Entry Requirment:
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.
Progression:
Successful completion of the 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.
Duration:
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.
Units/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 |
- Teacher: LC BMT