The details
Location: Online Mode of study: Part-time Qualification: Online professional course (20 credits) Study duration: 13 weeks
Start date: Awarding body: University of Essex Delivered by: Kaplan Open Learning For queries: Call +44 (0) 1206 489 358

Learn how to apply machine learning techniques to real-world problems in this online professional course.  

You’ll begin by investigating the theories and practices underlying machine learning, before moving on to analyse a framework of learning models. You’ll also consider key paradigms and algorithms within the field and conclude by designing a complete application system that makes use of at least one component of machine learning. 

You’ll cover a range of interesting topics, including: 

  • data analytics based on machine learning 
  • using machine learning tools and algorithms to gather information that helps analyse complex problems  
  • machine learning implementation 

At the end of the course, you’ll have the opportunity to study one of our popular postgraduate computing courses. 


Why we’re great 

  • Demonstrate your personal growth and continuous professional development with an individual module e-portfolio.  
  • Develop the skills needed to be a machine learning specialist.  
  • Explore hands-on cases of real-world data analytics.  
  • Study with an institution boasting over 15 years’ experience delivering high quality online education.  
  • Receive your online professional course certificate from a top 30 UK university (Complete University Guide 2025). 

You’ll study the following topics as part of the online professional course: 

  • fundamental concept of machine learning – types of learning, bias and variance, confidentiality and ethics  
  • unsupervised learning – clustering  
  • supervised learning – decision tree and Random Forest; linear regression and classification  
  • reinforced learning – neutral net and deep learning 
  • evaluation and optimisation of models – including bootstrapping 
  • designing a machine learning system – including dealing with risk 
  • latest developments in machine learning 

Teaching methods 

Studying online gives you the freedom to complete your qualification when and where it suits you – at home, during your lunch hour or in a café. 

Our online professional 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 module content with fellow students 
  • live Q&A sessions with your tutors 
  • a comprehensive eLibrary of textbooks and academic journals 
  • support from academic staff and your dedicated Student Support team 

To ensure you receive high-quality tutor support, each class is capped at 20 students. 


Assessment methods 

You’ll be assessed exclusively through assignments. These include assessed discussion forums, written assignments and journal entries. 

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 
  • you’ll be able to clearly view your marks in your gradebook whenever you log on to the learning platform 
  • there’s a seven-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 


Study duration 

Our Machine Learning online professional course has a study duration of 13 weeks, including a one-week induction to help you settle into online study. 

The Machine Learning online professional course offers a whole host of opportunities. This will be beneficial whether you’re looking to climb the career ladder or take the first step into business – helping you stand out amongst the competition. 

If you wish to continue your studies and boost your prospects, you could choose additional computing online professional courses. Alternatively, you could progress onto one of the following postgraduate certificates (60 credits), postgraduate diplomas (120 credits) or full Masters degrees (180 credits): 

Please note, acceptance on to a postgraduate qualification is subject to meeting the entry requirements of your chosen programme. 

No formal qualifications or experience is necessary.  

As our courses are delivered in English, a high proficiency of English is required. If English isn’t your first language, your 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’re a national of, or have completed a qualification equivalent to a UK degree in, any of these countries. 

Full tuition fee:
£1,386 UK / £1,455 International (2024-25) Δ

  • Our online professional courses are fully inclusive – all teaching materials and required reading are included. 
  • Alumni discount of 10% of the tuition fee available if you’re a previous graduate with the University of Essex or University of Essex Online.   
  • 10% anniversary scholarship available when you enrol by 31 July 2024.
  • We offer a 14-day moneyback guarantee, so if you decide your course isn’t for you during the first 14 days, we’ll give you a full refund. Terms and conditions apply. 

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 on our Machine Learning online professional course are experts in the business field.

What our students say


Joy Ngugi -MSc Data Science

I can maintain my job while pursuing my studies, enabling me to apply new skills directly to my work and vice versa. 

With a background in computer science, I always knew I wanted to further my education with a postgraduate degree. In the fourth year of my studies, I was introduced to machine learning and this became an instant passion! Having excelled in mathematics from an early age, this solidified my decision...

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