- AcademicsDegree TypeLocations
- Admissions
- Tuition & Aid
- Student Life
- About UNT
- Research
- Athletics
- Giving
Data Science Master's
Master of Science (M.S.)
Program type:
Major
Format:
Hybrid
Est. time to complete:
2 years
Credit Hours:
36
Explore data-driven methods and tackle problems with evidence-based solutions.
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.
Want more info?
We're so glad you're interested in UNT! Let us know if you'd like more information and we'll get you everything you need.
Request More InfoWhy 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 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.
Marketable Skills
- Computer programming
- Database design and data modeling
- Applied statistical analysis and machine learning
- Data mining and text analysis
- Data visualization and presentation
Data Science Master's 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. We are a member of the
prestigious iSchools organization, a consortium of Information Schools dedicated to
advancing the information field.
Research labs and centers on campus provide the resources necessary to conduct in-depth
studies in your field. These include the UNT College of Information's Data Innovation
Lab, the Intelligent Information Access Lab, the Visual Thinking Lab, and others.
The Department of Information Science provides limited travel support to select students
who are in good academic standing. These travel grants are offered to support the
costs of travel to conferences, seminars, workshops and professional meetings.
Collaborate with other students on projects and share ideas by joining the UNT Data
Science Student Organization. Network and gain insight into data science-related careers
through events such as Data Science Day.
Instruction is offered in a variety of formats, including face-to-face, online and
blended, that allows you to balance classes with full-time or part-time employment.
Data Science Master's Courses You Could Take
Principles and Techniques for Data Science (3 hrs)
Covers comprehensive and practical approaches to research, including specific methods
of analysis for students to develop advanced research skills in the general areas
of descriptive statistics, exploratory data analysis and confirmatory data analysis.
Includes methods to better communicate the results of the research.
Applied Machine Learning for Data Scientists (3 hrs)
Introduction to concepts of machine learning and widely adopted machine learning algorithms
including regression, clustering, support vector machine, and neural network. Defines
complex modern machine learning architectures in Google TensorFlow and Keras frameworks
using Python programming language.
Data Visualization for Analytics (3 hrs)
Insightful displays of complex, large and possibly unstructured quantitative and qualitative
data. Data visualization for analytics goes beyond traditional static graphs and charts
by seamlessly connecting data analysis, data-based optimization and data presentation
to create visualizations.
Usability and User Experience Metrics (3 hrs)
Focuses on the usability of web-based information systems and the significance of
user experience (UX) in the lifecycle of information system development. Students
learn a set of key techniques (heuristic evaluation, persona development, card-sorting,
and usability testing) for formative and summative usability evaluation of web-based
applications.
Contemporary Issues in Workforce Learning and Performance (3 hrs)
Prepares students to be informed consumers of data and information from the areas
of Human Resource Development (HRD) and career technical education (CTE) in workforce
learning and performance (WLP) settings.
Fundamentals of Data Analytics (3 hrs)
Provides an introduction to key concepts of data science, data analysis, data acquisition
and management, statistical analysis software and programming, communicating and operationalizing
analysis results, and data ethics. Covers the data lifecycle process and basic concepts
required for data science and analytical tasks, including smart processing and technologies
such as computational methods.
Learn More About UNT
Watch this video to learn more about what makes UNT great!
