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Home > Study in UK > Cranfield University - Cranfield Campus > Master of Science in in Computational and Software Techniques in Engineering with Computational Intelligence for Data Analytics option

Master of Science in in Computational and Software Techniques in Engineering with Computational Intelligence for Data Analytics option Cranfield University - Cranfield Campus Cranfield University - Cranfield Campus, UK

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GBP 27910

Annual Tuition Fee

!
*Subject to change and other fees
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 Free

Application Fee

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12 months

Duration

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6.5

IELTS

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92

TOEFL

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55%

Min GPA

Program Overview

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.

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Additional Information

Program Level Master's Degree

College/University Processing Time 56 Days

Program Format Full-Time

Post-Study Work Visa (PSWV) work permit

Program Intake

Open

Sep 2025

Closed

Oct 2024

General Admission Requirement

    Academic Requirement

    • Minimum Level of Education Required: To be accepted for this program, students must have a Bachelor's degree.

    6.5 IELTS Score
    92 TOEFL Score Minimum Overall Score
    65 PTE Score Minimum Overall Score
    120 Duolingo Minimum Overall Score
    55% CGPA Minimum Overall Score

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    Tuition Fee

    The values given below are estimated figures, excluding extra charges like material fee, student activity fees, athletic fees, health care, etc., for courses. To know more, please visit the Programs page.

    Average Tuition Fee Per Year

    27910

    Tuition Fee
    (GBP)

     Free

    Application Fee
    (GBP)

    9207 Per year

    Average Cost of Living
    (GBP)

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    The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

    Check program website for more information about funding options.

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