Texas Woman’s University MS in Data Science and Informatics

Texas Woman’s University offers a 30-credit Master of Science in Data Science and Informatics with a Data Science/Data Analytics emphasis. The program combines a computer science core with focused work in statistical programming, data warehousing, machine learning, artificial intelligence, data mining, and visualization.

TWU states that students can complete coursework in about 18 months. The MS in Data Science and Informatics is available fully online or in a hybrid format, with full-time and part-time study options.

TWU MS in Data Science and Informatics Quick Facts

SchoolTexas Woman’s University
LocationDenton, Texas
DegreeMaster of Science in Data Science and Informatics
EmphasisData Science/Data Analytics
Credits30, plus up to 6 proficiency credits if required
FormatOnline or Hybrid
Estimated tuition$9,690 Texas resident; $22,530 nonresident, before mandatory fees
LengthAbout 18 months
Final requirementInterdisciplinary capstone

Curriculum

The official Data Science/Data Analytics degree plan requires 12 credits of computer science core courses and 18 credits in the emphasis area. The required core includes:

  • CSCI 5103 Fundamentals of Data Science and Informatics
  • CSCI 5123 Foundations of Information Systems Security
  • CSCI 5573 Advanced Data Science and Data Analytics
  • CSCI 5673 Big Data: Management, Access, and Use

The Data Science/Data Analytics emphasis adds six required courses:

  • CSCI 5443 Human-Computer Interface or CSCI 5513 Data and Information Visualization
  • CSCI 5663 Statistical Programming
  • CSCI 5803 Data Warehousing
  • CSCI 5823 Modeling Machine Learning and Artificial Intelligence
  • CSCI 5833 Data Mining and Analysis
  • CSCI 5923 Capstone in Informatics

This curriculum gives students direct training in data pipelines, analytics, modeling, machine learning, AI, and the communication of results. The plan has little elective flexibility because all 30 degree credits fill the core and emphasis requirements.

Credits and Program Length

The degree requires a minimum of 30 graduate credits. TWU says students can complete the coursework in about 18 months, though individual schedules may vary. Students can enroll full time or part time.

Applicants who lack an informatics background may need proficiency coursework. The program coordinator may require CSCI 5003 Information Systems Infrastructure and Programming and CSCI 5203 Database Systems. These courses can add up to six credits beyond the 30-credit degree.

Tuition and Cost

For fall 2026 through summer 2027, TWU lists graduate tuition of $323 per credit for Texas residents and $751 per credit for nonresidents. Multiplying those rates by 30 credits gives estimated tuition of $9,690 for residents and $22,530 for nonresidents. These figures exclude mandatory fees and any required proficiency courses.

TWU also charges a University Services Fee of $81 per credit and a graduate Program Fee of $25 per credit. Those two charges add $3,180 across 30 credits, bringing the estimated subtotal to $12,870 for residents and $25,710 for nonresidents. Students also pay a Student Services Fee and $284 in listed semester fees, so the final program cost depends on the number of enrolled terms. Review the current TWU tuition and fee schedule before enrolling.

Admissions

Applicants need a bachelor’s degree and a minimum 3.0 GPA in the final 60 undergraduate credit hours. TWU lists fall and spring entry, with published deadlines of August 1 for fall admission and December 10 for spring admission.

Graduate applicants submit the university application and official transcripts. The application fee is $50 for domestic applicants and $75 for international applicants. International transcripts require an evaluation from a NACES or AICE member service. Applicants should check the program application for any current supplemental document requirements.

Machine Learning and AI Focus

TWU’s degree has a meaningful machine learning and AI connection. The Data Science/Data Analytics emphasis requires Modeling Machine Learning and Artificial Intelligence, Advanced Data Science and Data Analytics, and Data Mining and Analysis. Statistical programming, data warehousing, big data management, and visualization support the full analytics workflow.

This is broader than a dedicated AI master’s because the program also covers informatics, information systems security, human-computer interaction, and organizational uses of data. It fits students who want applied data science training with one required course focused directly on machine learning and AI.

Online and Hybrid Format

TWU describes the program as available 100% online or through a hybrid combination of online and in-person classes. Students may study full time or part time. The online option makes the program accessible to working students who do not live near Denton.

Capstone

Every student completes CSCI 5923 Capstone in Informatics in the final semester. TWU describes the capstone as an applied project that may involve a community organization and use data to improve processes, systems, or decision-making. The published Data Science/Data Analytics plan does not require a thesis.

Who Is This Program Best For?

The program is a good fit for students who want a short, flexible data science master’s with required machine learning and AI coursework. It may appeal most to Texas residents because the base tuition estimate is under $10,000 before fees. Students from computing, analytics, health, business, or other data-heavy fields may also value the interdisciplinary informatics focus.

Students who want a research thesis or a curriculum centered mainly on deep learning, computer vision, or natural language processing may prefer a dedicated AI or computer science program. TWU places more weight on applied analytics, information management, and an interdisciplinary capstone.

Bottom Line

Texas Woman’s University offers an accessible 30-credit MS in Data Science and Informatics that can be completed online or in a hybrid format in about 18 months. The Data Science/Data Analytics emphasis includes required machine learning, AI, data mining, statistical programming, and big data courses. Its strongest advantages are the short completion time, online option, applied capstone, and estimated resident tuition of $9,690 before mandatory fees.