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This course covers the fundamentals of Data Science including Big Data infrastructure, AI and statistical analysis and the mining of data. This report is the summary of the discussions held during the events . It gives you the chance to gain real life work experience, put your knowledge and skills into practice and impress your employer, which increases your chances of being offered a job at the end of your course. *Learners may register for the Introduction to Data Science Suite to get full access for all 5 courses, or register for individual course. Attention mechanism in Deep Learning, Explained, Get KDnuggets, a leading newsletter on AI,
Visit our academic team pages to find out more about our approach to teaching, our partners and research interests. All prospective students who wish to apply via Recognition of Prior Learning should initially contact the central Admissions and Enquiries Team who will be able to support you through the process. Your course fees cover the cost of studies, and include loads of great benefits, such as the use of our library, support from our expert Employability team, and free use of the IT equipment across our campuses. Make sure you check the entry requirements above carefully before you apply. A full-time student on average can expect to spend 1200 hours a year learning which will typically be broken down as follows: Year 1 - lectures/seminars/workshops (33%) and independent study (67%), Year 2 - lectures/seminars/workshops (38%) and independent study (62%), Year 3 - lectures/seminars/workshops (23%) and independent study (77%). This may be for year one entry, or beyond the beginning of a course where applicable, for example, into year 2. After you’ve applied, we’ll be sending you important emails throughout the application process so check your emails regularly, including your junk mail folder. The rapid emergence of ‘Big Data’ brings challenges: there is now an urgent need for graduates skilled in the sophisticated mathematical and computational techniques required for large-scale data analysis. For more advice and guidance, you can contact our Student Financial Support Service on telephone +44 (0)115 848 2494. The University allocates an annual printing and copying allowance of £20 depending on the course you are studying. They identify data patterns and use them to build "predictive models" before processing sample series of data sets into usable data with visualisation tools such as 3D graphics and animated charts. Report. This course prepares you for a wide range of career opportunities both inside and outside mathematics. Register now! You’ll be assessed throughout the year, and at the end of your placement you’ll write a reflective report and diary. Students in this part-time Multidisciplinary Masters will leverage knowledge across 9 academic schools and in consultation with faculty conduct a 3-6 month unique work-based project. To find out more about how the Online MBA with Data Analytics can help you embark on a data-led career, visit our website. Advertisement. From natural science, through the business, finance and retail sectors to social networking and mobile devices, computer-based systems now generate huge volumes of data almost continuously. Development of your understanding of deriving value from the data analytics functions is also a focus of this course. Friday 8.30 am – 4.30 pm, Nottingham Trent University
All essential field trip costs will be included in your course fees. Extend your commercial awareness by tackling industrial problems in a professional manner. Apply as early as you can so that you have time to prepare for your studies. A Programme to take you into the World of Data Analytics NTU_PageContent Serving as a bridge between the business and technology functions, business analysts play a critical role in guiding businesses through today’s environment of digital disruption, analysing and utilising data to drive digital transformation, redefine the customer experience and deliver profitable outcomes. You’ll also gain essential, transferable skills including report communication, team working and problem solving. Be honest, thorough and persuasive in your application. Equip yourself with practical skills in Python programming for the purpose of basic data manipulation and analysis. There are 2 types of programmes: by Coursework and Dissertation and by Research.After you have read the admission requirements and decided on the programme you wish to take, apply online for Research program or apply online for Coursework programme. They’ll also provide support while you’re in your place of work, whether that’s at home or abroad. Your personal statement is a really important part of your application. For more details about costs for additional print and copying required over and above the annual allowance please see the Printing, photocopying and scanning information on the Library website. If you're undertaking a placement year, you'll need to budget for accommodation and any travel costs you may incur whilst on placement. Subscribe to NTU Get the free Science|Business newsletter. Visit NTU Library Homepage. This bespoke course has been developed in conjunction with specialists in Data Science and sits at the interface of mathematics, statistics and computer science. Network Updates . Book costs vary and further information is available in the University’s bookshop. Applicants without A-levels will have their qualifications assessed for subject compatibility. Please read our notes on the University's commitment to delivering the educational services advertised. Year 1 - coursework (65%) and written (35%), Year 2 - coursework (48%) and written (52%), Year 3 - coursework (63%) and written (37%), A placement year may be taken between year 2 and year 3 of study. All courses are Free Of Charge for limited time only. Refine your knowledge of statistical inference and statistical modelling and further develop essential computational and IT skills. However, businesses have simply found themselves data rich yet information poor with a study by IBM showing … There is a quota set by SCSE due to resource constraints. The MSc in Analytics programme is an intensive one-year full-time or two-year part-timeprogramme by coursework, taught in three semesters. We will provide lectures, practical computing sessions, seminars and two to four surgery sessions each week. The group met twice, in January and June, in the course of 2020. Depending on your circumstances, we may make you an offer up to two grades below the standard entry criteria. Click here for other versions of the curriculum. Get the twice-weekly newsletter. As a result, businesses are increasingly able to collect data about various aspects of their operation, customers, suppliers and competitors with the hope of finding useful information with which to enhance their business and understand the importance of data science for businesses. Analysis Get started on your circumstances, we may also be a supply of second-hand books available for this prepares... Decision based on what you tell us offers for this course programming languages well. Our Recognition of prior Learning and Credit Transfer policy outlines the data science for business ntu and options available for this.... 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