BUAN - Business Analytics
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Business Analytics Minor
Business analytics is focused on data-driven business decision-making and the technical and analytical skills needed to interpret data to gain business insights. It encompasses a range of processes, including acquiring and understanding historical data as well as identifying trends, patterns, and causes in the data. It employs software tools that are accessible to the end user, ultimately aiming to supplement business-related skills with analytical skills in the formation of a business analyst.
The business analytics minor is interdisciplinary and is available to students of all majors. The foundation of the minor is based primarily on analytics-focused business core courses and Business Intelligence courses. Electives in the minor include courses from several business and non-business disciplines.
Program Learning Goals in Business Analytics
The learning goals of the minor reflect the knowledge domains of business analytics:
Data Acquisition. Accurately identify and access data sources and structures to retrieve and prepare data for business analysis.
Analytics Techniques. Appropriately apply predictive and prescriptive analytics techniques to business data and problems.
Descriptive/Visualization. Effectively describe and visualize business data using analytics and business intelligence tools.
Reporting/Communication. Ethically interpret and communicate the results of business data analyses.
Minor Requirements
Required Courses (19 credit hours)
BI 1100 | BUSINESS ANALYSIS WITH EXCEL | 1 |
BI 2200 | DATA-DRIVEN DECISION-MAKING | 3 |
EC 2210 | BUSINESS ANALYTICS AND STATISTICS | 4 |
BI 2201 | BUSINESS DATA ACQUISITION USING SQL | 1 |
BI 2202 | BUSINESS APPLICATIONS OF R | 1 |
BI 2241 | INTRODUCTION TO DATA VISUALIZATION WITH TABLEAU | 3 |
BI 3341 | ADVANCED DATA-DRIVEN DECISION-MAKING | 3 |
BI 3371 | BUSINESS DECISION OPTIMIZATION | 3 |
Alternatives to EC 2210 are EC 2209 plus one of the following: DATA 1220 or DATA 2280 or PO 1500.
Alternatives to BI 2201 and 2202 are DATA 1500 and 4240 respectively.
Alternative to BI 3341 is MK 3382.
Contextual Elective Courses (3 to 6 credit hours - choose one Group)
One course or pair of courses chosen from one of the following three Groups. Students are responsible for completing any pre- or co-requisites for any listed course.
Group 1. Business Data-Intensive Course (3 credit hours)
One course chosen from the following.
AC 2210 | BUSINESS ANALYTICS IN ACCOUNTING | 3 |
EC 3310 | EMPIRICAL METHODS I | 3 |
EC 3370 or FN 3370 | INTRODUCTION TO FINTECH | 3 |
EC 3380 or FN 3380* | MACHINE LEARNING IN BUSINESS | 3 |
MK 4402 | APPLIED MARKET RESEARCH AND ANALYSIS | 3 |
MOL 3343 | TECHNOLOGY AND PEOPLE ANALYTICS | 3 |
*Recommended for Data Science majors
Group 2. Context-Specific Data-Intensive Course/Lab (4 credit hours)
One course plus lab chosen from the following.
PO 3511 | QUANTITATIVE RESEARCH METHODS | 3 |
PO 3521 | POLITICAL SCIENCE RESEARCH METHODS LAB | 1 |
or | ||
PS 3011 | EXPERIMENTAL DESIGN AND ANALYSIS IN PSYCHOLOGY | 4 |
PS 3010 | EXPERIMENTAL DESIGN AND ANALYSIS LABORATORY | 0 |
or | ||
SC 3510 | SOCIOLOGICAL DATA ANALYSIS | 3 |
SC 3520 | RESEARCH METHODS LAB | 1 |
Group 3. Advanced Statistics Plus Methods Course (6 credit hours)
DATA 2600 | INTERMEDIATE STATISTICS WITH SPSS | 3 |
Plus one course chosen from the following.
COM 3041 | COMMUNICATION RESEARCH METHODS | 3 |
ESC 2320/ SPL 2320 | RESEARCH METHODS IN EXERCISE SCIENCE AND SPORTS STUDIES | 3 |
SC 3500 | SOCIOLOGICAL RESEARCH METHODS I | 3 |
Total Credit Hours: 22-25