● manage data 
● conduct business analytics programmatically
● create AI models to automate business processes
● create predictive model to increase profitability or return 

● write customised solutions to make informed business decisions
● integrate statistical libraries for data analysis
● create AI models to automate accounting and financial process 

This is a new programme at Nanyang Technological University (NTU) offered in collaboration with the Nanyang Business School and the College of Computing & Data Science (CCDS). Our students graduate with two degrees, a Bachelor of Accountancy and a Bachelor of Science in Data Science and Artificial Intelligence, in four and half years with direct honours.

For our admission requirements, please refer to the following links:

Singapore Cambridge GCE ‘A’ Level

Diploma (polytechnic or equivalent institution)

International Baccalaureate Diploma

NUS High School Diploma

International & Other Qualifications

Incoming freshmen with qualifications such as the ​A-Level, International Baccalaureate (IB) diploma, NUS High School diploma, or Polytechnic diploma are eligible for exemption from relevant ​​Accountancy or Business core courses.

Your eligibility for exemptions will be assessed based on the criteria outlined in Annex A. NBS course exemption eligibility for polytechnic graduates is based on the programme they have completed prior to joining NTU, and not on a course-by-course basis.​​

After matriculation, freshmen may apply for exemption by writing to NBS Student Administration at [email protected]. Necessary supporting documents must be provided.

Four and a half years, with direct honours. 

ACC Core	DSAI Core	Interdisciplinary Collaborative Core (ICC)			Total
		Common Core	Professional Series	Care, Serve, Learn
62	61	14	20	3	172

Students enrolled in the Double Degree in Accountancy & Data Science and Artificial Intelligence may choose from the following list of available courses.

Data and Analytics roles in Accounting Firms (senior position includes Partner, Head of Data & Analytics)

Data Management roles in Financial Institutions and Commercial multi-nationals (senior positions includes Director/Head of Analytics; Director/Head of Data Science and Analytics; Director/Head of Data Management)

Consulting roles in major Consulting firms (senior positions include Director/Senior Manager)

Technology project roles in Accounting/Financial technology firms (senior positions include Principal/Lead Project Manager).