School of Computing
Undergraduate Education
The School of Computing aims to provide a sound and forward-looking education to equip graduates for careers in IT and related fields. To this end, our courses integrate problem-solving skills with a foundation in IT and business. Graduates will be able to integrate new technology and develop themselves into future IT leaders, and to proceed to further studies.
The School offers direct entry to four-year undergraduate degree programmes, designed to meet the needs of distinct segments of the IT job market, and to better serve students with different interests, background, abilities and career orientation. Four-year programmes are designed to educate tomorrow’s technical leaders who will pioneer the development of novel technology. The programmes emphasise in-depth mastery of the scientific, engineering and organisational foundations that underlay the continuing progress in information and communications technologies and their applications. The maximum candidature period for a four-year programme is five years.
The School of Computing offers the following full-time Bachelor of Computing programmes, leading to:
- Bachelor of Computing in Computer Science;
- Bachelor of Computing in Information Security;
- Bachelor of Science in Business Analytics;
- Bachelor of Computing in Business Artificial Intelligence Systems;
- Bachelor of Computing in Artificial Intelligence
Its Department of Computer Science jointly offers the following full-time Bachelor of Engineering programme with the Department of Electrical and Computer Engineering, College of Design and Engineering:
- Bachelor of Engineering in Computer Engineering
The School also offers a wide array of minors and special programmes to full-time undergraduate students to provide more breadth and depth in their studies.
Please refer to our School’s web page at: http://www.comp.nus.edu.sg/cug/ for the latest details on the degree programmes.
The overall degree requirement is based on units, with at least 160 units for the four-year programmes. To graduate, a student must obtain a Grade Point Average (GPA) of not less than 2.00.
Each programme consists of courses divided into three main categories:
- Programme Requirements
- Common Curriculum (including University Level Requirements)
- Unrestricted Electives
A course can only be counted towards one category. No double counting is allowed.
Students who aim for Honours (Highest Distinction) for BComp programmes or BSc (Business Analytics) programme must pass the CP4101 BComp Dissertation and BT4101 B.Sc. Dissertation respectively. Students with GPA of 4.00 or higher after completing at least 70% (i.e. 112 units) of the unit requirement for the degree programme may opt to replace the Industry Experience Requirement by CP4101 B.Comp Dissertation (12 units) for CS programme. Note that the CP4101/BT4101 project selection process takes place one semester ahead of the semester in which the students commence CP4101/BT4101. Thus the students can tentatively select CP4101 projects; but the condition “GPA of 4.00 or higher after completing at least 70% (112 units) of the unit requirement for the degree programme” must be satisfied before they can commence CP4101 in lieu of Industry Experience Requirement for Computer Science/Information Security degree.
For more details, please visit: http://www.nus.edu.sg/registrar/academic-information-policies/undergraduate-students/curriculum-structure
The Bachelor of Computing (Honours) in Computer Science or BComp (CS) programme aims to nurture students for a rewarding computing career in various industry sectors. Suitable for those who love hands-on work and keen to apply computing technologies to solve real-world problems, the programme will equip students with the critical knowledge and capacity to take on the world with confidence.
