Masters with a Concentration in Advanced Data Analytics

Campus Masters Full Time
Delivery
Campus
Study mode
Full Time
Level
Masters

Introduction

Masters with a Concentration in Advanced Data Analytics is a Masters program taught at University of North Texas, USA. The program is offered in campus-based modes with full-time (2 years) options.

The University of North Texas offers an Interdisciplinary Studies Master’s with a concentration in Advanced Data Analytics (Master of Science). The concentration gives students understanding of fundamental concepts in contemporary data analytics methods, plus experience obtaining, wrangling, and learning from big data using machine learning and deep learning tools. Core courses focus on applying theory and tools to solve real-world problems in business, industry, and science.

The program is a 30 graduate credit hour degree across advanced data analytics and two other fields of study. Students work with an advisor to identify supporting fields and to complete an appropriate capstone experience. Classes can be taken in person at Frisco or Denton locations, or 100% online. Course content includes hands-on projects, such as data harvesting projects, visualization practice, and discovery and statistical learning software projects.

Modules

  • Harvesting, Storing and Retrieving Data
  • Large Data Visualization
  • Discovery and Learning with Big Data
  • Data Analytics I

Admission Requirements

The minimum requirements for admission in Masters with a Concentration in Advanced Data Analytics at University of North Texas for all applicants (Domestic or International) are:

  • program specific academic requirment set by University of North Texas.
  • English Language OR any other language requirments as set by University of North Texas as pre-requiste for admission in Masters with a Concentration in Advanced Data Analytics.

Note: Please check the university website in the link below.

Courses Units

Scholarships

80 fully funded scholarships are listed for USA. See USA scholarships.