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

How do enterprise-based systems use data to keep businesses competitive? Find out in our Into Data Science online professional course. 

You’ll gain a useful introduction to the tools that allow you to clearly present data in the form of charts, graphs and reports on user-friendly dashboards. Not only that, you’ll also learn how to critically analyse the architecture, design and development of large-scale datasets.  

You’ll explore: 

  • data policies and regulatory frameworks as part of data compliance  
  • how to align data to business objectives and goals 
  • critically evaluating and managing an effective data system using business intelligence (bi) tools 
  • the role of mathematics and statistics in data science  

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


Why we’re great 

  • Learn the ethical, social and professional responsibilities in managing a data pipeline.  
  • Connect with peers worldwide through interactive virtual seminars and discussion forums. 
  • Study with an institution boasting over 15 years’ experience delivering high quality online education.  
  • On completion of your online professional course, progress to study one of our full Masters computing degrees. 
  • Access your learning materials 24/7 on our innovative virtual learning environment (VLE). 

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

  • business intelligence 
  • maths and statistics  
  • virtualisation 
  • data analytics 
  • cloud computing 
  • data warehouse 
  • data mining 
  • data lakes  
  • assessing the value of data  
  • data policies, management and I strategy 
  • compliance and regulatory frameworks  
  • ITLT (service strategy, design, transition, operation and improvement) 
  • enterprise data architecture  

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 Into Data Science online professional course has a study duration of 13 weeks, including a one-week induction to help you settle into online study. 

The Into Data Science 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 our PG Cert Enterprise IT Management (60 credits); PG Dip Enterprise IT Management (120 credits); or the full MSc Enterprise IT Management (120 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 Into Data Science 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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