MSc Data Science

at University of Roehampton

• The first part of the course covers foundational topics such as programming for data science, statistical methods, and database systems. 
• Students then move on to core data science subjects like machine learning, big data analytics, and data visualisation. 
• The programme also includes modules on advanced techniques such as natural language processing, deep learning, and predictive modelling. 
• Throughout the course, students gain practical experience through projects and a dissertation, allowing them to apply their skills to real-world datasets. 
• The curriculum is designed to keep pace with the latest developments in the rapidly evolving field of data science.

Course Modules

• Mathematics for Data Science
• Data Analytics
• Data Visualisation
• Machine Learning
• Data Engineering

Important Dates

The University of Roehampton will commence the application process prior to the intake period. Prospective students should make sure they have all required documents ready ahead of time. It's recommended to stay updated by consistently checking the university's website for information about forthcoming application opportunities. Furthermore, students can start their application process using UniScholars.

• Typically, candidates are expected to possess a second-class honours degree, with some programmes specifying a 2:1 requirement, obtained from an accredited university in the UK or abroad. 
• A 2:2 classification in STEM fields, particularly in computer science, mathematics, or statistics, is preferred for UK degrees.
• In the quest for high performance in the IELTS Academic exam, it's common for students to target an overall score of 6.0, making it essential that none of their section scores drops below 5.5.

The University of Roehampton charges £ 17,325/Yr to £ 16,750/Yr tuition fees for the MSc Data Science programme. Students should frequently access and examine the university's website, as this will help them stay up-to-date with any changes made to the fees associated with their programme of study.

With the increasing importance of data-driven decision-making across industries, graduates of the MSc Data Science programme are in high demand. They can pursue roles such as data scientist, data analyst, business intelligence analyst, machine learning engineer, or predictive modeller in sectors like finance, healthcare, marketing, e-commerce, and technology.