Program Overview

Digital Retailing Advanced Data Analytics Master's

Overview

The Master of Science (M.S.) in Advanced Data Analytics with a concentration in Digital Retailing is designed to provide students with the skills and knowledge needed to analyze data and improve the digital customer experience.

Program Type and Format

• Master of Science (M.S.)
• Format: On Campus, Online
• Estimated time to complete: 1-2 years
• Credit Hours: 30

Program Description

The program combines digital retailing, big data analytics, machine learning, cloud computing, and data visualization with real business case studies. It is designed to help students advance in their current job or launch a new career in an expanding job market.

Marketable Skills

• Derive actionable insights from digital retailing data
• Identify data features and build predictive models
• Deploy cloud-based tools for wrangling data
• Create data visualizations for effective business communication
• Apply cloud-based machine learning tools

Program Highlights

• All core courses are offered in accelerated 8-week sessions during the fall, spring, and summer.
• The accelerated online option provides five start times per year.
• Students can complete their degree in as few as 12 months by choosing the accelerated online course format.
• Students can also choose to take a concentration consisting of 18 hours of core coursework with 12 hours of coursework in their concentration area.
• Available concentrations include: Digital Retailing, Health Data Analytics, Management and Statistics.

Career Opportunities

Industries need experts who can analyze and interpret data to help them understand their risks, increase their profit, and grow their business. A master's in Advanced Data Analytics can help students break into the in-demand field of data analytics and make themselves more valuable to employers.

Courses

• Digital Optimization (3 hrs)
• Digital Retailing (3 hrs)
• Large Data Visualization (3 hrs)
• Harvesting, Storing and Retrieving Data (3 hrs)
• Discovery and Learning with Big Data (3 hrs)
• Global Retailing (3 hrs)