DATA ANALYTICS certificate

• WHO CAN APPLY? The certificate can be completed as a part of any Goddard School of Business and Economics degree or as a stand-alone certificate.
  • NOTE: This certificate is designed for those who may or may not have technical backgrounds or experience with data analytics
• DELIVERY: The courses will be conducted in 16 week semesters. Three courses will be in person, one will be virtual.
• PREREQUISITES: Applicants must have successfully completed MATH 1040 or QUAN 2600 prior. Descriptions are below. Basic computer competency is required.
• GRADE REQUIREMENTS: Students must complete all program courses with a grade of “C-” or higher. 
• CREDIT HOURS: 10 total credit hours. Three courses are 3 credits, one course is 1 credit. The following is a list of the required courses:

REQUIRED COURSES 

• MIS 2010 | Business Computer Skills (1 cr)

  MIS 2010
  Business Computer Skills (1 cr)

  INSTRUCTOR: TBD
  TAUGHT: Fall, Spring, Summer (full semester)
  DELIVERY: Online

  This course prepares all students in business and economics to demonstrate current competence in desktop software commonly used in the business environment. The course covers computer competencies students will use in their business functional and cross-functional core courses, using more complex features of desktop software. It is followed by a hands-on exam that tests these competencies. Credit/No credit.

• MIS 2030 | Introduction to Business Analytics (3 cr)

  MIS 2030
  Introduction to Business Analytics (3 cr)

  INSTRUCTOR: TBD
  TAUGHT: Fall, Spring (full semester)
  DELIVERY: Face-to-Face

  Business analytics refer to the ways in which organizations use data to gain insights and make better decisions, and has become a critical capability for organizations of all types and sizes. It is applied in various business functions including marketing, finance, human resources, operation and strategic planning. This course covers basic analytic methods used by organizations. Students will learn how to explore, manipulate and present data. They will also learn how to use data to develop insights and predictive capabilities by using predictive analytics techniques.

  Pre-requisite(s): MATH 1040 or QUAN 2600.

• MIS 20XX | Business Analytics with Python (3 cr)

  MIS 20XX
  Business Analytics with Python (3 cr)

  INSTRUCTOR: TBD
  TAUGHT: Spring (full semester)
  DELIVERY: Face-to-Face

  Coming soon

• MIS 3220  |  Business Intelligence (3 cr)

  MIS 3220
  Business Intelligence (3 cr)

  INSTRUCTOR: TBD
  TAUGHT: Fall, Spring (full semester)
  DELIVERY: Face-to-Face

  This course provides an understanding of the concepts of Business Intelligence (BI) as an information technology approach of data collection and data analysis to help enterprise users make better managerial decisions. The course explores the detailed discussion of the analysis, design, and implementation of systems for BI including enterprise data-warehousing, knowledge management systems, big data, and text mining.  The course will help students learn analytical components and technologies to integrate, analyze and report data.  The course will utilize Microsoft BI tools including Microsoft Power BI desktop, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS).

  Pre-requisite(s): MIS 2030.