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Data Analytics (KS5)

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IT: Data Analytics at St Wilfrid’s (OCR H019 / H119)

Subject Intent

This qualification is all about empowering students to think analytically with real-world data. From collecting and cleaning data, to visualising and interpreting it, learners gain hands-on experience using tools like spreadsheets, databases, and even exploring big data and machine learning. The course nurtures problem-solving, decision-making, and communication skills—key for both higher education and thriving in data-driven industries. It’s a dynamic blend of theory and practical work, with a supportive, inclusive approach to learning.

Course Overview

Certificate (H019, 150 GLH – equivalent to AS Level)

  • Unit F200: Fundamentals of Data Analytics (75 GLH, external exam)
  • Unit F202: Spreadsheet Data Modelling (75 GLH, NEA – externally set and moderated)
  • Mandatory Units: F200 + F201: Big Data & Machine Learning (70 GLH, exam) + F202 (NEA)
  • Optional NEA Units:
    • F204: Data & the Internet of Everything
    • F206: Data & Digital Marketing

Assessment

  • F200 Exam: 1h 15m, 60 marks
  • F201 Exam: 1h 30m, 60 marks
  • NEA Components:
    • F202 (mandatory), plus two optional NEAs for Extended Certificate
    • Each NEA is approx. 15 GLH, assessed by OCR using published assignments and detailed grading criteria

Grading is compensation-based—meaning every mark counts, and students can still achieve Pass/Merit/Distinction even if one element isn’t perfect—rewarding well-rounded performance .

Homework & Independent Study

Expect a mix of:

  • Practice exam questions and mock papers
  • Spreadsheet tasks, database exercises, data cleaning
  • Research into ethical, legal, and societal data issues
  • Exploration of emerging technologies like machine learning
    Students are encouraged to find real datasets and explore tools like Excel, Python, or data visualisation platforms to deepen their learning.

Enrichment Opportunities

  • Workshops on machine learning or data visualisation tools
  • Guest sessions from data analysts, marketers, or IoT specialists
  • Subject mentors for lower school students

Progression & Careers

This qualification offers a strong foundation for degrees and careers in data science, business analytics, marketing, computer science, cybersecurity, and emerging fields like IoT and AI. The real-world skills developed—data handling, interpretation, problem-solving, tech awareness—are increasingly valued across all sectors.

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