Catalogue 2017 - 2018

Business Analytics and Information Management

General Information

The Business Analytics and Information Management (BAIM) major prepares students for careers in Business Analytics and related fields. Business decisions these days are data driven and this program teaches the tools and techniques used by professionals in the field. All business decision makers are consumers of analytics. Business Analytics skills are applicable to all industries such as finance, retail, healthcare, sports and entertainment, to name a few. All functions in an organization such as accounting, finance, management, marketing, and sales need analytics, hence Business Analytics skills. Business Intelligence (BI), Data Mining (DM), Python, Predictive Analytics (PA), and Data Visualization software are some of the focus areas in the BAIM major.

Career Preparation

To emphasize the career options best suited for BAIM majors, faculty in the BIS department will provide in-class activities to guide students from career exploration through career implementation. Examples of some of these include:
  1. Career exploration in the freshman year is accomplished in the First Year Seminar and BIS 102 – Problem Solving with Business Tools course where students are introduced to business analytics career opportunities;
  2. Career investigation in the sophomore year courses includes assignments to investigate business analytics jobs in BIS 202 – Introduction to Business Information Systems and BIS 221 – Statistics for Business Analytics and guest speakers;
  3. Career determination in the junior year engages students in a mentor plan and interaction with local technology experts; and
  4. Career implementation in the senior year includes internships. Students are exposed to tasks, tools and technology in professional job settings with internships.

    Career Opportunities

    As an emerging field, there is a high demand for business professionals with Business Analytics skills. While Department of Labor forecasts “bright outlook” for the jobs in business analytics, McKinsey Global Institute estimates “a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts to analyze big data and make decisions” in the United States alone. Data Visualization skills are nearly a job requirement for all Business School graduates.

    Banking, retail, insurance, manufacturing, healthcare, and telecommunications are sample list of industries utilizing Business Analytics solutions to streamline operations. Understanding, planning, managing, and predicting financial and operational performance are common processes in many industries. Almost all businesses today employ professionals with Business Analytics skills.

    Business Analytics and Information Systems Faculty


    Program Learning Goals

    The Business Analytics and Information Management major has four goals. Graduates from BAIM will be able to do the following tasks to support decision making and problem solving in businesses:

    1. Identify, collect and analyze data. Make business decisions based on Data Analysis (DA).

    2. Develop, deploy and improve decision-making and problem solving processes with models.

    3. Utilize relevant techniques to address Business Analytics needs of organizations.

    4. Use tools and technology to support decision-making and problem solving.

    Practicum

    BAIM majors are strongly advised to take advantage of Internship opportunities available to them. The practical experience gained via internships supplements the classroom learning and leads to expanded full time employment opportunities, after graduation. To this end, BIS 480 is the designated course.
     

      See Core Requirements for All Business Majors and General University Requirements (83 credit hours

      Degree Requirements

      Required Business Analytics courses (18 credit hours)

      BIS 230Business Analytics Theory & Practice

      3 cr.

      BIS 321/IT 300Database Management Systems

      3 cr.

      BIS 330Applied Data Mining

      3 cr.

      BIS 412Business Analytics with SAP

      3 cr.

      BIS 445Business Analytics Project

      3 cr.

      BIS 450Multivariate & Big Data Analysis

      3 cr.

      Total Credit Hours:18

      Electives (21 credit hours)

      BIS 481Internship in Business Analytics and Information Systems

      3 cr.

      or

      GEN XXXGeneral Elective

      3 cr.

      And

      BIS 3XX/4XXElective

      3 cr.

      GEN XXXGeneral Electives

      15 cr.

      Total Credit Hours:21

      Total Credit Hours: 39