Course summary
In today's data-driven world, where vast amounts of information are generated every second, intelligent data analytics and advanced computing techniques are essential for building systems that can make fast, accurate, and automated decisions. The surge of data from IoT devices, social media, and business transactions has created an urgent need for AI-powered methods to process and interpret this data in real time. Mastering the ability to analyse and extract insights from these massive data sets — whether in batch or real-time — can provide significant competitive advantages in industries such as finance, manufacturing, retail, aerospace, automotive, and defence. In this course, you will develop a strong foundation in computer science, artificial intelligence and data analytics, essential for designing and validating cutting-edge algorithms. These skills will enable you to tackle complex challenges where AI-driven decision-making and predictive models are powered by Big Data, helping you apply effective, real-world solutions. This specialist pathway within the MSc Computational and Software Techniques in Engineering focuses on the key technologies for Big Data processing, including high-performance computing and cloud-based infrastructures. You will also dive deep into algorithm development, machine learning, and data analytics. Additionally, the course offers hands-on experience with industry-standard tools like Hadoop and Spark, ensuring you gain practical expertise in solving real-world problems using modern AI techniques.
Assessment method
Taught modules 45%, Group project 5%, Individual research project 50%
Entry requirements
A first or second class UK honours degree (or equivalent), in aeronautical, mechanical or electrical engineering or computer science or be applying as part of a recognised double-degree programme with their home EU institution. Entry level C programming experience is advisable but not required. Applications from candidates with lesser qualifications but with considerable relevant work experience will be considered.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
Cranfield University
Cranfield
Bedford
MK43 0AL