Students
Tuition Fee
Start Date
Medium of studying
Blended
Duration
2 years
Details
Program Details
Degree
Masters
Major
Data Analytics | Data Science | Applied Statistics
Area of study
Information and Communication Technologies | Mathematics and Statistics
Education type
Blended
Course Language
English
About Program

Program Overview


Data Science Master's

Master of Science (M.S.)


Program Type

  • Major

Format

  • Hybrid

Estimated Time to Complete

  • 2 years

Credit Hours

  • 36

The Data Science master's program is designed to address the current market needs for highly skilled data science and data analytics professionals. The program 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.


Requirements

  • 3 core courses
  • 5 guided electives
  • 3 general electives
  • 3-credit hour practicum/internship or research project

Marketable Skills

  • Computer programming
  • Database design and data modeling
  • Applied statistical analysis and machine learning
  • Data mining and text analysis
  • Data visualization and presentation

Program Highlights

  • Special lectures hosted by the college and the department feature renowned scholars who provide different perspectives and insights into the information science field.
  • The Department of Information Science is a member of key organizations and consortiums that provide unique research opportunities for our students.
  • Research labs and centers on campus provide the resources necessary to conduct in-depth studies in your field.
  • The Department of Information Science provides limited travel support to select students who are in good academic standing.
  • Collaborate with other students on projects and share ideas by joining the UNT Data Science Student Organization.

Courses

  • Principles and Techniques for Data Science (3 hrs)
  • Applied Machine Learning for Data Scientists (3 hrs)
  • Data Visualization for Analytics (3 hrs)
  • Usability and User Experience Metrics (3 hrs)
  • Contemporary Issues in Workforce Learning and Performance (3 hrs)
  • Fundamentals of Data Analytics (3 hrs)

Research Areas

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

Why Earn a Data Science Master's?

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 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.


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