The details
Location: Online Mode of study: Part-time Qualification: PG Dip Indicative duration: 16 months
Start date: Awarding body: University of Essex Delivered by: Kaplan Open Learning For queries: Call +44 (0) 1206 489 358

Gain access to the innovative and exciting field of artificial intelligence (AI) with this conversion course.

Our PG Dip Artificial Intelligence explores practical and applied solutions that use AI technologies and tools to enhance products and services. This conversion course is designed for students without academic or professional experience in computer science, who are looking to gain the technical knowledge and skills to succeed in a field suffering from a significant skills shortage.

Your study journey begins with an overview module that will provide you with a background understanding of the theoretical concepts in the discipline. Next up, you will cover core mathematical and statistical methods and their real-world applications within this domain. Later in the course, you will study a range of specialist topics including:

  • machine learning and the application of algorithms to learn patterns in data and gain value from it
  • the core concepts and techniques used in representing knowledge and supporting reasoning for building effective AI programmes
  • how intelligent agents can be used to provide innovative problem-solving tools in any industry

Throughout the course you will develop a number of programs and applications, and the course will focus on the programming languages Python and R. Towards the end of your studies you will have the opportunity to advance onto a full Masters.

Why we’re great

  • This programme focuses on the three fundamental areas of artificial intelligence – search, knowledge representation and learning – which underpin all other areas of AI.
  • There’s no need to download lots of different software packages – all programming languages are included within the tuition fee and all work is carried out in our online development environment.
  • This conversion course will enable you to access the broad range of artificial intelligence vacancies, even if you don’t have a computing background.

The PG Dip Artificial Intelligence is made up of the following modules and, upon completion, is equal to a total of 120 credits.

How does artificial intelligence differ from human intelligence? Does our future involve artificial intelligence? This exhilarating module introduces the historical, evolutionary and practical perspectives of the discipline, and will also help you to uncover the answers to these big questions.

Ready to take on a challenge? This exciting module introduces you to key aspects of mathematics and statistics for data science and artificial intelligence. Throughout the module, you’ll have the opportunity to build a foundation for analysing and solving problems across both disciplines.

Get hands-on with real-world applications of data analytics, as this engaging module introduces you to machine learning. There are various paradigms and algorithms to be covered - and upon completion, you’ll have gained a wealth of industry-level, practical knowledge.

Want to explore the fundamental concepts, theories, techniques and the critical component of Knowledge Representation and Reasoning (KRR) in artificial intelligence systems? This engrossing module delves deep into how programs and systems can manipulate and utilise data, to solve complex tasks such as making decisions. 

Ready to learn more about intelligent agents? This engaging module teaches you about intelligent agent software systems, allowing you to apply the knowledge and skills you’ve gained from previous modules. You’ll also gain insight into how to devise these systems using applicable programming languages, such as Java. 

Gain confidence in your critical appraisal of the professional, legal, social, cultural and ethical issues that affect computing professionals. In this valuable module, youll gain a practical foundation in research methods that will enable you to conduct research in practical settings.

Teaching methods 

Studying online gives you the freedom to study when and where it suits you – at home, during your lunch hour or anywhere else you have internet access.  

Our courses are delivered through a virtual learning environment (VLE) instead of a traditional campus. This means you’ll have access to your study materials 24/7, including:  

  • multimedia lecturecasts made up of written content, short videos, animation, audio recordings, infographics, short tests and mini-assignments 
  • discussion forums for you to chat about the course content with fellow students 
  • live seminars and Q&A sessions with your tutors 
  • a comprehensive eLibrary of textbooks and academic journals  
  • support from academic staff and your dedicated Student Support team 

 

Assessments 

You’ll be assessed through a series of assignments. This can be by engaging in discussion forums throughout your modules, completing reflective journal entries, delivering live presentations or by submitting longer written pieces. 

We’re committed to providing frequent and transparent feedback in the following ways: 

  • our assessment criteria are designed to be simple and transparent 
  • you’ll always be aware of your current provisional grade, right from the start of the programme 
  • you’ll be able to view your marks clearly in your gradebook whenever you log into the learning platform 
  • there’s a 7-day turnaround for marking and feedback of assessed work 
  • you’ll have regular contact with your Student Support team, with whom you can discuss any concerns as soon as they arise 

 

Online learning experience 

Your learning experience will be fully supported by high-quality learning materials and resources, delivered via our state-of-the-art virtual learning environment (VLE).  

On average, your learning experience will include the following: 

  • directed learning (40%) this includes participating in tutor-led discussions and seminars, completing interactive exercises on the VLE, and watching videos and lecturecasts. You’ll also be able to book appointments with your module tutor during their office hours, which can be found on the VLE 
  • self-directed learning (30%) – including undertaking wider reading and research in your area of study to develop your understanding of the subject area 
  • assessment (30%) time spent preparing and completing assignments and activities that contribute towards your overall assessment 

Typically, you’ll need to dedicate a minimum 15-20 hours of study per module, per week. 