Degree Requirements
Summary of degree requirements for Bachelor of Computing (Computer Science)
| COURSES | UNITS | SUBTOTALS |
| COMMON CURRICULUM REQUIREMENTS 1 | 40 | |
| University Level Requirements: 6 University Pillars | 24 | |
| Digital Literacy --- CS1101S Programming Methodology | 4 | |
| Critique and Expression --- ES2660 Communicating in the Information Age | 4 | |
| Cultures and Connections --- GEC% | 4 | |
| Data Literacy --- Either GEA1000, BT1101, ST1131 or DSA1101 | 4 | |
| Singapore Studies --- GES% | 4 | |
| Communities and Engagement --- GEN% | 4 | |
| Computing Ethics --- IS1108 Digital Ethics and Data Privacy | 4 | |
|
Interdisciplinary & Cross-Disciplinary Education |
12 | |
| PROGRAMME REQUIREMENTS 2 | 80 | |
| Computer Science Foundation | 36 | |
| CS1231S Discrete Structures | 4 | |
| CS2030S Programming Methodology II | 4 | |
| CS2040S Data Structures and Algorithms | 4 | |
| CS2100 Computer Organisation | 4 | |
| CS2101 Effective Communication for Computing Professionals3 | 4 | |
| CS2103T Software Engineering3 | 4 | |
| CS2106 Introduction to Operating Systems | 4 | |
| CS2109S Introduction to AI and Machine Learning | 4 | |
| CS3230 Design and Analysis of Algorithms | 4 | |
| Computer Science Breadth and Depth 4 | 32 | |
|
Complete 32 units of Computing courses satisfying the following constraints:
The industry experience courses are as follows:
|
||
| Mathematics and Sciences | 12 | |
| MA1521 Calculus for Computing5 | 4 | |
| MA1522 Linear Algebra for Computing | 4 | |
| ST2334 Probability and Statistics6 | 4 | |
| UNRESTRICTED ELECTIVES7 | 40 | |
| Grand Total | 160 |
Footnotes:
- Students can refer to: https://www.nus.edu.sg/registrar/academic-information-policies/undergraduate-students/general-education/for-students-admitted-from-AY2021-22 for the University Level Requirements (ULR). ES2660 will satisfy the Critique and Expression pillar and CS1101S will satisfy the Digital Literacy pillar.
- At least 80% of the unit requirements in a Bachelor programme’s major must be at level 1000 to 4000.
- Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester.
- For students in a double-degree programme, courses specifically listed for inclusion in breadth-and-depth may also be included. Please refer to the respective DDP websites.
- Students pursuing double degree in Computer Science and Mathematics/Applied Mathematics are recommended to replace MA1521 Calculus for Computing by MA2002 Calculus.
- Students pursuing a double degree in Computer Science and Mathematics/Applied Mathematics will take ST2131 Probability and ST2132 Mathematical Statistics in place of ST2334 Probability and Statistics. If a student has already taken ST2131/MA2116/MA2116T/MA2216 that precludes ST2334, he/she will have to take ST2132 to fulfil the BComp(CS) degree requirements.
- Students without A-level or H2 Mathematics or equivalent are required to complete the bridging course MA1301/X or equivalent as part of the Unrestricted Electives.
For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/cs/cs-25-26/
The Turing Programme for Bachelor of Computing (Computer Science) programme [TP] is yet another special programme in Computer Science. TP aims to nurture students who aspire to engage in pure research careers in Computing. It is most suitable for students who love to solve technically challenging problems and are able to handle theoretical and practical work. Students will be selected for admission to TP based on their performance in selected courses, including CS2309 and CS3230. Students in TP are expected to build sufficient track records by the time they graduate to gain admission into PhD programmes in top schools including SoC. Students in this programme will be assigned CS professors as their mentors to help them to build their research track records.
Degree Requirements
Summary of degree requirements for Bachelor of Computing (Computer Science) – Turing Programme
| Courses | Units | Subtotals |
| COMMON CURRICULUM REQUIREMENTS 1 | 40 | |
| University Level Requirements: 6 University Pillars | 24 | |
| Digital Literacy --- CS1101S Programming Methodology | 4 | |
| Critique and Expression --- ES2660 Communicating in the Information Age | 4 | |
| Cultures and Connections --- GEC% | 4 | |
| Data Literacy --- Either GEA1000, BT1101, ST1131 or DSA1101 | 4 | |
