NUS Bulletin AY2023/24

School of Computing

Undergraduate Education

The School of Computing aims to provide a sound and forward-looking education to equip graduates for careers in IT and related fields. To this end, our courses integrate problem-solving skills with a foundation in IT and business. Graduates will be able to integrate new technology and develop themselves into future IT leaders, and to proceed to further studies.

The School offers direct entry to four-year undergraduate degree programmes, designed to meet the needs of distinct segments of the IT job market, and to better serve students with different interests, background, abilities and career orientation. Four-year programmes are designed to educate tomorrow’s technical leaders who will pioneer the development of novel technology. The programmes emphasise in-depth mastery of the scientific, engineering and organisational foundations that underlay the continuing progress in information and communications technologies and their applications. The maximum candidature period for a four-year programme is five years.

The School of Computing offers the following full-time Bachelor of Computing programmes, leading to:

  • Bachelor of Computing in Computer Science;
  • Bachelor of Computing in Information Security 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, College of Design and Engineering:

  • Bachelor of Engineering in Computer Engineering

The School also offers a wide array of minors and special programmes to full-time undergraduate students to provide more breadth and depth in their studies.

Please refer to our School’s web page at: http://www.comp.nus.edu.sg/cug/ for the latest details on the degree programmes.

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

Each programme consists of courses divided into three main categories:

  1. Programme Requirements
  2. Common Curriculum (including University Level Requirements)
  3. Unrestricted Electives

A course 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

The Bachelor of Computing (Honours) in Computer Science or BComp (CS) programme aims to nurture students for a rewarding computing career in various industry sectors. Suitable for those who love hands-on work and keen to apply computing technologies to solve real-world problems, the programme will equip students with the critical knowledge and capacity to take on the world with confidence.


Degree Requirements

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

COURSES UNITS SUBTOTALS
COMMON CURRICULUM REQUIREMENTS  1   40
University Level Requirements: 6 University Pillars 24  
Digital Literacy --- CS1101S Programming Methodology 4  
Critique and Expression --- ES2660 Communicating in the Information Age 4  
Cultures and Connections --- GEC% 4  
Data Literacy ---  Either GEA1000, BT1101, ST1131 or DSA1101 4  
Singapore Studies --- GES% 4  
Communities and Engagement ---  GEN% 4  
Computing Ethics --- IS1108 Digital Ethics and Data Privacy 4  

Interdisciplinary & Cross-Disciplinary Education
Comprises of Interdisciplinary (ID) Courses and Cross-disciplinary (CD) Courses
Students are required to take 12 units from the above courses with at least two ID courses and no more than one CD course to satisfy the 12 units required in this group.

12  
PROGRAMME REQUIREMENTS   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 Depth 3 32

Complete 32 units of Computing courses satisfying the following constraints:

  • Satisfy at least one CS Focus Area by completing 3 courses in the Area Primaries with at least one course at Level-4000 or above for that focus area.
  • Complete at least 12 units at level-4000 or above
  • Complete at least 6 units and at most 12 units of Industry Experience courses
  • Students with GPA of 4.00 or higher may opt to replace the Industry Experience courses with the programme’s dissertation course (i.e. CP4101).
  • Students who aim for Honours (Highest Distinction) must pass the programme’s dissertation course (i.e. CP4101).
  • All courses except Industry Experience must be CS/IFS/CP-coded
  • At most 12 units CP-coded courses (aside from Industry Experience).

The industry experience courses are as follows:

  • A 6-month internship through CP3880 Advanced Technology Attachment Programme (12 units), IS4010 Industry Internship Programme (12 units), or TR3202 Start-up Internship Programme (12 units);
  • A 3-month internships through one of the followings: CP3200 Internship (6 units), CP3202 Internship II (6 units), CP3107 Computing for Voluntary Welfare Organisations (6 units), CP3110 Computing for Voluntary Welfare Organisations II (6 units), ETP3205 Innovation & Enterprise Internship (6 units);
  • Other forms of industry experience approved by the Department of Computer Science.
 
