Program Overview

Advanced Data Analytics Master's

Program Overview

The Master of Science in Advanced Data Analytics is a 30-hour program that provides students with the breadth and depth of experiences to succeed in a data-driven business world. Combining big data analytics, machine learning, cloud computing, and data visualization with real business case studies, this degree helps students advance in their current job or launch a new career in an expanding job market.

Marketable Skills

• Derive actionable business insights from data
• Identify data features and build predictive models
• Deploy cloud-based tools for storing and 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: fall semester (August and October), spring semester (January and March), and summer term (June).
• 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. This degree provides students with a sophisticated understanding of how to use data and quantitative techniques to help their organization improve its processes.

Sample Courses

• Data Analytics I (3 hrs) Provides an overview of quantitative methods essential for analyzing data, with an emphasis on business and industry applications.
• Data Mining (3 hrs) Provides an introduction to collecting, storing, managing, retrieving, and processing datasets.
• Large Data Visualization (3 hrs) Presents strategies and methods for effective visualization and communication of large data sets.
• Big Data Analytics (3 hrs) Current issues in storage, retrieval, and analysis of large volumes of data (Big Data), in order to support business decisions.
• Analytics Capstone (3 hrs) This unique learn-by-doing course is offered in lieu of a project, portfolio, or thesis for candidates for the M.S. in Advanced Data Analytics. Requires a significant project about which students periodically report, highlighting the interdisciplinary nature of their findings and its relevance to their interests and/or career goals.
• Introduction to Data Analytics (3 hrs) Introduction to fundamental concepts of data science with a focus on applications of data science methods.

Program Format

• On-campus and online formats available.
• Est. time to complete: 1-2 years.
• Credit Hours: 30.

Related Programs

• Data Science M.S.
• Business Analytics Master's
• Business Analytics MBA

Areas of Study

• Business & Industry
• Data Analytics & Information
• STEM

Location

• UNT at Frisco
• Main campus in Denton

Toulouse Graduate School

• Advanced Data Analytics
• Hickory Hall, Room 152

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