Data Science University of Roehampton

Overview

The MSc in Data Science at the University of Roehampton offers a robust educational experience tailored to meet the demands of the evolving data landscape. This programme is not only designed to impart critical knowledge but also to enhance practical skills through hands-on learning and real-world applications.

The University of Roehampton is renowned for its commitment to student success and innovative teaching methods. With modern facilities, including a state-of-the-art media centre, students benefit from an environment that fosters creativity and collaboration. The university's strong industry connections provide students with valuable networking opportunities, enhancing their employability upon graduation. Additionally, Roehampton's focus on active blended learning ensures that students engage with the curriculum in a dynamic and interactive manner.

For international students, the tuition fee for the MSc Data Science programme is £17,325 per year. Domestic students can expect to pay £10,500 per year. Visit the Fees and Funding section for a breakdown in your local currency.

The MSc in Data Science encompasses a diverse range of modules that equip students with the necessary skills to excel in the field. The current syllabus includes:

• Mathematics for Data Science: Focuses on foundational mathematical concepts essential for data analysis and machine learning.
• Data Analytics: Teaches techniques for analysing datasets to derive meaningful insights and optimise processes.
• Data Visualisation: Explores the principles of visualisation design and the creation of interactive visual data presentations.
• Applications of Data Science: Reviews real-world applications and frameworks of data science across various industries.
• Machine Learning: Introduces machine learning techniques and their applications in data mining and ethical considerations.
• Deep Learning Applications: Discusses the significance of deep learning in modern technology and its practical applications.
• MSc Project: Allows students to undertake a substantial individual project, fostering independent research and practical application of skills.

The demand for data science professionals continues to grow across various sectors, including finance, healthcare, and technology. Graduates of this programme will be well-positioned to enter a competitive job market where their skills are highly sought after.

This programme includes an optional Professional Experience Year, providing students with the chance to gain invaluable work experience in the industry, further enhancing their employability.

Graduates of the MSc in Data Science can pursue a variety of career paths, including roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer, Statistician, and Quantitative Analyst. The programme's comprehensive curriculum prepares students for success in diverse industries, including FinTech, management consultancy, and healthcare.