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Data Analytics with Artificial Intelligence Level 4 Diploma

Course Overview

Fee disclaimer

  • This course is FREE for most students.
  • A £30 membership fee applies to all students.
  • You may be eligible for a 19+ Advanced Learner Loan.
  • The course fee listed is the maximum you could pay.
  • No payment is required when you apply. After submitting your application, our customer service team will contact you to confirm your eligibility for free or discounted fees and guide you through the next steps.
  • You might be surprised at how many ways you can qualify for funding. Check your eligibility here.

Entry requirements

  • GCSE Grade 4 in Maths & English
  • Successful completion of a sector related Level 3 qualification
  • Successful completion of Code Institute Data Challenge
  • Knowledge of Python programming is essential
  • Successful completion of initial assessment and interview

Course information

This Higher Technical Qualification equips learners with the advanced skills needed for a career in data analysis. Ideal for professionals aiming to become data analysts, the course covers statistical analysis, data mining, machine learning, and advanced data visualisation.

You’ll gain hands-on experience using industry-standard tools like Python, R, and SQL, and apply your skills to real-world datasets to build practical, job-ready expertise.

Key topics

  • Complex statistical analysis
  • Machine learning techniques
  • Data visualisation
  • Predictive analytics
  • Big data analysis

Select your campus option to apply

Dates Schedule Max. fee per year
Start: 07/09/2026
End: 30/07/2027
Fri (09:00 - 16:30)
£4234.00
Dates Schedule Max. fee per year
Start: 07/09/2026
End: 30/07/2027
To be confirmed
£4234.00
Start: 01/02/2027
End: 30/07/2027
To be confirmed
£4234.00

What Can This Course Lead To

Upon successful completion, you’ll be equipped to work in industries such as finance, healthcare, retail, and technology.

You can progress to further qualifications, including entry into the second year of a degree, or move directly into employment. Potential job roles include:

  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Database Administrator
  • Business Analyst

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Financial Support

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