Undergraduate Education

School of Computing

Overview

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.

Degrees Offered

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 and its Co-operative Programme;
Bachelor of Computing in Information Systems; and
Bachelor of Science in Business Analytics and its Co-operative Programme.

Its Department of Computer Science jointly offers the following full-time Bachelor of Engineering programme with the Department of Electrical and Computer Engineering, Faculty of 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.

Curriculum Structure & Degree Requirements

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Programme Structure

The overall degree requirement is based on Modular Credits, with at least 160 Modular Credits (MCs) for the four-year programmes. To graduate, a student must obtain a Cumulative Average Point (CAP) of not less than 2.00.

Each programme consists of modules divided into three main categories:

Programme Requirements
University Level Requirements (ULR)
Unrestricted Electives

A module can only be counted towards one category. No double counting is allowed.

For more details, please visit: http://www.nus.edu.sg/registrar/academic-information-policies/undergraduate-students/curriculum-structure

Bachelor of Computing in Computer Science

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.

University Scholars Programme (Computer Science)
Students in the University Scholars Programme who choose the Bachelor of Computing (Computer Science) major will follow the Computer Science programme, but with the following variations:

They will not be required to read CS2101 Effective Communication for Computing Professionals. It is replaced by USP Foundation module: Writing and Critical Thinking.
They have module exemption via directly recognising up to 8 MCs of SoC prescribed modules towards USP Inquiry cum ISM requirement.

Degree Requirements

Table 1: Summary of degree requirements for Bachelor of Computing (Computer Science)

Modules	MCs	Subtotals
UNIVERSITY LEVEL REQUIREMENTS Two programme requirements are used to satisfy the new university level requirements, specifically ES2660 will satisfy the Critique and Expression pillar and CS1101S will satisfy the Digital Literacy pillar.		16
PROGRAMME REQUIREMENTS		104
Computer Science Foundation	36
CS1101S Programming Methodology	4
CS1231S Discrete Structures	4
CS2030S Programming Methodology II	4
CS2040S Data Structures and Algorithms	4
CS2100 Computer Organisation	4
CS2103T Software Engineering ¹	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	44
Complete 24MCs of CS/CP/IFS-coded modules by satisfying the following conditions: Satisfy at least one CS Focus Area for BComp(CS) by completing 3 modules in the Area Primaries, with at least one module at level-4000 or above. Computer Science Foundation modules that appear in Area Primaries can be counted as one of the 3 modules towards satisfying a Focus Area. At least 12 MCs are at level-4000 or above. CP-coded modules must come from the following independent project modules: CP3106 Independent Project (4 MCs) CP3209 Undergraduate Research in Computing (8 MCs) CP4106 Computing Project (8 MCs) Or other suitable modules approved by the Department of Computer Science At most 12 MCs of CP-coded independent project modules.	24
Industrial Experience Requirement²	12
IT Professionalism	12
IS1103 Ethics in Computing or IS1108 Digital Ethics and Data Privacy	4
CS2101 Effective Communication for Computing Professionals	4
ES2660 Communicating in the Information Age	4
Mathematics and Sciences	16
MA1521 Calculus for Computing³	4
MA1522 Linear Algebra for Computing	4
ST2334 Probability and Statistics⁴ and one Science Module⁵	8
UNRESTRICTED ELECTIVES ⁶		40
Grand Total		160

¹ Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester.

² Students in the Department of Computer Science who aim for Honours (Highest Distinction) must pass the CP4101 BComp Dissertation. Students with CAP of 4.00 or higher after completing at least 70% (i.e. 112 MCs) of the MC requirement for the degree programme may opt to replace the Industry Experience Requirement by CP4101 B.Comp Dissertation (12 MCs). Note that the CP4101 project selection process takes place one semester ahead of the semester in which the students commence CP4101. Thus the students can tentatively select CP4101 projects; but the condition “CAP of 4.00 or higher after completing at least 70% (112 MCs) of the MC requirement for the degree programme” must be satisfied before they can commence CP4101 in lieu of Industry Experience Requirement.

³ Students pursuing double degree in Computer Science and Mathematics/Applied Mathematics are recommended to replace MA1521 Calculus for Computing by MA2002 Calculus.

⁴ Students pursuing a double degree in Computer Science and Mathematics or Minor or Second Major in Mathematics/Statistics who take ST2131 Probability must also complete ST2132 Mathematical Statistics in place of ST2334 Probability and Statistics for CS fulfilment. 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.

⁵Students may take either a Physics, Chemistry or Life-Science course as a Science course. Please refer to Appendix A at this link.

⁶ Students without A-level or H2 Mathematics are required to complete the bridging module MA1301/X as part of the Unrestricted Electives.

For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/cs/cs-21-22/

Bachelor of Computing in Computer Science – von Neumann Programme

The von Neumann Programme for Bachelor of Computing (Computer Science) programme, [vNP] is one of the two special programmes in Computer Science. vNP aims to nurture students who aspire to engage in industry careers emphasising the design of complex computing systems. It is most suitable for students who love to solve complex real-world problems and develop complex computer-based systems for real-world applications. Students pursuing Bachelor of Computing (Computer Science) degree will be invited for admission into vNP based on the performances in selected modules (including CS3281/CS3282 and CS3216/CS3217). Students in this programme will be assigned CS professors and industry partners as their mentors, who will help them to blend academic knowledge and industrial experience into their studies.

They will not be required to read CS2101 Effective Communication for Computing Professionals. It is replaced by USP Foundation module: Writing and Critical Thinking.
They have module exemption via directly recognising up to 8 MCs of SoC prescribed modules towards USP Inquiry cum ISM requirement.

