Data Analytics Certificate Program

In mid September, the World Economic Forum released "The Future of Jobs Report 2018" that projected by 2022, 85% of companies will have adopted "big data" analytics in the United States. The next closest technology was at 75%. The report noted that Data Analysts (and Scientists) are at the top of emerging job roles and that analytical thinking and innovation are top emerging skills.

Businesses of all types are struggling to keep pace with the sheer volume of data in their organizations and the need to transform the data into useable information for decision making.

Our NEW blended learning format (combining online digital media with traditional classroom methods) allows students to complete two courses per semester by coming to campus just one night per week, with the remainder of the instruction provided online. The certificate can be completed in one year. Candidates for the program should hold an undergraduate degree or within one year of being granted one.

Data Analytics Courses:

  • Descriptive Analytics
  • Business Intelligence
  • Predictive Analytics
  • Data Warehousing and Data Mining
  • Data Visualization
  • Capstone

Upon completion of the Data Analytics Certificate Program, individuals will have developed the necessary skills to help organizations make sense of the volume of data being generated by internal and internet based systems and then use the information to make informed decisions.

Data Analytic skills are becoming increasingly important in the following areas and applications:  Accounting, Auditing, Research and Development, Marketing, Human Resources, Media & Communications, Medicine, Government, Healthcare and Life Sciences, Sports, Operational Analysis, Stock Market Analysis, Customer Analytics, and General Management.

With the Adult Learner in mind:

* Certificate can be completed in one year.
* Offered during evening hours.
* Competitive rate.

For more information or if you would like to schedule a mini information session with program director, Phil Howe, please fill in the online form or contact us 484-664-3300 or wescoe@muhlenberg.edu.

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