LMQ Level 03

International Foundation In Data Analytics

  • Duration :
    06 Month
  • Delivery :
    Part Time
    Full Time
    Distance Learning
  • Intake :
    January
    April
    July
    August
  • Fee :

    1000.00

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Overview

The LMQ Level 3 Foundation in Data Analytics program is designed to offer students a robust initiation into the dynamic realm of data analytics. This course is structured to furnish participants with essential knowledge, skills, and insights, serving as a foundational framework for subsequent pursuits, advanced studies, and potential careers in the field of data analytics. The program’s specific objectives are:

Entry requirements

Student must have completed a GCSE Qualification and achieved a grade C or above in English and Maths subjects. A high school diploma or equivalent is generally required for entry into a foundation-level course. It is expected that a student would typically have the maturity to undertake this programme at the age of 17.

Mandatory Units

  • 20 Credits

    English for Academic Purposes

  • 20 Credits

    Mathematics

  • 20 Credits

    Information Technology

  • 20 Credits

    Introduction to Research

  • 20 Credits

    Introduction to Data Analytics

  • 20 Credits

    Introduction to Cyber Security

Duration and delivery

This qualification is expected to be delivered minimum of 6 months for full-time study. Centres should make sure the Total Qualification Times (TQM) or National Learning Hours (NLH) are covered as per the qualification requirements. This programme is flexible and delivered face-to-face, distance learning, through lectures, tutorials, seminars.

Progressions

Successful completion of the LMQ Level 3 Foundation in Data Analytics opens doors to diverse progression opportunities. Graduates are well-positioned to advance to higher-level data analytics qualifications, engage in specialized training programs, or seamlessly transition to advanced studies in machine learning and related fields. This foundation equips individuals with the essential skills to contribute meaningfully in data-driven industries and positions them for rewarding careers in data analytics and beyond.