About this program
PG Dip Data Science
Start making decisions powered by data with this innovative conversion course.
This PG Dip Data Science will prepare you to enter this high-demand sector even if you don’t have a computing background. You will develop your ability to collect, analyse and visualise data, and explore a broad range of topics designed to give you a solid grounding across the entire field of study.
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. Towards the end of your studies you will have the opportunity to advance onto a full Masters.
Admission requirements
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.
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.
For more information about admission requirements, please visit the university website.
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Program content
- The Data Professional
- Numerical Analysis
- Deciphering Big Data
- Visualising Data
- Machine Learning
- Research Methods and Professional Practice
Program delivery
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.
Study duration
Our PG Dip Data Science 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 of our courses have regular start dates throughout the year.
Tuition
- Full tuition fee for EU students: £7,714 (2021-22)
- Full tuition fee for Non-EU students: £7,714 (2021-22)
Career paths
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 program 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.
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About this institute
University of Essex Online
University of Essex Online provides a wide range of 100% online and part-time undergraduate and postgraduate courses in business, computing, education, health, law, criminology and psychology. Our students benefit from a flexible approach to learning while receiving the same dedicated...
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University of Essex Online
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