Business Intelligence & Analytics Major
Business Intelligence and Analytics (BIA) majors acquire general business skills plus knowledge and experience in the theory of decision making, process analysis, database management, decision support systems, data visualization, data mining, statistical analysis, business analytics, competitive intelligence, knowledge management, business intelligence, supply chain, operations management, and enterprise security. Technology employed in the DSS curriculum changes to ensure that we stay on the leading edge, and includes Microsoft Office, Oracle, SAP, Python, R, JMP, Minitab, Tableau, Alteryx, and Power BI.
The area of Business Intelligence and Analytics is critical to helping students understand data. You'll learn to use the information to guide organizations in making strategic business decisions. Advances in technology have helped organizations collect a vast amount of data ranging from customer preferences to trends in sales.
The Department of Decision and System Sciences is dedicated to equipping students with the relevant skills to succeed in a technology-driven, data-intensive world. The BIA Programs focus on technology-related activities that:
- enhance technology use,
- data transformation, and
- analytics-based decision making.
Graduates go on to work in any discipline where strong technology, analytics and business intelligence skills are needed. We strive to create ethical, socially aware, technology-savvy leaders and problem solvers who contribute to a wide array of professions and professional environments. We provide industry-focused programs that prepare students to transform data into actionable knowledge to drive decision-making. Students are discerning in their use of information and are critical thinkers and effective communicators of meaningful analysis.
Outcome 1: Students will be able to prepare data of any size for data mining analytics.
Outcome 2: Students will demonstrate the use of data mining models that can identify hidden patterns and rules.
Outcome 3: Students will be able to identify and minimize biases in data collection, and correctly interpret BI&A results.
Outcome 4: Students will be able to communicate clearly and effectively in composing and delivering oral presentations to the target audience.
Outcome 5: Students will be able to weigh the ethics and the impact on society when confronted with a business decision making situation.
The traditional undergraduate programs includes a minimum of 120 credits distributed across three components: A General Education component divided into Signature Courses, Variable Courses, and an Integrative Learning requirement; a Major and Divisional component; and Free Electives. In addition to course requirements as specified in each area, students must complete one certified course in each of the following overlay areas1:
- Diversity, Globalization or Non-western Area Studies,
- Ethics Intensive
- Writing Intensive, and
- Diversity
- 1
Overlay requirements are part of the 120 credit requirements
General Education Signature Courses
See this page about Signature courses.
General Education Variable Courses
See this page about Variable courses. Six to Nine courses
General Education Overlays
General Education Integrative Learning Component
See this page about Integrative Learning Component. Three courses:
Code | Title | Hours |
---|---|---|
ILC 1: Economics | 3 | |
Introductory Economics Macro | ||
ILC 2: Math | 3 | |
Differential Calculus | ||
Fundamentals of Calculus | ||
Calculus I | ||
ILC 3: Non Department ILC: Select one from the following courses: | 3 | |
Accounting | ||
Fin Acc Info Sys I | ||
Management Acc Info Systems | ||
Business | ||
Business Strategy | ||
Computer Science | ||
Computer Science I | ||
CSC I:Programming Fundamentals | ||
English | ||
Writing for Organizations | ||
Scientific Writing | ||
Finance | ||
Markets and Institutions | ||
Fund of Quantitative Finance | ||
Mathematics | ||
Math of Games & Politics | ||
Psychology | ||
Intro Research Method Soc Sci | ||
Research Methods | ||
Theology | ||
Technology Ethics | ||
Total Hours | 9 |
Business Foundation
Ten courses, including:
Code | Title | Hours |
---|---|---|
ACC 101 | Concepts of Financial Acct | 3 |
ACC 102 | Managerial Accounting | 3 |
DSS 100 | Excel Competency | 1 |
DSS 200 | Intro to Information Systems | 3 |
DSS 210 | Business Statistics | 3 |
DSS 220 | Business Analytics | 3 |
FIN 200 | Intro to Finance | 3 |
or FIN 225 | Fund of Quantitative Finance | |
MGT 110 | Essent'ls of Organzational Beh | 3 |
or MGT 120 | Essentials of Management | |
MGT 360 | Legal Environment of Business | 3 |
MKT 201 | Principles of Marketing | 3 |
BUS 495 | Business Strategy 1 | 3 |
or ACC 423 | Accounting Control Systems | |
Total Hours | 31 |
Major Requirements
Six courses (note that students may take one elective from outside the DSS department, the second elective must be a DSS course)
Code | Title | Hours |
---|---|---|
Required Core | ||
DSS 315 | BIA Concepts & Practices | 3 |
DSS 330 | Database Management | 3 |
DSS 420 | Introduction to Data Mining | 3 |
DSS 435 | Advanced Business Analytics | 3 |
DSS Electives (Select two of the following): | 6 | |
Fin Acc Info Sys III (ACC majors only) | ||
Open Source Program Lang | ||
Insurance Data & Analytics | ||
Data Wrangling & Visualization | ||
or DSS 416 | Data Wrangling: Ethics Int. | |
Analytics Cup | ||
Alternative Risk Financing | ||
Six Sigma Apps & Foundations | ||
Statistical Programming Lang | ||
Machine Learning for Bus I | ||
Machine Learning for Bus II | ||
Supply Chain Analytics | ||
DSS Special Topics I | ||
DSS Special Topics II | ||
Independent Study I (Majors only & permission of the Chair) | ||
Independent Study II (Majors only & permission of the Chair) | ||
Game Theory (ECN majors only) | ||
Food Marketing Research (FMK majors only) | ||
Total Hours | 18 |