Master of Science in Computing programme is designed to enhance your knowledge and skills by providing you with a broad view of information systems, in addition to valuable hands-on experiences. If you are interested in developing new technologies and creating innovative applications, Master of Science in Computing will be ideal for you. Infocomm industry has been a key contributor to economic development and the driving force behind the fast growing knowledge-based economy in Singapore. Infocomm technologies are the foundation for many applications in industry, government and other institutions. Singapore needs to have an infocomm-savvy workforce and globally competitive infocomm manpower to sustain national economic competitiveness.
This programme is distinctive in its emphasis on industrial strength projects as an essential component of the curriculum. You will not only acquire knowledge in the classroom but also be expected to confidently and innovatively apply what you have learned.
While working with our partner centres/institutes, you will be challenged with real problems faced by today's industries, gaining highly sought-after application development and research experiences. The programme will provide students with hands-on research/application experience through strong collaboration with aligned institutes, centres and labs, e.g. the Living Analytics Research Centre (LARC).
The programme is designed for full-time study (1 year). Part-time admission (2 years) will only be considered for exceptionally strong applicants who cannot enrol full-time.
PROGRAMME TRACKS & DETAILS
MASTER OF SCIENCE IN COMPUTING - TECHNOLOGY TRACKS OVERVIEW
We encourage individuals interested in technology related R&D to apply for a Technology Track in our Master of Science in Computing programme.
The programme currently offers 3 technology tracks:
Students will gain in-depth knowledge of relevant security issues in computer systems, networks and their applications.
Thus, students are prepared for a career in a variety of scenarios from large corporations to the development of their own entrepreneurial information security capability.
Students will master and develop scalable and secure solutions to store and retrieve large datasets of diverse types (e.g. spatial, multimedia, text, etc.), as well as analytics methods for mining and understanding collections of evolving data and social networks.
Students will be trained with good theoretical knowledge and excellent practical skills in designing and implementing complex software systems.
This track is ideal for those students who want to upgrade and expand their knowledge and pursue a career in the software industry.
PROGRAMME STRUCTURE
Students are required to complete 10 Course Units (CUs) comprising of Core Courses, Elective Courses and a Capstone Project.
The curriculum composition is as follows:
| Programme Track | Core Courses | Elective Courses | Capstone Project | Total Course Units |
|---|---|---|---|---|
| Technology Tracks
|
2 CUs | 4 CUs | 4 CUs | 10 CUs |
CURRICULUM MODAL SCHEDULE
The following is the modal schedule of the 3 tracks that we are offering.
For part-time applicants, do note that there are classes conducted during day time in weekdays. e.g. IS4xx series courses will be held during weekdays, for 3hours and ranging from 8:00am - 6:45pm. Actual scheduling of the classes will only be determined nearer to beginning of teaching term.
Data Science & Engineering (DSE) Track
| Term | Core Courses | Electives |
|---|---|---|
| 1 | IS712: Machine Learning |
CS420: Introduction to Artificial Intelligence
IS424: Data Mining and Business Analytics IS428: Visual Analytics for Business Intelligence IS434: Social Analytics & Applications IS708: Mobile and Distributed Systems IS711: Learning and Planning in Intelligent Systems IS714: Data Security/ IS715: Systems Security (offered in alternate Academic Year) |
| 2 | IS709: Network Analysis and Mining |
CS423: Heuristic Search and Optimization
CS424: Image Perception CS425: Natural Language Communication CS426: Agent-based Modelling and Simulation IS415: Geospatial Analytics and Applications IS450: Text Mining and Language Processing IS451: Digital Analytics Technology IS702: Information Security IS703: Algorithms and Optimization IS706: Software Mining and Analysis |
Cybersecurity (CYBSEC) Track
| Term | Core Courses | Electives |
|---|---|---|
| 1 | IS714: Data Security/IS715: Systems Security (offered in alternate Academic Year) |
CS440: Foundations of Cybersecurity
CS442: Data Security and Privacy CS443: Software and Systems Security CS462: Internet of Things: Technology and Applications IS708: Mobile and Distributed Systems IS712: Machine Learning |
| 2 | IS702: Information Security |
CS441: Network Security
CS444: Strategic Cybersecurity Management CS461: Mobile and Pervasive Computing & Applications IS703: Algorithms and Optimization IS706: Software Mining and Analysis IS709: Network Analysis and Mining |
Software & Cyber-Physical Systems (SCPS) Track
| Term | Core Courses | Electives |
|---|---|---|
| 1 | IS708: Mobile and Distributed Systems |
CS301: IT Solution Architecture
CS440: Foundations of Cybersecurity CS443: Software and Systems Security CS462: Internet of Things: Technology and Applications IS211: Interaction Design and Prototyping IS442 Object Oriented Programming IS712: Machine Learning |
| 2 | IS706: Software Mining and Analysis |
CS441: Network Security
CS461: Mobile and Pervasive Computing and Applications IS447 Smart Healthcare in Asia IS702: Information Security IS709: Network Analysis and Mining |
Last updated on 23 Apr 2021 .