Turing Cohort 2023/2024
Overview
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 pursuing the Bachelor of Computing (Computer Science) degree will be eligible for admission into TP at the end of their first or second semester of studies based on their Grade Point Average (GPA) and interview. Students in this programme will be assigned CS professors as their mentors to help them to build their research track records.
Degree Requirements
Students in the programme must maintain a minimum Grade Point Average (GPA) of 4.00 in every semester of their studies and must complete the requirements of Bachelor of Computing (Computer Science), with the following variations:
- They will read CS2309 CS Research Methodology (4 units). They will have 28 units remaining in the Unrestricted Electives.
- They will take CP3209 Undergraduate Research in Computing (8 units).
- They will take CP4101 BComp Dissertation (12 units) with research content to meet the Industrial Experience Requirement.
NUS Overseas Colleges (NOC) – Computer Science – Turing Programme
Students who attended NOC programme may:
- count ETP3202L Innovation & Enterprise Case Study and Analysis towards Unrestricted Electives. Students working on computer systems term projects for ETP3202I/L may seek approval to instead take ETP3202P, which counts towards CS3281/2 Thematic Systems Project I/II. Alternatively, ETP3202L can be mapped to ETP3202E in which 8 units of CS-coded electives at level-3000 can be considered for the fulfilment of CS Breadth and Depth Requirements.
- count ETP3203L Innovation & Enterprise Internship Practicum (8 units) towards CS3882 Breakthrough Ideas for Digital Markets (4 units) and one unrestricted elective course (4 units).
- count ETP3206L Innovation & Enterprise Internship (12 out of 16 units) towards Industrial Experience Requirement. The remaining 4 units will be deemed as unrestricted electives.
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 | |
| Computer Ethics | 4 | |
| 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 Professionals and CS2103T Software Engineering 2 | 8 | |
| 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 | 44 | |
| CS2309 CS Research Methodology | 4 | |
Complete 20 units of CS/CP/IFS-coded courses 3 or Industry Experience courses satisfying the following constraints:
The industry experience courses are as follows:
| 20 | |
| CP3209 Undergraduate Research in Computing | 8 | |
| CP4101 B.Comp. Dissertation (with research content) | 12 | |
| Mathematics and Sciences | 12 | |
| MA1521 Calculus for Computing 4 | 4 | |
| MA1522 Linear Algebra for Computing 4 | 4 | |
| ST2334 Probability and Statistics 5 | 4 | |
| UNRESTRICTED ELECTIVES 6 | 28 | |
| 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.
4 Students pursuing a double degree in Computer Science and Mathematics/Applied Mathematics are recommended to replace MA1521 Calculus for Computing and MA1522 Linear Algebra for Computing by MA2002 Calculus and MA2001 Linear Algebra I respectively.
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.
