Master of Science in Computing

Evolve into an outstanding industry practitioner with our dynamic applied research

(former Masters of Applied Information Systems)

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.

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.

MSC Programme Brochure

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Programme Tracks & Details - 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:

Data Science & Engineering

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.

Cybersecurity

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.

Software & Cyber-Physical Systems

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 Data Science & Engineering Cybersecurity Software & Cyber-Physical Systems	6 CUs (With minimum 2 CUs from Core Courses)	4 CUs	10 CUs

Programme Track

Core Courses

Elective Courses

Capstone Project

Total Course Units

Technology Tracks

Data Science & Engineering
Cybersecurity
Software & Cyber-Physical Systems

6 CUs
(With minimum 2 CUs from Core Courses)

4 CUs

10 CUs

Curriculum Modal Schedule

The following is the modal schedule of the 3 tracks that we are offering.

Timing for classes are as follows:

CS or IS2XX/3XX/4XX series are scheduled during daytime on weekdays for 3 hours between 8:00am to 6:45pm
CS or IS6XX series are scheduled either on weekday evenings from 7:00pm to 10:15pm or Saturdays (8:15am to 11:30am; 12:00pm to 3:15pm)
CS or IS7XX series are scheduled on weekday evenings from 7:00pm to 10:15pm

Actual scheduling of the classes will only be determined nearer to beginning of teaching term.

Data Science & Engineering (DSE) Track

Core Courses:

CS701: Deep Learning and Vision
CS703: Optimization and Computing
CS705: Algorithms and Optimization (Offered in alternate Academic Year)
CS707: Generative Models for NLP and Multimodal Reasoning
CS711: Learning and Planning in Intelligent Systems
CS712: Machine Learning
IS713: Foundations for Data Analytics

Electives:

CS201: Data Structures and Algorithms
CS202: Design and Analysis of Algorithms
CS420: Artificial Intelligence Fundamentals
CS421: Principles of Machine Learning
CS422: Reasoning, Planning and Learning under Uncertainty
CS424: Generative AI for Vision
CS425: Generative AI for Natural Language Communication
CS426: Agent-based Modelling and Simulation
CS612: AI System Evaluation
IS415: Geospatial Analytics and Applications
IS424: Data Mining and Business Analytics
IS428: Visual Analytics for Business Intelligence
IS434: Social Analytics & Applications
IS446: Managing Customer Relations with Analytics – Asian Insights
IS450: Text Mining and Language Processing
IS451 Digital Analytics Technology
IS459: Big Data Architecture
CS702: Computational Interaction
CS704: Information Security
CS706: Software Mining and Analysis (Offered in alternate Academic Year)
CS708: Mobile and Distributed Systems (Offered in alternate Academic Year)
CS715: Systems and Data Security (Offered in alternate Academic Year)

Cybersecurity (CYBSEC) Track

Core Courses:

CS704: Information Security
CS715: Systems Security (Offered in alternate Academic Year)
CS441: Network Security
CS442: Data Security and Privacy
CS443: Software and Systems Security

Electives:

CS440: Foundations of Cybersecurity
CS444: Strategic Cybersecurity Management
CS445: Cyber Threat Intelligence
CS461: Mobile and Pervasive Computing & Applications
CS462: Internet of Things: Technology and Applications
CS612: AI System Evaluation
CS701: Deep Learning and Vision
CS702: Computational Interaction
CS703: Optimization and Computing
CS705: Algorithms and Optimization (Offered in alternate Academic Year)
CS706: Software Mining and Analysis (Offered in alternate Academic Year)
CS707: Generative Models for NLP and Multimodal Reasoning
CS708: Mobile and Distributed Systems (Offered in alternate Academic Year)
CS711: Learning and Planning in Intelligent Systems
CS712: Machine Learning
IS713: Foundations for Data Analytics

Software & Cyber-Physical Systems (SCPS) Track

Core Courses:

CS702: Computational Interaction
CS706: Software Mining and Analysis (Offered in alternate Academic Year)
CS708: Mobile and Distributed Systems (Offered in alternate Academic Year)
CS711: Learning and Planning in Intelligent Systems
CS715: Systems Security (Offered in alternate Academic Year)

Electives:

CS204: Computer Networks
CS205: Operating System
CS301: Solutions Architecture
CS440: Foundations of Cybersecurity
CS441: Network Security
CS443: Software and Systems Security
CS460: Foundations of Cyber-Physical Systems
CS461: Mobile & Pervasive Computing and Applications
CS462: Internet of Things: Technology and Applications
CS612: AI System Evaluation
IS211: Interaction Design and Prototyping
IS442: Object Oriented Programming
IS447: Smart Healthcare in Asia
IS458: Cloud Management and Engineering
IS459: Big Data Architecture
SMT481: Smart-City Operations Research
CS701: Deep Learning and Vision
CS703: Optimization and Computing
CS704: Information Security
CS705: Algorithms and Optimization (Offered in alternate Academic Year)
CS707: Generative Models for NLP and Multimodal Reasoning
CS712: Machine Learning
IS713: Foundations for Data Analytics

Note: Students are not recommended to take both CS421 and CS712. Some courses may not be offered every Academic Year.