Overview
The MSc in Data Science and Communication is designed for students who have an interest in the way data and data processing are shaping our communication practices as society becomes increasingly digitised. Whether you want to investigate how Big Data impact our daily decision-making practices or learn how to create innovative communication chatbots, this MSc will provide you with the necessary means to successfully navigate the Networked Society.
The programme offers state-of-the-art empirical, technical and theoretical training. You will have the opportunity to learn cutting edge computational techniques to study social behaviours at scale, alongside a deep grounding in the principles of communication studies and the social sciences. Substantial training will also be devoted to quantitative methods aimed at harnessing big data, especially when it comes to social and news media. You will learn the underpinnings of emerging communication technologies ranging from computer mediated communications to human computer interaction.
The skills developed by you as computational communication scientists are in high demand both in the private and in the third sector. As a graduate you will be qualified to work as a data analyst, data manager, or computational linguist across a variety of sectors, ranging from news media agencies and AI industries, to policy making institutions. This MSc will also provide you with advanced skills to successfully apply for a PhD programme to pursue a career in academic research.
Career prospects
You will gain competitive skills to be employed in a wide range of industry and third sector organisations requiring expertise in Data Science applied to communication environments. Such professional figures are highly required in a wide range of domains such as Artificial Intelligence, news media, research and development, PR, marketing and advertising, consulting, and publishing, among others.
The programme also provides a strong platform from which to progress to further research at PhD level that is supported and supervised by colleagues in the Department of Communication and Media or in the Department of Computer Science.
برای دانشجویان بینالمللی
You will normally need a 2:1 honours degree, or above, or equivalent. This degree should be in communication studies, social sciences or humanities subjects, or a technical discipline such as computer science or information technology. Applicants with a degree in another subject, who also have appropriate professional experience, will be considered on an individual basis.
1 Year - Full time
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شهریه
£24,100.00 (US$ 31,123) per yearAccommodation - 600 to 900 This is a fixed fee Please check with institution
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تاریخ شروع
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آدرس
Liverpool Campus, Foundation Building, Brownlow Hill, Liverpool, L69 7ZX, England, United Kingdom
Health Data Science Scholarships
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میزان ارزش بورسیه
Up to a maximum amount of £10,850.
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روش اپلای
Once you have secured a place on the MSc Health Data Science at the University of Liverpool, submit your CV, and a brief supporting statement (no longer than 750 words), which should outline (1) why you should receive a scholarship to study on this programme, (2) your past achievements in academic and professional activities relevant to the MSc programme, and (3) your data science experience to date and any future career plans to Prof Ruwanthi Kolamunnage-Dona (kdrr@liverpool.ac.uk).
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پیش نیاز ها
At least two scholarships covering the tuition fees for the MSc Health Data Science, up to a maximum amount of £10,850, are available for students starting the master's programme in the academic year 2023/24.
For UK students, the tuition fees of £10,850 are being paid by the scholarship. For international students, tuition fees are partially being paid by the scholarship, to a maximum of £10,850.
To be eligible for these scholarships, you must be awarded a place on the MSc Health Data Science programme at the University of Liverpool. You must hold, or be on track to obtain, at least a high 2:1 (65+%) in your undergraduate degree, including marks of 60+% in modules relevant to the MSc programme. Work experience relevant to Data Science (paid, internship, shadowing or voluntary positions) would be advantageous.