Bachelor of Science in Business Analytics
Overview
Business Analytics is the practice of transforming data into business insights to allow for better decision-making. By employing the latest tools, models and techniques, Business Analytics can help evaluate complex situations, consider all available options, predict outcomes and present critical risks for business decision makers. Harnessing the power of mathematical models, Business Analytics uses advanced tools and technologies to help each organization make the most of its data. The methods and models of analytics draw from disciplines including statistics, operations research, computer science, information systems and others. Business Analytics continues to be among the fastest-growing areas in business education in the United States.
The newly introduced Bachelor of Science in Business Analytics (BSBA) degree, also known as the Business Analytics major, now provides students with the option to major in Business Analytics in addition to the already available option of a concentration in Business Analytics. While a concentration includes five field courses and provides a broad introduction to the foundations of Business Analytics, a major in Business Analytics includes ten field courses that provide additional depth and rigor, and prepares students for analytics-focused jobs and careers. The BSBA will be a STEM degree and will train students in areas that are aligned with CIP Code 52.1301.
Some distinguishing attributes of the major are:
- A rigorous curriculum that is comprised of a combination of methods/foundational courses in Descriptive, Predictive, and Prescriptive Analytics (Methods)
- Elective options in Analytics applied to a specific functional area or an industry (Applications) available through several departments at GWSB
- A focus on communication, team, and project management (Skills)
- Hands-on exposure to industry standard Analytics tools/software (Technology)
An industry related project will serve as a capstone experience where students will work in teams on a real problem typically at one of our advisory board partner firms, and present their findings to the firm at the end of the project.
Career Options
A McKinsey report in 2016 emphasized that “most companies are capturing only a fraction of the potential value of data and analytics. Turning a world full of data into a data-driven world is an idea that many companies have found difficult to pull off in practice... and (leaving as a result) a great deal of that value still on the table.” Students who complete the Business Analytics major or concentration should be particularly strong candidates in the job market because of the continuing need in the marketplace for managers/analysts with strong analytical skills. Applications of analytics span a variety of industries and functional areas including marketing, finance, operations, HR, public policy, strategy, health care, tourism, sport, retail, etc. Some of the fastest-growing, most in-demand positions include:
- Analyst / Consultant for Business Case Modeling
- Business Analytics and Optimization Consultant
- Business Intelligence Analyst
- Data Scientist
- Decision Science Analyst
- Marketing Strategy Consultant
- Manager of Modeling and Analytics
- Pricing and Revenue Optimization Analyst
Recommended Minors or Second Majors
Business Analytics major students could consider adding one of the following fields as a minor or a second major:
- Computer Science
- Economics
- Math
- Political Science
- Statistics
Recommended GWSB Concentrations
Business Analytics major students could consider adding one of the following fields as a concentration to compliment their major:
Degree Requirements
The following requirements must be fulfilled: a minimum of 120 credits, including University General Education, pre-business, business core, and business analytics major courses.
Students pursuing business analytics as a second major should reference the business analytics as a second major requirements section at the end of this page.
