The School of Computing and Information Systems (SCIS) at the Singapore Management University (SMU) is collaborating with Faculty of Engineering and Information Technology at the University of Melbourne (UoM) to offer students that have graduated from SMU’s Master of IT in Business (MITB) the opportunity to receive up to 100 points or 1 year of credit waiver into UoM’s Master of Information Systems (MIS) or Master of Information Technology (MIT) programme. With this credit recognition, students can begin their studies at UoM potentially from the 2nd year of either programme.



SMU Master of IT in Business (MITB) into Melbourne Master of Information Systems (MIS)

The UoM MIS programme is open to applications from students who have graduated from the MITB programme in or after 2022 and are within ten years of completing their studies.

MITB subjects matched to MIS subjects

The curriculum information listed below applies to the following SMU MITB track options:

  1. Digital Transformation (DT) Track;
  2. Analytics (AT); and
  3. Artificial Intelligence (AI) Track (eligible for 50 credit points credit)#

#Further credit may be granted upon application and reviewed by the academic course coordinator.
SMU MITB Subjects Melbourne MIS Subject Match
IS622: (digital) Product Management
OR
IS624: Experimental Learning and Design Thinking
OR
IS619: Business Applications of Digital Technology
ISYS90049 Digital Business Analysis*
IS620: Digital Organisation & Change Management
OR
IS603: IT Project & Vendor Management
ISYS90050: IT Project and Change Management*
IS615: Digital Transformation Strategy
OR
IS623: Digital Governance & Risk Management
ISYS90038: IS Strategy and Governance*
ISSS615: Data Management INFO90002: Database Systems & Information Modelling*
ISSS606: Social Analytics & Applications
OR
ISSS609: Text Analytics and Applications
OR
ISSS622: Python Programming and Data Analysis
OR
IS628: Computational Thinking with Python
OR
CS610/ISSS610: Applied Machine Learning
OR
CS601: Introduction to Artificial Intelligence
OR
CS601: Artificial Intelligence and Uncertainty Reasoning
OR
CS602: Algorithm Design & Implementation
COMP90059: Introduction to Programming*
IS625: Digital Enterprise Architecture ISYS90043: Enterprise Applications & Architectures*
IS613: Cybersecurity Technology & Applications ISYS90090: Cyber Security Management*
Open Elective Elective

Note: Students who complete the subjects as mapped above will receive 8 subjects worth of credit (100 points) into the MIS Degree.
*Subjects required for ACS accreditation.
&25 credit point IS Capstone.

February Intake

February Semester July Semester
ISYS90026 Concepts in Information Systems* ISYS90118 Skills for IS Research and Development*
ISYS90045 Professional IS Consulting* Elective
Elective IS Capstone&
Elective

Mid-year Intake

July Semester February Semester
ISYS90118 Skills for IS Research and Development* ISYS90026 Concepts in Information Systems*
ISYS90045 Professional IS Consulting* Elective
Elective IS Capstone&
Elective

Note:Core subjects are in bold
* Subjects required for ACS accreditation
&25 credit point IS Capstone

SMU Master of IT in Business (MITB) into Melbourne Master of Information Technology (MIT)

The UoM MIT programme is open to applications from students who have graduated from the MITB programme in or after 2020 and are within ten years of completing their studies.

MITB subjects matched to MIT subjects

The combination of MITB tracks with MIT specialisations creates multiple pathway options which are displayed in separate subject mapping charts and related sample course plans. This is only applicable for MITB Analytics (AT) and Artificial Intelligence (AI) tracks^.
^MITB graduates from other tracks will considered for the MIT programme on a case by case basis.

SMU MITB Subject Melbourne MIT Subject Match
CS602: Algorithm Design & Implementation (AI series) Algorithms and Complexity (COMP90038) *
ISSS625: Query Processing and Optimisation (ANALYTICS/AI series)
or
ISSS615: Data Management (AT series)
Database Systems & Information Modelling (INFO90002) *
ISSS622: Python Programming and Data Analysis (AT series)
or
IS628: Computational Thinking with Python (TECH series)
Programming and Software Development (COMP90041) *
CS610/ISSS610: Applied Machine Learning (AT/AI series) Introduction to Machine Learning (COMP90049)
IS613: Cybersecurity Technology & Applications (TECH series) Cryptography and Security (COMP90043)
CS606: AI Planning and Decision Making (AI series) AI Planning for Autonomy (COMP90054)
(AI Track students only) CS604: Deep Learning for Visual Recognition Specialisation Subject
(AI Track students only) CS605: Natural Language Processing for Smart Assistants Specialisation Subject
(AT Track students only) Open Elective 1 Specialisation Subject
(AT Track students only) Open Elective 2 Specialisation Subject

Note: Students who complete the subjects as mapped above will receive 8 subjects worth of credit (100 points) into the MIT Degree
* Subjects required for ACS accreditation

The MIT programme offers a total of 5 specialisations;

  1. MIT Computing Specialisation;
  2. MIT Distributed Computing Specialisation;
  3. MIT Artificial Intelligence (AI) Specialisation;
  4. MIT Cyber Security Specialisation;
  5. MIT Human-Computer Interaction (HCI) Specialisation;

