In today’s data-centric organisations, executives need to possess knowledge and skills in data technologies to make informed decisions. As organisations face increasingly complex challenges and an exponential growth in data, the demand for business executives with advanced knowledge and skills in data analytics and visualisation is set to soar in the coming decade.

The SUSS graduate programmes in Analytics and Visualisation are designed to address this critical need by providing comprehensive training in key areas such as data visualisation, data management, automation, and decision analytics and building competencies needed to succeed in today’s data-rich business landscape. 

Students will gain expertise in employing a suite of open-source and enterprise-grade tools for analytics and automation. They will acquire the skills to flexibly employ these diverse tools to address business problems in a data-driven manner and exploit automation capabilities to streamline analytical tasks such as data cleaning, data integration, and reporting. 

Unique Features of the Programmes

• The programme is designed with a strong industry focus, providing you with practical skills and knowledge that can be immediately applied in a data-related work environment.

• This programme is delivered in a flexible hybrid mode, allowing you to attend face-to-face courses on-site or remotely via synchronous online classes.

• You will have the unique opportunity to enrich your practical experience through an internship, which is offered as an elective in the master's programme.

• You will learn how to use a range of leading-edge tools in data analytics such as R, Python, MySQL, and SPSS, as well as open-source automation tools like UiPath and enterprise-grade platforms for workflow automation.

• You will become competent in completing various tasks in an analytics workflow, from data visualisation, data wrangling and machine learning, and gain valuable skills in translating business problems into actionable tasks that can be addressed with data analytics methods.

• As part of the graduate diploma and master's programmes, you will have the opportunity to complete an applied project in a structured learning environment, closely guided by an industry or academic mentor, to help prepare you for a data-related role in the industry.

• The courses are designed to be self-contained, and no prior knowledge of analytics or programming is assumed.

Meet the Head of Programme at the live dialogue session to find out more and have your questions answered. Register now!