Dec 04, 2023  
2023-2024 Undergraduate Catalog 
    
2023-2024 Undergraduate Catalog

Business Administration - Data Analytics for Decision Making, BS


Return to {$returnto_text} Return to: Programs of Study

Data is everywhere and analysts are using that data every day to help organizations make critical business decisions. From predicting spending habits to monitoring the growth of a public health crisis, data scientists collect, manage and analyze the data needed to make informed decisions. With guidance from expert College of Business faculty at Bowie State, today’s business administration majors studying data analytics are preparing to become tomorrow’s leaders in this fast-growing field. Problem-based learning, capstone projects and application of latest information technology are the foundation of the program, providing students with a high-impact, experiential education that positions them for success.

The Data Analytics Concentration program goals are:

  • Produce graduates with strong knowledge and Skills of data science and analytics’ theories, methods, models, process, technologies and tools.
  • Produce graduates who will be able to solve local, national and global problems using big data and analytics. 
  • Produce graduates with strong problem-solving skills.
  • Produce graduates with strong critical thinking and analytical skills.
  • Produce graduates who will create new business and innovative solutions using advanced and emerging data analytics techniques and technologies.     
  • Produce graduates who can effectively tell-stories from the results of analytics using oral, written and visual forms of communication. 

The expected learning outcomes for the Data Analytics Concentration expected learning are:

  • Able to give examples and explain the role of big data for discovery of solutions for real-world problems.
  • Able to explain the data science and analytics theories, methods, models and process.
  • Able to explain big data and its applications.
  • Able to apply data management principles relating to data representation, storage, retrieval and analysis: Able to prepare data-big or small-for analysis for a given problem.
  • Able to develop model-based solutions for a given problem with datasets using statistical techniques and machine learning techniques.
  • Able to evaluate model-based solutions for a given problem with datasets using statistical techniques and machine learning techniques.
  • Able to present and communicate outcomes of analytics visually.
  • Able to demonstrate critical thinking skills associated with problem identification, problem solving and decision-making using data and analytics.

Curriculum Design, Program Modality, and Related Learning Outcomes 

The Data Analytics concentration requirements include 1 pre-requisite course to be used as a general elective, 1 fundamental course, 4 required courses and a capstone course, and 2 elective courses, i.e., total of 8 three credit courses (24 credit hours).  A listing of the concentration courses is provided in Table 3 and the course descriptions are included immediately thereafter.  Computer Applications for Business (BUIS 260) is pre-requisite before beginning the concentration sequence of courses.  Other computer science or computer technology courses maybe substituted to satisfy concentration requirements.

General Education and Institutional Requirements (46-47 Semester Hours)


Arts and Humanities (6 semester hours)


One course in each of two disciplines in arts and humanities 

Science (7-8 Semester Hours)


Two science courses, at least one of which shall be a laboratory course

Discipline/Courses


Mathematics (3 semester hours)


One course in mathematics at or above the level of College Algebra

English Composition (6 semester hours)


Two courses in English Composition

Social and Behavioral Sciences (6 semester hours)


One course in each of two disciplines 

Free General Education Electives (9 semester Hours)


Note:


*Students should choose the Econ course that that was not taken to satisfy the Social and Behavioral Science category above to count towards this Elective requirement. 

Technology (3 semester hours)


Institutional Requirements (6 Semester Hours)


Note:


COB students require a minimum letter grade of a C to pass these courses. 

Students are encouraged to take SUMMER courses and attend MINI-SEMESTER in order to have a manageable semester load.

In keeping with COMAR, the College of Business reserves the right to specify suitable general education courses for all majors.

Department And Area Specific Requirements


Data Analytics Concentration


Electives (3 semester hours)


College of Business Elective 3 Credits (300 or 400 level):

Sample Program


Freshman Year


Sophmore Year


Junior Year


Senior Year


First Semester


Total: 15

Second Semester


Total: 15

Note:


  • DANL 280 - required as one of the two courses to satisfy the 6 hours General Education Elective
  • List of courses for DANL electives: BUIS 361, BUIS 367, BUIS 400, BUIS 458, DANL 470,and other 300 or above course approved by advisor

Return to {$returnto_text} Return to: Programs of Study