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

Program Overview

This 2-year MSc in Computational and Software Techniques in Engineering focuses on Big Data processing and intelligent data analysis. Students gain expertise in high-performance computing, cloud computing, machine learning, and data analytics through taught modules, a group project, and an individual research project. Graduates are highly sought after by employers in various industries, including finance, telecommunications, and research.

Program Outline

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

Degree Overview:

This specialist 2-year MSc in Computational and Software Techniques in Engineering focuses on the critical area of Big Data processing and intelligent data analysis.

Students gain an in-depth understanding of the enabling technologies behind these areas, including:

• High performance computing
• Cloud computing
• Machine learning
• Data analytics
• The program provides a unique combination of taught modules (40%), a group project (20%), and an individual research project (40%).
• This ensures students develop a strong theoretical foundation and gain valuable practical experience through hands-on project work.
• The overall objective of this MSc option is to equip students with the skills and knowledge necessary to develop, implement, and analyze high-performance software solutions using AI techniques for the management, analysis, and interpretation of Big Data.

Outline:

Year 1:

• Compulsory Modules (120 Credits):
• C++ Programming
• Management for Technology
• Small-Scale Parallel Programming
• Cloud Computing
• High Performance Technical Computing
• Advanced Java and Advanced Python
• Machine Learning and Big Data
• Internet of Things
• Artificial Intelligence
• Group Project (40 Credits):
• Students work in teams to apply their knowledge and skills to a real-world problem.
This project provides a valuable opportunity to develop teamwork, communication, and project management skills.

Year 2:

• Individual Research Project (120 Credits):
• The research project allows students to pursue their individual research interests and apply their knowledge to a specific area of Big Data analysis.
This project can be undertaken in collaboration with industry partners and provides students with the opportunity to make a valuable contribution to the field.

Course Structure:

• The MSc in Computational and Software Techniques in Engineering: Option - Computational Intelligence for Data Analytics is delivered through a combination of lectures, tutorials, and computer-based workshops.
• taught modules
• They are delivered by experienced academics and researchers, who are experts in their respective fields.
• apply their knowledge

Course Schedule:

• course schedule
The schedule outlines the specific dates and times for lectures, tutorials, workshops, and the group project.
• Module Descriptions:
• C++ Programming:
This module covers the essential concepts of object-oriented programming and provides students with the skills to design and write efficient C++ programs.
• Management for Technology: This module provides students with an understanding of the key management concepts and practices needed to successfully manage technology-based organizations.
• Small-Scale Parallel Programming: This module explores techniques for parallelizing programs to take advantage of the computational power of multi-core processors and other parallel hardware architectures.
• Cloud Computing: This module covers the fundamentals of cloud computing, including the underlying technologies, deployment models, and service offerings available through cloud platforms such as AWS, Google Cloud, and Microsoft Azure.
• High-Performance Technical Computing: This module teaches students how to use high-performance computing resources effectively to solve demanding scientific and engineering problems.
• Advanced Java and Advanced Python: This module provides students with an in-depth understanding of these two widely-used programming languages, covering advanced features and programming techniques.
• Machine Learning and Big Data: This module explores the principles behind machine learning algorithms and demonstrates their application to real-world Big Data problems.
• Internet of Things: This module examines the technologies, protocols, and applications related to the Internet of Things, providing students with an understanding of the field's potential and challenges.
• Artificial Intelligence: This module covers the fundamental concepts of Artificial Intelligence, exploring various techniques and their applications in solving complex problems.

Assessment:

• examinations, coursework assignments, and presentations
The specific assessment method for each module will be outlined in the module handbook.
• The group project is assessed based on a written report, a presentation, and a peer assessment.
• The individual research project is assessed based on a dissertation and a viva voce examination.

Teaching:

• Students in this MSc program benefit from a
• high-quality teaching experience
, delivered by
• experienced teaching staff
.
• These staff members are active researchers in their respective fields, ensuring the program remains at the forefront of leading-edge research.
• Cranfield University is renowned for its strong links with industry, and this MSc program is no exception.
Many of the program's modules incorporate case studies and examples from the real world, ensuring students receive a relevant and practical education.
• Cranfield University also has access to world-class computing and laboratory facilities, which students can access to gain hands-on experience with advanced technologies.

Careers:

• FACTSET, Ocado, SAP, HSBC, IBM, and BluAge
• finance, telecommunications, medical, and research organizations
• The MSc program also provides a strong foundation for students who wish to pursue further research studies at the PhD level.

Summary:

The MSc in Computational and Software Techniques in Engineering: Option - Computational Intelligence for Data Analytics is a highly-regarded program that equips students with the necessary skills and knowledge to succeed in this exciting and fast-growing field.

The program's focus on the enabling technologies of Big Data processing and intelligent data analysis ensures that students are prepared to meet the demands of the modern business world.