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Avila University Arizona
United States
Post Graduate
$27,532/year (approx)
24 months
January, March, May and August
Bachelor's degree from an accredited institution. Minimum cumulative GPA of 2.75/4.0. Provisional admission available for GPA 2.50- 2.74 (must achieve 3.0 GPA in the first 9 credits). Official transcripts or transcript evaluation. English proficiency (TOEFL iBT 75+, IELTS 6.0, Duolingo 105+, PTE 50+, etc.). Statement of Finance, passport, and visa documentation.
Lead organizational decision-making with this Master of Science in Technology Management: Data Science program, designed to equip you with a strong foundation in data science and the leadership skills essential for driving team success in today’s data-driven industries.
This program emphasizes: -Leadership and project management -Leveraging data for strategic decision-making -Data visualization and storytelling
By the end of the program, you’ll be able to: -Understand concepts like data mining, cloud computing, big data analytics, and statistical analysis. -Apply business intelligence strategies and statistical techniques to support data-driven decision-making. -Communicate complex data insights to stakeholders using data visualization. -Uphold ethical standards in data management, with a focus on privacy and security. -Lead interdisciplinary teams to successfully execute projects on time.
Avila University Arizona Campus offers a globally recognized MSc in Technology Management: Data Science designed to prepare students for the rapidly evolving data economy. Located in Goodyear, just 20 minutes from downtown Phoenix, students benefit from a strategic location near Arizona’s expanding technology and business sectors, modern learning facilities, and comprehensive support services for international students. The program develops expertise in data science, statistical analysis, machine learning, data visualization, and business intelligence. Graduates gain the skills to analyze complex datasets, drive data-informed decision-making, and pursue careers in data science, analytics, technology, consulting, and business strategy.
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