Applied Statistics with Data Science (online) University of Strathclyde

Overview

The online MSc in Applied Statistics with Data Science at the University of Strathclyde is a unique conversion course tailored for individuals from diverse academic backgrounds. This programme equips students with essential skills in statistics and data analysis, even for those who have not previously studied these subjects. The course is structured to support those who are employed full-time or have other responsibilities, allowing them to engage with the material at their convenience without the need for synchronous attendance.

Strathclyde is renowned for its strong emphasis on employability and industry relevance. The university's partnerships with various sectors ensure that the curriculum remains aligned with current research and industry needs, particularly in fields such as population health, finance, and business analytics. The faculty comprises experienced professionals who bring real-world insights into the classroom, enhancing the learning experience. The programme is accredited by the Royal Statistical Society, which adds further value to the qualification.

The tuition fee for both domestic and international students is £5,600 per year. This fee structure applies to the entire duration of the course, whether pursued over two or three years. For those interested in standalone modules, the cost is £847 per 10-credit module. Visit the Fees and Funding section for a breakdown in your local currency.

Throughout the course, students will engage in a comprehensive curriculum that includes:

• Foundations of Probability & Statistics (20 credits)
• Data Analytics in R (20 credits)
• Statistical Modelling & Analysis (20 credits)
• Big Data Tools & Techniques (10 credits)
• Big Data Fundamentals (10 credits)
• Data dashboards with RShiny (10 credits)
• Research Project (60 credits)
• Elective modules, such as Quantitative Risk Analysis and Medical Statistics

Students will develop a robust understanding of statistical methods, data visualisation, and the use of programming languages like Python and R, which are pivotal in today's data-driven landscape.

Graduates of this programme are well-prepared for various roles in sectors such as finance, healthcare, and government. Typical career paths include positions as statisticians, data analysts, software developers, and data scientists. Alumni have successfully secured roles in investment firms, pharmaceutical companies, and governmental organisations, reflecting the high demand for skilled professionals in statistical analysis and data science.