TOP 10 BACHELOR OF DATA SCIENCE CLASSES IN CENTRAL, SINGAPORE

School of Advanced Technology and Digital Media to provide a qualification for students who are seeking to work in the data science, business analytics industry, or in occupations where big data management will be of utility.

With the rise of AI and machine learning, organizations need to efficiently develop and implement data science capabilities to stay competitive. Pursue a computer science (Data Science) degree and attain programming skills such as Python, data mining and big data analytics.

The four-year direct honours programme is designed to prepare graduates who are ready to acquire, manage and explore data that will inspire change around the world. Students will read courses in mathematics, statistics and computer science, and be exposed to the interplay between these three key ar...

This bachelor of science (honours) data science aims to provide students with a comprehensive grounding in the knowledge and expertise expected of data engineers and data scientists. The curriculum is designed such that students are provided with a thorough exposure to the fundamental mathematical,

Enrol in our bachelor of science (honours) data science and analytics (top-up) programme and gain expertise in analysing vast data sets—a highly sought-after skill across all sectors. From global businesses to healthcare and climate change initiatives, data driven decision-making is crucial. Lear...

Organizations are generating volumes of data. This data could be used to solve problems, generate insight, mitigate risk, identify superior products, etc. if it were properly analyzed. The Bachelor of Science in Business Analytics (BSBA) is grounded in the concepts of Evidence-Based Management.

In an increasingly digital world, Data Science plays a crucial role in driving decisions, innovation, productivity and success. Big Data analytics has changed the way organisations identify trends, challenges and new opportunities.

The programme aims to develop competence in students in the application of statistical and machine learning techniques at a high level. It will provide students with a sound knowledge of the principles underlying standard applications of probability and statistics.

Data and analytics capabilities have made a leap forward in recent years. The volume of available data has grown exponentially, more sophisticated algorithms have been developed, and computational power and storage have steadily improved.