NUS Bulletin AY2021/22

School of Computing

Undergraduate Education

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

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:

  1. Programme Requirements
  2. University Level Requirements (ULR)
  3. 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
MA2001 Linear Algebra I 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 (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 module as a Science module. The Science module must be a module from List S1 (recommended) or List S2. Please click here for the lists.

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/cugresource/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.

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 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
MA2001 Linear Algebra I 4
ST2334 Probability and Statistics and 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.

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 (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 module as a Science module. The Science module must be a module from List S1 (recommended) or List S2. Please click here for the lists.

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://www.comp.nus.edu.sg/cugresource/per-cohort/cs/vn-21-22/

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.

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 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
MA2001 Linear Algebra I 4
ST2334 Probability and Statistics3 and one Science Module4 8
UNRESTRICTED ELECTIVES 5   32
Grand Total   160

1  Students 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 (that precludes ST2334), he/she will have to take both ST2131 and ST2132 pair to fulfil the BComp(CS) degree requirements.

4 Students may take either a Physics, Chemistry or Life-Science module as a Science module. The Science module must be a module from List S1 (recommended) or List S2. Please click here for the lists.

5   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, please visit: https://www.comp.nus.edu.sg/cugresource/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 REQUIREMENTS 1   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
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 Compliance and Regulation Technology
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
MA2001 Linear Algebra I 4
MA1521 Calculus for Computing 4
ST2334 Probability and Statistics5 4  
UNRESTRICTED ELECTIVES6   32
Grand Total   160

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.  One programme requirement is used to satisfy the new university level requirements, specifically CS1010 will satisfy the Digital Literacy pillar.

CS1010 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, the additional MCs beyond the 12-MCs allocated to Industry Experience Requirement should be taken from Unrestricted Electives and/or exempted modules.

5  Students pursuing a Second Major in Mathematics or Statistics will take ST2131 Probability in place of ST2334 Probability and Statistics. The students will take ST2132 as a core module in the second major in Statistics programme and are highly encouraged to take ST2132 as an elective module in the second major in Mathematics programme.   If a student who has already taken ST2131 quits the Second major in Mathematics or Statistics, he/she will have to take ST2132 to fulfil the BComp (Information Security) degree requirements.

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/cugresource/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
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    Compliance and Regulation Technology
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
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
MA2001 Linear Algebra I 4
ST2334 Probability and Statistics5 4  
UNRESTRICTED ELECTIVES6   20
Grand Total   160

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. One programme requirement is used to satisfy the new university level requirements, specifically CS1010 will satisfy the Digital Literacy pillar.

CS1010 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  Students pursuing a Second Major in Mathematics or Statistics will take ST2131 Probability in place of ST2334 Probability and Statistics. The students will take ST2132 as a core module in the second major in Statistics programme and are highly encouraged to take ST2132 as an elective module in the second major in Mathematics programme.   If a student who has already taken ST2131 quits the Second major in Mathematics or Statistics, he/she will have to take ST2132 to fulfil the BComp (Information Security) degree requirements.

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/cugresource/per-cohort/isc/isc-co-oped-21-22/

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.

University Scholars Programme (Information Systems)
Students in the University Scholars Programme who choose the Bachelor of Computing (Information Systems) major will take the IS programme, but 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.

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.

To be awarded with specialisations, students have to complete 5 modules (20 MCs) in the list of modules included for a specialisation. Students can only choose to pursue one of the three specialisations: Electronic Commerce, Financial Technology or Digital Innovation.


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  
CS2102 Database Systems2 or BT2102 Database Management and Visualization 4  
IS2101 Business and Technical Communication 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  
IS3107 Data Engineering 4  
IS4103 Information Systems Capstone Project 8  
IS4301 Agile IT with DevOps 4  
MA1312 Calculus with Applications or
MA1521 Calculus for Computingor
MA2002 Calculus
4  
ST2334 Probability and Statistics4 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
IS3261 Mobile Apps Development for Enterprise
IS4151 AIoT Solutions and Development
IS4262 Digital Product Management

Financial Technology
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
CS2105 Introduction to Computer Networks
CS3240 Interaction Design
CS3243 Introduction to Artificial Intelligence
IS3221 ERP Systems with Analytics Solutions
BT4014 Analytics Driven Design of Adaptive Systems
IS4100 IT Project Management
IS4204 IT Governance
IS4234 Compliance and Regulation Technology
IS4243 Information Systems Consulting
IS4250 IT-enabled Healthcare Solutioning

IT Business Innovation and Entrepreneurship
IS3251 Principles of Technology Entrepreneurship
IS4152 Affective Computing
IS4242 Intelligent Systems and Techniques
IS4241 Social Media Network Analysis
IS4261 Designing Tech Business Innovations

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

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. 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)5 :
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
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)5:
IS3240 Digital Platform Strategy and Architecture
IS4261 Designing IT-enabled Business Innovations
IS4262 Digital Product Management

Set II (Select any 3 modules):
IS3150 Digital Media Marketing
IS4100 IT Project Management
IS4234 Compliance and Regulation Technology
IS4236 Cloud Services and Infrastructure Management
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.

