International Foundation in Data Analytics
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Objectives
The International Foundation in Data Analytics programme is designed to provide students with a strong foundation in the rapidly evolving field of data analytics. This course aims to equip participants with essential knowledge, practical skills, and critical insights, laying the groundwork for further academic pursuits, advanced studies, and potential careers in data analytics. The programme offers a comprehensive introduction to the field, preparing students for various opportunities in data-driven industries.
Entry Requirement
Applicants must meet the following entry requirements to be eligible for this qualification:
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A GCSE qualification with a grade C or higher in English and Mathematics.
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A high school diploma or its equivalent, typically required for entry into foundation-level courses.
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Students should generally be at least 17 years old and possess the necessary maturity to undertake this programme.
Progression
Upon successful completion of the International Foundation in Data Analytics, graduates are well-prepared to pursue a variety of progression opportunities. The foundational knowledge and skills gained from this course provide a solid pathway to higher-level data analytics qualifications, specialized training programmes, or advanced studies in areas such as machine learning, artificial intelligence, or data science. Graduates will be well-positioned for rewarding careers in data analytics and related fields.Duration
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This qualification is expected to be completed within a minimum of 6 months for full-time study.
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Centres must ensure that the Total Qualification Time (TQM) or National Learning Hours (NLH) requirements are fulfilled according to the qualification guidelines.
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The programme is flexible and can be delivered through face-to-face instruction, distance learning, lectures, tutorials, and seminars.
Units/Credits
| Module Description | Credits |
|---|---|
| English for Academic Purposes | 20 |
| Mathematics | 20 |
| Information Technology | 20 |
| Introduction to Research | 20 |
| Introduction to Data Analytics | 20 |
| Introduction to Cyber Security | 20 |
Level
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