February Intake

February Semester July Semester
COMP90015: Distributed Systems COMP90007: Internet Technologies
SWEN90016: Software Processes and Management Computing Elective Subject
Computing Elective Subject IS Capstone&
Computing Elective Subject

Mid-year Intake

July Semester February Semester
COMP90007: Internet Technologies SWEN90016: Software Processes and Management
COMP90015: Distributed Systems Computing Elective Subject
Computing Elective Subject IS Capstone&
Computing Elective Subject

&25 credit point IS Capstone

February Intake

February Semester July Semester
COMP90015: Distributed Systems COMP90007: Internet Technologies
SWEN90016: Software Processes and Management COMP90025: Parallel and Multicore Computing
COMP90048: Declarative Programming IS Capstone&
Advanced Specialisation Subject

Mid-year Intake

July Semester February Semester
COMP90007: Internet Technologies SWEN90016: Software Processes and Management
COMP90015: Distributed Systems COMP90048: Declarative Programming
COMP90025: Parallel and Multicore Computing IS Capstone&
Advanced Specialisation Subject

&25 credit point IS Capstone

Artificial Intelligence Track students

February Intake

February Semester July Semester
COMP90007: Internet Technologies Elective
SWEN90016: Software Processes and Management COMP30226: Models of Computation
Elective IS Capstone&
Elective

Mid-year Intake

July Semester February Semester
COMP90007: Internet Technologies SWEN90016: Software Processes and Management
Elective Elective
Elective IS Capstone&
COMP30226: Models of Computation

Analytics Track students

February Intake

February Semester July Semester
COMP90007: Internet Technologies COMP90083: Computational Modelling & Simulation
SWEN90016: Software Processes and Management COMP30226: Models of Computation
COMP90051: Statistical Machine Learning IS Capstone&
COMP90042: Natural Language Processing#

Mid-year Intake

July Semester February Semester
COMP90007: Internet Technologies SWEN90016: Software Processes and Management
COMP90083: Computational Modelling & Simulation COMP90042: Natural Language Processing#
COMP90051: Statistical Machine Learning IS Capstone&
COMP30226: Models of Computation

&25 credit point IS Capstone
# MITB AT students who have completed CS605: Natural Language Processing for Smart Assistance can replace this with another MIT AI Specialisation elective.

Artificial Intelligence Track students

February Intake

February Semester July Semester
COMP90015: Distributed Systems COMP90074: Web Security
SWEN90016: Software Processes and Management COMP90073: Security Analytics
COMP90007: Internet Technologies IS Capstone&
SWEN90010: High Integrity Systems Engineering

Mid-year Intake

July Semester February Semester
COMP90007: Internet Technologies SWEN90016: Software Processes and Management
COMP90015: Distributed Systems SWEN90010: High Integrity Systems Engineering
COMP90073: Security Analytics IS Capstone&
Elective

Analytics Track students

February Intake

February Semester July Semester
COMP90015: Distributed Systems COMP90074: Web Security
SWEN90016: Software Processes and Management COMP90073: Security Analytics*
COMP90007: Internet Technologies IS Capstone&
SWEN90010: High Integrity Systems Engineering

Mid-year Intake

July Semester February Semester
COMP90007: Internet Technologies SWEN90016: Software Processes and Management
COMP90015: Distributed Systems SWEN90010: High Integrity Systems Engineering
COMP90073: Security Analytics IS Capstone&
COMP90074: Web Security

&25 credit point IS Capstone
# MITB AT students who have completed CS605: Natural Language Processing for Smart Assistance can replace this with another MIT AI Specialisation elective.

The MIT HCI Specialisation is only eligible for 50 points credit exemption.

February Intake

July Semester February Semester July Semester (Next year)
COMP90007: Internet Technologies INFO90006: Fieldwork for Design Specialisation Selective
INFO90004: Evaluating the User Experience SWEN90016: Software Processes and Management Elective
INFO90003: Designing Novel Interactions Specialisation Selective Research Project
Elective Specialisation Selective

Mid-year Intake

July Semester February Semester July Semester (Next year)
COMP90007: Internet Technologies INFO90004: Evaluating the User Experience Specialisation Selective
INFO90006: Fieldwork for Design SWEN90016: Software Processes and Management Elective
INFO90003: Designing Novel Interactions Specialisation Selective Research Project
Elective Specialisation Selective

Further credit may be granted upon application and reviewed by the respective academic course coordinator.

For enquiries and application,

Contact details at SMU:
Dr Yeo Lip Pin
Associate Director, SCIS Postgraduate Professional Programmes
Email:lpyeo@smu.edu.sg
Address for Enquiries: School of Computing and Information Systems 2, Level 4 Graduate Programme Office, 90 Stamford Road, Singapore 178903

Contact details at UOM:
Fabienne Brown
Recruitment Coordinator, Future Students Team
Telephone number: +61 3 90359756
Email: fabienne.brown@unimelb.edu.au
To apply for the Master of Information Systems at UoM, follow the steps in the Application Process here.
University of Melbourne CRICOS provider code: 00116K