Degree Requirements

Table 2: Summary of degree requirements for Bachelor of Computing (Computer Science) – von Neumann Programme (vNP)

Modules	MCs	Subtotals
UNIVERSITY LEVEL REQUIREMENTS		24
PROGRAMME REQUIREMENTS		112
Computer Science Foundation	32	.
CS1101S Programming Methodology	4
CS1231S Discrete Structures	4
CS2030S Programming Methodology II	4
CS2040S Data Structures and Algorithms	4
CS2100 Computer Organisation	4
CS2103T Software Engineering ¹	4
CS2106 Introduction to Operating Systems	4
CS3230 Design and Analysis of Algorithms	4
Computer Science Breadth & Depth	52
CS3219 Software Engineering Principles and Patterns	4
Complete at least 8 MCs of Computer Systems Team Project modules from one of the following pairs: – CS3216 Software Product Engineering for Digital Markets and CS3217 Software Engineering on Modern Application Platform, or – CS3281 Thematic Systems Project I and CS3282 Thematic Systems Project II (with large-scale complex system development)	8
Complete 28 MCs of CS/CP/IFS-coded modules by satisfying the following conditions: Satisfy at least one vNP Focus Area for BComp(CS) by completing 3 modules in the Area Primaries, with at least one module at level-4000 or above. Computer Science Foundation modules that appear in Area Primaries can be counted as one of the 3 modules towards satisfying a Focus Area. After satisfying a vNP Focus area, a student may choose to satisfy other CS Focus Areas. vNP Focus areas are: - Computer Security - Database Systems - Networking and Distributed Systems - Parallel Computing - Programming Languages - Software Engineering At least 12 MCs are at level-4000 or above. CP-coded modules must come from the following independent project modules: CP3106 Independent Project (4 MCs) CP3209 Undergraduate Research in Computing (8 MCs) CP4101 BComp Dissertation (12 MCs) CP4106 Computing Project (8 MCs) At most 12 MCs of CP-coded independent project modules.	28
Industrial Experience Requirement ²	12
IT Professionalism	12
IS1103 Ethics in Computing	4
CS2101 Effective Communication for Computing Professionals	4
ES2660 Communicating in the Information Age	4
Mathematics and Sciences	16
MA1521 Calculus for Computing ³	4
MA1522 Linear Algebra for Computing	4
ST2334 Probability and Statistics ⁵and one Science Module⁵	8
UNRESTRICTED ELECTIVES ⁶		24
Grand Total		160

¹ Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester.

³ Students pursuing double degree in Computer Science and Mathematics/Applied Mathematics are recommended to replace MA1521 Calculus for Computing by MA2002 Calculus.

⁴ Students pursuing a double degree in Computer Science and Mathematics or Minor or Second Major in Mathematics/Statistics who take ST2131 Probability must also complete ST2132 Mathematical Statistics in place of ST2334 Probability and Statistics for CS fulfilment. If a student has already taken ST2131 (that precludes ST2334), he/she will have to take both ST2131 and ST2132 pair to fulfil the BComp(CS) degree requirements.

⁵ Students may take either a Physics, Chemistry or Life-Science course as a Science course. Please refer to Appendix A at this link.

⁶ Students without A-level or H2 Mathematics are required to complete the bridging module MA1301/X Introductory Mathematics as part of the Unrestricted Electives.

For more details, please visit: https://mysoc.nus.edu.sg/ug/von-neumann-cohort-2021-2022/

Bachelor of Computing in Computer Science – Turing Programme

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 modules, 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.

They will not be required to read CS2101 Effective Communication for Computing Professionals. It is replaced by USP Foundation module: Writing and Critical Thinking.
They have module exemption via directly recognising up to 8 MCs of SoC prescribed modules towards USP Inquiry cum ISM requirement.

Degree Requirements

Table 3: Summary of degree requirements for Bachelor of Computing (Computer Science) – Turing Programme

Modules	MCs	Subtotals
UNIVERSITY LEVEL REQUIREMENTS Two programme requirements are used to satisfy the new university level requirements, specifically ES2660 will satisfy the Critique and Expression pillar and CS1101S will satisfy the Digital Literacy pillar.		16
PROGRAMME REQUIREMENTS		112
Computer Science Foundation	36
CS1101S Programming Methodology	4
CS1231S Discrete Structures	4
CS2030S Programming Methodology II	4
CS2040S Data Structures and Algorithms	4
CS2100 Computer Organisation	4
CS2103T Software Engineering ¹	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 & Depth	48
CS2309 CS Research Methodology	4
Complete 24 MCs of CS/CP/IFS-coded modules by satisfying the following conditions: Satisfy at least one CS Focus Area for BComp(CS) by completing 3 modules in the Area Primaries, with at least one module at level-4000 or above. Computer Science Foundation modules that appear in Area Primaries can be counted as one of the 3 modules towards satisfying a Focus Area. At least 12 MCs are at level-4000 or above. CP-coded modules must come from the following independent project modules: CP3106 Independent Project (4 MCs) CP4106 Computing Project (8 MCs) other suitable modules approved by the Department of Computer Science; At most 12 MCs of CP-coded independent project modules	24
CP3209 Undergraduate Research in Computing	8
CP4101 B.Comp. Dissertation (with research content)	12
IT Professionalism	12
IS1103 Ethics in Computing or IS1108 Digital Ethics and Data Privacy	4
CS2101 Effective Communication for Computing Professionals	4
ES2660 Communicating in the Information Age	4
Mathematics and Sciences	16
MA1521 Calculus for Computing²	4
MA1522 Linear Algebra for Computing	4
ST2334 Probability and Statistics³ and one Science Module⁴	8
UNRESTRICTED ELECTIVES ⁵		32
Grand Total		160

¹Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester.

² Students pursuing double degree in Computer Science and Mathematics/Applied Mathematics are recommended to replace MA1521 Calculus for Computing by MA2002 Calculus.

³ Students pursuing a double degree in Computer Science and Mathematics or Minor or Second Major in Mathematics/Statistics who take ST2131 Probability must also complete ST2132 Mathematical Statistics in place of ST2334 Probability and Statistics for CS fulfilment. 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.

⁴ Students may take either a Physics, Chemistry or Life-Science course as a Science course. Please refer to Appendix A at this link.

⁵Students without A-level or H2 Mathematics are required to complete the bridging module MA1301/X as part of the Unrestricted Electives.

For more details, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/cs/tp-21-22/

Bachelor of Computing in Information Security

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.

University Scholars Programme (Information Security)
Students in the University Scholars Programme who choose the Bachelor of Computing (Information Security) major will take the Information Security programme, but with the following variations:

They will not be required to read CS2101 Effective Communication for Computing Professionals. It is replaced by USP Foundation module: Writing and Critical Thinking.
They have module exemption via directly recognising up to 8 MCs of SoC prescribed modules towards USP Inquiry cum ISM requirement.