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:

  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). ES2660 will satisfy the Critique and Expression pillar and CS1101S will satisfy the Digital Literacy pillar.
  2. Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester.
  3. For students in a double-degree programme, courses specifically listed for inclusion in breadth-and-depth may also be included.  Please refer to the respective DDP websites.
  4. Students pursuing double degree in Computer Science and Mathematics/Applied Mathematics are recommended to replace MA1521 Calculus for Computing by MA2002 Calculus.
  5. 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.
  6. Students without A-level or H2 Mathematics or equivalent are required to complete the bridging course MA1301/X or equivalent as part of the Unrestricted Electives.

For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/cs/cs-23-24/

The Turing Programme for Bachelor of Computing (Computer Science) programme [TP] is yet another special programme in Computer Science. TP aims to nurture students who aspire to engage in pure research careers in Computing. It is most suitable for students who love to solve technically challenging problems and are able to handle theoretical and practical work. Students will be selected for admission to TP based on their performance in selected courses, including CS2309 and CS3230 Students in TP are expected to build sufficient track records by the time they graduate to gain admission into PhD programmes in top schools including SoC. Students in this programme will be assigned CS professors as their mentors to help them to build their research track records.

Degree Requirements

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

Courses Units Subtotals
COMMON CURRICULUM REQUIREMENTS  1   40
University Level Requirements: 6 University Pillars 24  
Digital Literacy --- CS1101S Programming Methodology 4  
Critique and Expression --- ES2660 Communicating in the Information Age 4  
Cultures and Connections --- GEC% 4  
Data Literacy ---  Either GEA1000, BT1101, ST1131 or DSA1101 4  
Singapore Studies --- GES% 4  
Communities and Engagement ---  GEN% 4  
Computing Ethics --- IS1108 Digital Ethics and Data Privacy 4  
Interdisciplinary & Cross-Disciplinary Education
Comprises of Interdisciplinary (ID) Courses and Cross-disciplinary (CD) Courses
Students are required to take 12 units from the above courses with at least two ID courses and no more than one CD course to satisfy the 12 units required in this group.
12  
PROGRAMME REQUIREMENTS   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 units of CS/CP/IFS-coded courses3 or Industry Experience courses satisfying the following constraints:

  • Satisfy at least one CS Focus Area completing 3 courses in the Area Primaries with at least one course at Level-4000 or above for that focus area.
  • Complete at least 12 units at level-4000 or above.
  • At most 12 units of CP-coded courses (including Industry Experience).

The industry experience courses are as follows:

  • A 6-month internship through CP3880 Advanced Technology Attachment Programme (12 units), IS4010 Industry Internship Programme (12 units), or TR3202 Start-up Internship Programme (12 units);
  • A 3-month internships through one of the followings: CP3200 Internship (6 units), CP3202 Internship II (6 units), CP3107 Computing for Voluntary Welfare Organisations (6 units), CP3110 Computing for Voluntary Welfare Organisations II (6 units), ETP3205 Innovation & Enterprise Internship (6 units);
  • 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:

  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). ES2660 will satisfy the Critique and Expression pillar and CS1101S will satisfy the Digital Literacy pillar.
  2. Students taking CS2103T Software Engineering must take CS2101 Effective Communication for Computing Professionals in the same semester.
  3. For students in a double-degree programme, courses specifically listed for inclusion in breadth-and-depth may also be included.  Please refer to the respective DDP websites.
  4. Students pursuing double degree in Computer Science and Mathematics/Applied Mathematics are recommended to replace MA1521 Calculus for Computing by MA2002 Calculus.
  5. 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.
  6. Students without A-level or H2 Mathematics or equivalent are required to complete the bridging course MA1301/X or equivalent as part of the Unrestricted Electives.

For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/cs/tp-23-24/ 

The Bachelor of Computing in Information Security aims to:

  • To provide a broad-based, inter-disciplinary information security undergraduate programme within NUS
  • To contribute to the national focus on growing the pool of cyber security professionals in Singapore.
  • To produce graduates who are able to understand information security issues and practices from both technical and organisational points of view.

