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Data Analytics MSc

Accelerate your career by mastering transferable data science skills with this online degree from the University of Huddersfield. On this British Computer Society-accredited MSc, explore the ways data analytics can help you and the world.

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  • Level

    Masters Degree
  • Duration

    2-3 Years Part-time
  • Language

  • Total Tuition Fee


Data Analytics MSc

  • Masters Degree (Postgraduate)

  • 2-3 Years Part-time

  • Total tuition fee


    Elevate your data science expertise with a degree aligned with SAS.

    The demand for data is only getting stronger. For those who can not only make sense of it but master it, the opportunities for success and innovation are boundless.

    Transform your data science skills with a University of Huddersfield BCS-accredited degree

    Over two to three years, you’ll master data analytics as you explore the fundamentals of statistics, data mining, big data management, and complex data visualisation.

    You’ll sharpen your research skills and find opportunities to apply this expertise to solve real-world problems.

    Succeed as a data scientist, data analyst, and beyond

    No matter the industry, this carefully crafted programme will help you become better at analytically evaluating existing and emerging data science trends and technologies to offer innovative solutions.

    The Data Analytics MSc is open to all learners who meet the following prerequisites:

    *A BSc, BEng or BA Honours degree (2:2 or above) or equivalent professional qualification in any subject. *Applicants with other appropriate professional qualifications and/or experience will be considered on an individual basis.

    Additionally, learners are expected to have an IELTS proficiency score of at least 6.0 (no less than 5.5, or equivalent) if English is not their first language.

    This fully online programme offers you the freedom to grow your career on a timeline that works best for you. Its British Computer Society (BCS) accreditation and wide range of topics in the field of data analytics and related fields will enable you to stand out against the competition and meet the demands of a growing industry.

    As you progress through the programme, you’ll learn how to:

    • Master research skills: Develop essential research skills for computing, including scientific methods, literature review, project management, and effective presentation techniques.

    • Analyse data and statistics: Explore statistical methods vital for data analysis and their applications across various sectors such as business, health, and structured/unstructured data analysis.

    • Visualise data insights: Learn to transform complex datasets into valuable insights through advanced data visualisation theories, best practices, and practical application of cutting-edge tools.

    • Handle large databases: Discover alternative approaches to data management with a focus on building robust organisational information systems capable of handling large-scale data requirements.

    • Understand data mining: Uncover meaningful patterns within large datasets using data mining techniques, evaluate the quality of discovered knowledge, and understand its social impact across various application areas.

    • Harness big data analytics: Gain insights into the challenges and opportunities presented by big data analytics, exploring fundamental characteristics, architectures, processing techniques, and domain applications.

    • Embrace machine learning: Explore the wide-ranging applications of machine learning, including recognition, classification, optimisation, and practical implementations to improve existing AI systems.

    Data Analytics MSc

  • Masters Degree (Postgraduate)

  • 2-3 Years Part-time

  • Total tuition fee


    If you’d like to know more, please answer a few questions and University of Huddersfield will get in touch with you with more information.

    University of Huddersfield logo

    University of Huddersfield

    The University is home to six academic Schools of Study: Applied Sciences, Arts and Humanities, Business and Law, Computing and Engineering, Education, and Human and Health Sciences. It is an established and growing centre of research and excellence, pushing the boundaries of knowledge and is recognised for the quality of its teaching, achieving a Gold Award in the Teaching Excellence Framework (TEF) and winning the inaugural Higher Education Academy Global Teaching Excellence Award in 2017.