Aston University · UK

Business Analytics

Campus Masters Full Time

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Delivery

Campus

Study mode

Full Time

Level

Masters

Starts

May 2026

Introduction

Business Analytics is a May 2026 Masters program taught at Aston University, UK. The program is offered in campus-based modes with full-time (1–2 years) options.

Course Overview

The Master's degree in Business Analytics at Aston University is designed to equip students with the analytical skills and knowledge essential for data-driven decision-making in various business environments. This program focuses on critical areas such as data management, predictive analytics, and business intelligence. Understanding these components allows students to navigate and interpret vast amounts of data, leading to informed strategic decisions.

The course structure encompasses a blend of theoretical frameworks and practical applications. Students engage in modules covering essential topics, including statistical analysis, data mining, and machine learning, helping to develop a robust understanding of both the underpinnings of analytics and its real-world applications. Through collaborative projects, case studies, and hands-on experience with industry-standard tools, students are prepared to tackle complex business challenges.

Studying in the United Kingdom offers international students the opportunity to immerse themselves in a diverse academic culture renowned for its excellence in research and business education. Aston University's connections with various industries enhance employability and provide insights into the latest trends in business analytics.

Admission Requirements

The minimum requirements for admission in Business Analytics at Aston University for all applicants (Domestic or International) are:

program specific academic requirment set by Aston University.
English Language OR any other language requirments as set by Aston University as pre-requiste for admission in Business Analytics.

Note: Please check the university website in the link below.

Entry Requirements

Applicants are typically expected to possess an undergraduate degree in a relevant field such as business, data science, or mathematics. Additionally, practical experience in data analysis or related areas is advantageous. Candidates should demonstrate strong analytical and quantitative skills essential for success in this program.

English Language Requirements

International students must provide proof of English proficiency, usually via IELTS or TOEFL scores. A typical IELTS score of 6.5 overall, with no less than 6.0 in any component, or a TOEFL score of 90 with specified subsystem scores may be expected. However, exact requirements should be verified on the university's official website.