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STUDY

Undergraduate

Artificial Intelligence and Automation Practitioner (Higher Apprenticeship)*

Institution code: S82
UCAS code: N/A
Start date: September 2026
Duration: One year and six months full-time
Location: Ipswich
Typical Offer: 48 UCAS Points (or above), DD (A-Level), PPP (BTEC), Pass D or E (T Level)
Institution code: S82
UCAS code: N/A
Start date: September 2026
Duration: One year and six months full-time
Location: Ipswich
Typical Offer: 48 UCAS Points (or above), DD (A-Level), PPP (BTEC), Pass D or E (T Level)
Ask a question Applying to University Get a Prospectus
Course information table
Institution code: S82
UCAS code: N/A
Start date: September 2027
Duration: One year and six months full-time
Location: Ipswich
Course information table
Institution code: S82
UCAS code: N/A
Start date: September 2027
Course information table
Duration: One year and six months full-time
Location: Ipswich
Ask a question Applying to University Get a Prospectus
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Overview

The Certificate of Higher Education (CertHE) in Artificial Intelligence and Automation Practitioner (Higher Apprenticeship) is designed for individuals who want to develop practical skills in artificial intelligence, automation, process improvement, and digital transformation.

As organisations increasingly adopt AI-enabled technologies, there is growing demand for professionals who can identify opportunities for automation, improve business processes, and support organisational change. This apprenticeship combines academic learning with workplace application, enabling you to develop knowledge and skills that can be applied directly within your organisation. Through a blend of face-to-face teaching, online learning, and workplace-based activities, you will learn how to analyse business processes, design AI-enabled solutions, evaluate their effectiveness, and support continuous improvement. The course is suitable for both new entrants and existing employees who wish to develop their digital capabilities and contribute to organisational innovation and efficiency.

On completion of your apprenticeship you will be awarded a CertEd Artificial Intelligence and Automation Practitioner (Higher Apprenticeship) from the University of Suffolk.

The University of Suffolk has an international profile while being committed to our region. We are proudly modern and innovative and we believe in transformative education. We are on the rise with a focus on student satisfaction, graduate prospects, spending on academic services and student facilities.

1st

for Student Support

(Whatuni Student Choice Awards 2025)
1st

for Lecturers and Teaching Quality

(Whatuni Student Choice Awards 2025)
6th

in England and Wales for social inclusion

(Times Good University Guide 2026)

Course Modules

Downloadable information regarding all University of Suffolk courses, including Key Facts, Course Aims, Course Structure and Assessment, is available in the Definitive Course Record.  

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This module introduces you to organisational processes, stakeholder engagement, and process mapping techniques. You will analyse workflows, identify inefficiencies, and recognise opportunities for process improvement and automation within workplace settings.

This module focuses on designing and developing AI-enabled and automated solutions. You will explore workflow design, automation tools, low-code and no-code platforms, solution prototyping, and the practical application of AI technologies within organisations.

This module develops skills in testing, evaluating, and improving automation solutions. You will learn how to assess solution performance, identify issues, ensure reliability and compliance, and apply continuous improvement techniques.

This module examines the implementation and adoption of AI-enabled solutions within organisations. Topics include change management, stakeholder engagement, user adoption, performance measurement, and continuous improvement

Following successful completion of the on-programme learning and Gateway requirements, apprentices will complete the Apprentice Assessment in accordance with the AI and Automation Practitioner Apprenticeship Standard.

Course Modules

Downloadable information regarding all University of Suffolk courses, including Key Facts, Course Aims, Course Structure and Assessment, is available in the Definitive Course Record.  

Binary code flying through a vortex

This module introduces you to organisational processes, stakeholder engagement, and process mapping techniques. You will analyse workflows, identify inefficiencies, and recognise opportunities for process improvement and automation within workplace settings.

This module focuses on designing and developing AI-enabled and automated solutions. You will explore workflow design, automation tools, low-code and no-code platforms, solution prototyping, and the practical application of AI technologies within organisations.

