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Different course options

Study mode



2 years

Start date

Contact University

Key information

Qualification type

MSc - Master of Science

Subject areas

Business Studies Business Modelling / Analysis Data Analysis

Course type


Course Summary

Improve your understanding of how to use data to inform strategic decision-making at Aston University. Our flagship distance learning MSc Business Analytics programme welcomes professionals from all disciplines seeking to develop the knowledge and technological skills that are in high demand by organisations around the world. Prepare for a successful career as you work through practical business applications, study relevant case studies and gain hands-on experience with today’s most in-demand technologies.

A Unique Skill Set

Upon completion of the MSc Business Analytics, you will develop and refine a wide range of business skills demanded by employers worldwide including:

  • Problem-Solving: Develop competence in analytical tools and techniques that lead to effective management and change within data-driven teams and organisations.
  • Strategic Decision-Making: Learn how to uncover patterns, unknown correlations, market trends and customer preferences to make informed decisions.
  • Analytical Expertise: Gain confidence and experience needed to practically apply software packages, machine learning algorithms, text analytics and predictive modelling.


Dissertation (60 Credits)

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK/ international students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

To enter one of the online programmes in the MSc Business Analytics Suite, you should possess a good UK honours degree (minimum lower second class) or an equivalent overseas degree recognised by Aston University. All applicants must submit the following: Official academic transcript(s) of your grades to date; Two written recommendations, preferably at least one academic referee; Current CV. A quantitative undergraduate degree is preferred. We will also consider applicants with a non-quantitative degree with relevant work experience or alternative quantitative qualifications e.g. R and Python.