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Graduate Certificate in Data Analytics

College of Professional & Continuing Education

Part Time
Part-Time Degree & Certificate Programs
On Campus

Program Description

Managing data, moving forward

In Wentworth’s data analytics certificate program, adult learners will explore methods for identifying data patterns and trends; the application of mathematical statistics to describe, analyze and forecast business data; and how businesses integrate analytics and predictive modeling into their decision-making models.

Convenient for working adults, the program requires four fast-paced seven-week courses, allowing you to quickly earn 8.4 CEUs (2.1 per course). You’ll also enjoy access to all Wentworth resources and support services, including library, academic advising, career counseling and technical support.


  • Program Objectives

    With a graduate certificate in data analytics, you will be prepared to:

    • Work strategically with data to help achieve organizational goals.
    • Advance your career in a range of fields, including information technology, human resources, financial services and insurance.
  • Admissions Requirements & Process

    Applicants to the data analytics certificate program should have a minimum of a completed bachelor’s degree and own or have regular access to a personal computer. Other admissions requirements include:

    • Online application
    • Official transcript(s) from any college(s) attended
    • Current resume
  • Program Curriculum

    The program’s four required courses must be taken in the following sequence.

    Applied Statistics – This course teaches quantitative methods used in business analysis. Statistics is a key component both in the planning and evaluation of business projects across finance, marketing and operations. Topics include descriptive statistics, analysis of variance, statistical process control, correlation, regression, hypothesis testing and decision trees.

    Database Management Systems – This course will offer an introduction to the principles, design, implementation and applications of database management systems. Topics include introduction to normalization, database creation and maintenance, data loading, recovery planning, security, generating reports and changing databases in response to business demand.

    Predictive Modeling – This course teaches students to make effective use of scientific research processes to enhance decision-making. This process involves understanding how to develop key research questions, model and theory building, information uncertainty, data collection methods, data cleaning, analytics and reporting. Through business cases, students will learn about qualitative and quantitative research, experimental design, offline vs. online data collection, interviews and surveys, multivariate analysis, text analytics, reporting and data visualization.

    Data Mining – This course will offer an introduction to the major principles and techniques used in data mining from an algorithmic perspective, and using a database management system (DBMS). Topics include data preparation and feature selection, association rules, classification, clustering, evaluation and validation, scalability, spatial and sequence mining and data mining application.