COURSE CURRICULUM

The MSc in Business Analytics is a flexible program designed to prepare students for careers in data-driven decision-making by offering a range of final semester options. Students can choose to complete a dissertation, undertake a business placement, deliver a business-sponsored project, or develop a business plan. The dissertation focuses on academic research in business analytics, with support from experienced faculty, helping students sharpen analytical and critical thinking skills. The placement offers real-world experience, applying theoretical knowledge in a business environment while gaining valuable work experience and professional connections. The business-sponsored project involves direct client engagement, developing solutions that address real business needs and enhancing both technical and project management skills. Alternatively, the business plan route allows students to explore entrepreneurship, developing a start-up that provides analytics services, from concept to implementation. The course is structured around two main semesters. In the first semester, students are introduced to key areas such as data analytics for business, digital business operations, and marketing, with an emphasis on applying analytics in practical contexts. Those choosing the dissertation route will also study research methods. In the second semester, students build on their foundation with advanced topics in data analytics, exploring areas such as data modelling, evaluation, and business deployment strategies. Students opting out of the dissertation will take modules focused on developing professional skills relevant to placements, projects, or entrepreneurial endeavors. Additional elective topics include human resources, innovation and technology management, social media applications, and digital policy-making. Core modules include Marketing Theory and Practice, which explores modern marketing across sectors; Data Analytics for Business, which offers hands-on training in the analytics lifecycle; Introduction to Digital Business, focusing on digital disruption and strategy; and Advanced Topics in Data Analytics, which deepens understanding of industry-standard practices and ethics.