Data Science and Communication University of Liverpool

Overview

Whether you want to investigate how Big Data impacts 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.

Key Features

• The Data Science and Communication programme from University of Liverpool 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.

Career prospects

Examples of relevant careers include, but are not limited to:

• Computational social scientists
• Digital communication managers
• Product/project managers for AI/digital products
• Counsellors for digital strategies.
• Such professional figures are required by a wide range of stakeholders including, among others, AI companies (from start-ups to multinational corporations), news media agencies, public health, and cyber security institutions.
• In addition, the programme’s focus on cutting edge methodologies for data analysis in response to social science issues will allow students to become pioneers in solving novel problems arising in the Networked Society, tackling, for instance, misinformation as well as challenges both in human-computer interaction and computer-mediated communication. This MSc programme offers multiple opportunities in the fast-changing digital media sector.
• Graduates wishing to continue academic studies will find a supportive and nurturing research environment that prepares them well for doctoral-level research activities. Career pathways that follow this route include employment in higher education (teaching and/or research), or teaching at secondary and further education levels.