Degree Requirements

Table 4: Summary of degree requirements for Bachelor of Computing (Information Security)

MODULES	MCS	SUBTOTALS
UNIVERSITY LEVEL REQUIREMENTS¹		20
PROGRAMME REQUIREMENTS		108
Computing Foundation	36
CS1010 Programming Methodology ²	4
CS1231S Discrete Structures	4
CS2040C Data Structures and Algorithms	4
CS2100 Computer Organisation	4
CS2102 Database Systems	4
CS2105 Introduction to Computer Networks	4
CS2106 Introduction to Operating Systems	4
CS2113T Software Engineering and Object-Oriented Programming ⁴	4
IS3103 Information Systems Leadership and Communication	4
Information Security Requirements	32
CS2107 Introduction to Information Security	4
Either IFS4205 Information Security Capstone Project; or (CS4238 Computer Security Practice and IFS4103 Penetration Testing Practice)	8
CS3235 Introduction to Computer Security	4
IS4231 Information Security Management	4
Programme Electives Complete 12 MCs from the following list of modules: CS3236 Introduction to Information Theory CS4230 Foundations of Modern Cryptography Either CS4236 Cryptography Theory and Practice; or MA4261 Coding and Cryptography CS4238 Computer Security Practices CS4239 Software Security CS4257 Algorithmic Foundations of Privacy CS4276 IoT Security CS5231 Systems Security CS5321 Network Security CS5322 Database Security CS5331 Web Security CS5332 Biometric Authentication IS4204 IT Governance IFS4101 Legal Aspects of Information Security IFS4102 Digital Forensics IFS4103 Penetration Testing Practice IS4233 Legal Aspects of Information Technology IS4234 Governance, Regulation, and Compliance Technology IS4238 Strategic Cybersecurity IS4302 Blockchain and Distributed Ledger Technologies Other modules approved by the SoC UG Office	12
Computing Breadth	20
Complete 8 MCs of CP-coded, CS-coded or IS-coded modules at level-3000 or above.	8
Industrial Experience Requirement⁴	12
IT Professionalism	8
IS1103 Ethics in Computing or IS1108 Digital Ethics and Data Privacy	4
CS2101 Effective Communication for Computing Professionals	4
Mathematics	12
MA1521 Calculus for Computing	4
MA1522 Linear Algebra for Computing	4
ST2334 Probability and Statistics⁵	4
UNRESTRICTED ELECTIVES⁶		32
Grand Total		160

²CS1010 can be replaced by CS1101S Programming Methodology.

³Students taking CS2113T Software Engineering & Object-Oriented Programming must take CS2101 Effective Communication for Computing Professionals in the same semester.

⁴For students who opt for NOC, the additional MCs beyond the 12-MCs allocated to Industry Experience Requirement should be taken from Unrestricted Electives and/or exempted modules.

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 without A-level Mathematics are required to complete MA1301 or MA1301X Introductory Mathematics as part of the Unrestricted Electives.

For more details, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/isc/isc-21-22/

Bachelor of Computing in Information Security – Co-operative Education Programme

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.

Under the NUS Co-operative Education Programme scheme, students will interleave work and study. A total of 64 weeks will be spent on internship. The three stages of internship are as follows:

First Internship: special term of Year 1 (approx. 12 weeks)
Second Internship: semester 2 and special term of Year 2 (approx. 24 weeks)
Third Internship: either semester 2 and special term of Year 3 OR special term of Year 3 and semester 1 of Year 4 (approx. 28 weeks)

Degree Requirements

Table 5: Summary of degree requirements for Bachelor of Computing (Information Security) – Co-operative Education Programme

MODULES	MCS	SUBTOTALS
UNIVERSITY LEVEL REQUIREMENTS ¹		20
PROGRAMME REQUIREMENTS		120
Computing Foundation	36
CS1010 Programming Methodology ²	4
CS1231S Discrete Structures	4
CS2040C Data Structures and Algorithms	4
CS2100 Computer Organisation	4
CS2102 Database Systems	4
CS2105 Introduction to Computer Networks	4
CS2106 Introduction to Operating Systems	4
CS2113T Software Engineering and Object-Oriented Programming³	4
IS3103 Information Systems Leadership and Communication	4
Information Security Requirements	32
CS2107 Introduction to Information Security	4
CS3235 Introduction to Computer Security	4
IFS4201 Information Security Industry Capstone Project	8
IS4231 Information Security Management	4
Programme Electives Complete 12 MCs from the following list of modules: CS3236 Introduction to Information Theory CS4230 Foundations of Modern Cryptography Either CS4236 Cryptography Theory and Practice; or MA4261 Coding and Cryptography CS4238 Computer Security Practice CS4239 Software Security CS4257 Algorithmic Foundations of Privacy CS4276 IoT Security CS5231 Systems Security CS5321 Network Security CS5322 Database Security CS5331 Web Security IS4204 IT Governance CS5332 Biometric Authentication IFS4101 Legal Aspects of Information Security IFS4102 Digital Forensics IFS4103 Penetration Testing Practice IS4233 Legal Aspects of Information Technology IS4234 Governance, Regulation, and Compliance Technology IS4238 Strategic Cybersecurity IS4302 Blockchain and Distributed Ledger Technologies Other courses approved by the SoC UG Office	12
Computing Breadth	20
Complete 8 MCs of CP-coded, CS-coded or IS-coded modules at level-3000 or above.	8
Industrial Experience Requirement⁴	12
CP3880 Advanced Technology Attachment Programme (Internship II)	12
Co-operative Scheme Additional Requirements	12
IFS2200 Information Security Immersion Programme	6
IFS4202 Information Security Practicum Programme	6
IT Professionalism	8
IS1103 Ethics in Computing or or IS1108 Digital Ethics and Data Privacy	4
CS2101 Effective Communication for Computing Professionals	4
Mathematics	12
MA1521 Calculus for Computing	4
MA1522 Linear Algebra for Computing	4
ST2334 Probability and Statistics⁵	4
UNRESTRICTED ELECTIVES⁶		20
Grand Total		160

²CS1010 can be replaced by CS1101S Programming Methodology.

