming and data analysis ulilizing 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.

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.

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 that 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-requisites: 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, ANOV and design of experiments. Prerequisites: BUAN 227, BUAN/CIS 205.

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 prescriptive 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 simulations. This course may not be taken concurrently with MGMT 307. Pre-requisite: BUAN 227.

BUAN 410. Data Mining for Business Applications. 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 the proper application of data-mining techniques is as much an art as it is a science. In addition to the cases, the course features hands-on exercises within data mining software. Prerequisites: BUAN/CIS 205, BUAN/CIS 310.

BUAN 415. Security, Privacy & Ethical Issues in Business Anayltics. 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.

BUAN 427. Analytical Decision Modeling. 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 drivien solution to a real world business problem. Pre-requisite: BUAN 410.

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

This course introduces the student to the fundamental concepts of Big Data management and analytics. This 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 ultilized to solve large business analytics problems. Pre-requisite: BUAN 410.

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