To be awarded the Electronic Commerce Specialisation, students must satisfy the followings:
Set I (Select any 2 modules)5:
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)5:
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
IS3221 Enterprise Resource Planning Systems
IS4231 Information Security Management
IS4233 Legal Aspects of Information Technology
IS4234 Compliance and Regulation Technology
IS4242 Intelligent Systems and Techniques

Intelligent Systems Solutioning Specialisation (new)

To be awarded the Intelligent Systems Solutioning Specialisation, students must satisfy the followings: 
Set I (Select any 2 modules)5
BT4014 Analytics Driven Design of Adaptive Systems
IS4242 Intelligent Systems and Techniques
IS4246 Smart Systems and AI Governance

Set II (Select any 3 modules):
BT3017 Feature Engineering for Machine Learning
CS3243 Introduction to Artificial Intelligence
IS3221 ERP Systems with Analytics Solutions
IS4151 AIoT Solutions and Development
IS4152 Affective Computing
IS4243 Information Systems Consulting
IS4248 Digital Business and the Metaverse

All modules are
4 MCs modules.
 
CP4101 B.Comp. Dissertation or IS4010 Industry Internship Programme 6 12  
UNRESTRICTED ELECTIVES 7   36
Grand Total   160

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 MA1521 to be chosen if student wants to keep the option of switching to the Computer Science stream.
4 For students taking Second Major in Statistics, they can replace ST2334 with ST2131 to meet first major requirement. For students taking the Second Major in Mathematics, they can replace ST2334 with both ST2131 and ST2132 to meet first major requirement. The MCs for ST2132 come from UE. For students taking the minor in Mathematics, they can replace ST2334 with ST2131 and take ST2132 as an unrestricted elective to meet first major requirement.
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., TR3202 Start-up Internship Programme from the NUS Overseas College (NOC) programme in place of IS4010 Industry Internship Programme to satisfy the industry experience requirement).
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/cugresource/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 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 4  
BT2103 Business Concepts and Metrics for Analytics 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
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
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
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 specialisation(s). 

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
• BT4222 Mining Web Data for Business Insights
• IS3107 Data Engineering
• IS4234 Compliance and Regulation Technology
• 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
• 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 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

Set II
 (Select any 3 modules): 
• BT4012 Fraud Analytics
• 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
• IS3107 Data Engineering
• IS4246 Smart Systems and AI Governance

All modules
are 4 MCs.
 
BT4101 BSc Dissertation or IS4010 Industry Internship Programme6 12  
UNRESTRICTED ELECTIVES   36
Grand Total   160

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 For students taking Second Major in Statistics, they can replace ST2334 with ST2131 to meet first major requirement. For students taking the Second Major in Mathematics, they can replace ST2334 with both ST2131 and ST2132 to meet first major requirement. The MCs for ST2132 come from Unrestricted Electives. For students taking the minor in Mathematics, they can replace ST2334 with ST2131 and take ST2132 as an unrestricted elective to meet first major requirement.
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 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 Industry Internship Programme to satisfy the industry experience requirement.

For more details and updates, please visit: https://www.comp.nus.edu.sg/cugresource/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 MA2001 Linear Algebra I2 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 4  
BT2201 Business Concepts and Metrics for Analytics 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
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 specialisation(s). 

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
• 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
• 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

Set II
 (Select any 3 modules): 
• BT4012 Fraud Analytics
• 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
• 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

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 For students taking Second Major in Statistics, they can replace ST2334 with ST2131 to meet first major requirement. For students taking the Second Major in Mathematics, they can replace ST2334 with both ST2131 and ST2132 to meet first major requirement. The MCs for ST2132 come from UE. For students taking the minor in Mathematics, they can replace ST2334 with ST2131 and take ST2132 as an unrestrictive elective to meet first major requirement.

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

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/cugresource/per-cohort/ba/ba-co-op-ed-21-22/

Bachelor of Engineering in Computer Engineering

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

Enrichment Programmes

Other Information

Financial Assistance and Awards