The details
Location: Online Mode of study: Part-time Qualification: MSc Indicative duration: 2 years
Start date: Tuition fee: £11,836 For queries: Call +44 (0) 1206 489 358 Delivered by: Kaplan Open Learning

Harness the power of data with our innovative data science conversion degree. Designed specifically for those without a professional or academic background in computer science, this course will provide the technical foundation needed to succeed in this industry, where qualified professionals are highly sought-after.

Organisations are increasingly seeking to turn the raw data they collect into meaningful information for tackling business issues, and this MSc Data Science will equip you with the skills needed to extract, analyse, interpret and present data from a variety of sources. You will explore a broad range of topics and take part in collaborative projects designed to prepare you for the reality of working within this fast-paced field.

You will first be introduced to the background context and theoretical concepts within the discipline, from data collection all the way through to using data to support business decisions. Next up, you will cover core mathematical and statistical methods and their real-world applications within this domain. You will go on to explore further topics including:

  • data wrangling with a focus on big data
  • the underpinning concepts for processing and analysing data sets for presentation
  • machine learning and the application of algorithms to learn patterns in data and gain value from it

Throughout the course you will develop a number of programs and applications, and the course will focus on the programming languages Python, SQL and R. Your degree will culminate in the individual production of a computing artefact. If anything captures your interest during the course that you to want to study in more detail, this is your opportunity to spend a third of the course focusing on it.

Following a successful advisory visit, BCS, The Chartered Institute for IT, will undertake a full accreditation visit in the 2021/22 academic year, to consider programmes for accreditation towards Chartered IT Professional (partial CITP).

Why we’re great

  • This programme will equip you with all the tools and knowledge needed to make data-driven decisions in any industry.
  • 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 data science vacancies, even if you don’t have a computing background.

How can data support business decisions? Find out on this engaging module. It’s designed not only to equip you with an understanding of concept and key knowledge, but to also make you aware of the ethical and professional responsibilities of the data science professional. Upon completion, you’ll have a solid awareness of common data analysis techniques and processes.

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.

Do you have an appreciation for the diversity of different data types? Then this informative module is for you. You’ll gain a thorough understanding of the impact of big data on business and society, through concepts and skills of data wrangling. Not only that, you’ll also learn about common programming languages such as Python.

Data can be overwhelming to look at when presented in clusters, but did you know there’s a way to make it more interesting? In this valuable module, you’ll learn about the process of data visualisation and presentation skills essential for a data scientist and gain a solid understanding of how professionals make decisions using data.

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.

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.

Undertake a substantive piece of independent work, designed to demonstrate your ability to manage the learning process and achieve successful milestones and targets. During your exciting project, you’ll be able to demonstrate various transferable skills including time and project management, organisation data collection and analysis, and communication.

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 will 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 seminar 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 the support you need from your tutor, we cap our class sizes at around 20 students.

In order to meet the technical requirements for this course, students will need access to a computer with at least 8GB RAM.

 

Assessment methods

Our varied assessment methods allow you to demonstrate your understanding of the course content in a wide range of ways. This can be by engaging in discussion forums throughout your modules, completing programming exercises, participating in team projects, completing reflective journal entries and an e-portfolio, by submitting longer written pieces or by undertaking timed open-book tests at home, without the need to travel to an assessment centre.

We are committed to providing frequent and transparent feedback through the following ways:

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

 

Study duration

Our MSc Data Science has an indicative study duration of 2 years, 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 of our courses have regular start dates throughout the year.

On successful completion of your degree, you will be invited to attend a graduation ceremony at the University of Essex, Colchester Campus.

Organisations worldwide are collecting more data than ever before, but there is a significant skills shortage. Many companies don’t have employees who know how to derive meaningful insights from it, and convert that information into valuable actions. This programme will develop those skills and prepare you for roles such as Data Scientist, Data Engineer, Big Data Analyst, Machine Learning Engineer, Data Modeller, Business Intelligence Lead, Researcher, Qualitative Expert, Data Architect, and Data Product Manager, among others.

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 MSc Data Science, 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 MSc Data Science, 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: £11,836 (2022-23) Δ

  • Designated for postgraduate student loans in England.
  • 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.
  • Partial scholarship available for international students residing in specific regions outside of the UK.
  • 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 that 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. We also charge the same fee for domestic and international students.

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 MSc Data Science are experts in this field of computing.

What our students say

testimonials

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.  

Tell us a bit about yourself.

Things I love: writing, long-distance charity walks, my Jack Russell terrier Jada, virtually all animals, tea, travelling to places I don’t speak the language, and learning. Things I dislike: cooking, butterflies, the sound of forks on teeth and being late.  

Why did you decide to open a sports centre?

My business partner and I had been discussing it for a few years before it all started to come together. We recognized that Bermuda was missing a central, family-friendly, location for practitioners of different martial arts & boxing styles to train. Our goal was to open a purpose-built facility that would be high-quality, affordable, and inclusive. So far, so good!  

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