MSc Data Science

at Northumbria University

• Gain a comprehensive understanding of Big Data technologies and cloud computing.
• Learn to address realistic Big Data challenges in various domains.
• Master principal machine learning methods and advanced database technologies.
• Utilise data visualisation tools and statistical approaches to present business data effectively.
• Integrate modern analytical and statistical methods for insightful data analysis.

Modules

• Research Methods and Project Management
• MSc Computer Science & Digital Technologies Project
• Big Data and Cloud Computing
• Principles of Data Science
• Advanced Databases

Important Dates

The programme begins every January. Prospective students should regularly check the university's website for updates on the application process. Although applications can be submitted via UCAS, it is crucial for students to have all necessary documents ready before applying.

• A minimum requirement of a 2:2 honours degree (or equivalent) in a quantitative field such as computer or information science, engineering, mathematics, statistics, or a related discipline (e.g., IT, software engineering). 
• Other academic qualifications, equivalent professional credentials, and/or pertinent work experience will be evaluated individually.
• International applicants must achieve a minimum overall IELTS (Academic) score of 6.5, with at least 5.5 in each individual component.

The MSc Data Science fees are £16,500/Yr . Please review the detailed fee breakdown provided on the university's website and consider the various financial options available to make an informed decision about your career path.

Graduates of the MSc Data Science programme at Northumbria University are well-prepared for a diverse range of career opportunities in the rapidly growing field of data science. With a strong foundation in data science principles, programming skills in Python and R, and practical experience in handling big data and cloud computing, graduates are well-equipped to excel in various sectors, including technology, finance, healthcare, and government.