Code | Title | Credits |
---|---|---|
General education courses | ||
UW 1020 | University Writing | |
6 credits taken in at least two writing in the disciplines (WID) courses in two or more separate semesters. 1 | ||
One critical analysis in the humanities course. 2 | ||
One scientific reasoning with laboratory course. 2 | ||
One course with an approved oral communication component. 2 |
Code | Title | Credits |
---|---|---|
Pre-business courses | ||
BADM 1001 & BADM 1002 | Business Leader Foundations I and Business Leader Foundations II 3 | |
or BADM 1003 | Business Leader Foundations for Transfer Students | |
BADM 3001 | Business Leader Career Strategy | |
BADM 4001 | Business Leader Launch | |
DNSC 1001 | Business Analytics I: Statistics for Descriptive and Predictive Analytics | |
or STAT 1051 | Introduction to Business and Economic Statistics | |
or STAT 1053 | Introduction to Statistics in Social Science | |
or STAT 1111 | Business and Economic Statistics I | |
or APSC 3115 | Engineering Analysis III | |
DNSC 2001 | Business Analytics II: Predictive and Prescriptive Analytics 4 | |
or STAT 2112 | Business and Economic Statistics II | |
or STAT 2118 | Regression Analysis | |
or STAT 2123 | Introduction to Econometrics | |
or ECON 2123 | Introduction to Econometrics | |
ECON 1011 | Principles of Economics I | |
ECON 1012 | Principles of Economics II | |
One of the following sequences in mathematics: | ||
MATH 1231 & MATH 1232 | Single-Variable Calculus I and Single-Variable Calculus II | |
or MATH 1051 & MATH 1252 | Finite Mathematics for the Social and Management Sciences and Calculus for the Social and Management Sciences | |
or MATH 1051 & MATH 1231 | Finite Mathematics for the Social and Management Sciences and Single-Variable Calculus I | |
or MATH 1220 & MATH 1221 & MATH 1051 | Calculus with Precalculus I and Calculus with Precalculus II and Finite Mathematics for the Social and Management Sciences | |
or MATH 1220 & MATH 1221 & MATH 1232 | Calculus with Precalculus I and Calculus with Precalculus II and Single-Variable Calculus II |
Code | Title | Credits |
---|---|---|
Business core courses | ||
ACCY 2001 | Introduction to Financial Accounting | |
Four courses selected from the following: | ||
ACCY 2002 | Introductory Managerial Accounting | |
BADM 2001W | Markets and Politics | |
or BADM 2001 | Markets and Politics | |
BADM 2301 | Management Information Systems Technology | |
BADM 3103 | Human Capital in Organizations | |
BADM 3401 | Contemporary Marketing Management | |
or BADM 3401W | Contemporary Marketing Management | |
BADM 3501 | Financial Management and Markets | |
BADM 3601 | Operations Management | |
BADM 4101 | Business Ethics and the Legal Environment | |
or BADM 4101W | Business Ethics and the Legal Environment | |
BADM 4801 | Strategy Formulation and Implementation | |
IBUS 3001 | Introduction to International Business | |
Business analytics major courses | ||
DNSC 3288 | ||
or DNSC 3288W | Big Data, Predictive Analytics, and Ethics | |
DNSC 3403 | Decision Models | |
DNSC 4211 | Programming for Analytics | |
DNSC 4219 | Forecasting Analytics | |
DNSC 4279 | Data Mining | |
DNSC 4280 | Machine Learning | |
DNSC 4289 | Capstone in Business Analytics | |
ISTM 4212 | Data Management for Analytics | |
Two courses selected from the following: | ||
DNSC 4233 | Social Network Analytics | |
DNSC 4281 | Revenue Management Analytics | |
DNSC 4282 | Supply Chain Analytics | |
DNSC 4900 | Special Topics | |
Electives | ||
In general, students complete 40 credits in elective courses to reach the 120 credits required for the degree. 18 of those credits must be taken outside of GWSB. Elective courses may be applied to a GWSB concentration, a non-GWSB minor, or a GWSB or non-GWSB second major. Reference the GWSB undergraduate policies section for course restrictions. |
1 Courses must be taken after completion of UW 1020 and in separate semesters.
3 First-year students take BADM 1001 and BADM 1002; transfer students take BADM 1003.
4 BS in business analytics students should complete DNSC 2001 as their advanced statistics requirement.
Business analytics as a second major
Students pursuing business analytics as a second major are required to complete the courses listed below. Non-GWSB students may declare business analytics as a second major directly with their home school advisor; a signature from a GWSB academic advisor is not required.
Code | Title | Credits |
---|---|---|
DNSC 3288 | ||
or DNSC 3288W | Big Data, Predictive Analytics, and Ethics | |
DNSC 3403 | Decision Models | |
DNSC 4211 | Programming for Analytics | |
DNSC 4219 | Forecasting Analytics | |
DNSC 4279 | Data Mining | |
DNSC 4280 | Machine Learning | |
DNSC 4289 | Capstone in Business Analytics | |
ISTM 4212 | Data Management for Analytics | |
Two courses selected from the following: | ||
DNSC 4233 | Social Network Analytics | |
DNSC 4281 | Revenue Management Analytics | |
DNSC 4282 | Supply Chain Analytics | |
DNSC 4900 | Special Topics |