MSc Data Analytics

Offer response
3 - 5 days after your application is submitted
Backlogs accepted
This course accepts backlogs
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Course Overview

This MSc in Data Analytics creates versatile problem-solvers by blending theory, intensive practice, and direct industry engagement to tackle real-world business challenges. The program provides a comprehensive skill set for extracting knowledge from data and making informed technological decisions, preparing graduates for a variety of sectors. Developed by a unique collaboration of three expert departments, the curriculum offers a broader, more integrated expertise than typical competitor programs.

Key Program Highlights

  • Blended learning approach combining theoretical principles with intensive practical application
  • Unique interdisciplinary curriculum developed by Management Science, Mathematics & Statistics, and Computer Science departments
  • Focus on making informed technology decisions to solve business problems and extract knowledge from data
  • Optional client-based dissertation projects with host organizations arranged by the department
  • Diverse assessment through written assignments, exams, team projects, and presentations

Requirements

The requirements may vary based on your selected study options.





















Modules

  • Big Data Fundamentals
  • Foundations of Statistics
  • Data Analytics in R
  • Business & Decision Modelling
  • Optimisation for Analytics
  • Data Analytics in Practice
  • Database Fundamentals
  • Evolutionary Computation for Finance 1
  • Evolutionary Computation for Finance 2
  • Legal, Ethical & Professional Issues for the Information Society
  • Fundamentals of Machine Learning for Data Analytics
  • Machine Learning for Data Analytics
  • Financial Econometrics
  • Bayesian Spatial Statistics
  • Statistical Machine Learning
  • Data Dashboards with R Shiny
  • Stochastic Modelling for Analytics
  • Business Simulation Modelling
  • Risk Analysis & Management
  • Business Information Systems
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Offer response
3 - 5 days after your application is submitted
Backlogs accepted
This course accepts backlogs