Overview
The M.Sc. in Advanced Data Analytics at the University of North Texas provides students with the comprehensive skills required to excel in the rapidly expanding field of data science. This programme integrates advanced statistical methods with practical business applications to ensure graduates can manage complex datasets effectively. By combining theoretical knowledge with real-world case studies, the curriculum prepares professionals for high-level roles in various industries.
Why Advanced Data Analytics at University of North Texas?
The University of North Texas offers a flexible learning environment with core courses available in accelerated eight-week sessions. Students can choose to complete their degree in as little as twelve months through the accelerated online format or opt for a traditional sixteen-week semester experience at the Denton or Frisco campuses. The programme is highly customisable, allowing learners to select specialised concentrations such as Health Data Analytics, Management, Statistics, or Digital Retailing to align with their specific career objectives.
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
The curriculum focuses on the technical and analytical skills necessary for deriving actionable insights from large volumes of information. Modules may include:
- Data Analytics
- Data Mining
- Large Data Visualization
- Big Data Analytics
- Analytics Capstone
- Data Science Methods
Careers with Advanced Data Analytics
Graduates of the Advanced Data Analytics programme are equipped to enter a job market where data expertise is increasingly indispensable for organisational growth. The skills acquired during the course enable professionals to identify data features, build predictive models, and deploy cloud-based tools for data wrangling. These competencies are highly valued across multiple sectors, including business, healthcare, and technology, where experts are needed to interpret data to increase profits and mitigate risks. Potential career paths involve roles focused on business intelligence, data architecture, and strategic data communication.
Programme Structure
Courses included:
- Data Analytics
- Data Mining
- Large Data Visualization
- Big Data Analytics
- Analytics
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before , National
- Apply before , International
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- Starting
- Apply before , National
- Apply before , International
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Language
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Credits
Delivered
Campus Location
- Denton, United States
Disciplines
Data Analytics View 397 other Masters in Data Analytics 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.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Advanced Data Analytics.
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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