| Singapore Studies --- GES% | 4 | |
| Communities and Engagement --- GEN% | 4 | |
| Computing Ethics --- IS1108 Digital Ethics and Data Privacy | 4 | |
| Interdisciplinary & Cross-Disciplinary Education Comprises of Interdisciplinary (ID) Courses and Cross-disciplinary (CD) Courses Students are required to take 12 units from the above courses with at least two ID courses and no more than one CD course to satisfy the 12 units required in this group. |
12 | |
| PROGRAMME REQUIREMENTS 2 | 92 | |
| Computer Science Foundation | 36 | |
| CS1231S Discrete Structures | 4 | |
| CS2030S Programming Methodology II | 4 | |
| CS2040S Data Structures and Algorithms | 4 | |
| CS2100 Computer Organisation | 4 | |
| CS2101 Effective Communication for Computing Professionals3 | 4 | |
| CS2103T Software Engineering3 | 4 | |
| CS2106 Introduction to Operating Systems | 4 | |
| CS2109S Introduction to AI and Machine Learning | 4 | |
| CS3230 Design and Analysis of Algorithms | 4 | |
| Computer Science Breadth and Depth4 | 44 | |
|
CS2309 CS Research Methodology |
4 | |
|
Complete 20 units of CS/CP/IFS-coded courses4 or Industry Experience courses satisfying the following constraints:
The industry experience courses are as follows:
|
20 | |
| CP3209 Undergraduate Research Project in Computing | 8 | |
| CP4101 B.Comp. Dissertation | 12 | |
| Mathematics and Sciences | 12 | |
| MA1521 Calculus for Computing5 | 4 | |
| MA1522 Linear Algebra for Computing | 4 | |
| ST2334 Probability and Statistics6 | 4 | |
| UNRESTRICTED ELECTIVES7 | 28 | |
| Grand Total | 160 |
Notes:
- Students can refer to: https://www.nus.edu.sg/registrar/academic-information-policies/undergraduate-students/general-education/for-students-admitted-from-AY2021-22 for the University Level Requirements (ULR). ES2660 will satisfy the Critique and Expression pillar and CS1101S will satisfy the Digital Literacy pillar.
- At least 80% of the unit requirements in a Bachelor programme’s major must be at level 1000 to 4000.
- Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester.
- For students in a double-degree programme, courses specifically listed for inclusion in breadth-and-depth may also be included. Please refer to the respective DDP websites.
- Students pursuing double degree in Computer Science and Mathematics/Applied Mathematics are recommended to replace MA1521 Calculus for Computing by MA2002 Calculus.
- Students pursuing a double degree in Computer Science and Mathematics/Applied Mathematics will take ST2131 Probability and ST2132 Mathematical Statistics in place of ST2334 Probability and Statistics. If a student has already taken ST2131/MA2116/MA2116T/MA2216 that precludes ST2334, he/she will have to take ST2132 to fulfil the BComp(CS) degree requirements.
- Students without A-level or H2 Mathematics or equivalent are required to complete the bridging course MA1301/X or equivalent as part of the Unrestricted Electives.
For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/cs/tp-25-26/
The Bachelor of Computing in Information Security aims to:
- To provide a broad-based, inter-disciplinary information security undergraduate programme within NUS
- To contribute to the national focus on growing the pool of cyber security professionals in Singapore.
- To produce graduates who are able to understand information security issues and practices from both technical and organisational points of view.
Degree Requirements
Summary of degree requirements for Bachelor of Computing (Information Security)
| COURSES | UNITS | SUBTOTALS |
| COMMON CURRICULUM REQUIREMENTS 1 | 40 | |
| University Level Requirements: 6 University Pillars | 24 | |
| Digital Literacy --- CS1010 Programming Methodology | 4 | |
| Critique and Expression --- ES2660 Communicating in the Information Age | 4 | |
| Cultures and Connections --- GEC% | 4 | |
| Data Literacy --- Either GEA1000, BT1101, ST1131 or DSA1101 | 4 | |
| Singapore Studies --- GES% | 4 | |
| Communities and Engagement --- GEN% | 4 | |
| Computing Ethics --- IS1108 Digital Ethics and Data Privacy | 4 | |
| Interdisciplinary & Cross-Disciplinary Education Comprises of Interdisciplinary (ID) Courses and Cross-disciplinary (CD) Courses Students are required to take 12 units from the above courses with at least two ID courses and no more than one CD course to satisfy the 12 units required in this group. |
12 | |
