Masters/MSc Data Science

at University of Birmingham

• Understand how to develop and apply algorithms in ways that are responsible, ethical, and compliant with legal standards, preparing you for the challenges faced by commercial and governmental organisations.
• Gain proficiency in programming and data management skills, enabling you to collect, store, and manipulate large datasets effectively.
• Learn advanced methods for analysing data and uncovering meaningful patterns, equipping you with the tools needed to derive insights from complex data sets.
• Develop the ability to visualise data effectively, transforming large and complex datasets into clear, actionable information for decision-makers.

Modules 

• Algorithms for Data Science - 20 credits
• Current Topics in Data Science - 20 credits
• Data Science Group Project - 20 credits
• Programming for Data Science - 20 credits
• Data Science Project - 60 credits
• Storing and Managing Data - 20 credits
• Visualisation - 20 credits

Important Dates

The programme begins in September 2024. Prospective students should regularly check the university's website for application updates. Alternatively, they can apply through UCAS.

• Bachelor's degree holders are generally required to have achieved 55% - 60% or higher, equivalent to a UK 2:1, in any subject. 
• Additionally, if your first degree is not in Mathematics, you should have obtained a Grade A (or above) in A Level Mathematics or its equivalent.
• IELTS: 6.5
• TOEFL: 88

The Masters/MSc Data Science fees are £31,410/Yr . For detailed information on tuition fees and various financial assistance options, including loans, scholarships, grants, and instalment plans, please visit the university's website. This will help you make an informed decision that aligns with your career goals and financial circumstances.

The demand for professionals skilled in data science, machine learning, and big data analytics is high and continues to grow rapidly across sectors. This master's programme equips graduates with the technical expertise and problem-solving abilities to pursue rewarding careers in data-driven roles within organisations that value data-informed decision making.