Level 3 Alternative Academic Qualification
Cambridge Advanced National in
Level 3 Alternative Academic Qualification
Cambridge Advanced National in
*New Course 2025
The OCR Level 3 Cambridge Advanced National in IT: Data Analytics (Extended Certificate) is designed for students aged 16-19 who are interested in developing data analytics skills. This course is suitable for students who want to:
Gain practical, applied IT skills alongside other qualifications.
Develop knowledge of data analytics, machine learning, and digital marketing.
Learn how to plan, develop, and review IT solutions for real-world clients.
Build skills needed for university study and careers in data analytics, IT, and business.
It is an alternative academic qualification that provides both theoretical knowledge and practical experience, preparing students for further study or employment in the information technology sector.
The qualification includes a mix of examined units and non-examined assessment (NEA) assignments.
The exams assess core knowledge of data analytics, while the NEA units require students to apply their skills in real-world projects.
F200: Fundamentals of Data Analytics
F202: Spreadsheet Data Modelling
F201: Big Data and Machine Learning
F203: Relational Database Design
F205: Data Visualisation
The course combines theory and practical learning through classroom teaching, hands-on workshops, and project-based assignments. Students develop skills in spreadsheets, databases, AI, and data visualisation. Learning includes independent research, group work, and exam preparation, ensuring a strong foundation for higher education or careers in data analytics and IT.
To enroll in this course, you should have a Grade 4 in GCSE English and Maths, along with meeting the general college entry requirements for Advanced Level study (refer to the latest Prospectus for details). Prior study of Information Technology at GCSE is not required, and students without IT qualifications are welcome. Key skills and aptitudes will be assessed through your GCSE profile. Please note that entry requirements may be subject to change due to curriculum reform.
A Level Business, Computing, Geography, Maths, A Level Psychology
UCAS Tariff points
56 Distinction
48 Distinction
32 Merit
16 Pass
This qualification prepares students for higher education in fields like data science, AI, cybersecurity, and IT management or careers as data analysts, business intelligence specialists, and database administrators. It also supports apprenticeships in data analysis and software development, providing essential problem-solving and data-handling skills for various industries.