Bachelor of Science in Data Science and Artificial Intelligence

Single Degree | Single Degree with 2nd Major

An undergraduate degree programme in Data Science and Artificial Intelligence, based on rigorous training in the synergistic fields of statistics and computer science.

The programme, which is run jointly by the School of Computer Science and Engineering and the School of Physical and Mathematical Sciences, targets students who have the vision of using data science and artificial intelligence (AI) to find innovative solutions to society’s pressing challenges.

The curriculum provides students with opportunities to solve real-life problems in different applications domains ranging from science and technology, healthcare, business and finance, environmental sustainability, and more.

Provides opportunities to use Data Science and Artificial Intelligence to solve real-life problems in different application domains such as science and technology, healthcare, business and finance, environmental sustainability, and more.

GCE ‘A’ Level 

Pass in H2 Level Mathematics, and 

Pass in H2 Level Biology/Chemistry/Computing/Physics 

International Baccalaureate 

Pass in HL Mathematics, and 

Pass in HL Biology/Chemistry/Computer Science/Physics 


NUS High School Diploma 

Major CAP of 2.0 in Mathematics, and 

Major CAP of 2.0 in Biology/Chemistry/Physics 


International & Other Qualifications 

Pass in Senior High School Level Mathematics, and 

Pass in Senior High School Level Biology/Chemistry/Physics 


Diploma Holders 

Applicants should have a relevant diploma from one of the local polytechnics. Those with a Certificate of Merit, Diploma with Merit or Diploma with Distinction may apply for any  programme in NTU. 


For the list of acceptable local diplomas and exempted courses, 

please visit ntu.edu.sg/url/localdiploma.html 
This is a full time four-year direct honours Bachelor of Science degree programme, jointly offered by SCSE and the School of Physical and Mathematical Sciences (SPMS).
View Curriculum here
  • Machine Learning Engineer
  • Data scientist
  • Research Scientist
  • R&D Engineer
  • Business Intelligence Developer
  • Computer Vision Research Engineer
  • Data Analyst
  • Data Architect
  • AI Engineer
  • AI Scientist