Degree Requirements

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

COURSES UNITS SUBTOTALS
COMMON CURRICULUM REQUIREMENTS  1   40
University Level Requirements: 6 University Pillars 24  
Digital Literacy --- CS1010 Programming Methodology 4  
Critique and Expression --- ES2660 Communicating in the Information Age 4  
Cultures and Connections --- GEC% 4  
Data Literacy ---  Either GEA1000, BT1101, ST1131 or DSA1101 4  
Singapore Studies --- GES% 4  
Communities and Engagement --- GEN% 4  
Computing Ethics --- IS1108 Digital Ethics and Data Privacy 4  
Interdisciplinary & Cross-Disciplinary Education
Comprises of Interdisciplinary (ID) Courses and Cross-disciplinary (CD) Courses
Students are required to take 12 units from the above courses with at least two ID courses and no more than one CD course to satisfy the 12 units required in this group.
12  
PROGRAMME REQUIREMENTS   84
Computing Foundation 32  
CS1231S Discrete Structures 4
CS2030 Programming Methodology II 4
CS2040C Data Structures and Algorithms 4
CS2100 Computer Organisation 4
CS2101 Effective Communication for Computing Professionals2 4
CS2103T Software Engineering2 4
CS2105 Introduction to Computer Networks 4
CS2106 Introduction to Operating Systems 4
Information Security Requirements 28
CS2107 Introduction to Information Security 4
Either
IFS4205 Information Security Capstone Project; or
(CS4238 Computer Security Practice and IFS4103 Penetration Testing Practice)
8
CS3235 Computer Security 4
IS4231 Information Security Management 4

Programme Electives
Complete 8 units from the following list of courses:
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

8
Computing Requirements 12

Complete 12 units of CS-coded, IS-coded, or CP-coded courses subject to the following conditions:

  • CS-coded and IS-coded courses must be at level-3000 or above.
  • At least 6 units must consist of industrial experience courses.

The industry experience courses are as follows:

  • A 6-month internship through CP3880 Advanced Technology Attachment Programme (12 units), IS4010 Industry Internship Programme (12 units), or TR3202 Start-up Internship Programme (12 units);
  • A 3-month internships through one of the followings: CP3200 Internship (6 units), CP3202 Internship II (6 units), CP3107 Computing for Voluntary Welfare Organisations (6 units), CP3110 Computing for Voluntary Welfare Organisations II (6 units), ETP3205 Innovation & Enterprise Internship (6 units);
  • Other forms of industry experience approved by the Department of Computer Science.
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 CS2103T Software Engineering 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 Unrestricted Electives.

For more details, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/isc/isc-23-24/

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 units 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-unit workload for FYP during industrial attachment in Year 4 Sem 1 will be treated similar to taking evening courses during internship. Internship III will still be mapped to IFS4201 Information Security Industry Capstone Project (8 units) and IFS4202 Information Security Practicum Programme (6 units).

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 units) 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

COURSES Units 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) Courses and Cross-disciplinary (CD) Courses
Students are required to take 12 units from the above courses with at least two ID courses and no more than one CD course to satisfy the 12 units required in this group.
12  
Computing Ethics --- IS1108 Digital Ethics and Data Privacy 4  
PROGRAMME REQUIREMENTS   100
Computing Foundation 32  
CS1231S Discrete Structures 4  
CS2030 Programming Methodology II 4  
CS2040C Data Structures and Algorithms 4  
CS2100 Computer Organisation 4  
CS2101 Effective Communication for Computing Professionals2 4  
CS2105 Introduction to Computer Networks 4  
CS2106 Introduction to Operating Systems 4  
CS2103T Software Engineering2 4  
Information Security Requirements 28  
CS2107 Introduction to Information Security 4  
CS3235 Introduction to Computer Security 4  
IFS4205 Information Security Industry Capstone Project Mapped to part of Internship III 8  
IS4231 Information Security Management 4  

Programme Electives
Complete 8 units from the following list of courses:
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

8  
Computing Requirements 4  
Complete 4 units of CP-coded, CS-coded or IS-coded courses 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 CS2103T Software Engineering 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 Unrestricted Electives.

For more details, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/isc/isc-co-oped-23-24/

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 courses 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 courses between these specialisations, the extent of double counting should be no more than 8 units 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 courses 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)

Courses Units 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) Courses and Cross-disciplinary (CD) Courses

Students are required to take 12 units from the above courses with at least two ID courses and no more than one CD course to satisfy the 12 units required in this group.

12  
PROGRAMME REQUIREMENTS   80
Core Courses 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 Computing
4  
ST2334 Probability and Statistics6 4  
Programme Electives (PE) 20  

Complete 5 Information Systems programme elective courses with at least 3 courses 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
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 units)
Students may choose to read one or more specialisations for the BComp (Information Systems) programme.  In the case of common courses between these specialisations, the extent of double counting should be no more than 8 units among the specialisation(s). 

