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.

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
Common Curriculum (including University Level Requirements)
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.

Degree Requirements

Summary of degree requirements for Bachelor of Computing (Computer Science)

MODULES	MCS	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) Modules and Cross-disciplinary (CD) Modules Students are required to take 12MCs from the above modules with at least two ID modules and no more than one CD module to satisfy the 12 MCs required in this group.	12
PROGRAMME REQUIREMENTS		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 Professionals²	4
CS2103T Software Engineering²	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 Depth³	32
Complete 32 MCs of computing modules satisfying the following constraints: Satisfy at least one CS Focus Area by completing 3 modules in the Area Primaries with at least one module at Level-4000 or above for that focus area. Complete at least 12 MCs at level-4000 or above Complete at least 6 MCs and at most 12 MCs of Industry Experience modules Students with CAP of 4.00 or higher may opt to replace the Industry Experience modules with the programme’s dissertation module (i.e. CP4101). Students who aim for Honours (Highest Distinction) must pass the programme’s dissertation module (i.e. CP4101). All modules except Industry Experience must be CS/IFS/CP-coded At most 12 MCs CP-coded modules (aside from Industry Experience).
Mathematics and Sciences	12
MA1521 Calculus for Computing⁴	4
MA1522 Linear Algebra for Computing	4
ST2334 Probability and Statistics⁵	4
UNRESTRICTED ELECTIVES⁶		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.
Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester.
For students in a double-degree programme, modules 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/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 module 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-22-23/

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.

Degree Requirements

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

Modules	MCs	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) Modules and Cross-disciplinary (CD) Modules Students are required to take 12MCs from the above modules with at least two ID modules and no more than one CD module to satisfy the 12 MCs required in this group.	12
PROGRAMME REQUIREMENTS		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 Professionals²	4
CS2103T Software Engineering²	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 Depth³	44
CS2309 CS Research Methodology	4
Complete 20 MC of CS/CP/IFS-coded modules³ or Industry Experience modules satisfying the following constraints: Satisfy at least one CS Focus Area completing 3 modules in the Area Primaries with at least one module at Level-4000 or above for that focus area. Complete at least 12 MC at level-4000 or above. At most 12 MC of CP-coded modules (including Industry Experience). The industry experience modules are as follows: A 6-month internship through CP3880 Advanced Technology Attachment Programme (12 MCs), IS4010 Industry Internship Programme (12 MCs), or TR3202 Start-up Internship Programme (12 MCs); A 3-month internships through one of the followings: CP3200 Internship (6 MCs), CP3202 Internship II (6 MCs), CP3107 Computing for Social Service Agencies I (6 MCs), CP3110 Computing for Social Service Agencies II (6 MCs); Other forms of industry experience approved by the Department of Computer Science.	20
CP3209 Undergraduate Research Project in Computing	8
CP4101 B.Comp. Dissertation	12
Mathematics and Sciences	12
MA1521 Calculus for Computing⁴	4
MA1522 Linear Algebra for Computing	4
ST2334 Probability and Statistics⁵	4
UNRESTRICTED ELECTIVES⁶		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.
Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester.
For students in a double-degree programme, modules 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/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 module 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-22-23/

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.

Degree Requirements

Summary of degree requirements for Bachelor of Computing (Information Security)

MODULES	MCS	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) Modules and Cross-disciplinary (CD) Modules Students are required to take 12MCs from the above modules with at least two ID modules and no more than one CD module to satisfy the 12 MCs required in this group.	12
PROGRAMME REQUIREMENTS		84
Computing Foundation	28
CS1231S Discrete Structures	4
CS2040C Data Structures and Algorithms	4
CS2100 Computer Organisation	4
CS2101 Effective Communication for Computing Professionals²	4
CS2113T Software Engineering and Object-Oriented Programming ²	4
CS2105 Introduction to Computer Networks	4
CS2106 Introduction to Operating Systems	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 Computer Security	4
IS4231 Information Security Management	4
Programme Electives Complete 12 MCs from the following list of modules: 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 courses at level 4000 or above approved by the SoC UG Office	12
Computing Requirements	12
Complete 12 MCs of CS-coded, IS-coded, or CP-coded modules subject to the following conditions: CS-coded and IS-coded modules must be at level-3000 or above. At least 6 MCs must consist of industrial experience modules.	12
Mathematics	12
MA1521 Calculus for Computing	4
MA1522 Linear Algebra for Computing	4
ST2334 Probability and Statistics³	4
UNRESTRICTED ELECTIVES⁴		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 Students taking CS2113T Software Engineering & Object-Oriented Programming must take CS2101 Effective Communication for Computing Professionals in the same semester.
^{3 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) and ST2132, then the student does not need to take ST2334.}
⁴Students without A-level or H2 mathematics or equivalent are required to complete MA1301/X Introductory Mathematics or equivalent as part of the UE.

