Bachelor of Science in Management, Decisions and Data Analytics

The BSc in Management, Decisions, and Data Analytics (MDDA) programme is dedicated to equipping students with the necessary skills to thrive in professional roles within a data-rich, globalised landscape. In today’s business environment, companies ranging from dynamic start-ups to expansive multinationals are inundated with data from diverse sources. These organisations face the crucial task of leveraging this data to enhance their operational and strategic initiatives. To navigate this landscape successfully, managers must not only refine their managerial competencies but also expand their expertise into areas like machine learning and data analytics. Central to creating value from data is a profound understanding of decision-making processes, as reflected by human behaviour patterns captured within the data. The MDDA programme is crafted for aspiring scholars from across the globe who are passionate about business, management, and entrepreneurship within a data-centric framework. The curriculum trains students to tackle business and management challenges using advanced tools such as machine learning, big data analytics, and data visualisation, crucial for informed decision-making. The programme emphasises essential managerial and methodological capabilities required for young professionals in an era of digital transformation. Spanning three years, the BSc programme is structured around three core pillars: (1) Management, (2) Decision Making, and (3) Data Analytics. The first year lays the foundational knowledge of these pillars. The second year focuses on business courses pertinent to digital transformation and entrepreneurship. During this year, students also delve deeper into the nuances of decision-making, both at individual and organisational levels, and explore data analytics and machine learning. The final year offers specialised courses that integrate these three pillars, with an emphasis on practical applications such as data utilisation in marketing.