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Nov 21, 2024
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2024-2025 Undergraduate Catalog
Upper Division Certificate in Data Analytics
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Return to: College of Business
About the Program
The field of Data Analytics (DA) focuses on problem and data (big or small) understanding, identifying data, preparing data, analyzing data, interpreting results, and building models for solving problems and for decision-making purposes using methods, approaches, technologies, and tools. With advances in the use of data and information technology in all sectors, competencies in data and analytics are increasingly becoming essential in all disciplines. The proposed Upper Division Certificate Program will focus on teaching students about data and its management as well as DA applications for problem-solving and decision-making using information technology. This Upper Division Certificate program is open and benefits all undergraduate students in any major. To list a few of the majors that highly benefits include Finance, Economics, Marketing, Accounting, Information Systems, Mathematics, Statistics, Biology, Chemistry, Psychology, Sociology, Political Science, Education, History and Governments, and Criminal Justice.
The UDC-DA was modeled on the National Consortium on Data Science three dimensions: data flow, data curative, and data analytics (Ahalt, 2012). The UDC-DA goals are:
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Produce graduates with knowledge and skills of data science and analytics’ methods, models, process, technologies, and tools.
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Produce graduates who will be able to address local, national and global problems using big data and analytics.
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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 UDC-DA are:
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Able to explain big data and its applications.
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Able to explain data science and analytics methods, models, and processes.
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Able to apply critical thinking skills for problem identification, problem solving and decision-making using data and analytics.
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Able to apply data curation and management principles to prepare data resources for analytics.
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Able to develop model-based solutions using datasets and statistical and machine learning techniques.
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Able to prepare and effectively communicate outcomes of analytics visually, orally and in writing.
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Certificate Program Requirements
Data Analytics Upper Division Certificate is comprised of four 300 and 400 level courses covering data management and processing, data visualization and data analytics for problem solving and decision support. This Upper Division Certificate is open to any undergraduate major at Bowie State University.
The pre-requisites needed to enter the Data Analytics Certificate program are:
Core Courses (12 credit hours)
The Upper Division Certificate in Data Analytics course requirements are:
Curriculum Sequence
The following sequence represents a typical selection of courses. The recommended course sequence is as follows:
Pre-requisite
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Course
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Offering
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When to Take
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Fundamentals of data science and analytics or Computer Applications for Business
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DANL 280 OR BUIS 260 OR Equivalent
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Fall, Winter, Spring and Summer
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Freshman/sophomore
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CORE REQUIREMENTS |
Database for Business (Prereq. BUIS 260 or equivalent)
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BUIS 362
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Fall and Spring
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Sophomore/Junior
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Visualization and Visual Analytics (Prereq. DANL 280 or BUIS 260 or equivalent)
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DANL 340
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Spring
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Sophomore/Junior
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Decision Science and Analytics (Prereq. BUIS 362 or equivalent)
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BUIS 462
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Spring
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Junior/Senior
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Big Data Analytics (Prereq. BUIS 462)
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DANL 480
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Fall
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Junior/Senior
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Return to: College of Business
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