Professionals with the ability to interrogate datasets by applying analytical and machine learning techniques to describe and predict business performance are in high demand worldwide. Our master’s degree in data analytics is designed to equip you with the technical expertise needed for a career in industry, this course will prepare you for roles in analytics by developing your technical expertise and professional skills in business intelligence and data-driven decision-making.
The first semester modules focus on core topic areas such as business intelligence and analytics, data warehouse design, time series forecasting and big data applications, enabling you to gain insights into large multivariate datasets and apply analytical and problem-solving skills to explore business opportunities and challenges faced by data scientists when working with modern business intelligence and analytics systems.
In the second semester, you will apply your technical knowledge and further progress your analytical expertise by focusing on specific data science subject areas such as statistical modelling, research methods, data mining and machine learning methods. You will also be encouraged to demonstrate your technical and analytical abilities in response to real-world problems during your final-semester individual project.
You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject.
We are happy to consider equivalent qualifications from anywhere in the world.
English language requirements
If English is not your first language an IELTS score of 6.0 overall with 5.5 in each band (or equivalent) when you start the course is essential.
This course prepares graduates for business intelligence, data mining and machine learning and AI–related roles within any target industry. There is a very high market demand for SAS, AI, and analytics expertise, and our graduates will be able to take up such opportunities. You will also be well placed to take up more general management and business information systems development roles within industry, and to undertake academic research in data analytics, AI, and machine learning.
Data Analytics Infrastructure
Big Data Applications
Data Mining Techniques and Methods
Project proposal, Planning and project management (PPPM)
PGT Project
A top 25 university in the Uni Compare rankings, we are also rated a 5-star ‘excellent’ institution by QS, a world leader in evaluating higher educati...