³ Students taking CS2113T Software Engineering & Object-Oriented Programming must take CS2101 Effective Communication for Computing Professionals in the same semester.

⁴ For students who opt for NOC programme, the additional MCs beyond the 12-MCs allocated to Industry Experience Requirement should be taken from Unrestricted Electives and/or exempted modules.

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 without A-level Mathematics are required to complete MA1301 or MA1301X Introductory Mathematics as part of the Unrestricted Electives

For more details, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/isc/isc-co-oped-21-22/

Bachelor of Computing in Information Systems

The four-year IS programme provides a stimulating education that equips students with the ability to integrate infocomm technology fundamentals with domain expertise to develop innovative solutions for organisations. Through projects and case studies that are aligned with industry best practices, students will develop an in-depth understanding of the strategic exploitation of infocomm technology in emerging organisational forms. Students become proficient in the design and development of infocomm solutions and the management of infocomm projects. Such skills are vital in helping students develop careers that are being emphasised in the National Infocomm Media 2025 masterplan, such as techno-strategist, solution architect, and infocomm project manager.

Students can also take a specialisation in Digital Product and Platform Management, Financial Technology or Artificial Intelligence (AI) System Solutioning.

Degree Requirements

Table 6: Summary of degree requirements for Bachelor of Computing (Information Systems)

Modules	MCs	Sub totals
UNIVERSITY LEVEL REQUIREMENTS¹		16
PROGRAMME REQUIREMENTS		108
Core Modules	68
BT1101 Introduction to Business Analytics	4
CS1010J Programming Methodology	4
IS1103 Ethics in Computing or IS1108 Digital Ethics and Data Privacy	4
CS2030 Programming Methodology II	4
CS2040 Data Structures and Algorithms	4
BT2102 Database Management and Visualization or CS2102 Database Systems ²	4
IS2101 Business and Technical Communication ³	4
IS2102 Enterprise Systems Architecture and Design	4
IS2103 Enterprise Systems Server-side Design and Development OR IS2108 Full-stack Software Engineering for AI Solutions I	4
IS3103 Digital Transformation and Leadership Communication (Old: Information Systems Leadership and Communication)	4
IS3106 Enterprise Systems Interface Design and Development OR IS3108 Full-stack Software Engineering for AI Solutions II	4
IS3107 Data Engineering	4
IS4103 Information Systems Capstone Project OR IS4108 AI Solutioning Capstone Project	8
IS4301 Agile IT with DevOps	4
MA1312 Calculus with Applications or MA1521 Calculus for Computing⁴or MA2002 Calculus	4
ST2334 Probability and Statistics⁵	4
Programme Electives (PE)	28
Students must choose 7 modules to make up 28 MCs from the list of Programme Electives, with 4 out of 7 modules being at level-4000. Digital Business IS3150 Digital Media Marketing IS3240 Digital Platform Strategy and Architecture IS4151 AIoT Solutions and Development IS4262 Digital Product Management Financial Technology IS4226 Systematic Trading Strategies and Systems IS4228 Information Technologies in Financial Services IS4302 Blockchain and Distributed Ledger Technologies IS4303 IT-Mediated Financial Solutions and Platforms IT Solutioning CS2105 Introduction to Computer Networks BT3017 Feature Engineering for Machine Learning CS3240 Interaction Design CS3243 Introduction to Artificial Intelligence IS3221 ERP Systems with Analytics Solutions BT4014 Analytics Driven Design of Adaptive Systems BT4221 Advanced Analytics with Big Data Technologies IS4100 IT Project Management IS4204 IT Governance IS4234 Governance, Regulation, and Compliance Technology IS4236 Cloud Services and Infrastructure Management IS4243 Information Systems Consulting IS4246 Smart Systems and AI Governance IS4248 Digital Business and the Metaverse IS4250 IT-enabled Healthcare Solutioning IT Business Innovation and Entrepreneurship CP3100 Information Systems and Analytics Research Methodology IS2109 AI and Machine Learning Techniques I IS3109 AI and Machine Learning Techniques II IS3251 Principles of Technology Entrepreneurship IS4152 Affective Computing IS4241 Social Media Network Analysis IS4242 Intelligent Systems and Techniques IS4261 Designing Tech Business Innovations IS4400 Human-AI Interaction IS4401 Generative AI and Business Applications IS4402 Machine Learning with Unstructured Data IT Security and Legal Aspects CS2107 Introduction to Information Security IFS4101 Legal Aspects of Information Security IS4231 Information Security Management IS4233 Legal Aspects of Information Technology IS4238 Strategic Cybersecurity Specialisations (20 MCs) Students may choose to read one or more specialisations for the BComp (Information Systems) programme. In the case of common modules between these specialisations, the extent of double counting should be no more than 8 MCs among the specialisation(s). To ensure academic integrity of NUS specialisations, at least 60% of the Specialisation requirements to be earned from courses read at NUS. Some of the modules require pre-requisites from outside this list. Students must have the pre-requisites to take them. In the case of (i) Digital Innovation Specialisation and (ii) Digital Product and Platform Management Specialisation, students can only choose one of them. To be awarded the Digital Innovation Specialisation, students must satisfy the followings: Set I (Select any 2 modules)⁶ : IS3240 Digital Platform Strategy and Architecture IS3251 Principles of Technology Entrepreneurship IS4261 Designing IT-Enabled Business Innovations Set II (select any 3 modules): BT3017 Feature Engineering for Machine Learning IS3150 Digital Media Marketing IS3261 Mobile Apps Development for Enterprise IS4152 Affective Computing IS4204 IT Governance IS4233 Legal Aspects of Information Technology IS4234 Governance, Regulation, and Compliance Technology IS4242 Intelligent Systems and Techniques IS4243 Information Systems Consulting IS4262 Digital Product Management To be awarded the Digital Product and Platform Management, students must satisfy the followings: Set I (Select any 2 modules)⁶: IS3240 Digital Platform Strategy and Architecture IS4261 Designing IT-enabled Business Innovations IS4262 Digital Product Management Set II (Select any 3 courses): IS3150 Digital Media Marketing IS4100 IT Project Management IS4233 Legal Aspects of Information Technology IS4234 Governance, Regulation, and Compliance Technology IS4236 Cloud Services and Infrastructure Management IS4241 Social Media Network Analysis IS4243 Information Systems Consulting IS4250 IT-enabled Healthcare Solutioning IS4302 Blockchain and Distributed Ledger Technologies To be awarded the Electronic Commerce Specialisation, students must satisfy the followings: Set I (Select any 2 modules)⁶: IS3150 Digital Media Marketing IS4151 AIoT Solutions and Development IS4261 Designing IT-enabled Business Innovations Set II (Select any 3 modules): IS3240 Digital Platform Strategy and Architecture IS3261 Mobile Apps Development for Enterprise IS4228 Information Technologies in Financial Services IS4231 Information Security Management IS4242 Intelligent Systems and Techniques IS4243 Information Systems Consulting To be awarded the Financial Technology Specialisation, students must satisfy the followings: Set I (Select any 2 modules)⁶: IS4228 Information Technologies in Financial Services IS4302 Blockchain and Distributed Ledger Technologies IS4303 IT-Mediated Financial Solutions and Platforms Set II (Select any 3 modules): BT3017 Feature Engineering for Machine Learning BT4014 Analytics Driven Design of Adaptive Systems IS3107 Data Engineering IS3221 ERP Systems with Analytics Solutions IS4226 Systematic Trading Strategies and Systems IS4231 Information Security Management IS4233 Legal Aspects of Information Technology IS4234 Governance, Regulation, and Compliance Technology IS4242 Intelligent Systems and Techniques IS4246 Smart Systems and AI Governance ^{Artificial Intelligence (AI) System Solutioning Specialisation, (new)} To be awarded the Artificial Intelligence (AI) System Solutioning Specialisation, students must satisfy the followings: Set I (Select any 2 modules)⁶: BT4014 Analytics Driven Design of Adaptive Systems IS2109 AI and Machine Learning Techniques I IS3109 AI and Machine Learning Techniques II IS4242 Intelligent Systems and Techniques IS4246 Smart Systems and AI Governance Set II (Select any 3 courses): BT3017 Feature Engineering for Machine Learning BT4221 Big Data Techniques and Technologies CS3243 Introduction to Artificial Intelligence IS3107 Data Engineering IS3221 ERP Systems with Analytics Solutions IS4151 AIoT Solutions and Development IS4152 Affective Computing IS4236 Cloud Services and Infrastructure Management IS4243 Information Systems Consulting IS4248 Digital Business and the Metaverse IS4302 Blockchain and Distributed Ledger Technologies IS4400 Human-AI Interaction IS4401 Generative AI and Business Applications IS4402 Machine Learning with Unstructured Data	All modules are 4 MCs modules.
CP4101 B.Comp. Dissertation or IS4010 Digital Transformation Leadership Programme (old title: Industry Internship Programme)7	12
UNRESTRICTED ELECTIVES ⁸		36
Grand Total		160