| PROGRAMME REQUIREMENTS 2 | 84 | |
| Computing Foundation | 32 | |
| CS1231S Discrete Structures | 4 | |
| CS2030 Programming Methodology II | 4 | |
| CS2040C Data Structures and Algorithms | 4 | |
| CS2100 Computer Organisation | 4 | |
| CS2101 Effective Communication for Computing Professionals3 | 4 | |
| CS2103T Software Engineering3 | 4 | |
| CS2105 Introduction to Computer Networks | 4 | |
| CS2106 Introduction to Operating Systems | 4 | |
| Information Security Requirements | 28 | |
| CS2107 Introduction to Information Security | 4 | |
| Either IFS4205 Information Security Capstone Project; or (CS4238 Computer Security Practice and IFS4103 Penetration Testing Practice) |
8 | |
| CS3235 Computer Security | 4 | |
| IS4231 Information Security Management | 4 | |
|
Programme Electives |
8 | |
| Computing Requirements | 12 | |
|
Complete 12 units of CS-coded, IS-coded, or CP-coded courses subject to the following conditions:
The industry experience courses are as follows:
|
12 | |
| Mathematics | 12 | |
| MA1521 Calculus for Computing | 4 | |
| MA1522 Linear Algebra for Computing | 4 | |
| ST2334 Probability and Statistics4 | 4 | |
| UNRESTRICTED ELECTIVES5 | 36 | |
| Grand Total | 160 |
Notes:
1 Students can refer to: https://www.nus.edu.sg/registrar/academic-information-policies/undergraduate-students/general-education/for-students-admitted-from-AY2021-22 for the University Level Requirements (ULR). Student must take CS1010 Programming Methodology and it will satisfy the Digital Literacy pillar.
2 At least 80% of the unit requirements in a Bachelor programme’s major must be at level 1000 to 4000.
3 Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester.
4 Students pursuing a Second Major in Mathematics or Statistics should take ST2334 Probability and Statistics. If a student has taken (ST2131 or MA2216 or MA2116 or MA2116T) and ST2132, then the student does not need to take ST2334.
5 Students without A-level or H2 mathematics or equivalent are required to complete MA1301/X Introductory Mathematics or equivalent as part of the Unrestricted Electives.
For more details, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/isc/isc-25-26/
The Bachelor of Science (Business Analytics) degree programme is an inter-disciplinary undergraduate degree programme offered by the School of Computing with participation from the Business School, Faculty of Engineering, Faculty of Science, and Faculty of Arts and Social Sciences. This is a four-year direct honours programme which offers a common two-year broad-based inter-disciplinary curriculum where all students will read courses in Mathematics, Statistics, Economics, Accounting, Marketing, Decision Science, Industrial and Systems Engineering, Computer Science and Information Systems. Students in their third and fourth years of study may choose elective courses from two lists of either functional or methodological elective courses. Functional elective courses span business functions or sectors of marketing, retailing, logistics, healthcare, etc. Methodological elective courses include those related to big data techniques, statistics, text mining, data mining, social network analysis, econometrics, forecasting, operations research, etc. In sum, these elective courses span the most exciting and challenging areas of business analytics practice in the industry today.
Degree Requirements
Summary of degree requirements for Bachelor of Science (Business Analytics)
| Courses | Units | Sub totals |
| COMMON CURRICULUM REQUIREMENTS 1 | 40 | |
| University Level Requirements: 6 University Pillars | 24 | |
| Digital Literacy --- CS1010A/S Programming Methodology 1 | 4 | |
| Critique and Expression --- GEX% | 4 | |
| Cultures and Connections --- GEC% |
4 | |
| Data Literacy --- BT1101 Introduction to Business Analytics | 4 | |
| Singapore Studies --- GES% | 4 | |
| Communities and Engagement --- GEN% | 4 | |
| Computing Ethics --- IS1108 Digital Ethics and Data Privacy |
4 | |
|
Interdisciplinary & Cross-Disciplinary Education Comprises of Interdisciplinary (ID) Courses and Cross-disciplinary (CD) Courses Students are required to take 12 units from the above courses with at least two ID courses and no more than one CD course to satisfy the 12 units required in this group. |
12 | |
| PROGRAMME REQUIREMENTS 2 | 80 | |
| Core Courses | 60 | |
