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Cranfield University MSc in Computational and Software Techniques in Engineering - Computational Intelligence for Data Analytics Option
Cranfield University

MSc in Computational and Software Techniques in Engineering - Computational Intelligence for Data Analytics Option

1 up to 3 Years

English

Full time, Part time

01 Jul 2025

Sep 2025

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On-Campus

Key Summary

    About: The MSc in Computational and Software Techniques in Engineering offers a specialization in Computational Intelligence for Data Analytics. This program focuses on modern techniques to analyze and interpret complex data sets using various computational methods. It emphasizes both theoretical and practical aspects, preparing students to tackle real-world challenges in engineering through data-driven solutions.
    Career Outcomes: Graduates can pursue careers in data analysis, software development, and engineering consultancy. Potential roles include data scientist, software engineer, and machine learning engineer, offering opportunities in various sectors that rely on advanced data analytics.

Introduction

Overview

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 defense.

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 an understanding of data collections.

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Program Admission Requirements

Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.

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