¹Students 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 CS2102 has a pre-requisite for CS1231 Discrete Structures. Students who wish to read CS2102 can read CS1231 as an unrestricted elective course.
³ Taught by the Centre for English Language Communication.
⁴ MA1521 to be chosen if student wants to keep the option of switching to the Computer Science stream.
^{5 If a student has taken (ST2131 or MA2216 or MA2116 or MA2116T) and ST2132, then the student does not need to take ST2334.}
⁶Students can choose to do all courses from Set I and count them towards Set II to fulfil the course requirement for the specialisation.
⁷Students can choose to take on any current 12 MCs or more internship-related programmes within the School of Computing (e.g., CP3880 Advanced Technology Attachment Programme (ATAP)) and/or within NUS (e.g., TR3202 Start-up Internship Programme from the NUS Overseas College (NOC) programme in place of IS4010 Digital Transformation Leadership Programme (old title: Industry Internship Programme) to satisfy the industry experience requirement).
⁸Students are encouraged to use their unrestricted electives to take modules that will build up their business domain knowledge. Having a strong knowledge of a business domain will provide IS graduates a favorable advantage in employment opportunity in the industry.

For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/is/is-21-22/

Bachelor of Science in Business Analytics

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 modules 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 modules from two lists of either functional or methodological elective modules. Functional elective modules span business functions or sectors of marketing, retailing, logistics, healthcare, etc. Methodological elective modules include those related to big data techniques, statistics, text mining, data mining, social network analysis, econometrics, forecasting, operations research, etc. In sum, these elective modules span the most exciting and challenging areas of business analytics practice in the industry today.

Students under the NUS co-operative education programme will need to take BT4011 Business Analytics Capstone Industry Project rather than BT4101. Note that the BT4101 project selection process takes place one semester ahead of the semester in which the students commence BT4101. Thus the students can tentatively select BT4101 projects; but the condition “CAP of 4.00 or higher after completing at least 70% (112 MCs) of the MC requirement for the degree programme” must be satisfied before they can commence BT4101 in lieu of IS4010.

University Scholars Programme (Business Analytics)
Students in the University Scholars Programme (USP) who choose the Bachelor of Science (Business Analytics) degree programme will do so with the following variations:

They will not be required to read IS2101 Business and Technical Communication. It is replaced by USP Foundation module: Writing and Critical Thinking.
They have module exemption via directly recognising up to 8 MCs of SoC prescribed modules towards USP Inquiry cum ISM requirement.