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

(A) Digital Product and Platform Management Specialisation

To be awarded the Digital Product and Platform Management, students must complete 5 courses (20 units) from the prescribed list below:

  • IS3150 Digital Media Marketing
  • IS3240 Digital Platform Strategy and Architecture
  • 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
  • IS4261 Designing IT-enabled Business Innovations
  • IS4262 Digital Product Management

(B) Financial Technology Specialisation

To be awarded the Financial Technology Specialisation, students must complete 5 courses (20 units) from the prescribed list below:

  • BT4014 Analytics Driven Design of Adaptive Systems
  • IS3107 Data Engineering
  • IS4226 Systematic Trading Strategies and Systems
  • IS4228 Information Technologies in Financial Service Analyticss
  • IS4233 Legal Aspects of Information Technology
  • IS4234 Governance, Regulation, and Compliance Technology
  • IS4242 Intelligent Systems and Techniques
  • IS4246 Smart Systems and AI Governance
  • IS4302 Blockchain and Distributed Ledger Technologies
  • IS4303 IT-Mediated Financial Solutions and Platforms

(C) Intelligent Systems Solutioning Specialisation

To be awarded the Intelligent Systems Solutioning Specialisation, students must complete 5 courses (20 units) from the prescribed list below:

  • BT3017 Feature Engineering for Machine Learning
  • BT4014 Analytics Driven Design of Adaptive Systems
  • BT4221 Big Data Techniques and Technologies
  • IS3107 Data Enginerring
  • IS4151 AIoT Solutions and Development
  • IS4236 Cloud Services and Infrastructure Management
  • IS4242 Intelligent Systems and Techniques
  • IS4243 Information Systems Consulting
  • IS4246 Smart Systems and AI Governance
  • IS4302 Blockchain and Distributed Ledger Technologies
All courses are
4 units courses.
 
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 course.
3 Taught by the Centre for English Language Communication.
4 Students may take any internship programmes that are at least 12 units and of at least 6 months continuous duration (e.g. IS4010 Industry Internship Programme, CP3880 Advanced Technology Attachment Programme,  NUS Overseas Colleges) to satisfy the industry experience requirement. Students with GPA of 4.00 or higher may opt to replace the Industry Experience Requirement by CP4101 B.Comp. Dissertation. Students who aim for Honours (Highest Distinction) must pass the CP4101. Students with GPA of 4.00 or higher after completing at least 70% (i.e. 112 units) of the unit requirement for the degree programme may opt to replace the Industry Experience Requirement by CP4101 (12 units).
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 courses 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-23-24/

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

The Bachelor of Science (Business Analytics) degree programme is an inter-disciplinary undergraduate degree programme offered by the School of Computing with participation from the Business School, Faculty of Engineering, Faculty of Science, and Faculty of Arts and Social Sciences. This is a four-year direct honours programme which offers a common two-year broad-based inter-disciplinary curriculum where all students will read courses in Mathematics, Statistics, Economics, Accounting, Marketing, Decision Science, Industrial and Systems Engineering, Computer Science and Information Systems. Students in their third and fourth years of study may choose elective courses from two lists of either functional or methodological elective courses. Functional elective courses span business functions or sectors of marketing, retailing, logistics, healthcare, etc. Methodological elective courses include those related to big data techniques, statistics, text mining, data mining, social network analysis, econometrics, forecasting, operations research, etc. In sum, these elective courses span the most exciting and challenging areas of business analytics practice in the industry today.

Degree Requirements

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

Courses Units Sub
totals
COMMON CURRICULUM REQUIREMENTS  1   40
University Level Requirements: 6 University Pillars 24  
Digital Literacy --- CS1010A/S Programming Methodology 1 4  
Critique and Expression --- GEX% 4  
Cultures and Connections --- GEC%
4  
Data Literacy --- BT1101 Introduction to Business Analytics 4  
Singapore Studies --- GES% 4  
Communities and Engagement ---  GEN% 4  
Computing Ethics --- IS1108 Digital Ethics and Data Privacy
4  

Interdisciplinary & Cross-Disciplinary Education 

Comprises of Interdisciplinary (ID) Courses and Cross-disciplinary (CD) Courses

Students are required to take 12 units from the above courses with at least two ID courses and no more than one CD course to satisfy the 12 units required in this group.

