Upper Division Certificate in Data Analytics

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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 use of data and information technology in all sectors, competencies in data and analytics are increasingly become 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 will benefit all undergraduate students, in majors such as Finance, Economics, Marketing, Accounting, Information Systems, Mathematics, Statistics, Biology, Chemistry, Psychology, Sociology, Political Science, Education, 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:

Produce graduates with knowledge and skills of data science and analytics’ methods, models, process, technologies, and tools.
Produce graduates who will be able to address local, national and global problems using big data and analytics.
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:

Able to explain big data and its applications.
Able to explain the data science and analytics methods, models, and processes.
Able to apply critical thinking skills for problem identification, problem solving and decision-making using data and analytics.
Able to apply data curation and management principles to prepare data resources for analytics.
Able to develop model-based solutions using datasets and statistical and machine learning techniques.
Able to prepare and effectively communicate outcomes of analytics visually, orally and in writing.

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:

BUIS 260 - Computer AppS for Business 3 Credits (or equivalent courses offered in the CTEC or Computer Science Departments such as COSC 110) *
DANL 280 - Fundamentals of Data Science and Analytics 3 Credits *

Note that BUIS 260 or equivalent course (e.g. COSC 110), or DANL 280 can be used to satisfy the general education for Technology or for free general education elective requirements.

BUIS 260 - Computer AppS for Business 3 Credits (or equivalent courses offered in the CTEC or Computer Science Departments) *
DANL 280 - Fundamentals of Data Science and Analytics 3 Credits *

Core courses (12 credit hours)

BUIS 362 - Database for Business 3 Credits 3 Credits or equivalent COSC/CTEC course
DANL 340 - Visualization and Visual Analytics 3 Credits or equivalent course
BUIS 462 - Decision Science and Analytics 3 Credits 3 Credits or equivalent course
DANL 480 - Big Data Analytics 3 Credits 3 Credits or equivalent course
___ ___ Others 3 Credits

Notes

* BUIS 260 or equivalent course can satisfy the general education requirements for Technology.

* DANL 280 can be used to satisfy the general education requirements for free general education electives.