| MA1311 Matrix Algebra, or MA1522 Linear Algebra for Computing3 | 4 | |
| MA1521 Calculus for Computing, or MA2002 Calculus3 | 4 | |
| BT2101 Econometrics Modeling for Business Analytics | 4 | |
| BT2102 Data Management and Visualisation | 4 | |
| CS2030 Programming Methodology I | 4 | |
| CS2040 Data Structures and Algorithms | 4 | |
| IS2101 Business and Technical Communication4 | 4 | |
| ST2334 Probability and Statistics5 | 4 | |
| BT3103 Application Systems Development for Business Analytics | 4 | |
| IS3103 Information Systems Leadership and Communication | 4 | |
| BT4101 B.Sc. Dissertation or Industry Experience Requirement6 | 12 | |
| BT4103 Business Analytics Capstone Project | 8 | |
| Programme Electives (PE) | 20 | |
|
Complete 5 Business Analytics programme elective courses with at least 3 courses at Level-4000. Business Applications IS3150 Digital Media Marketing IS3240 Digital Platform Strategy and Architecture Analytics Methods BT4241 Causal Impact Analytics for Business Applications Technology Implementation
Some of the courses require pre-requisites from outside this list. Students must have the pre-requisites to take them. Financial Analytics Specialisation (20 units)
Marketing Analytics Specialisation (20 units)
Machine Learning-based Analytics Specialisation (20 units)
|
All courses are 4 units. |
|
| UNRESTRICTED ELECTIVES | 40 | |
| Grand Total | 160 |
Notes:
1 Students can refer to: https://www.nus.edu.sg/registrar/academic-information-policies/undergraduate-students/general-education/for-students-admitted-from-AY2021-22 for the requirements for University Level Requirements. Two programme requirements are used to satisfy the new university level requirements, specifically BT1101 will satisfy the Data Literacy pillar and CS1010S will satisfy the Digital Literacy pillar. Students will take CS1010A and CS1010S in semester 1 and semester 2 respectively.
2 At least 80% of the unit requirements in a Bachelor programme’s major must be at level 1000 to 4000.
3 Students are encouraged to take these MA course options should they wish to pursue a more rigorous treatment of the subject topics covered.
4 Taught by the Centre for English Language Communication.
5 If a student has taken (ST2131 or MA2216 or MA2116 or MA2116T) and ST2132, then the student does not need to take ST2334.
6 Students may take any internship programmes that are at least 12 units and of at least 6 months continuous duration (e.g. IS4010 Digital Transformation Leadership Programme, CP3880 Advanced Technology Attachment Programme, NUS Overseas Colleges) to satisfy the industry experience requirement. Students with GPA of 4.00 or higher may opt to replace the Industry Experience Requirement by BT4101 B.Sc. Dissertation. Students who aim for Honours (Highest Distinction) must pass the BT4101. Students with GPA of 4.00 or higher after completing at least 70% (i.e. 112 units) of the unit requirement for the degree programme may opt to replace the Industry Experience Requirement by BT4101 (12 units).
For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/ba/ba-25-26/
The four-year Business Artificial Intelligence Systems (BAIS) programme aims to address the two significant trends of i) rapid adoption of Artificial Intelligence (AI) technologies across the economy and society, and ii) digital transformation among organisations being increasingly driven by AI and data. This interdisciplinary programme integrates computing, business, and management knowledge and skills to focus on AI solutioning, governance and management for businesses and organisations. It emphasises harnessing infocomm technologies (ICT), AI technologies and data synergistically and seamlessly to solve real-world business problems with appropriate digital innovations and AI governance and management frameworks. The BAIS programme with its strong emphasis on full-stack AI solutioning will prepare students for careers that lie at the intersection of three tracks in the IMDA’s (Infocomm Media Development Authority) Skills Framework for ICT, namely the Data and AI, Software and Applications, and Strategy and Governance tracks.
Students can also choose to specialise in the Artificial Intelligence (AI) Governance and Management Specialisation, in addition to the Digital Product and Platform Management Specialisation, or the Financial Technology Specialisation.
