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BSc (Hons) Computer Science (Data Analytics)

Cardiff Metropolitan University, United Kingdom
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Course Overview

This course is designed to provide students with a comprehensive understanding of computer science, specializing in data analytics. Students will learn how to collect, analyze and interpret large datasets, as well as how to apply machine learning algorithms to solve real-world problems. The course covers topics such as database management systems, data mining, statistical analysis, and data visualization. Students will also gain practical experience through project work and collaborative activities, preparing them for a career in the rapidly growing field of data science.

Additional Information

The course is delivered through a combination of lectures, seminars, and practical sessions. Students will have access to state-of-the-art facilities, including high-performance computing resources and specialized software tools. The course is designed to provide students with the skills and knowledge needed to pursue a career in data science or related fields.

Discover the Benefits of Studying Computer Science at Cardiff Metropolitan University

Cardiff Metropolitan University offers a unique learning experience that combines academic rigor with practical, hands-on training. Students will benefit from a diverse and vibrant student community, as well as access to cutting-edge research facilities and opportunities for international collaboration. The university's location in Cardiff provides easy access to industry partners and networking opportunities.

Why You Should Study This Course

A student-centred approach to learning and teaching is encouraged through the use of a broad range of teaching strategies, such as technical labs and individual and group projects. This is further enhanced by real-world case studies and guest talks from industry experts and supported by Teams and Moodle, our virtual learning environments.

Due to the nature of the programme, online and campus-based practical workshops are key to developing students’ technical understanding and abilities, underpinned by solid theoretical foundations. Students are expected to further develop their knowledge and understanding through directed self-study and independent learning time - in addition to the timetabled delivery - so as to develop a professional portfolio of project work and software artefacts as they move into graduate employment.

Students are supported academically and pastorally by the Programme Team, led by the Programme Director. Each student is also appointed a Personal Tutor from within the School, who provides a point of contact for general academic and pastoral issues. Students are also supported by Student Coaches; the Student Coach role is for current 2nd, 3rd year and Master’s students who provide peer support in Modules.

General Eligibility

Minimum three A levels to include Grades CCC. No specific subjects are required. Welsh Baccalaureate – Advanced Skills Challenge Certificate is considered a third subject.

Part Time Work Details

20 Hours of Work permit weekly for international students.

What You'll Study

1 Year 1
  • Principles of Programming

  • Architectures & Operating Systems

  • Building for the Web

  • Technology & Society

  • Computational Thinking

  • Developing Quality Software & Systems I

2 Year 2

Compulsory modules:

  • Physical Computing

  • Object-Oriented System Design

  • Data & Knowledge Management

  • Developing Quality Software & Systems II

  • Research and Professional Skills

Optional modules (one of the following):

  • Multimedia & Interaction

  • Mobile & Web Technologies

  • Networks & Communications

  • Law & Digital Security

  • Concepts in Artificial Intelligence

3 Year 3

Compulsory modules:

  • Computer Science Dissertation Project

  • Professional & Ethical Issues in IT

  • Computational Intelligence

  • Cyber Security and Cryptography

Optional modules (one of the following):

  • Advanced Programming

  • Parallel & Distributed Systems

  • Advanced Multimedia

  • Analytics & Business Intelligence

  • Mobile Game Development

  • Social Humanoid Robotics

  • Entrepreneurship and Innovation

  • Industrial Work Experience (Placement)

Language Requirement

  • IELTS5.5
  • TOEFL59
  • PTE50
  • Duolingo69

Academic IELTS 6.0 overall with at least 5.5 in all elements, or equivalent.

Ready to get started?

For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.

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