MSc Big Data and Business Intelligence

Offer response
2 days after your application is submitted
Backlogs accepted
This course allows a maximum of 15 backlogs
Compare Universities Illustration
Compare Courses!
You can now compare courses and find which one suits you the best.

Course Overview

This innovative master's program equips you with the advanced engineering skills to design and develop cutting-edge big data systems and distributed decision-support software. The curriculum focuses on modern methodologies, including data analytics, machine learning, and business intelligence, taught through a rigorous software engineering lifecycle lens. Drawing on our research excellence, this BCS-accredited course is designed to give you a significant competitive advantage in the fast-growing data domain.

Key Program Highlights

  • Master modern engineering methods in data analytics, machine learning, and business intelligence
  • Develop proficiency in essential programming languages like Python and R
  • Gain a comprehensive, life-cycle view of software development for building robust applications
  • Earn a degree accredited by BCS, The Chartered Institute for IT, meeting the academic requirements for Chartered Engineer (CEng) status
  • Leverage research-led teaching to gain a competitive edge in the high-demand field of big data

Requirements

The requirements may vary based on your selected study options.





















Modules

  • MSc Project
  • Big Data
  • Advanced Database Technologies
  • Applied Machine Learning
  • Programming Fundamentals for Data Science
  • Graph and Modern Databases
  • Data Warehousing and Business Intelligence
  • Essential Professional and Academic Skills for Masters Students
  • Software Tools and Techniques
  • User Centred Web Engineering
  • Clouds, Grids and Virtualisation
  • Systems Modelling
  • Data Visualisation
The all-in-one solution for your study-abroad needs
Download the Edvoy app now

Related courses










Offer response
2 days after your application is submitted
Backlogs accepted
This course allows a maximum of 15 backlogs