See our English language requirements page. You may also have to provide evidence of your English proficiency, although you do not need to provide this at the time of your application to LSE. academic achievement (including predicted and achieved grades) We carefully consider each application on an individual basis, taking into account all the information presented on the UCAS application form, including your: The programme guidance below should be read alongside our general entrance requirements information. We welcome applications from all suitably qualified prospective students and want to recruit students with the very best academic merit, potential and motivation, irrespective of their background. Usual standard offers are intended only as a guide, and in some cases applicants will be asked for grades which differ from this. This means that even if you are predicted or if you achieve the grades that meet our usual standard offer, this will not guarantee you an offer of admission. Competition for places at LSEĬompetition for places at the School is high. Good marks for any quantitative courses at GCSE level are also desirable.įind out more about A-level subject combinations.The programme is highly quantitatively oriented, and quantitatively oriented A-level courses such as Physics or Chemistry form good preparations for the programme but are not required.Mathematics at A-level or equivalent is required, and Further Mathematics is highly desirable.**Read our UG Admissions Information to learn more about contextual admissions. *Read our A-level subject combinations information below. We also consider your AS grades, if available.ģ8 points overall, with 766 in higher level subjects, including higher level Mathematics.ģ7 points overall, with 666 in higher level subjects, including higher level Mathematics. We also consider your overall GCSE subject profile GCSE English and Mathematics grades should also be no lower than B (or 6) We accept a wide range of other qualifications from the UK and from overseas.Ī strong set of GCSE grades including several at A (or 7) and A* (or 8-9) Visit the Department of Statistics Virtual Undergraduate Open Day page to find out more about studying in the department, access virtual resources and watch event recordings from our Virtual Undergraduate Open Day.īelow we list our entry requirements in terms of GCSEs, A-Levels (the entry requirements should be read alongside our A-level subject combinations information) and the International Baccalaureate (IB) Diploma. Acquire transferable skills in some or all of: presentations, library and internet research, report writing, information technology (IT) expertise and the use of statistical software.Be skilled in acquiring new understanding and expertise.Be able to understand, formulate and use quantitative models arising in the social sciences.Be able to formulate and develop mathematical arguments in a logical manner.Be skilled in making formal and informal inferences on the basis of statistical data.Depending on your course choices you could also acquire knowledge of advanced topics in mathematics and statistics. Have a broad range of knowledge useful in data-analytic contexts, for example, topics at an intermediate or advanced level in economics and finance.Be competent in computer programming in data-analytic contexts.Be able to use and understand classical and modern data-analytics techniques, statistical machine learning and artificial intelligence techniques.Learn about acquiring, querying and understanding the basic properties of data, analysis, how to extract insights from data and how to report the results.Gain extensive first-hand experience of carrying out typical workflows of data analytics.By the end of the programme BSc Data Science students will: The programme also allows you to choose to study a specialist area according to your developing interests and career plans.Īs a student on the BSc Data Science you’ll gain practical skills, theoretical knowledge and contextual information that will be excellent preparation quantitative careers in a range of industries. The BSc Data Science will prepare you for further study, or for professional and managerial careers, particularly in areas requiring the application of quantitative skills. The programme uses a rigorous approach, has a mathematical focus and involves applying data science to the social sciences. Our BSc Data Science aims to provide a programme of study that combines data science, machine learning, statistics and mathematics. BSc Data Science Discover the BSc Data Science programme
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