Applied Business Analytics Concentration
An Applied Business Analytics concentration in the Bachelor of Science degree will provide students with the opportunity to specialize in an area of applied business analytics that is extremely relevant in public, for-profit, or non-profit organizations that require the skills of business analytics. The concentration will build upon the strengths of the UIS undergraduate general education requirements, existing CBM foundation and existing CBM college core course work to develop competencies that will prepare students for success in diverse areas of business such as business analysts.
Objectives
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Acquire knowledge of the history, evolution, current development, and the basic concepts central to business analytics
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Apply data visualization, machine learning, artificial intelligence for effective business problem solving
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Conduct business analytics using data mining techniques and know and where to find qualified data/resources to interpret the impact on business and institutions
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Obtain hands-on experience in business analytics processes from problem identification, data collection, data exploration, descriptive, predictive and prescriptive analysis, and result interpretation
All majors in the College of Business and Management require foundation knowledge in accounting, economics, mathematics, and statistics. Several of these courses also fulfill UIS general education requirements. Students must earn a minimum grade of C- in each course and a cumulative GPA of at least 2.00 across all foundation courses. UIS courses that satisfy the foundation knowledge requirements include:
Requirements
| Foundation Requirements (Junior or senior standing required to enroll in ACC 311 and ECO 315) 1 | ||
| Required Courses | ||
| ACC 211 & ACC 212 | Introduction to Financial Accounting and Introduction to Managerial Accounting | 4-6 |
| or ACC 311 | Administrative Uses of Accounting | |
| ECO 213 | Statistics for Business and Economics | 3 |
| or MAT 121 | Applied Statistics | |
| ECO 201 & ECO 202 | Introduction to Microeconomics and Introduction to Macroeconomics | 4-6 |
| or ECO 315 | Economics for Administration | |
| Total Hours | 11-15 | |
Course work equivalent to the above may be accepted upon approval by the student’s advisor and the College of Business and Management by a Student Petition.
| 1 | Students must earn a minimum grade of C- in ALL foundation courses and a cumulative GPA of at least 2.0 across all foundation courses |
| College Core Requirements: | ||
| BUS 312 | Principles of Marketing | 3 |
| BUS 322 | Principles of Operations Management | 3 |
| BUS 331 | ECCE: Business, Ethics, and Society | 3 |
| FIN 302 | Principles of Financial Management | 3 |
| MGT 310 | Managing Organizational Behavior | 3 |
| MGT 330 | Business and Managerial Communication | 3 |
| MGT 488 | Strategic Management: The Capstone 1 | 3 |
| MIS 352 | Principles of Management Information Systems | 3 |
| MIS 376 | Business Analytics | 3 |
| Total Hours | 27 | |
| 1 | Prerequisite: All college core courses, and within 12 hours of graduation or during the student's last semester. A minimum grade of C (2.0) is required in MGT 488 (a grade of C- or lower will not be accepted). |
All MIS undergraduate majors must complete 18 core credit hours to fulfill the degree requirements as follows:
| Applied Business Analytics Concentration Requirements | ||
| MIS 377 | Visual Analytics for Business | 3 |
| MIS 385 | Data and Information Management | 3 |
| MIS 471 | Artificial Intelligence and Machine Learning | 3 |
| MIS 473 | Data Mining and Predictive Analytics | 3 |
| MIS 476 | Business Analytics Practicum | 3 |
| One Elective Course (Select from the following) | 3 | |
| Human Resource Analytics | ||
| Research Methods and Analytics in Marketing | ||
Other subject-oriented analytics courses approved by MIS Department (e.g., Python, Marketing Analytics; Financial Analytics; Accounting Analytics) | ||
| Total Hours | 18 | |
| Engaged Citizenship Common Experience (ECCE) 1 | 10 | |
| 1 | The Management Information System degree requires a minimum of three hours of internship course work consisting of an individualized field experience (ILP 300) or an individual project (IPL 301) in the area of Applied Business Analytics. Students are encouraged to complete six hours of internship. Internship hours will be used to fulfill the Engagement Experience ECCE category. Students must complete course work in at least one of the other ECCE categories including U.S. Communities and Global Awareness. The one hour UNI 301 speaker Series course fulfills the last hour of the ECCE requirement (10 total ECCE hours required)
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