Graduate Certificate Program

Data Analytics

Data analytics provides one with the ability to integrate data to enhance a business’s competitive position, use technology to predict future market trends, enable data-based decision making, and to develop more effective reporting of relevant data for better business solutions.  Through this certificate program students will explore: methods for identifying data patterns and trends that are reportable in meaningful reporting systems; application of mathematical statistics to describe, analyze, and forecast business data; and how businesses integrate analytics and predictive modeling into their decision–making models.

This program is ideal for adult learners, with fast-paced seven week courses that allow you to quickly gain career-enhancing skills.  A graduate certificate in data analytics will be awarded upon successful completion of the required four courses (8.4 CEU's).

For tuition information, click hereTo view the current academic schedule, click here

business analytics instructor at Wentworth

Admissions Requirements

Successful applicants for admission to the Data Analytics Graduate Certificate should

  • Have a minimum of a completed Bachelor’s Degree
  • Own or have regular access to personal computer

Each Course

  • Length: 7 weeks
  • CEUs: 2.1 per/course

Certificate Requirements

  • Applied Statistics
  • Database Management Systems
  • Predictive Modeling
  • Data Mining

Course Descriptions

TBAN7210 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, operations, etc.  Statistical topics covered include: descriptive statistics, analysis of variance, statistical process control, correlation, regression, hypothesis testing, and decision trees.  Both SAS and R will be utilized in the course.

TBAN7220 Database Management Systems: This course will offer an introduction on 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.

TBAN7230 Predictive Modeling: This course provides prospective managers with the skills necessary 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.  Business cases covered are evaluating market conditions, understanding and listening to customers, and analyzing competitors.   Topics include:  qualitative and quantitative research, experimental design, offline vs. online data collection, interviews and surveys, multivariate analysis, text analytics, reporting and data visualization.

TBAN7240 Data Mining: This course will offer an introduction to the major principles and techniques used in data mining from an algorithmic perspective. Topics include: data preparation and feature selection, association rules, classification, clustering, evaluation and validation, scalability, spatial and sequence mining, and data mining application. Students will implement data mining project using DBMS. Prerequisite: TBAN7220 Database Management Systems

Program Notes: Courses are awarded Continuing Education Units (CEUs), not college credit. Courses are designed to be taken one at a time and in sequence. 

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