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MSc Data Science

Leeds Beckett University

COURSE OVERVIEW

Data and information is recognised as a central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy.

Whether you are already working and looking to enhance your expertise in the area of data science or you have recently graduated and want to move into roles specifically aligned with data science and analytics, this course will help you develop a comprehensive understanding of the role of data within business. You will study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently. You will also explore the techniques used to analyse data, discover how data can contribute to a company's business strategy and focus on the application of data science in a specific field such as health, education or fraud prevention.

Central to the course will be the themes of security, ethics, data governance and sustainability. You will graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors.

In the ever changing technological world, the skills required to successfully manage and share an organisations' data, require employees that have good understanding of data issues, technology, people and business. All of these skills are addressed by modules on this course, placing you at the forefront of the emerging digital economy.

You will be encouraged to undertake projects and volunteering opportunities with outside organisations, and our expert staff will ensure your learning is highly relevant to the workplace. Industry experts and leaders in their field will further fine tune your knowledge by sharing their expertise and professional insights during regular guest lectures. Past speakers have included computing, forensic and engineering experts from KPMG, Hermes Innovation Lab and Premier Farnell. Goranka Bjedov, Performance and Capacity Engineer at Facebook, visited the School to talk about her work in ensuring Facebook's worldwide data centres are able to deliver a 24/7 service to users.

The University is home to four research institutes and 14 research centres, including the Cybercrime & Security Innovation Centre and the New Technology Institute. Findings from our research will feed into your learning to equip you with the latest thinking and industry insights.

TEACHING & LEARNING

Independent study is a crucial part of learning at university and you will be required to undertake many hours of self-directed research and reading, and preparation and writing of assessments. Your course is delivered through a number of modules, which will help you to plan your time and establish a study routine. Outside of your lectures, workshops and tutorials, a range of support is available to assist with your independent study. Our subject-specific librarians will be on hand to direct you to the specialist learning and study-skill resources. You’ll also be assigned an academic advisor to give you tailored feedback and support.

Our silver status in the latest Teaching Excellence Framework, reflects our commitment to deliver high-quality teaching, learning and outcomes for our students.

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Requirements

Listed below are the documents required to apply for this course.
£17,500 Per Year

International student tuition fee

1 year

Duration

Sep 2024

Start Month

Aug 2024

Application Deadline

Upcoming Intakes

  • September 2024

Mode of Study

  • Full Time