MS Data Science

UNT's Data Science master's is designed to address the current market needs for highly skilled data science and data analytics professionals. The program is designed to help graduates gain skills and experiences in designing, implementing and transforming data sets into actionable knowledge. It provides students with the skills and knowledge needed to develop competencies in managing data science and analytics projects and work with data analytics tools and technologies. The program will help educate a new generation of information professionals capable of taking a leadership role through connecting the dots and using data to support strategic initiatives within an organization.

The Master of Science with a major in Data Science is designed to address the current market needs for highly skilled data science and data analytics professionals. The program is designed to help graduates gain skills and experiences in designing, implementing and transforming data sets into actionable knowledge. It provides students with the skills and knowledge needed to develop competencies in managing data science and analytics projects and work with data analytics tools and technologies. The program will help educate a new generation of information professionals capable of taking the leadership role through connecting the dots and using data to support strategic initiatives within the organization.

The program focuses on relevant areas including:

• Statistical analysis
• Natural language processing
• Computational linguistics
• Information retrieval
• Information visualization
• Social network analysis
• Text analytics and data mining

As a student in the Data Science program, you'll have the flexibility to choose from a range of courses that are meant to challenge and prepare you for your career in data science. The program in Denton, Texas offers students the flexibility to select a combination of face-to-face, online and blended courses. With guidance from an advisor, students will be able to select classes to suit their interests and career focus.

The degree requires a minimum of 36 credit hours for a total of 12 courses. Students will take 3 core courses that will help provide a foundation for data science and data analytics, 5 courses of guided electives that focus on advanced topics in data science and analytics and 3 general electives. A 3-credit hour practicum/internship or a research project is also required to help put what you have learned into practice.