Overview
The M.Sc. in Data Science at University of North Texas is a comprehensive postgraduate programme designed to meet the rising demand for expert data analytics professionals. Students engage with evidence-based solutions and data-driven methods to transform complex datasets into actionable knowledge for various organisations. This curriculum prepares a new generation of information leaders capable of supporting strategic initiatives through advanced technical competency.
Why Data Science at University of North Texas?
Students benefit from the university's membership in the prestigious iSchools organisation, a consortium dedicated to advancing the information field globally. The College of Information provides access to specialised facilities, including the Data Innovation Lab, the Intelligent Information Access Lab, and the Visual Thinking Lab. These resources allow for in-depth research and practical application of data science theories in a supportive academic environment.
The programme offers significant flexibility, allowing learners to choose from face-to-face, online, or blended course formats to suit their professional schedules. Beyond the classroom, the UNT Data Science Student Organization facilitates networking and collaboration through events like Data Science Day. Additionally, the department may provide limited travel support for students to attend professional seminars and international workshops.
Tuition Fee Breakdown
- International fee: USD 16404 per year
- National fee: USD 16404 per year
- Local fee: USD 8700 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
Modules may include:
- Data Science
- Applied Machine Learning for Data Scientists
- Data Visualization for Analytics
- Usability and User Experience Metrics
- Contemporary Issues in Workforce Learning and Performance
- Data Analytics
- Statistical Analysis
- Natural Language Processing
- Information Retrieval
Careers with Data Science
Graduates are prepared for leadership roles as information professionals who can manage complex data analytics projects across diverse industries. The programme develops marketable skills in computer programming, database design, and applied machine learning, which are essential for modern data-centric careers. Students often pursue roles focused on data mining, text analysis, and the presentation of quantitative insights to stakeholders.
Programme Structure
Courses included:
- Statistical analysis
- Natural language processing
- Computational linguistics
- Information retrieval
- Information visualization
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
- Starting
- Apply before , International
- Apply before , National
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Language
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Credits
Delivered
Campus Location
- Denton, United States
Disciplines
Data Science & Big Data View 470 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Current résumé with work and academic experience
- Transcript of bachelor's degree from an accredited institution
- Two reference forms or letters of recommendation
Tuition Fees
-
International Applies to you
Applies to youNon-residents16404 USD / year≈ 16404 USD / year - Out-of-State16404 USD / year≈ 16404 USD / year
-
Domestic
Applies to youIn-State8700 USD / year≈ 8700 USD / year
Living costs
Denton
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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