Data Analytics and Technologies (online) Master of Science - MSc (UG)
Course Overview - Data Analytics and Technologies (online) Master of Science - MSc (UG)
Develop advanced expertise in data analytics, machine learning, and modern data technologies, preparing you for high-demand roles in data-driven organisations.
This MSc Data Analytics and Technologies programme is designed to develop advanced technical expertise in analysing, interpreting, and managing data within modern organisations. You will gain practical experience in areas such as data analysis, machine learning, data visualisation, and applied analytics, preparing you for roles in data science, business intelligence, and data-driven decision-making.
The pro...
Develop advanced expertise in data analytics, machine learning, and modern data technologies, preparing you for high-demand roles in data-driven organisations.
This MSc Data Analytics and Technologies programme is designed to develop advanced technical expertise in analysing, interpreting, and managing data within modern organisations. You will gain practical experience in areas such as data analysis, machine learning, data visualisation, and applied analytics, preparing you for roles in data science, business intelligence, and data-driven decision-making.
The programme combines hands-on technical work with real-world datasets, enabling you to extract insights, build analytical models, and communicate findings effectively. You will work with industry-relevant tools and approaches, including modern data platforms, machine learning techniques, and cloud-based data processing.
Developed with input from industry, the programme equips you with both technical depth and professional skills, including problem-solving, communication, and critical thinking, enabling you to adapt to rapidly evolving technologies.
What you will learn
* Data analysis, visualisation, and statistical techniques
* Machine learning and AI methods, including NLP and GenAI
* Data engineering and modern data technologies
* Business analytics and data-driven decision-making
* Research, problem-solving, and professional practice
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