Masters Student
Introduction
Masters Student is a Masters program taught at University of North Texas, USA. The program is offered in campus-based modes with full-time options.
The University of North Texas offers an online M.S. Data Science program focused on designing and constructing processes for data production, modeling, and analysis. Students study how the insights from data science support predictive models for decision-making and improve performance for businesses, governments, and organizations.
The program requires a minimum of 36 credit hours across 12 courses. Coursework covers industry-relevant areas including Statistical Analysis, Natural Language Processing, Computational Linguistics, Information Retrieval, Information Visualization, Social Network Analysis, and Text Analytics and Data Mining. Online students can create virtual study groups, review course material, share resources, and use the UNT Data Science Student Organization to collaborate.
Modules
- Statistical Analysis
- Natural Language Processing
- Computational Linguistics
- Information Retrieval
- Information Visualization
- Social Network Analysis
- Text Analytics and Data Mining
Admission Requirements
The minimum requirements for admission in Masters Student 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 Student.
Note: Please check the university website in the link below.
Courses Units
Please check detail of study units at https://online.unt.edu/news/what-to-expect-as-an-online-data-science-masters-student.html
More Information
- Data scientist
Scholarships
80 fully funded scholarships are listed for USA. See USA scholarships.