This module develops skills in testing, evaluating, and improving automation solutions. You will learn how to assess solution performance, identify issues, ensure reliability and compliance, and apply continuous improvement techniques.

This module examines the implementation and adoption of AI-enabled solutions within organisations. Topics include change management, stakeholder engagement, user adoption, performance measurement, and continuous improvement

Following successful completion of the on-programme learning and Gateway requirements, apprentices will complete the Apprentice Assessment in accordance with the AI and Automation Practitioner Apprenticeship Standard.

WHY SUFFOLK

1st University of the Year

WhatUni Student Choice Awards 2025

2nd Teaching Satisfaction

Guardian University Guide 2026

2nd Student Experience

Good University Guide

Entry Requirements

The University will liaise with employers regarding entry requirements, but would normally expect Apprentices to meet our standard entry requirements:

48 UCAS Points (or above)

  • DD (A-Level)
  • PPP (BTEC)
  • Pass D or E (T Level)
How to Apply Entry Requirements Explained

All applicants under 19 are required to hold GCSE English and Maths at Grade C/4 or above (or Level 2 equivalents).

All applicants must be employed for more than 30 hours per week in a suitable role and have the support of their employer.

IELTS 6.0 overall (minimum 5.5 in all components) where English is not the students' first language.
Please select your country of permanent residence from the list below, specific requirements for your country will then be shown. 
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Entry Requirements

The University will liaise with employers regarding entry requirements, but would normally expect Apprentices to meet our standard entry requirements:

48 UCAS Points (or above)

  • DD (A-Level)
  • PPP (BTEC)
  • Pass D or E (T Level)
How to Apply Entry Requirements Explained

All applicants under 19 are required to hold GCSE English and Maths at Grade C/4 or above (or Level 2 equivalents).

All applicants must be employed for more than 30 hours per week in a suitable role and have the support of their employer.

IELTS 6.0 overall (minimum 5.5 in all components) where English is not the students' first language.
Please select your country of permanent residence from the list below, specific requirements for your country will then be shown. 
International Homepage
GO TO COUNTRY PAGE
GO TO COUNTRY PAGE
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Career Opportunities

This apprenticeship prepares you for a range of roles involving digital transformation, business improvement, and AI-enabled technologies. Potential career pathways include:

  • AI and Automation Practitioner
  • Process Improvement Practitioner
  • Digital Transformation Officer
  • Business Improvement Analyst
  • Automation Analysis
  • Operations Improvement Coordinator
  • Digital Project Support Roles
  • Business Systems Support Roles

The skills developed through the course are transferable across a wide range of sectors including business services, healthcare, public sector organisations, manufacturing, logistics, education, and technology. The programme also provides a foundation for progression to higher-level study in digital business, computing, data analytics, and related disciplines.

Our Careers, Employability and Enterprise Team are here to support you, not only whilst you complete your studies, but after you graduate and beyond.

To find out more about our range of services and support, please visit our Careers, Employability and Enterprise page.

Your Course Team

Dr Rasem Qudaih

Rasem Qudaih is a Lecturer in Digital Business. With a background in managing businesses in the Swedish service and hospitality sectors.

Dr Josephine Chikwana

Dr Josephine Chikwana is a lecturer in Business Management.

j.chikwana@uos.ac.uk

Dr Obinna Ejiogu

Obinna is a Lecturer in Human Resources Management.

Dr Anousheh Ramezani

Anousheh is a Lecturer in Artificial Intelligence

Anousheh Ramezani

Dr Kakia Chatsiou

Kakia is a Course Leader and Lecturer in Computing with expertise in machine learning, information management systems and data science.

Apprenticeship Funding

Degree Apprenticeships are only offered to students undertaking the course as part of their employment. Apprenticeship training will therefore be funded directly by employers or by employers in partnership with Government. Apprentices will not be required to pay any tuition or course fees, and will not be eligible for any Student Finance England maintenance support. Please see our Apprenticeship pages for more information.

Apprenticeships Information

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