For more details, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/isc/isc-22-23/

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)

Students who aim for Honours (Highest Distinction) must pass the CP4101 BComp Dissertation. The modular credits for CP4101 will count towards Unrestricted Electives. The students in the Co-operative Education Programme for Information Security can complete the BComp Dissertation in the following ways:

Option 1: The student can complete CP4101 over Year 3 Sem 2 and Year 4 Sem 2 subject to the approval of the supervisor.

Option 2: The student can work on FYP only supervised by academic staff from NUS over Year 4 (Sem 1 and Sem 2). In this case, 6-MC workload for FYP during industrial attachment in Year 4 Sem 1 will be treated similar to taking evening modules during internship. Internship III will still be mapped to IFS4201 Information Security Industry Capstone Project (8 MCs) and IFS4202 Information Security Practicum Programme (6 MCs).

Option 3: The student can complete CP4101 jointly supervised by the industry supervisor and an academic staff from School of Computing in Year 4. The FYP will be initiated when the student is in industry in Year 4 Sem 1 and will be completed in the semester he/she returns to NUS, i.e., Year 4 Sem 2. In this case, Internship III will be mapped to IFS4201 Information Security Industry Capstone Project (8 MCs) and CP4101 BComp Dissertation (First semester). Both IFS4201 and CP4101 are graded.

Degree Requirements

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

MODULES	MCS	Sub Totals
COMMON CURRICULUM REQUIREMENTS ¹		40
University Level Requirements: 6 University Pillars	24
Digital Literacy --- CS1010 Programming Methodology	4
Critique and Expression --- GEX%	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) Modules and Cross-disciplinary (CD) Modules Students are required to take 12MCs from the above modules with at least two ID modules and no more than one CD module to satisfy the 12 MCs required in this group.	12
Computing Ethics --- IS1108 Digital Ethics and Data Privacy	4
PROGRAMME REQUIREMENTS		100
Computing Foundation	28
CS1231S Discrete Structures	4
CS2040C Data Structures and Algorithms	4
CS2100 Computer Organisation	4
CS2101 Effective Communication for Computing Professionals²	4
CS2105 Introduction to Computer Networks	4
CS2106 Introduction to Operating Systems	4
CS2113T Software Engineering and Object-Oriented Programming²	4
Information Security Requirements	32
CS2107 Introduction to Information Security	4
CS3235 Introduction to Computer Security	4
IFS4201 Information Security Industry Capstone Project ^{Mapped to part of Internship III}	8
IS4231 Information Security Management	4
Programme Electives Complete 12 MCs from the following list of modules: 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 4000-level or above courses approved by the SoC UG Office	12
Computing Requirements	4
Complete 4 MCs of CP-coded, CS-coded or IS-coded modules at level-3000 or above.	4
*CP3880 Advanced Technology Attachment Programme* ^{Internship II}	12
Co-operative Scheme Additional Requirements	12
IFS2200 Information Security Immersion Programme ^{Internship I}	6
IFS4202 Information Security Practicum Programme^{Part of Internship III}	6
Mathematics	12
MA1521 Calculus for Computing	4
MA1522 Linear Algebra for Computing	4
ST2334 Probability and Statistics³	4
UNRESTRICTED ELECTIVES⁴		20
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 Porgramming Methodology and it will satisfy the Digital Literacy pillar.
² Students taking CS2113T Software Engineering & Object-Oriented Programming must take CS2101 Effective Communication for Computing Professionals in the same semester.
³ 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) and ST2132, then the student does not need to take ST2334.
⁴ Students without A-level or H2 mathematics or equivalent are required to complete MA1301/X Introductory Mathematics or equivalent as part of the UE.

