24 months
Duration
5918 GBP/year
5918 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Designed specifically for those without a professional or academic background in computer science, this Data Science course from University of Essex Online will provide the technical foundation needed to succeed in this industry, where qualified professionals are highly sought-after.

Visit the official programme website for more information

Overview

Organisations are increasingly seeking to turn the raw data they collect into meaningful information for tackling business issues, and this Data Science course from University of Essex Online 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.

Your future

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.

Programme Structure

Courses include:

  • The Data Professional 
  • Numerical Analysis 
  • Deciphering Big Data 
  • Visualising Data 
  • Machine Learning 
  • Research Methods and Professional Practice 
  • MSc Computing Project

Key information

Duration

  • Part-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

180 alternative credits

Delivered

Online

Academic requirements

GPA admission requirements GPA
Required

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • 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.
  • 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.

Tuition Fee

To alway see correct tuition fees
  • International

    5918 GBP/year
    Tuition Fee
    Based on the tuition of 11836 GBP for the full programme during 24 months.
  • National

    5918 GBP/year
    Tuition Fee
    Based on the tuition of 11836 GBP for the full programme during 24 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Science
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University of Essex Online

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