Degree Requirements
Summary of degree requirements for Bachelor of Computing (Business Artificial Intelligence Systems)
| Courses | Units | Sub totals |
| 40 | ||
|
University Level Requirements: 6 University Pillars |
24 | |
|
Digital Literacy --- CS1010A Programming Methodology |
4 | |
|
Critique and Expression --- GEX% |
4 | |
|
Cultures and Connections --- GEC% |
4 | |
|
Data Literacy --- BT1101 Introduction to Business Analytics |
4 | |
|
Singapore Studies --- GES% |
4 | |
|
Communities and Engagement --- GEN% |
4 | |
|
Computing Ethics --- IS1108 Digital Ethics and Data Privacy |
4 | |
|
Interdisciplinary & Cross-Disciplinary Education Comprises of Interdisciplinary (ID) Courses and Cross-disciplinary (CD) Courses Students are required to take 12 units from the above courses with at least two ID courses and no more than one CD course to satisfy the 12 units required in this group. |
12 | |
| PROGRAMME REQUIREMENTS 2 | 80 | |
| Core Courses | 60 | |
| BT2102 Database Management and Visualization | 4 | |
| CS2030 Programming Methodology II | 4 | |
| CS2040 Data Structures and Algorithms | 4 | |
| IS2101 Business and Technical Communication3 | 4 | |
| IS2108 Full-stack Software Engineering for AI Solutions I | 4 | |
| IS2109 AI and Machine Learning Techniques I | 4 | |
| IS3103 Digital Transformation and Leadership Communication | 4 | |
| IS4108 AI Solutioning Capstone Project | 8 | |
| CP4101 B.Comp Dissertation or Industrial Experience Requirement4 | 12 | |
| MA1521 Calculus for Computing |
4 | |
| MA1522 Linear Algebra for Computing | 4 | |
| ST2334 Probability and Statistics | 4 | |
| Programme Electives (PE) | 20 | |
|
Complete 5 Business AI Systems programme elective courses with at least 3 courses at Level-4000. Digital Business Financial Technology IT Solutioning AI Solutioning IT Business Innovation and Entrepreneurship IT Security and Legal Aspects Business Artificial Intelligence Systems Specialisations (20 units) Some of the courses require pre-requisites from outside this list. Students must have the pre-requisites to take them. (A) Digital Product and Platform Management Specialisation (20 units)
(C) Artificial Intelligence (AI) System Solutioning Specialisation* (20 units) To be awarded the Artificial Intelligence (AI) System Solutioning Specialisation, students must pass 20 units (5 courses) from the prescribed list below:
|
All courses are 4 units courses. |
|
| UNRESTRICTED ELECTIVES | 40 | |
| Grand Total | 160 |
Notes:
1 Students can refer to:https://www.nus.edu.sg/registrar/academic-information-policies/undergraduate-students/general-education/for-students-admitted-from-AY2021-22 for the requirements for University Level Requirements.Two programme requirements are used to satisfy the new university level requirements, specifically BT1101 will satisfy the Data Literacy pillar and CS1010J will satisfy the Digital Literacy pillar.
2 At least 80% of the unit requirements in a Bachelor programme’s major must be at level 1000 to 4000.
3 Taught by the Centre for English Language Communication.
4 Students may take any internship programmes that are at least 12 units and of at least 6 months continuous duration (e.g. IS4010 Digital Transformation Leadership Programme, CP3880 Advanced Technology Attachment Programme, NUS Overseas Colleges) to satisfy the industry experience requirement. Students with GPA of 4.00 or higher may opt to replace the Industry Experience Requirement by CP4101 B.Comp. Dissertation. Students who aim for Honours (Highest Distinction) must pass the CP4101. Students with GPA of 4.00 or higher after completing at least 70% (i.e. 112 units) of the unit requirement for the degree programme may opt to replace the Industry Experience Requirement by CP4101 (12 units).
For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/bais/bais-25-26/
The Bachelor of Computing (Honours) in Artificial Intelligence or BComp (AI) programme aims to provide students with a strong foundation in AI knowledge and skills to meet today’s computing needs, and to prepare them for the continuously changing computing landscape of the future. This programme aims to educate the next generation of AI scientists with the following goals and objectives:
- Providing students with a world-class education in AI, broadly covering the three main areas in AI today (Reasoning and Decision Making, Learning, and Perception and Language).
