Course Brief

Data Science is an interdisciplinary subject, combining topics from Computer Science and Mathematics. It has a significant presence in many areas of science and technology. This module will provide the theoretical and practical foundations of Data Science, considered as an academic discipline. The module will equip the students with the necessary knowledge and skills for successfully solving wide range of real-world Data Science related problems. The module will provide students with the knowledge and the skills necessary for successfully pursuing a career in a wide range of Data Science related roles, both in academia and industry.

  • 48

  1. Understand the scope of Data Science and its key concepts from academic, scientific, and industrial perspectives.
  2. Apply mathematical, statistical, and computational techniques to analyse datasets, implement data science workflows, and solve real-world problems.
  3. Design and implement practical data science solutions, including data visualisation, statistical analysis, and the application of machine learning algorithms, using appropriate tools and programming environments.

  • Introduction to Data Science and its key concepts.
  • Data points, datasets, data types.
  • Applications of Data Science.
  • Mathematical concepts underpinning Data Science.
  • Statistical analysis, aggregate data.
  • Statistical distributions.
  • Utilising Linear Algebra for solving Data Science related problems.
  • Visualising data, design principles in Data Visualisation.
  • Visual Storytelling in Data Science.
  • Data Clustering, analysis, algorithms and visualisation.
  • Connected data, introduction to Graph Theory, initialising and processing connected data, visualising networks.
  • Machine Learning, applications, algorithms, supervised, unsupervised learning.

Students explore core concepts in Data Science. Teaching will support the development of practical and theoretical skills through problem-solving, tool-based learning, and applied case studies. They are encouraged to work collaboratively outside class to practise coding, share feedback on solutions and discuss data science challenges

Coursework – 100%

  • BSc (Hons) Computing

    The BSc (Hons) Computing programme with specialisms in network systems or information systems is offered by SBCS Global Learning Institute, in collaboration with the University of Greenwich (UK). It is recognized by the Accreditation Council of Trinidad and Tobago (ACTT) and is the next step after completing any one of the qualifications listed below: 

    • SBCS Diploma in Computing
    • Cape/A-level graduates,
    • Comparable qualification as assessed by the University of Greenwich

    To confirm your eligibility see our Entry Requirements tab below for more information or email us at [email protected] 

    The next intake for this programme will be in SEPTEMBER 2025

    REGISTRATION DEADLINE: SEPTEMBER 8, 2025

    CLASSES BEGIN: SEPTEMBER 15, 2025

    For more details on fees, payment plans and courses email: DOWNLOAD THE BRIEF 

    DISCOUNTS

    SBCS Graduates Diploma in Computing: 5% off tuition; no application fee.

     

    Why pursue the BSc (Hons) Computing from the University of Greenwich?

    • Allows for specializations in Information Systems or Networking
      • Pathway Offerings are based on student enrollment
    • Comprises of twenty modules and one Final Project
    • Flexible payment plans are available
    • The University of Greenwich is well established and has been in existence since 1890
    • SBCS GLI has been a collaborative partner with the University for  over 20 years
    • Graduates can compete for some of the top jobs in the field both locally and abroad
    • Get access to a large international alumni that provides opportunities for growing your professional network

     

    At SBCS we focus on -