Degree Requirements

Table 7: Summary of degree requirements for Bachelor of Science (Business Analytics)

Modules	MCs	Sub totals
UNIVERSITY LEVEL REQUIREMENTS¹		16
PROGRAMME REQUIREMENTS		108
Core Modules	72
BT1101 Introduction to Business Analytics	4
CS1010S Programming Methodology	4
IS1103 Ethics in Computing or or IS1108 Digital Ethics and Data Privacy	4
MA1311 Matrix Algebra, or MA1522 Linear Algebra for Computing or MA2001 Linear Algebra I²	4
MA1521 Calculus for Computing, or MA2002 Calculus²	4
BT2101 Decision Making Methods and Tools or BT2101 Econometrics Modeling for Business Analytics	4
BT2102 Data Management and Visualisation	4
BT2103 Optimization Methods in Business Analytics or BT3104 Optimization Methods for Business Analytics	4
BT2201 Business Concepts and Metrics for Analytics or IS2218 Digital Platforms for Business	4
CS2030 Programming Methodology I	4
CS2040 Data Structures and Algorithms	4
IS2101 Business and Technical Communication	4
ST2334 Probability and Statistics³	4
BT3102 Computational Methods for Business Analytics	4
BT3103 Application Systems Development for Business Analytics	4
IS3103 Information Systems Leadership and Communication	4
BT4103 Business Analytics Capstone Project	8
Programme Electives (PE)	24
Option 1: Choose 6 modules to make up 24 MCs from Lists A, B and C, with at least 2 modules each from Lists A and B. 4 of 6 modules must be at level-4000. List A (Business Applications): DBA3712 Dynamic Pricing and Revenue Management IE3120 Manufacturing Logistics IS3150 Digital Media Marketing IS3240 Digital Platform Strategy and Architecture BT4013 Analytics for Capital Market Trading and Investment BT4016 Risk Analytics for Financial Services BT4211 Data-Driven Marketing BT4212 Search Engine Optimization and Analytics DBA4811 Analytical Tools for Consulting IS4241 Social Media Network Analysis IS4242 Intelligent Systems and Techniques IS4250 Healthcare Analytics IS4262 Digital Product Management MKT4812 Marketing Analytics List B (Analytics Methods): BT3017 Feature Engineering for Machine Learning IE2110 Operations Research I ⁴, or DBA3701 Introduction To Optimisation CS3243 Introduction to Artificial Intelligence CS3244 Machine Learning CS4248 Natural Language Processing DBA3803 Predictive Analytics in Business BSE4711 Econometrics for Business II BT4012 Fraud Analytics BT4015 Geospatial Analytics BT4221 Big Data Techniques and Technologies/ Advanced Analytics with Big Data Technologies BT4222 Mining Web Data for Business Insights BT4240 Machine Learning for Predictive Data Analytics BT4241 Causal Impact Analytics for Business Applications IS4241 Social Media Network Analysis IE4210 Operations Research II ST3131 Regression Analysis ST4245 Statistical Methods for Finance List C (Technology Implementation): IS3107 Data Engineering IS3221 ERP Systems with Analytics Solutions IS3261 Mobile Apps Development for Enterprise BT4014 Analytics Driven Design of Adaptive Systems IS4228 Information Technologies in Financial Services IS4234 Governance, Regulation, and Compliance Technology IS4246 Smart Systems and AI Governance IS4302 Blockchain and Distributed Ledger Technologies IS4303 IT-Mediated Financial Solutions and Platforms Specialisations (20 MCs): Students may choose to read one or more specialisations for the BSc(Business Analytics) programme. In the case of common modules between these specialisations, the extent of double counting should be no more than 8 MCs among the specialisations. To ensure academic integrity of NUS specialisations, at least 60% of the Specialisation requirements to be earned from courses read at NUS. Some of the courses require pre-requisites from outside this list. Students must have the pre-requisites to take them. To be awarded the Financial Analytics Specialisation, students must satisfy the followings: Set I (select any 2 modules)⁵: • BT4013 Analytics for Capital Market Trading and Investment • BT4016 Risk Analytics for Financial Services • IS4228 Information Technologies in Financial Services Set II (select any 3 courses): • BT3102 Computational Methods for Business Analytics • BT4012 Fraud Analytics • BT4221 Big Data Techniques and Technologies/ Advanced Analytics with Big Data Technologies • BT4222 Mining Web Data for Business Insights • IS3107 Data Engineering • IS4226 Systematic Trading Strategies and Systems • IS4234 Governance, Regulation, and Compliance Technology • IS4302 Blockchain and Distributed Ledger Technologies • IS4303 IT-mediated Financial Solutions and Platforms To be awarded the Marketing Analytics Specialisation, students must satisfy the followings: Set I (select any 2 modules)⁵: • BT4211 Data-Driven Marketing • BT4212 Search Engine Optimization and Analytics • BT4222 Mining Web Data for Business Insights Set II (select any 3 courses): • BT3017 Feature Engineering for Machine Learning • BT4014 Analytics Driven Design of Adaptive Systems • BT4015 Geospatial Analytics • BT4221 Big Data Techniques and Technologies/ Advanced Analytics with Big Data Technologies • IS3107 Data Engineering • IS3150 Digital Media Marketing • IS3240 Digital Platform Strategy and Architecture • IS4234 Governance, Regulation, and Compliance Technology • IS4241 Social Media Network Analysis • IS4262 Digital Product Management To be awarded the Machine Learning-based Analytics Specialisation, students must satisfy the followings at 20 MCs: Set I (Select any 2 modules)⁵: • BT3017 Feature Engineering for Machine Learning • BT4222 Mining Web Data for Business Insights • IS4242 Intelligent Systems and Techniques • IS2109 AI and Machine Learning Techniques I • IS3109 AI and Machine Learning Techniques II Set II (Select any 3 courses): • BT4012 Fraud Analytics • BT4014 Analytics Driven Design of Adaptive Systems • BT4221 Big Data Techniques and Technologies/ Advanced Analytics with Big Data Technologies • BT4240 Machine Learning for Predictive Data Analytics • BT4241 Causal Impact Analytics for Business Applications • BT4301 Business Analytics Solutions Development and Deployment • CS3243 Introduction to Artificial Intelligence • CS3244 Machine Learning • CS4248 Natural Language Processing • IS3107 Data Engineering • IS4246 Smart Systems and AI Governance	All modules are 4 MCs.
BT4101 BSc Dissertation or IS4010 Digital Transformation Leadership Programme (old title: Industry Internship Programme)6	12
UNRESTRICTED ELECTIVES		36
Grand Total		160

¹Students 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.²Students are encouraged to take these MA module options should they wish to pursue a more rigorous treatment of the subject topics covered.
^{3 If a student has taken (ST2131 or MA2216 or MA2116 or MA2116T) and ST2132, then the student does not need to take ST2334.}
⁴Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective module.
⁵ Students can choose to do all three modules from Set I and count one of them towards Set II to fulfil the module requirement for the specialisation.
⁶ Students can choose to take on any current 12 MCs or more internship-related programmes within the School of Computing (e.g., CP3880 Advanced Technology Attachment Programme (ATAP)) and/or within NUS (e.g., TR3203 Start-up Internship Programme from the NUS Overseas College (NOC) programme in place of IS4010 Digital Transformation Leadership Programme (old title: Industry Internship Programme) to satisfy the industry experience requirement.