- Preparing students for AI-centric job roles that require deep knowledge of AI.
- Preparing students for the continual and rapid changes in the computing landscape, which requires constant adaptation and self-learning of the newest technologies.
- Producing graduates that understand the responsible use of AI, including issues of ethics, privacy, and AI governance
Degree Requirements
Summary of degree requirements for Bachelor of Computing (Artificial Intelligence)
| COURSES | UNITS | SUBTOTALS |
| COMMON CURRICULUM REQUIREMENTS 1 | 40 | |
| University Level Requirements: 6 University Pillars | 24 | |
| Digital Literacy --- CS1101S Programming Methodology | 4 | |
| Critique and Expression --- ES2660 Communicating in the Information Age | 4 | |
| Cultures and Connections --- GEC% | 4 | |
| Data Literacy --- Either GEA1000, BT1101, ST1131 or DSA1101 | 4 | |
| Singapore Studies --- GES% | 4 | |
| Communities and Engagement --- GEN% | 4 | |
| Computing Ethics --- IS1108 Digital Ethics and Data Privacy | 4 | |
|
Interdisciplinary & Cross-Disciplinary Education |
12 | |
| PROGRAMME REQUIREMENTS 2 | 80 | |
| Computer Science Foundation | 20 | |
| CS2030S Programming Methodology II | 4 | |
| CS2040S Data Structures and Algorithms | 4 | |
| CS2100 Computer Organisation | 4 | |
| CS2101 Effective Communication for Computing Professionals | 4 | |
| CS3230 Design and Analysis of Algorithms | 4 | |
| Artificial Intelligence (AI) Foundations | 20 | |
| CS2109S Introduction to AI and Machine Learning | 4 | |
| CS3263 Foundations of Artificial Intelligence | 4 | |
| CS3264 Foundations of Machine Learning | 4 | |
| CS3268 Responsible AI: from Algorithms to Impact | 4 | |
| Perception: Read one of the following two courses • CS4243 Computer Vision and Pattern Recognition • CS4248 Natural Language Processing |
4 | |
| Artificial Intelligence (AI) Breadth and Depth | 20 | |
| Students must complete 20 units subject to the following constraints: • At least 12 units from the AI Technical Electives list. • At least 12 units at level-4000 or above. • Industrial Experience: at least 6 units and at most 12 units of industrial experience courses. Students with a GPA of 4.00 or higher may opt to replace the Industry Experience with the programme’s dissertation course (i.e., CP4101). • Students who aim for Honours (Highest Distinction) must pass the programme’s dissertation course (i.e. CP4101). • All courses except Industry Experience must be CS/IFS/IS/CP coded. • At most 12 units of CP-coded courses (aside from Industry Experience. |
||
|
AI Technical Electives List The currently available courses are:
|
Each course is 4 units | |
| Mathematics Foundations | 20 | |
| CS1231S Discrete Structures | 4 | |
| CS2251 Optimization and Regression | 4 | |
| MA1521 Calculus for Computing | 4 | |
| MA1522 Linear Algebra for Computing | 4 | |
| ST2334 Probability and Statistics3 | 4 | |
| UNRESTRICTED ELECTIVES4 | 40 | |
| Grand Total | 160 |
Footnotes:
1 Students can refer to: https://www.nus.edu.sg/registrar/academic-information-policies/undergraduate-students/general-education/for-students-admitted-from-AY2021-22 for the University Level Requirements (ULR). CS1101S will satisfy the Digital Literacy pillar. ES2660 will satisfy Critique and Expression pillar.
2 At least 80% of the unit requirements in a Bachelor programme’s major must be at level 1000 to 4000.
3 If a student has already taken ST2131/MA2116/MA2116T/MA2216 that precludes ST2334, he/she will have to take ST2132 to fulfil the degree requirements.
4 Students without A-level or H2 Mathematics or equivalent are required to complete the bridging course MA1301/X or equivalent as part of the Unrestricted Electives.
For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/ai/ai-25-26/
For details on curriculum and degree requirements, please visit: https://ceg.nus.edu.sg/curriculum/