MSc Big Data Analytics (Online)
Course Overview
This online Big Data Analytics programme provides a specialist qualification in a rapidly growing field that is transforming industries worldwide. You will gain a comprehensive understanding of the underlying technology and its practical application to solve real-world business problems, all delivered through a flexible 100% online format.
Key Program Highlights
- Earn a prestigious qualification from the University of Liverpool's renowned Department of Computer Science
- Master both the technological foundations and the practical business application of big data analytics
- Study 100% online in an international virtual classroom for a unique global perspective
- Learn from leading experts in computer science, artificial intelligence, and emerging technologies
- BCS accredited, meeting the academic requirement for Chartered IT Professional status
Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
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Course Overview
This online Big Data Analytics programme provides a specialist qualification in a rapidly growing field that is transforming industries worldwide. You will gain a comprehensive understanding of the underlying technology and its practical application to solve real-world business problems, all delivered through a flexible 100% online format.
Key Program Highlights
- Earn a prestigious qualification from the University of Liverpool's renowned Department of Computer Science
- Master both the technological foundations and the practical business application of big data analytics
- Study 100% online in an international virtual classroom for a unique global perspective
- Learn from leading experts in computer science, artificial intelligence, and emerging technologies
- BCS accredited, meeting the academic requirement for Chartered IT Professional status
Requirements
The requirements may vary based on your selected study options.
Modules
- Global Trends in Computer Science
- Data Visualisation and Warehousing
- Machine Learning in Practice
- Cloud Computing
- Security Engineering and Compliance
- Deep Learning
- Applied Cryptography
- Cyber Forensics
- Cybercrime Prevention and Protection
- Information Technology Leadership
- Multi-Agent Systems
- Natural Language Processing and Understanding
- Reasoning and Intelligent Systems
- Robotics
- Security Risk Management
- Strategic Technology Management
- Technology, Innovation and Change Management
- Research Methods in Computer Science
- Computer Science Capstone Project
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Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
