find your perfect postgrad program
Search our Database of 30,000 Courses
Cranfield University: Computational Intelligence for Data Analytics option - MSc in Computational and Software Techniques in Engineering
| Institution | Cranfield University View institution profile |
|---|---|
| Department | Cranfield University |
| Web | https://www.cranfield.ac.uk |
| study@cranfield.ac.uk | |
| Telephone | +44 (0)1234 758083 |
| Study type | Taught |
MSc
Summary
Computationally intelligent data handling algorithms are crucial in a wide range of sectors that require fast and automated decision-making. These industries typically include financial, manufacturing, aerospace, automotive and defence.
This specialist option of the MSc Computational and Software Techniques in Engineering will enable you to develop a solid base of computer science skills and focused expertise, necessary to develop fast algorithms capable of dealing with a range of complex problems where intelligent decision-making or future predictions are based on understanding of data collections
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | Cranfield Campus College Road, Cranfield Bedfordshire Milton Keynes MK43 0AL |
Summary
Computationally intelligent data handling algorithms are crucial in a wide range of sectors that require fast and automated decision-making. These industries typically include financial, manufacturing, aerospace, automotive and defence.
This specialist option of the MSc Computational and Software Techniques in Engineering will enable you to develop a solid base of computer science skills and focused expertise, necessary to develop fast algorithms capable of dealing with a range of complex problems where intelligent decision-making or future predictions are based on understanding of data collections
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | Cranfield Campus College Road, Cranfield Bedfordshire Milton Keynes MK43 0AL |
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.
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | Cranfield Campus College Road, Cranfield Bedfordshire Milton Keynes MK43 0AL |
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.
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | Cranfield Campus College Road, Cranfield Bedfordshire Milton Keynes MK43 0AL |
Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology and management.
We have many world-class, large-scale facilities, including our own global research airport, which offers a unique environment for transformational education and research, living laboratory for testing transformative technologies and new approaches to deliver enhanced social, economic and environmental outcomes.
Cranfield teaches over 5,000 postgraduate students each year and employs around 1,500 academic and support staff. Our staff-to-student ratio is one of the best for any university in the UK.
As one of the …
View ProfileNot what you are looking for?
Browse other courses in Data analysis, Engineering, Computation engineering, Data communications, Information technology, Data-processing management, Applied computer studies, Data processing, Software engineering, Software or Computational mathematics, or search our comprehensive database of postgrad programs.Postgraduate Bursary Opportunity with Postgrad.com
Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.
Click here