Business Analytics (Online)

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Aston Online · Business and management

Study a flexible, affordable postgraduate business analytics degree with a globally ranked university and experts in online learning. Delivered by the triple-accredited Aston Business School, our Business Analytics (MSc) programme will equip you with a broad range of analytical skills, from data visualisation to predictive modelling, ensuring you're prepared for the complexities of modern business challenges. This programme is tailored for those eager to master the art of interpreting and leveraging large datasets to improve business performance across any sector. To further enhance your understanding of the business world, you will also gain access to subscriptions for The Financial Times, The Economist, and Harvard Business Review. These leading publications will provide you with in-depth knowledge of business and current economic affairs. As an Aston Online student, you’ll enjoy free access to a vast range of journals, articles, and reports through Aston’s e-library. Is this programme right for you? - You have a strong quantitative background, with a bachelor's degree in mathematics, statistics, computer science, or engineering. - You want to develop expertise in applying analytical techniques to solve business problems. - You are a working professional with experience in data analysis. Still, you want to gain a deeper understanding of business fundamentals and advanced analytical techniques to progress to senior data analyst or business analyst roles. - You are passionate about using data to drive business decisions and are eager to develop your skills in data visualisation, machine learning, and business intelligence. - You are looking for a programme that combines a strong theoretical foundation with practical applications and provides opportunities to work on real-world business problems. - You are a self-motivated learner who is comfortable working with complex datasets and statistical methods. - You are looking for a flexible online programme that can fit around your work and personal commitments. What you will learn Analytical tools proficiency: Become an expert in programming languages (Python, R, SQL) and spreadsheet applications (Excel, SPSS). These skills are crucial for advanced data analysis on large datasets in contemporary business analytics applications. Data visualisation and descriptive statistics: Learn data visualisation techniques and apply descriptive statistics to gain meaningful insights for the effective communication of data analysis to management teams. Predictive analytics: Develop and apply statistical and machine learning models to address real-world business problems. You will be able to showcase your skills in data manipulation and exploratory data analysis, and apply statistical methods to data. Prescriptive analytics and modelling: Convert real-world problems into mathematical and spreadsheet models, utilising them for rational decision-making in businesses. Develop a deep understanding of modelling concepts and gain hands-on experience in efficiency and productivity assessment. Project management: Develop project management skills to support business growth and development in an international context. You will gain exposure to theoretical and practical tools, providing the capability to apply them in work-based situations. Career prospects In today’s data-driven world, expertise in business analytics is the keystone of industry leadership and innovation. Our Business Analytics (MSc) programme prepares you for a thriving career by providing in-demand skills that are the backbone of strategic decision-making. With insights from data often providing the basis for competitive advantage in the marketplace, it’s not surprising that business analytics graduates are increasingly in demand. These transferable skills make Aston graduates highly sought-after by employers, opening doors to exciting careers.

Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.