MSc Big Data Analytics
Liverpool, United Kingdom
DURATION
30 Months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
GBP 16,868
STUDY FORMAT
Distance Learning
Introduction
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.
Admissions
Scholarships and Funding
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 20%. To find out about the scholarship offered in your region, please make an enquiry now.
- Corporate discounts of 10% are available for organisations looking to invest in the skills of three or more employees. For more information, please visit our website where you can speak to one of our admissions advisors to learn how you can upskill your team for organisational success.
- A UK Scholarship of 10% is available for students residing in the United Kingdom. This scholarship is available for our intakes in the 2024/25 academic year for all full master’s awards.
Further support
We aim to make it as easy as possible for you to cover the costs of your studies. You could benefit from:
- A simple monthly payment plan is provided to spread the cost over the duration of the study.
- Students living in England may be eligible for a postgraduate loan to cover some of the programme costs.
Curriculum
Why study this subject?
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.
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)
- Elective module: choose one:
- 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)
- Research Methods in Computer Science (15 credits)
- Computer Science Capstone Project (60 credits)
Teaching methods and style
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.
Methods of 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.
Program Tuition Fee
Career Opportunities
The programme follows a career-driven curriculum, developed by industry leaders and experts to ensure the taught skills and knowledge are directly applicable to a workplace. Graduates will be able to successfully apply their newly acquired skills and knowledge in demanding roles within a range of sectors. Potential job titles include Data Scientist, Big Data Consultant, Machine Learning Engineer and Research Scientist.
Program 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.