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 

  1. Acquire knowledge of the history, evolution, current development, and the basic concepts central to business analytics.

  2. Apply data visualization, machine learning, artificial intelligence for effective business problem solving.

  3. Conduct business analytics using data mining techniques and know and where to find qualified data/resources to interpret the impact on business and institutions.

  4. Obtain hands-on experience in business analytics processes from problem identification, data collection, data exploration, descriptive, predictive and prescriptive analysis, and result interpretation.

Grading Policy

Student must earn a minimum grade of C- in all foundation courses and a cumulative GPA of at least 2.0 across all foundation courses. Students must earn a minimum of C- in all college core courses (EXCEPT MGT 488) and a cumulative GPA of at least 2.0 across all college core courses. A minimum grade of C (2.0) is required in MGT 488 (a grade of C- or lower will not be accepted).

Internship

The Applied Business Analytics concentration 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)

  • Only in exceptional cases, using a Student Petition, with appropriate College of Business and Management approvals, students may request to waive the three-hour internship requirement and substitute an alternative ECCE course.  
  • Credit for Prior Learning (IPL 305) may not be used by College of Business and Management students to fulfill degree requirements.

Requirements

Required Courses
Junior or senior standing required to enroll in ACC 311 and ECO 315
ACC 211
ACC 212
Introduction to Financial Accounting
and Introduction to Managerial Accounting
4-6
or ACC 311 Administrative Uses of Accounting
ECO 201
ECO 202
Introduction to Microeconomics
and Introduction to Macroeconomics
4-6
or ECO 315 Economics for Administration
ECO 213Statistics for Business and Economics3
or MAT 121 Applied Statistics
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.
Total Hours11-15
College Core Requirements:
BUS 312Principles of Marketing3
BUS 322Principles of Operations Management3
BUS 331ECCE: Business, Ethics, and Society3
FIN 302Principles of Financial Management3
MGT 310Managing Organizational Behavior3
MGT 330Business and Managerial Communication3
MGT 488Strategic Management: The Capstone 13
MIS 352Principles of Management Information Systems3
MIS 376Business Analytics3
Total Hours27
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 377Visual Analytics for Business3
MIS 385Data and Information Management3
MIS 471Artificial Intelligence and Machine Learning3
MIS 473Data Mining and Predictive Analytics3
MIS 476Business Analytics Practicum3
Elective Courses (Select one from the following)3
People 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 Hours18
Engaged Citizenship Common Experience (ECCE) 10