The Computing for Data Science MSc course at Bangor University is a full-time postgraduate program that equips students with the necessary skills and knowledge in the specialized field of data science. The course aims to develop students' understanding of the complexities of data while teaching computing techniques to decipher, analyze, and interpret this data effectively. Course Content: The course blends theory and practical work, covering essential areas such as machine learning, high-performance computing, and mathematics for computer graphics and vision, allowing students to gain in-depth skills and acumen in data science.Key Modules: Key areas of study include High Performance Computing in C/C++, Mathematics for Computer Graphics and Vision, Computing for Data Science, Image Processing, Machine Learning, Scientific Data Modelling and Visualisation, and a final project/dissertation.Future Careers: The course equips students with a skill set that’s in high demand in sectors such as business, healthcare, science, social science, and the arts. Graduates can potentially excel in roles such as data analysts, data engineers, machine learning engineers, statisticians, and strategic analysts.For more information on this course, please visit the official course page.
The Computing for Data Science MSc course at Bangor University is a full-time postgraduate program that equips students with the necessary skills and knowledge in the specialized field of data science. The course aims to develop students' understanding of the complexities of data while teaching computing techniques to decipher, analyze, and interpret this data effectively.
Course Content: The course blends theory and practical work, covering essential areas such as machine learning, high-performance computing, and mathematics for computer graphics and vision, allowing students to gain in-depth skills and acumen in data science.
Key Modules: Key areas of study include High Performance Computing in C/C++, Mathematics for Computer Graphics and Vision, Computing for Data Science, Image Processing, Machine Learning, Scientific Data Modelling and Visualisation, and a final project/dissertation.
Future Careers: The course equips students with a skill set that’s in high demand in sectors such as business, healthcare, science, social science, and the arts. Graduates can potentially excel in roles such as data analysts, data engineers, machine learning engineers, statisticians, and strategic analysts.
For more information on this course, please visit the
official course page.