CTEC IT

Course summary

Why Study the Subject? Consultation with universities, employers, and industry specialists ensures that this course equips students with the perfect combination of knowledge, understanding, and skills for the digital age. Designed in collaboration with experts, the Level 3 AAQ in IT: Data Analytics focuses on the real-world demands of universities and employers, preparing students for higher education and careers in the IT sector. Course Structure The Level 3 Extended Certificate in IT: Data Analytics is equivalent to one A Level. The course comprises five units: three mandatory and two optional, assessed through a mix of external exams and coursework. Unit Content Year 12 • Unit F200: Fundamentals of Data Analytics (Mandatory Unit) - Exam. Covers the foundational principles and tools of data analytics, essential for understanding the subject. • Unit F201: Big Data and Machine Learning (Mandatory Unit) - Exam. Explores advanced data concepts, including big data technologies and the basics of machine learning. Year 13 • Unit F202: Spreadsheet Data Modelling (Mandatory Unit) - Coursework. Hands-on experience in analysing and presenting data using spreadsheet tools to solve realworld problems. • Unit F203: Relational Database Design (Optional Unit picked by school) - Coursework. Focuses on designing and managing relational databases, a highly relevant skill in IT. • Unit F204: Data and the Internet of Everything (IoE) (Optional Unit picked by school) - Project-Based Coursework. Explores how connected devices interact in the modern world, building skills for IoT-related industries. Skills Acquired This qualification aims to develop students’ key knowledge, understanding, and skills in the principles of data analytics, including: • Creative, critical, and analytical thinking. • Practical skills in data modelling, machine learning, and database management. • Communication, evaluation, planning, and research skills essential for higher education and employment. • Confidence in applying IT knowledge to real-world contexts, fostering independence and innovation. Students Suited to the Course This course is ideal for students with an interest in IT, data analytics, and the role of technology in a rapidly changing world. Those with a curiosity for exploring data-driven insights, databases, and emerging technologies like machine learning and IoT will find it particularly engaging. What Other Subjects Does It Combine Well With? The AAQ in IT: Data Analytics pairs well with a wide range of A Level and vocational subjects, particularly: • Business Studies • Mathematics • Computer Science Its broad scope allows students to complement their theoretical knowledge with practical, real-world IT applications. Careers or Higher Education the Course Leads To This qualification provides a strong foundation for: • University Degrees: Courses such as Data Science, Computer Science, Artificial Intelligence, or Cyber Security. • Apprenticeships: Roles in IT infrastructure, data analysis, or software development. • Careers: Opportunities as a data analyst, machine learning engineer, IT project manager, or IoT specialist. The course is recognised for UCAS tariff points, making it an excellent stepping stone to higher education or employment. Co-curricular Opportunities To support learning and broaden understanding, students will have access to: • Trips to businesses to see data analytics in action. • Guest speakers from the IT industry sharing real-world insights. • Extracurricular opportunities, such as tech clubs and IT competitions.