For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/ba/ba-21-22/

Bachelor of Science in Business Analytics – Co-operative Education Programme

Degree Requirements

Table 8: Summary of degree requirements for Bachelor of Science (Business Analytics) – Co-operative Education Programme

Modules	MCs	Sub totals
UNIVERSITY LEVEL REQUIREMENTS¹		16
PROGRAMME REQUIREMENTS		120
Core Modules	64
BT1101 Introduction to Business Analytics	4
CS1010S Programming Methodology	4
CS2030 Programming Methodology I	4
IS1103 Ethics in Computing or or IS1108 Digital Ethics and Data Privacy	4
MA1311 Matrix Algebra, or MA1522 Linear Algebra for Computing²	4
MA1521 Calculus for Computing, or MA2002 Calculus²	4
BT2101 Econometrics Modeling for Business Analytics	4
BT2102 Data Management and Visualisation	4
BT2103 Optimization Methods in Business Analytics or BT3104 Optimization Methods for Business Analytics	4
BT2201 Business Concepts and Metrics for Analytics or IS2218 Digital Platforms for Business	4
CS2030 Programming Methodology I	4
CS2040 Data Structures and Algorithms	4
IS2101 Business and Technical Communication	4
ST2334 Probability and Statistics³	4
BT3102 Computational Methods for Business Analytics	4
BT3103 Application Systems Development for Business Analytics	4
IS3103 Information Systems Leadership and Communication	4
Programme Electives (PE)	24
Choose 6 modules to make up 24 MCs from both List A and List B, with at least 2 modules from each list. 4 of 6 modules must be at 4000 level. List A (Business Applications): DBA3712 Dynamic Pricing and Revenue Management IE3120 Manufacturing Logistics IS3240 Digital Platform Strategy and Architecture BT4013 Analytics for Capital Market Trading and Investment BT4016 Risk Analytics for Financial Services BT4211 Data-Driven Marketing BT4212 Search Engine Optimization and Analytics DBA4811 Analytical Tools for Consulting IS4241 Social Media Network Analysis IS4242 Intelligent Systems and Techniques IS4250 IT-enabled Healthcare Solutioning IS4262 Digital Product Management MKT4812 Marketing Analytics List B (Analytical Methods): BT3017 Feature Engineering for Machine Learning IE2110 Operations Research I⁴, or DBA3701 Introduction To Optimisation CS3243 Introduction to Artificial Intelligence CS3244 Machine Learning DBA3803 Predictive Analytics in Business BSE4711 Econometrics for Business II BT4012 Fraud Analytics BT4015 Geospatial Analytics BT4221 Big Data Techniques and Technologies/ Advanced Analytics with Big Data Technologies BT4222 Mining Web Data for Business Insights BT4240 Machine Learning for Predictive Data Analytics IS4241 Social Media Network Analysis IE4210 Operations Research II ST3131 Regression Analysis ST4245 Statistical Methods for Finance List C (Technology Implementation): IS3107 Data Engineering IS3221 ERP Systems with Analytics Solutions IS3261 Mobile Apps Development for Enterprise BT4014 Analytics Driven Design of Adaptive Systems IS4228 Information Technologies in Financial Services IS4234 Compliance and Regulation Technology IS4246 Smart Systems and AI Governance IS4302 Blockchain and Distributed Ledger Technologies Specialisations (20 MCs): Students may choose to read one or more specialisations for the BSc(Business Analytics) programme. In the case of common modules between these specialisations, the extent of double counting should be no more than 8 MCs among the specialisations. To ensure academic integrity of NUS specialisations, at least 60% of the Specialisation requirements to be earned from courses read at NUS. To be awarded the Financial Analytics Specialisation, students must satisfy the followings: Set I (select any 2 modules)⁵ : • BT4013 Analytics for Capital Market Trading and Investment • BT4016 Risk Analytics for Financial Services • IS4228 Information Technologies in Financial Services Set II (select any 3 modules): • BT4012 Fraud Analytics • BT4221 Big Data Techniques and Technologies/ Advanced Analytics with Big Data Technologies • BT4222 Mining Web Data for Business Insights • IS3107 Data Engineering • IS4234 Quality Control and Audit of IS • IS4302 Blockchain and Distributed Ledger Technologies To be awarded the Marketing Analytics Specialisation, students must satisfy the followings: Set I (select any 2 modules)⁵: • BT4211 Data-Driven Marketing • BT4212 Search Engine Optimization and Analytics • BT4222 Mining Web Data for Business Insights Set II (select any 3 modules): • BT3017 Feature Engineering for Machine Learning • BT4014 Analytics Driven Design of Adaptive Systems • BT4015 Geospatial Analytics • BT4221 Big Data Techniques and Technologies/ Advanced Analytics with Big Data Technologies • IS3107 Data Engineering • IS3240 Digital Platform Strategy and Architecture • IS4234 Compliance and Regulation Technology • IS4241 Social Media Network Analysis To be awarded the Machine Learning-based Analytics Specialisation, students must satisfy the followings: Set I (Select any 2 modules)⁵: • BT3017 Feature Engineering for Machine Learning • BT4222 Mining Web Data for Business Insights • IS4242 Intelligent Systems and Techniques • IS2109 AI and Machine Learning Techniques I • IS3109 AI and Machine Learning Techniques II Set II (Select any 3 modules): • BT4012 Fraud Analytics • BT4221 Big Data Techniques and Technologies/ Advanced Analytics with Big Data Technologies • BT4240 Machine Learning for Predictive Data Analytics • BT4301 Business Analytics Solutions Development and Deployment • CS3243 Introduction to Artificial Intelligence • CS3244 Machine Learning • IS3107 Data Engineering • IS4246 Smart Systems and AI Governance	All modules are 4 MCs.
Co-op Internship Scheme	32
BT2010 Business Analytics Immersion Programme	6
BT4010 Business Analytics Internship Programme⁶	12
BT4011 Business Analytics Capstone Industry Project	14
UNRESTRICTED ELECTIVES		24
Grand Total		160

² Students are encouraged to take these MA module options should they wish to pursue a more rigorous treatment of the subject topics covered.

