MSc Data Analytics (with Placement)
Course Overview
This Master's in Data Science is specifically designed for international students, combining advanced academic study with a 6-month practical work placement to provide 18 months of comprehensive training. The course equips graduates with the cutting-edge skills in statistics, data mining, and big data technologies needed to meet the soaring global demand for data specialists. You will learn to transform complex data into actionable insights and solutions for a wide range of industries.
Key Program Highlights
- Includes an exclusive 6-month work placement for invaluable practical, experiential learning
- Curriculum focused on high-demand areas: statistics, data mining, big data systems, and data visualization
- Designed to address the 243% projected growth in specialist big data roles over the next five years
- Prepares graduates for diverse careers in finance, consulting, pharmaceuticals, government, and more
- Develops critical skills to evaluate emerging technologies and solve complex, real-world data problems
Course Overview
This Master's in Data Science is specifically designed for international students, combining advanced academic study with a 6-month practical work placement to provide 18 months of comprehensive training. The course equips graduates with the cutting-edge skills in statistics, data mining, and big data technologies needed to meet the soaring global demand for data specialists. You will learn to transform complex data into actionable insights and solutions for a wide range of industries.
Key Program Highlights
- Includes an exclusive 6-month work placement for invaluable practical, experiential learning
- Curriculum focused on high-demand areas: statistics, data mining, big data systems, and data visualization
- Designed to address the 243% projected growth in specialist big data roles over the next five years
- Prepares graduates for diverse careers in finance, consulting, pharmaceuticals, government, and more
- Develops critical skills to evaluate emerging technologies and solve complex, real-world data problems
Requirements
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