 

Study duration 

Our PG Dip Artificial Intelligence has an indicative study duration of 16 months, which is a guide to how long your course will take to complete. The actual duration may be longer or shorter depending on your speed of study, study options chosen and module availability.  

It’s possible to complete your studies faster than the indicative course duration by doubling up on modules at certain times; however, minimum study durations do apply.  

Our academic year is organised into modules, typically with a one or two-week break between modules and a structured three-week break for the Christmas period. Students will receive a course timetable during the application process.  

All our courses have regular start dates throughout the year.  

On successful completion of your degree, you’ll be invited to attend a graduation ceremony at the University of Essex’s Colchester campus. 

 

Academic staff 

A quality teaching experience is at the heart of everything we do.  

The dedicated tutors who teach our course modules are subject matter experts, experienced academics and leading industry thought leaders. They play a vital role in ensuring the latest theories and areas of study are covered in our courses, and are proud to provide a high level of academic support. 

You can find more information on our key academic staff and their experience here. 

 

Quality and assurance  

We’re proud to provide a first-class education to students anywhere in the world and adhere to the strictest quality standards 

The University of Essex Online is a recognised member of the Quality Assurance Agency for Higher Education (QAA) and registered with the Office for Students (OfS) 

All our degrees are delivered by Kaplan Open Learning, a world-leading education provider with over 15 years’ experience. 

Artificial intelligence is a vital part of the ‘Industry 4.0’ vision and will play a vital role in the future growth of many sectors, including IT, healthcare, governance and technology. This course is designed to you help you move into this exciting field and after completing your studies you’ll be prepared to succeed in various roles, such as Machine Learning Engineer, AI Engineer, AI Architect, Business Intelligence Lead, AI Analyst or AI Researcher.

Gaining a postgraduate qualification with the University of Essex Online also puts you in good stead for your career prospects. Results from our 2021 student survey showed:

  • 92% of students said their course helped develop their research skills
  • 89% of students say their studies fit with their future plans
  • Almost 60% said their studies had a positive effect on their career
  • 25% of students saw their salaries increase by up to 10%

We know that many people from non-traditional backgrounds would succeed on our courses! That’s why we offer two different entry routes, taking into account your prior work experience and relevant qualifications. You will also need to meet our English language requirements.

As part of the application process, you will be asked to take a short aptitude test which is designed to test your ability to handle the intellectual and practical demands of the course. Please note that we will consider your performance in the aptitude test as part of your overall application, so if you don’t pass the test you may still be accepted onto the course. Additionally, you will need to pass your first assignment set within your two-week induction period of the course in order to continue your studies.

 

Academic entry route

In order to satisfy the academic entry route requirements for our PG Dip Artificial Intelligence, as a minimum you must have an undergraduate degree from an approved institution, equivalent to a UK Honours degree, or a relevant professional qualification.

 

Work experience entry route

In order to satisfy the work experience entry route requirements for our PG Dip Artificial Intelligence, you must have at least three years’ relevant work experience in IT or computer science.

 

English language requirements

As our courses are delivered in English, a high proficiency with English is required. If English is not your first language, your English ability should be equivalent to an IELTS (Academic) score of 6.5. Don’t worry if you don’t hold an IELTS or equivalent qualification – we offer a free online English test to assess your proficiency.

You don’t need to prove your English ability if you are a national of, or have completed a qualification equivalent to a UK degree in, any of these countries.

Full tuition fee: 

£8,314 UK / £8,700 International (2024-25) Δ 

  • Simple monthly payment plan available, enabling you to spread the cost over the duration of your studies. 
  • Full payment discount of 5% if you pay upfront. 
  • Regional scholarship available for international students based overseas in eligible countries. 
  • Alumni discount of 10% of the tuition fee available if you are a previous graduate with the University of Essex or University of Essex Online. 
  • 10% corporate discount available when three or more of your employees study with us. 

Please note, a maximum of two discounts or scholarships can be applied. The corporate discount can only be used in combination with our upfront payment discount, but not in conjunction with any other discount or scholarship. Find out more information about our discounts and scholarships here. 

Our course fees are fully inclusive – all teaching materials and required reading are included, and there are no hidden charges for assessments or resits.  

Δ All tuition fees shown are net of any applicable sales tax payable by you in your country of residence. Where we are required to add sales tax at the local statutory rate, this will be added to the tuition fees shown and confirmed during the payment process. 

Subject specialists, industry authorities and experienced academics: the tutors who teach modules on our PG Dip Artificial Intelligence are experts in this field of computing.

What our students say

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Erin Lovell -Essex Online MBA

You are smart, capable, and strong. Repeat that to yourself as many times as you need to per day until you believe it.  

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