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Overview, Curriculum & Scheduling

Master of Applied Information Systems

Evolve into an outstanding industry practitioner with our dynamic applied research

Master of Applied Information Systems (MAIS) 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, MAIS 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.

Two of the technology tracks have been renamed to Cybersecurity (former Information Security & Trust) and Software & Cyber-Physical Systems (former Software Systems). This change will apply to AY2016-17, Term 1, August 2016 intake onwards.

While working with our partner centers/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, centers 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 APPLIED INFORMATION SYSTEMS - TECHNOLOGY TRACKS OVERVIEW

We encourage individuals interested in technology related R&D to apply for a Technology Track in our Master of Applied Information Systems 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.

MASTER OF APPLIED INFORMATION SYSTEMS - SMU ENVIRONMENT

LIVELABS URBAN LIFESTYLE INNOVATION PLATFORM

A S$10 million effort funded by the Singapore government.

LIVING ANALYTICS RESEARCH CENTRE

A joint five-year collaboration between SMU and Carnegie Mellon University that is funded to the tune of S$25 million by the Singapore government.

TALKS

Free admission to the following talks.

  1. Living Analytics Research Centre (LARC) Workshop Series
  2. Living Analytics Research Centre (LARC) Research Seminar Series

CONFERENCES

Waiver of admission fees for the conferences organized by the Living Analytics Research Centre (LARC)

Recent LARC conferences include:

  1. The Third International Conference on Social Informatics (SocInfo'11) 6 - 8 October, 2011, Singapore
  2. 21st Workshop on Information Technologies and Systems (WITS'11) December 3-4, 2011, Shanghai, China
  3. 14th Annual International Conference on Electronic Commerce (ICEC'11) August 7-8, 2012, Singapore

CONSULTATION

Students will be able to consult with distinguished LARC visitors.

Below are some of the past visitors.

  1. J. Stephen DOWNIE
    Professor and Associate Dean for Research, University of Illinois
  2. David DE ROURE
    Professor of e-Research, University of Oxford
  3. Venkat PADMANABHAN
    Principal Researcher and Research Manager, Microsoft Research India
  4. Michael MACY
    Goldwin Smith Professor of Sociology and Director of The Social Dynamics Laboratory, Cornell University

PROGRAMME STRUCTURE

Master of Applied Information Systems (MAIS) programme has introduced 2 new Technology tracks beginning January 2014.

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

  • Cybersecurity
  • Data Management & Analytics
  • Software & Cyber-Physical Systems
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.

Cybersecurity (CYBSEC) Track

Term Core Courses Electives
1 IS710: Systems and Data Security (CYBSEC) IS403: Network Security
IS437: Software and Systems Security
IS712: Machine Learning
IS708: Mobile and Distributed Systems
2 IS702: Information Security IS436: Data Security and Privacy
IS709: Network Analysis and Mining
IS706: Software Mining and Analysis
IS703: Decision Analytics and Optimization

Data Management & Analytics (DMA) Track

Term Core Courses Electives
1 IS712: Machine Learning IS428: Visual Analytics for Business Intelligence
IS708: Mobile and Distributed Systems
IS710: Systems and Data Security
IS711: Learning and Planning in Intelligent Systems
2 IS709: Network Analysis and Mining IS415: Geospatial Analytics for Business Intelligence
IS417: Data Warehousing and Business Analytics
IS434: Social Analytics & Applications
IS702: Information Security
IS706: Software Mining and Analysis
IS703: Decision Analytics and Optimization

Software & Cyber-Physical Systems (SCPS) Track

Term Core Courses Electives
1 IS708: Mobile and Distributed Systems IS306: Interaction Design Prototyping
IS416: Mobile & Pervasive Technology
IS439: Internet of Things: Technology and Applications
IS712: Machine Learning
2 IS706: Software Mining and Analysis IS306: Interaction Design Prototyping
IS439: Internet of Things: Technology and Applications
IS709: Network Analysis and Mining
IS702: Information Security

Last updated on 05 Mar 2017 .