The Year in Data Analytics is a one-year, self-contained programme which offers you a unique opportunity to develop key analytical and specialist data science skills, ready for your future career. <\/p>\n
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Data plays a significant role in today\u2019s world, from predicting your shopping habits and personalising your social media feeds, to determining your eligibility to buy a home and influencing our accessibility to healthcare, social care and much more.<\/p>\n
Knowing how to understand different datasets is a key skill employers are looking for and demonstrating your knowledge and skills can open many doors for you in your chosen career.<\/p>\n
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The skills you will gain from studying the Year in Data Analytics include:<\/p>\n
Data collection and handling<\/strong> <\/p>\n The Year in Data Analytics can be taken either in between Stage 2 and Stage 3 or at the end of Stage 3.<\/p>\n When studying the Year in Data Analytics, you will primarily be taught within the School of Mathematics, Statistics and Actuarial Science<\/a> (SMSAS) with some modules taught by the School of Sociology, Social Policy and Social Research<\/a> (SSPSSR). Upon completion of the year, you will return to your home School where you will complete your registered degree.<\/p>\n Successful completion of both the Year in Data Analytics and your registered degree will allow you to graduate with your current degree title augmented with the words \u2018with a Year in Data Analytics\u2019.<\/p>\n <\/p>\n The Year in Data Analytics is open to undergraduate students at the University of Kent who are currently in Stage 2 or Stage 3 of their degree programme.<\/p>\n Applicants will need to have achieved grade B or above in GCSE Mathematics (or equivalent) and an average of over 50% in Stage 1 of their current degree programme.<\/p>\n Students from the School of Mathematics, Statistics and Actuarial Science and the School of Psychology are not eligible to take the Year in Data Analytics.<\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" The Year in Data Analytics is a one-year, self-contained programme which offers you a unique opportunity to develop key analytical and specialist data science skills, … Read more<\/a><\/p>\n","protected":false},"author":47358,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.kent.ac.uk\/year-in-data-analytics\/wp-json\/wp\/v2\/posts\/66"}],"collection":[{"href":"https:\/\/blogs.kent.ac.uk\/year-in-data-analytics\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.kent.ac.uk\/year-in-data-analytics\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/year-in-data-analytics\/wp-json\/wp\/v2\/users\/47358"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/year-in-data-analytics\/wp-json\/wp\/v2\/comments?post=66"}],"version-history":[{"count":25,"href":"https:\/\/blogs.kent.ac.uk\/year-in-data-analytics\/wp-json\/wp\/v2\/posts\/66\/revisions"}],"predecessor-version":[{"id":227,"href":"https:\/\/blogs.kent.ac.uk\/year-in-data-analytics\/wp-json\/wp\/v2\/posts\/66\/revisions\/227"}],"wp:attachment":[{"href":"https:\/\/blogs.kent.ac.uk\/year-in-data-analytics\/wp-json\/wp\/v2\/media?parent=66"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/year-in-data-analytics\/wp-json\/wp\/v2\/categories?post=66"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/year-in-data-analytics\/wp-json\/wp\/v2\/tags?post=66"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nYou will gain an understanding of the available sources of data and how to manipulate them.<\/p>\n\n
\nYou will learn how to specify, design and construct appropriate analytical frameworks.<\/li>\n
\nYou will develop an awareness of how to implement data analysis methods and tools, and how to assess them in terms of suitability, assumptions and accessibility within a given problem.<\/li>\n
\nYou will develop critical and analytical approaches to solve real-world and current problems.<\/li>\n
\nYou will have the opportunity to present technical problems and communicate their solutions to a range of audiences, enhancing your written and oral communication skills.<\/li>\n
\nYou will work in groups to complete tasks, assessments and projects.<\/li>\n<\/ul>\n<\/h3>\n
How does the Year in Data Analytics fit into my degree?<\/strong><\/span><\/h2>\n
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Who can study the Year in Data Analytics?<\/strong><\/span><\/h2>\n
\nSee also:<\/h3>\n
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