³ If a student has taken (ST2131 or MA2216 or MA2116 or MA2116T) and ST2132, then the student does not need to take ST2334.

⁴ Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective module.

⁵ Students can choose to do all three modules from Set I and count one of them towards Set II to fulfil the module requirement for the specialisation.

⁶ BT4010 is equivalent to IS4010 (which is offered in regular programme).

For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/ba/ba-co-op-ed-21-22/

Bachelor of Engineering in Computer Engineering

Enrichment Programmes

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Advanced Technology Attachment Programme

The Advanced Technology Attachment Programme (ATAP) is a premium industrial attachment programme placing the better among our students in reputable and established organisations for the benefit of both. The objective of the six-month attachment programme is to enable students to apply their computing knowledge in computing-related projects through attachments at organisations.

ATAP aims to broaden students’ education by enabling them to appreciate the application of computing knowledge to industry-related projects. Students’ progress on projects will be monitored during attachment, and their performance will be assessed at the end of the attachment, based on the interim and final project reports. Students will be given 12 MCs with Completed Satisfactory (CS) grade upon successful completion of the programme.

For more details, please refer to: https://www.comp.nus.edu.sg/industry/intern/student/atap/

Industry Internship Programme

The Industry Internship Programme (IIP) enables students to apply the computing knowledge and skills that they have acquired in class to industry internships in companies/organizations. Students, work in pairs, in industry internships will be jointly guided by supervisors from both the companies/organizations and the school. Their progress on internship projects will be monitored during internship period, and their performance will be assessed through letter grades at the end of the internship. The internship duration will be 6 months, consisting of both a full-time and part-time component. Full-time internship attachment will last for 3 months during the NUS vacation period, and will continue on a part-time basis that will last for 3 months during the NUS study semester. Students will be given 12 MCs upon successful completion of the programme.

More details can be found at: https://www.comp.nus.edu.sg/industry/intern/student/iip/

Student Internship Programme

This internship programme is similar to ATAP in objective and quality, but unfolds in three rather than six months. It places students in established organisations, both local and overseas, so that they may work on industry related projects from government agencies and multinationals in sectors ranging from financial services to interactive digital media and bioinformatics research during their special terms which span from May to July annually. Students will receive 6 credits with Completed Satisfactory (CS) grade under CP3200 on successful completion of the internship.

More details can be found at: https://www.comp.nus.edu.sg/industry/intern/student/sip/

Incubation Project

Students who wish to experience the entrepreneurship spirit that permeates the School are welcome to bring their idea, put it into a business plan, and bring it into fruition. The School Incubation Centre provides support to students for their ideas to be germinated into a money-making business. Students could also earn credits towards their degree requirement through registering for CP3109 Incubation Project module. In this module, students will submit their reports to the Incubation Centre Review Committee. The committee will assess students’ ability in managing and operating their companies.

Besides the various technopreneurship modules offered by NUS, the School also offers a module on digital entrepreneurship that cover trends in the digital marketplace and emerging high-growth opportunities for digital businesses. The module will highlight issues facing companies with new products and services in an ever-changing digital marketplace. It also focuses on opportunity identification and sources of competitive differentiation, particularly as they relate to digital innovation. For more details, please refer to: https://www.comp.nus.edu.sg/entrepreneurship/

Other Information

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Programme Selection or Course Transfer

Transfer of programmes between the two departments: Computer Science and Information Systems and Analytics follows the course transfer procedure administered by the NUS Office of Admissions at: http://www.nus.edu.sg/oam. Students may request to be transferred into the Bachelor of Engineering (Computer Engineering) programme at the end of the second semester. Success of transfer will depend on the quota available in the targeted programme and the academic standing of the students.

Advanced Placement Credits and Exemptions

Workload

All students are required to read at least 18 MCs every semester throughout their candidature, except during the following semesters when they are allowed to read fewer MCs:

the final semester before completion of all graduation requirements for the degree; and
the semester in which the students are undergoing industrial attachment or doing their final year projects.

Students who fail to sign up for tutorial/laboratory/recitations for their module(s) will be automatically withdrawn from class. The maximum workload permissible per semester will be subjected to approval by the University and home faculty. For the first semester of study, single degree students can sign up no more than 23 MCs. Students doing double degree or concurrent degree programmes can sign up for 6 modules (and not exceeding 27 MCs) in their first semester of study.

Continual Assessment

Leave of Absence

For details on Leave of Absence, please visit: http://www.nus.edu.sg/registrar/administrative-policies-procedures/undergraduate/leave-of-absence

For students in a Bachelor of Computing programme or Bachelor of Science in Business Analytics programme, all supporting documents must be submitted to the Office of Undergraduate Studies, School of Computing (COM1 #02-19) or uploaded together for their leave of application in EduRec.

For students in Bachelor of Engineering (Computer Engineering) programme, all supporting documents must be submitted to Department of Electrical and Computer Engineering, Faculty of Engineering (E4-05-42).

Financial Assistance and Awards

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Faculty-administered Scholarships

Faculty-administered Awards/Funds

The School administers the following Awards/Funds:

Medals and book prizes are awarded to top students at the various stages of study, in recognition of their outstanding academic performance, in addition to the Dean’s List. The faculty-administered prizes for undergraduates are as follows:

Book Prize	Basis
Tata Consultancy Services Asia Pacific Prizes	Best second- and third-year students throughout the course of study in either Computing or Computer Engineering course

In addition, the School of Computing has established the Honour List of Student Tutors award to recognise excellence in Teaching among its student tutors who have contributed to the teaching/learning at NUS. Each undergraduate will be presented a certificate of achievement.