For more details, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/isc/isc-co-oped-22-23/

Bachelor of Computing in Information Systems

The four-year IS programme will provide students with a deep appreciation of the organisational context of ICT; strong proficiency in the design and development of value-adding infocomm solutions; and strong proficiency in the cost effective management of infocomm projects. This multidisciplinary education on information systems focuses on the application and management of information technology to enhance the effectiveness of organisations and businesses. It also analyses the impact and trends of technology and the relevant implications for the economy and society.

Specialisations
Students can also package their own specialisations by reading modules that satisfy the specialisation requirements. Specialisations provide students the opportunity to gain focused, in-depth knowledge in specialised areas where information systems are deployed.

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). Available specialisations are: (a) Digital Product and Platform Management Specialisation; (b) Financial Technology Specialisation; and (c) Intelligent Systems Solutioning Specialisation.

Some of the modules require pre-requisites from outside this list. Students must have the pre-requisites to take them.

Degree Requirements

Summary of degree requirements for Bachelor of Computing (Information Systems)

Modules	MCs	Sub totals
COMMON CURRICULUM REQUIREMENTS ¹		40
University Level Requirements: 6 University Pillars	24
Digital Literacy --- CS1010J 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) Modules and Cross-disciplinary (CD) Modules Students are required to take 12 MCs from the above modules with at least two ID modules and no more than one CD module to satisfy the 12MCs required in this group.	12
PROGRAMME REQUIREMENTS		80
Core Modules	60
BT2102 Database Management and Visualization or CS2102 Database Systems²	4
CS2030 Programming Methodology II	4
CS2040 Data Structures and Algorithms	4
IS2101 Business and Technical Communication³	4
IS2102 Enterprise Systems Architecture and Design	4
IS2103 Enterprise Systems Server-side Design and Development	4
IS3103 Information Systems Leadership and Communication	4
IS3106 Enterprise Systems Interface Design and Development	4
CP4101 B.Comp Dissertation or Industrial Experience Requirement⁴	12
IS4103 Information Systems Capstone Project	8
MA1312 Calculus with Applications or MA1521 Calculus for Computing⁵or MA2002 Calculus	4
ST2334 Probability and Statistics⁶	4
Programme Electives (PE)	20
Complete 5 Information Systems programme elective modules with at least 3 modules 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 BT3017 Feature Engineering for Machine Learning CS3240 Interaction Design CS3243 Introduction to Artificial Intelligence IS3107 Data Engineering IS3221 ERP Systems with Analytics Solutions BT4014 Analytics Driven Design of Adaptive Systems 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 IS4301 Agile IT with DevOps IT Business Innovation and Entrepreneurship IS3251 Principles of Technology Entrepreneurship IS4152 Affective Computing IS4241 Social Media Network Analysis IS4242 Intelligent Systems and Techniques IS4261 Designing Tech Business Innovations IT Security and Legal Aspects CS2107 Introduction to Information Security IFS4101 Legal Aspects of Information Security IS4238 Strategic Cybersecurity IS4231 Information Security Management IS4233 Legal Aspects of Information Technology Information Systems 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). Some of the modules require pre-requisites from outside this list. Students must have the pre-requisites to take them. (A) Digital Product and Platform Management Specialisation (20 MCs) To be awarded the Digital Product and Platform Management, students must satisfy the followings: Set I (Select any 2 courses)^: 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 * Students can choose to do all three modules from Set I and count one of them towards Set II to fulfil the modules requirement for the specialisation. (B) Financial Technology Specialisation (20 MCs) To be awarded the Financial Technology Specialisation, students must satisfy the followings: Set I (Select any 2 courses)^: IS4228 Information Technologies in Financial Services IS4302 Blockchain and Distributed Ledger Technologies IS4303 IT-Mediated Financial Solutions and Platforms Set II* (Select any 3 courses): 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 * Students can choose to do all three modules from Set I and count one of them towards Set II to fulfil the modules requirement for the specialisation. (C) Intelligent Systems Solutioning Specialisation (20 MCs) To be awarded the Intelligent Systems Solutioning Specialisation, students must satisfy the followings: Set I (Select any 2 courses)^: BT4014 Analytics Driven Design of Adaptive Systems 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 * Students can choose to do all three modules from Set I and count one of them towards Set II to fulfil the modules requirement for the specialisation.	All modules are 4 MCs modules.
UNRESTRICTED ELECTIVES ⁷		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 CS2102 has a pre-requisite for CS1231 Discrete Structures. Students who wish to read CS2102 can read CS1231 as an unrestricted elective module.
³ Taught by the Centre for English Language Communication.
⁴ Students may take any internship programmes that are at least 12 MCs and of at least 6 months continuous duration (e.g. IS4010 Industry Internship Programme, CP3880 Advanced Technology Attachment Programme, NUS Overseas Colleges) to satisfy the industry experience requirement. Students with CAP 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 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 (12 MCs).
⁵ MA1521 to be chosen if student wants to keep the option of switching to Computer Science stream.
⁶ If a student has taken (ST2131 or MA2216 or MA2116) and ST2132, then the student does not need to take ST2334.
⁷ Students 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-22-23/

