8 MA Degrees in Data Science 2024

MA Degrees in Data Science 2024Filter
  • Data, Culture and Society MA

    University of Westminster

    • London, United Kingdom
    • Online
    • + 1 more

    Full time, Part time

    1 year

    On-Campus

    English

    We live in an age where almost everything that we do is connected to data. Big data and datafication – the increasing transformation of multiple aspects of everyday lives into digital data, pose great opportunities but also risks for contemporary societies. This MA course address explores and creatively utilises this transformation. We place emphasis on current and future technologies and practices such as algorithms, artificial intelligence (AI), big data, blockchain, data analytics and data mining, the Internet of Things, and others. This multidisciplinary course brings together media/communication studies and computer science. It combines hands-on and applied approaches with theoretical learning and critical analysis. It will encourage collaboration, creative practice, group work and problem-based learning. You'll apply tools and technologies to your own data challenges and projects, including from your existing professional or cultural, political, social and economic environments. The course also features optional modules from a range of disciplines across the University: Media and Communication Studies, Law, Computer Science, Politics and International Relations, and Cultural Studies. You'll be introduced to the tools and approaches that can be used for the collection, analysis, management and visualisation of data, as well as to the skills needed to critically think about the ethical, cultural, social and political implications of their practice. The course combines technical skills, critical use and creative production. It directly addresses graduates who may wish to acquire a set of skills in relation to data analytics, processing and visualisation while maintaining and furthering a critical mode of enquiry into practices and trends that shape individuals, organisations and societies today. It also speaks to graduates with technical backgrounds and work experience in data-related industries who wish to develop a more critical and multidisciplinary understanding of the social, cultural, political and economic implications of data-driven societies today.

  • MA Design for Data Visualisation

    University of the Arts London

    • London, United Kingdom

    Full time

    On-Campus

    English

    MA DataVisualisationis driven by the intelligent interrogation of data and intensive practice-led research. In a data-driven society, it is increasingly important for businesses, policymakers, governments and NGO’s to communicate data coherently using diverse visualisation tools and techniques.

  • Master Management in Big Data Management (MA)

    IU International University of Applied Sciences – Online

    • Online

    Full time, Part time

    12 months

    Distance Learning

    English

    Big Data is big news for businesses and societies across the globe. With your extensive mathematical and statistical knowledge and data expertise, you are already attractive to employers. However, a Master degree in Big Data Management could be exactly the thing to set you apart from the competition. With this degree, you will gain a comprehensive understanding of big data and how to communicate your findings effectively. More importantly, you’ll learn to manage projects, staff, and operations to be a valuable asset to any company. With IU, you can study 100% online, on campus, or switch between both with IU's new flexible studies option.

  • MA in Data Analytics for Business and Society

    Ca' Foscari University of Venice

    • Venice, Italy

    Full time

    2 years

    On-Campus

    English

    This Data Analytics for Business and Society program prepares you to give businesses a competitive advantage through the use of data analysis.

  • MA in Digital Asset and Media Management

    King's College London - Faculty of Arts & Humanities

    • London, United Kingdom

    Full time, Part time

    1 year

    On-Campus

    English

    The MA in Digital Asset and Media Management (DAMM) programme explores the opportunities and challenges that organisations face as they attempt to develop effective strategies to manage ever-increasing amounts of data in the form of digital assets. Because the management of digital assets has become a critical concern for organisations operating across nonprofit and for-profit sectors, this programme is playing a critical role in preparing students for DAMM-related careers.

    • Groningen, Netherlands

    Full time

    18 months

    On-Campus

    English

    Ever wondered how algorithms make sense of our digital activities to determine what we see and do online? Do you want to understand how big data is affecting our daily lives and how digital literacy can empower people to navigate digital societies?

    • Rome, Italy

    Full time

    2 years

    On-Campus

    English

    The master's degree program in Technologies and Languages of Communications aims to cultivate professionals with advanced expertise in the realms of communication and digital innovation. The Interaction Design curriculum is exclusively delivered in English.

  • MA in Biostatistics and Data Science

    Medical College Of Wisconsin

    • Wauwatosa, USA

    Full time, Part time

    18 months

    On-Campus

    English

    The Biostatistics and Data Science (MA) program at the Medical College of Wisconsin provides a learning experience focused on solid theoretical foundation along with practical experience. Robust course offerings, active engagement in statistical consulting, and a capstone project create ample opportunities to develop essential analytical and communication skills. Consulting projects ranging from the simplest to the most complex protocols and data collection schemes allow students to get experience of working with data in the area of cancer research, cardiovascular diseases, clinical trials, genomics, big data, and machine learning. This hands-on experience will enable students to synthesize the acquired knowledge and integrate various courses they have taken. The 31-credit program can be completed in 18 months. Students will leave fully prepared to take on the challenges of careers in the pharmaceutical industry, healthcare, biomedical sciences, academics, and general data analytics.