12  
PROGRAMME REQUIREMENTS   80
Core Courses 60  
MA1311 Matrix Algebra, or MA1522 Linear Algebra for Computing2 4  
MA1521 Calculus for Computing, or MA2002 Calculus2 4  
BT2101 Econometrics Modeling for Business Analytics 4  
BT2102 Data Management and Visualisation 4  
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 courses with at least 3 courses at Level-4000.

Business Applications
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
IS4250 IT-enabled Healthcare Solutioning
IS4262 Digital Product Management

Analytics Methods
BT2103 Optimization Methods in Business Analytics
BT3017 Feature Engineering for Machine Learning
BT3102 Computational Methods for Business Analytics
CS3243 Introduction to Artificial Intelligence
CS3244 Machine Learning

CS4248 Natural Language Processing
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
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 units)
Students may choose to read one or more specialisations for the BSc (Business Analytics) programme.  In the case of common courses between these specialisations, the extent of double counting should be no more than 8 units among the specialisation(s). 

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

(A) Financial Analytics Specialisation

To be awarded the Financial Analytics Specialisation, students must complete 5 courses (20 units) from the prescribed list below:

  • BT3102 Computational Methods for Business Applications
  • BT4012 Fraud Analytics
  • BT4013 Analytics for Capital Market Trading and Investment
  • BT4016 Risk Analytics for Financial Services
  • BT4221 Big Data Techniques and Technologies
  • IS4226 Systematic Trading Strategies and Systems
  • IS4228 Information Technologies in Financial Services
  • IS4234 Governance, Regulation, and Compliance Technology
  • IS4302 Blockchain and Distributed Ledger Technologies
  • IS4303 IT-mediated Financial Solutions and Platforms

(B) Machine Learning-based Analytics Specialisation 

To be awarded the Machine Learning-based Analytics Specialisation, students must complete 5 courses (20 units) from the prescribed list below:

  • BT3017 Feature Engineering for Machine Learning
  • BT4012 Fraud Analytics
  • BT4014 Analytics Driven Design of Adaptive Systems
  • BT4221 Big Data Techniques and Technologies
  • BT4222 Mining Web Data for Business Insights
  • BT4240 Machine Learning for Predictive Data Analytics
  • BT4301 Business Analytics Solutions Development and Deployment
  • CS3243 Introduction to Artificial Intelligence
  • CS4248 Natural Language Processing
  • IS4246 Smart Systems and AI Governance

(C) Marketing Analytics Specialisation
To be awarded the Marketing Analytics Specialisation, students must complete 5 courses (20 units) from the prescribed list below:

  • BT3017 Feature Engineering for Machine Learning
  • BT4014 Analytics Driven Design of Adaptive Systems
  • BT4015 Geospatial Analytics
  • BT4211 Data-Driven Marketing
  • BT4212 Search Engine Optimization and Analytics
  • BT4222 Mining Web Data for Business Insights
  • IS3150 Digital Media  Marketing
  • IS4241 Social Media Network Analysis
  • IS4262 Digital Product Management
All courses
are 4 units.
 
UNRESTRICTED ELECTIVES   40
Grand Total   160


Notes:

1 Students can refer to: https://www.nus.edu.sg/registrar/academic-information-policies/undergraduate-students/general-education/for-students-admitted-from-AY2021-22 for the requirements for University Level Requirements. Two programme requirements are used to satisfy the new university level requirements, specifically BT1101 will satisfy the Data Literacy pillar and CS1010S will satisfy the Digital Literacy pillar. Students will take CS1010A and CS1010S in semester 1 and semester 2 respectively.

2 Students are encouraged to take these MA course 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 units 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 GPA of 4.00 or higher may opt to replace the Industry Experience Requirement by BT4101 B.Sc. Dissertation. Students who aim for Honours (Highest Distinction) must pass the BT4101. Students with GPA of 4.00 or higher after completing at least 70% (i.e. 112 units) of the unit requirement for the degree programme may opt to replace the Industry Experience Requirement by BT4101 (12 units).

For more details and updates, please visit: https://www.comp.nus.edu.sg/cug/per-cohort/ba/ba-23-24/