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.

Degree Requirements

Summary of degree requirements for Bachelor of Science (Business Analytics)

Modules	MCs	Sub totals
COMMON CURRICULUM REQUIREMENTS ¹		40
*University Level Requirements:* 6 University Pillars	24
Digital Literacy --- CS1010S 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) Modules and Cross-disciplinary (CD) Modules Students are required to take 12MCs from the above modules with at least two ID modules and no more than one CD module to satisfy the 12 MCs required in this group.	12
PROGRAMME REQUIREMENTS		80
Core Modules	60
MA1311 Matrix Algebra, or MA1522 Linear Algebra for Computing or MA2001 Linear Algebra I ²	4
MA1521 Calculus for Computing, or MA2002 Calculus²	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 Communication³	4
ST2334 Probability and Statistics⁴	4
BT3103 Application Systems Development for Business Analytics	4
IS3103 Information Systems Leadership and Communication	4
BT4101 B.Sc. Dissertation or Industry Experience Requirement⁵	12
BT4103 Business Analytics Capstone Project	8
Programme Electives (PE)	20
Complete 5 Business Analytics programme elective modules with at least 3 modules at Level-4000. 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 IT-enabled Healthcare Solutioning IS4262 Digital Product Management MKT4812 Market Analytics Analytics Methods BT2103 Optimization Methods in Business Analytics BT3017 Feature Engineering for Machine Learning BT3102 Computational Methods for Business Analytics IE2110 Operations Research I ⁶ 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 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 Technology Implementation IS3107 Data Engineering IS3221 ERP Systems with Analytics Solutions IS3261 Mobile Apps Development for Enterprise BT4014 Analytics Driven Design of Adaptive Systems BT4301 Business Analytics Solutions Development and Deployment IS4226 Systematic Trading Strategies and 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 Business Analytics 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 specialisation(s). Some of the modules require pre-requisites from outside this list. Students must have the pre-requisites to take them. Financial Analytics Specialisation (20 MCs) To be awarded the Financial Analytics Specialisation, students must satisfy the followings: Set I (Select any 2 courses)^: 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 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 Marketing Analytics Specialisation (20 MCs) To be awarded the Marketing Analytics Specialisation, students must satisfy the followings: Set I (Select any 2 courses): 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 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 Machine Learning-based Analytics Specialisation (20 MCS)To be awarded the Machine Learning-based Analytics Specialisation, students must satisfy the followings: Set I (Select any 2 courses)^: BT3017 Feature Engineering for Machine Learning BT4222 Mining Web Data for Business Insights IS4242 Intelligent Systems and Techniques Set II* (Select any 3 courses): BT4012 Fraud Analytics BT4014 Analytics Driven Design of Adaptive Systems BT4221 Big Data Techniques and Technologies BT4240 Machine Learning for Predictive Data Analytics 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 * Students can choose to do all three modules from Set I and count one of them towards Set II to fulfil the modules requirement for the specialisation.	All modules are 4 MCs.
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.
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 Taught by the Centre for English Language Communication.
⁴ If a student has taken (ST2131 or MA2216 or MA2116) and ST2132, then the student does not need to take ST2334.
⁵ Students may take any internship programmes that are at least 12 MCs and of at least 6 months continuous duration (e.g. IS4010 Industry Internship Programme, CP3880 Advanced Technology Attachment Programme, NUS Overseas Colleges) to satisfy the industry experience requirement. Students with CAP 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 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 BT4101 (12 MCs).
⁶ Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective module.

For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/ba/ba-22-23/

Bachelor of Engineering in Computer Engineering

For details on curriculum and degree requirements, please visit: https://ceg.nus.edu.sg/curriculum/

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 either CP3200 or CP3202 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.