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Data Analytics

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Data shapes our world, driving innovation, efficiency, and informed decision-making.

It unveils patterns, predicts trends, and fuels breakthroughs in science, technology, and business. Learning about data empowers you to solve complex problems, enhance critical thinking, and influence future advancements. Embrace data; become a catalyst for positive change and limitless opportunities.

This course will teach students about the fundamentals of data and equipping you with the knowledge and skills to be successful in a modern work place. This is a unit based course with a mixed of practical and examined assessment. There are 5 units in total.

  • Fundamentals of data analytics: How is data gathered, structured, analysed & stored?
  • Big data and machine learning: Learn about how big data is used by Governments, the Environment and Business. How is big data used by AI and machine learning.
  • Spreadsheet data modelling: Learn about how data can be used to create models to be manipulated and create visual representations of data. A valuable skill for many workplaces.
  • Data and the internet of everything: What is the IoE? Design your own example to be shared with stakeholders.
  • Data and digital marketing: Create a digital marketing campaign for a specified purpose. You will use data to target your approach.

Entry Criteria

5 in GCSE English Language and 5 in a computer-related GCSE.

Companion Subjects

Mathematics

Physics

3D Design

Business

Career Paths

  • Cyber Security

  • Games Design

  • Helpdesk/Technical Support

  • ‍Project Management

  • Software Development 

  • Web Development

Subject Intent

Our Cambridge Nationals in Data Analytics course equips students with the knowledge, skills and confidence to understand, analyse and communicate data in an increasingly digital world. The course has been carefully designed to develop both technical ability and critical thinking, preparing students for further study, apprenticeships and careers in the rapidly growing digital and data sectors.

Students learn how data is collected, managed, analysed and presented to support informed decision-making. Through engaging, real-world scenarios, they develop practical skills in using industry-standard software, interpreting data, identifying patterns and trends, and presenting findings to different audiences. Alongside these technical skills, students build problem-solving, analytical thinking, creativity and communication skills that are highly valued by employers and higher education providers.

Course Overview

AAQ Extended Certificate (A Level equivalent)

Year 12

Exam F200 Fundamentals of data analytics

Topic area 1: Understanding data

Topic area 2: Managing data

Topic area 3: How data can be accessed and managed across platforms

Topic area 4: legal considerations

Topic area 5: Job roles, skills and attributes in data analysis

 

NEA F202 Spreadsheet data modelling

Topic area 1: Principles of spreadsheet modelling

Topic area 2: Planning the design of a spreadsheet model

Topic area 3: Creating the spreadsheet model

Topic area 4: Delivering the outcomes

Topic area 5: Evaluation

 

NEA F206 Data and digital marketing

Topic area 1: Digital marketing fundamentals

Topic area 2: Data driven digital marketing

Topic area 3: Planning digital marketing content

Topic area 4: Creating content for digital marketing campaigns

Topic area 5: Communicating to stakeholders

Topic area 6: Reflection and evaluation of working processes

 

Year 13

NEA F206 Data and digital marketing continued

Exam F201 Big data and machine learning

Topic are 1: The scope of managing Big data

Topic area 2: The infrastructure challenges of managing big data

Topic area 3: Big data, machine learning and artificial intelligence

Topic area 4: Legal and ethical issues in data management

Topic area 5: Environment and society

 

NEA: F204 Data and the Internet of everything

Topic area 1: Sectors that use the IoE

Topic area 2:  Data collection, processing and storage methods and devices

Topic area 3: Connectivity and data transmission

Topic area 4: Human computer interface (HCIs)

Topic area 5: Securing IoE devices

Topic area 6: Documentation and audience communication

  • Assessment 

In year 12 you will complete two assessment which will consist of an exam in June and NEA.

  • Exam F200 Fundamentals of data analytics
  • NEA F202 Spreadsheet data modelling

In year 13 you will complete 3 assessments which will consist of 1 exam in June and 2 NEA’s

  • Exam F201 Big data and machine learning
  • NEA F206 Data and digital marketing continued
  • NEA: F204 Data and the Internet of everything

Homework & Independent Study

Students will need to keep up to data with current technology news.  Weekly homework will include exam style question, research tasks and revision notes.  I will also include learning how to use new pieces of software like Excel and completing practical based tasks.

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

The demand for people who can work confidently with data is growing across every industry. The knowledge and skills gained through this course provide an excellent foundation for a wide range of post-16 pathways and careers.

After completing Cambridge Nationals in Data Analytics, students can progress to:

  • Level 3 qualifications, including T Levels in Digital Production, Design and Development or Digital Support Services.
  • BTEC Nationals in Computing, Information Technology or Business.
  • Apprenticeships in data, digital, business or IT-related fields.
  • University degrees in subjects such as, Computer Science, Data Analytics, Cyber Security, Artificial Intelligence.

The course can also lead to careers including:

  • Data Analyst
  • Business Analyst
  • Digital Marketer
  • Marketing Analyst
  • Business Intelligence Analyst
  • IT Support Technician
  • Software Developer
  • Cyber Security Analyst
  • Database Administrator
  • Finance Analyst
  • Operations Manager
  • Retail or Sales Analyst

The analytical, digital and communication skills developed throughout the course are highly valued by employers and are transferable across a wide range of sectors, including business, healthcare, finance, sport, engineering, retail, education and the public sector.

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