COURSE CURRICULUM

The Data Science degree at the University of North Texas offers strong academic preparation, professional exposure, and flexible learning opportunities designed to support students entering one of the fastest-growing and most in-demand fields in today’s job market. One of the key highlights of the program is its engagement with the broader academic and professional community through special lectures hosted by the College of Information and the department, where renowned scholars share insights and perspectives on emerging trends in data science. Students and faculty are also actively involved in respected professional organizations such as the iSchools consortium, the American Library Association, the Association for Information Science and Technology, and the Knowledge and Information Professional Association, helping students stay connected with current developments in the field. The program benefits from a strong career outlook, with data science consistently ranked among the best job opportunities globally, including recognition by Glassdoor as one of the top careers in recent years. Students also receive support through scholarships and financial aid opportunities that reward academic excellence and creative achievement within the Department of Information Science. In addition, the UNT Career Center provides valuable services such as internship guidance, career counseling, and job placement support, helping students gain practical experience and transition smoothly into the workforce. The program also offers flexible learning formats, including online, blended, and face-to-face classes, allowing students to choose study options that fit their schedules and learning preferences while being taught by experienced faculty. Graduates of the program are prepared for a wide range of careers in both public and private sectors, including roles such as data analyst, data scientist, business intelligence developer, machine learning specialist, data architect, and enterprise architect. The curriculum includes courses such as Principles of Data Science and Analytics, Data Visualization, Data Modeling and Data Warehousing, Statistical Methods for Data Science and Analysis, Data Analysis and Knowledge Discovery, and Fundamentals of Information Technology Security, all designed to build strong analytical, statistical, and technical skills needed to manage and interpret complex data systems effectively.