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  1. Home
  2. Digital Skills
  3. Computer
  4. Masters
  5. MSc Big Data Analytics
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MSc Big Data Analytics

Study Method
Online
Institution
University of Liverpool Online Programmes
Start Date
11th October 2022
Course Fees
£15,300
University of Liverpool Online Programmes Courses

Course overview

Further your computer science career with a specialist postgraduate degree in big data analytics.

This online master’s programme has been designed to equip students with expertise in an area of computing that has seen recent and rapid growth, and in which there is expected to be a significant skills shortage.

You will have the opportunity to gain a comprehensive understanding of both the technology that supports big data analytics and the practical application of this technology in the context of business information and real-world problems.

To achieve a full master’s degree, you will be required to complete 180 credits. This programme is also available as a postgraduate diploma (PG Dip) which amounts to 120 credits, and a postgraduate certificate (PG Cert) which amounts to 60 credits. Students who complete the PG Cert and PG Dip will have the opportunity to progress to a full master’s degree.

The programme is accredited by the BCS, The Chartered Institute for IT, for the purposes of meeting the further learning academic requirement for registration as a Chartered IT Professional.

Expand all and read more

Job outcomes

  • Data Scientist
  • Big Data Consultant
  • Machine Learning Engineer
  • Research Scientist
Want to see more job outcomes and how your future could change?
Get the course guide

What you'll learn

The Big Data Analytics MSc follows a career-driven curriculum, developed to provide practical skills and knowledge directly applicable to a workplace. Throughout your studies, you will explore a wide range of programme modules.

Study method

  • Online
  • Blended
  • In-class
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Duration study load

  • 30 months

Entry requirements

All applications will be considered on a case-by-case basis. If you want to discuss your previous qualifications and experience before applying, please contact our admissions team.

Applicants should possess either:

  • A minimum of a 2:2 class degree in Computer Science or a closely related subject, equivalent to a UK bachelor’s degree, coupled with two years experience in employment; or
  • Professional work experience and/or other prior qualifications, which will be considered on a case-by-case basis.

All applicants must provide evidence that they have an English language ability equivalent to an IELTS (academic) score of 6.5.

If you don’t have an IELTS or equivalent certificate, you can take our free online English test to assess your proficiency. You don’t need to prove your English ability if you are a national or have completed a qualification equivalent to a UK degree.

 

Find out more about the entry requirements for this course
Get the course guide

Assessment

Assessment is exclusively through online assignments rather than examinations. You will be assessed through a range of activities, including written assignments, presentations, discussion forum participation and journal entries.

Delivery

This programme is designed to be studied wholly online and part-time. Teaching is delivered through our state-of-the-art Virtual Learning Environment (VLE), which provides students with access to all resources required for interactive study online. On this platform, you will be encouraged to work collaboratively with classmates and actively read around your topic through our comprehensive library of eBooks and journals.

Subjects

Core Modules
Global Trends in Computer Science (15 credits)
Data Visualisation and Warehousing (15 credits)
Machine Learning in Practice (15 credits)
Cloud Computing (15 credits)
Security Engineering and Compliance (15 credits)
Deep Learning (15 credits)
Research Methods in Computer Science (15 credits)
Computer Science Capstone Project (60 credits)
Elective Module
Choose one of the following
  • Applied Cryptography (15 credits)
  • Cyber Forensics (15 credits)
  • Cybercrime Prevention and Protection (15 credits)
  • Information Technology Leadership (15 credits)
  • Multi-Agent Systems (15 credits)
  • Natural Language Processing and Understanding (15 credits)
  • Reasoning and Intelligent Systems (15 credits)
  • Robotics (15 credits)
  • Security Risk Management (15 credits)
  • Strategic Technology Management (15 credits)
  • Technology, Innovation and Change Management (15 credits)
Want more information about the subjects for this course?
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Payment options

MSc: £15,300

PGDip: £10,200

PGCert: £5,100

The tuition fee is fully inclusive of all costs: teaching materials, core textbooks, assessments and resits. If you live in England, you may be eligible for a postgraduate loan to cover some of the programme costs. If you are not eligible for a student loan, you will be offered a simple monthly payment plan to spread the cost of your tuition over the duration of your studies.

Scholarships and Discounts

  • 10% discount for University of Liverpool alumni.
  • You will receive a 5% discount if you choose to pay the full tuition fee upfront.
  • Regional Scholarships of up to 15%. To find out about the scholarship offered in your region, please make an enquiry now.

*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.

Corporate discounts of 10% are available for organisations looking to invest in the skills of three or more employees. For more information, please submit an enquiry and you will be contacted by one of our admissions advisors to learn how you can upskill your team for organisational success.

Find out more about the payment options for this course
Get the course guide

About University of Liverpool Online Programmes

University of Liverpool is a member of the elite Russell Group of research-led UK universities. They have been offering online programmes since 2000 and are one of Europe's leading providers of wholly online postgraduate degrees. Their programmes are designed specifically for online learning; teaching and assessment are delivered through a state-of-the-art learning platform, providing students with access to all resources required for interactive study online.

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Job outcomes

  • Data Scientist
  • Big Data Consultant
  • Machine Learning Engineer
  • Research Scientist
Want to see more job outcomes and how your future could change?
Get the course guide

Study method

  • Online
  • Blended
  • In-class
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coursesonline.co.uk customers are now eligible to apply for an XO Student Discount Card.

Enrol in a course today to unlock exclusive deals.

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Complete the form and learn about:

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  • Start dates
  • Subjects
  • Study method
  • How to get help and contact information
  • Everything you need to know before enrolling!

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