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MSc Data Science

  • DeadlineStudy Details:

    12 months full-time

    24 months part-time

Course Description

The MSc Data Science provides training in data science methods, emphasising statistical perspectives. You will receive a thorough grounding in theory, as well as the technical and practical skills of data science.

Your theoretical learning will be at a high mathematical level, while the technical and practical skills you will gain will enable you to apply advanced methods of data science and statistics to investigate real world questions.

The compulsory courses on the MSc Data Science programme will provide you with comprehensive coverage of some fundamental aspects of data, computational techniques and statistical analysis. You will then choose courses from a number of options ranging from Articifical Intelligence and Deep Learning, Bayesian Machine Learning and Distributed Computing for Big Data, to Financial Statistics and Statistical Computing. The programme will combine traditional lectures with computer lab sessions, in which you will work with data to complete hands-on exercises using programming tools.

Entry Requirements

Upper second class honours (2:1) degree or equivalent in a relevant discipline, including a substantial amount of mathematics.

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Fees

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Programme Funding

The School recognises that the cost of living in London may be higher than in your home town or country, and we provide generous scholarships each year to graduate students from the UK, EU and overseas.

This programme is eligible for needs-based awards from LSE, including the Graduate Support Scheme, Master’s Awards, and Anniversary Scholarships.

Student Destinations

Data scientists are much in demand across industry, including a variety of Internet online service companies, marketers, banks, investment management, and other financial companies.

Data scientist positions involve a wide range of responsibilities; such as conducting exploratory data analysis, applying statistical methodologies, deriving business insights from data, partnering with company executives, product and engineering teams to solve problems, identify trends and opportunities, inform, influence, support, and execute product decisions and launches.

Module Details

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London School of Economics and Political Science Campus

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