MSc Applied Data Science
Course Overview
This MSc Applied Data Science is a conversion course designed for students from non-mathematical backgrounds, such as the humanities, business, or life sciences, who wish to launch a career in the digital economy. It provides a comprehensive foundation in essential data science methods, balancing theoretical concepts with practical application through real-world case studies. The curriculum is built to equip you with in-demand skills in programming, AI, and statistical learning, preparing you for a wide range of industries.
Key Program Highlights
- Designed for students without a prior background in mathematics or programming
- Master practical skills in the R programming language, SQL, and text analytics
- Learn to apply AI, statistical learning, and modelling to real-world problems
- Benefit from industry collaborations and placement opportunities with partners like BT and Essex County Council
- Choose from a range of interdisciplinary projects across business, linguistics, psychology, and life sciences
Course Overview
This MSc Applied Data Science is a conversion course designed for students from non-mathematical backgrounds, such as the humanities, business, or life sciences, who wish to launch a career in the digital economy. It provides a comprehensive foundation in essential data science methods, balancing theoretical concepts with practical application through real-world case studies. The curriculum is built to equip you with in-demand skills in programming, AI, and statistical learning, preparing you for a wide range of industries.
Key Program Highlights
- Designed for students without a prior background in mathematics or programming
- Master practical skills in the R programming language, SQL, and text analytics
- Learn to apply AI, statistical learning, and modelling to real-world problems
- Benefit from industry collaborations and placement opportunities with partners like BT and Essex County Council
- Choose from a range of interdisciplinary projects across business, linguistics, psychology, and life sciences
