The MSc in Information Systems (MSIS) programme blends theory and practice to equip students with cutting-edge knowledge necessary for the design, development, maintenance, and management of information systems to provide better user experience.
The programme curriculum covers wide-ranging technical expertise and soft skills that an Information Systems professional is expected to possess in the areas such as:
- Broad-based perspective of information systems education from experienced, multi-disciplinary faculty and industrial practitioners
- Offers a strong emphasis in users and management through theory and practice-based experiential learning
- Provides a solid foundation for mid-career professionals wanting to establish themselves in the industry
- A Bachelor's degree in areas such as Computer Science, Information Systems, Information Technology, or
- A Bachelor's degree with a strong information technology-related component such as those in Engineering or the Sciences, or
- A Bachelor’s degree plus relevant working experience
- Degree classification second class lower/Honours (Merit) and above or equivalent
*: Internships are not counted towards working experience, and it is recommended for applicants to have at least a minimum of one-year of full-time working experience in relevant fields.
For undergraduate degree not awarded by an English-medium University or is awarded by an English-medium University but the language of instruction was not English, you must meet the English Language Proficiency Requirement (ELPR).
Minimum Score Required | |
Test of English as a Foreign Language (TOEFL) | International English Language Testing System (IELTS), Academic |
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Note: The validity period for IELTS/TOEFL scores is two (2) years at the point of application. It is recommended the IELTS sub-scores should not be less than 6.0. Please note that only TOEFL or IELTS test scores will be accepted. Also, we do not require the submission of GRE or GMAT test scores.
In view of Covid-19, the following online test scores are acceptable for admissions for the AY2023-2024 intake by the Office of Admissions (OA).
- TOEFL iBT Special Home Edition
- TOEFL ITP Plus for China students
- IELTS Indicator
- IELTS for UKVI
There is only one intake in August. Applications for August admission will be open in November and close in end January. The outcome of application will be released from end May-June onwards via online.
Programme | Admission Intake | Closing date for submission of online applications with supporting documents |
M.Sc.(Information Systems) [Programme Code: 143] | August | Application Period: 1 November to 31 January |
Applications are to be submitted electronically via the NTU admissions website. Applicants are required to pay a non-refundable application fee of S$21.60 when you send in your admission application per programme applied. Applications without application fee will not be processed.
Applicants may check their application or result status online after receiving the acknowledgement receipt of your application via email.
For more information on the admissions procedures, online application, list of supporting documents application or result status and other relevant details, please click here to view the NTU admissions website.
The programme commences each year in early August and is available in both full-time and part-time. Students are required to complete 30 Academic Units (AU) within their candidature period to be awarded the degree.
Students have two option of study:
- Coursework and Dissertation
In this option, students take 8 elective courses and an individual project on which the student must submit a dissertation. To pursue dissertation, students require a cumulative grade point average (CGPA) of 4.00 and above. Students may require additional semesters for completion of their project.
For more information on Dissertation, please click here.
Coursework Only
In this option, students take 9 electives courses and Critical Inquiry (group project).For more information on Critical Inquiry, please click here.
Each course carries 3 Academic Units (AU) while Dissertation carries 6 AUs. Students may graduate after completing the programme requirement from either option of study.
Candidature
Candidates may apply either for full-time or part-time programme. To be awarded the degree, students will need to complete their programme requirement within their candidature period. A minimum Cumulative Grade Point Average of 2.50 is required to successfully complete the programme.
Full-Time Candidature | Part-Time Candidature | ||
Minimum | Maximum | Minimum | Maximum |
2 semesters | 4 semesters | 4 semesters | 8 semesters |
(Note: 1 academic year is equivalent to 2 semesters.) |
For more information on Grade Point Average (GPA), please click here.
Not all courses listed in the curriculum will be offered in a semester. Courses offered are subjected to availability of instructors and resources.
The following courses cover a variety of areas in the field of information systems and range from technology-oriented to management-oriented ones. MSIS students select them based on their individual learning goals and career objectives.
This course will look at relational database models, database design, and data modelling as an introduction to database systems. Students will learn to manage database environments, database administration, transaction processing, client-server processing, and security, amongst other procedures.
IN6206 Internet Programming
In this course, fundamentals of Artificial Intelligence and machine learning algorithms will be covered. Topics in this course also include contemporary Artificial Intelligence algorithms like the popular Deep Learning. The key emphasis of this course is the application of such algorithms, hence there will be extensive coverage into how a combination of algorithms can be applied to address problems that cannot be easily solved through conventional coding approaches. There will be extensive hands on course work into the development and application of such algorithms. This will be done through laboratory sessions and sizeable project development.
IN6236 Blockchain System Software Engineering
This course equips students with knowledge and skills to build blockchain-based software systems that are able to co-exist with legacy enterprise systems. The knowledge blends concepts and principles of blockchain and software engineering. The course covers how one addresses the challenges of building a blockchain-based system inclusive of smart contracts from a software lifecycle perspective; and the knowledge skills to address these challenges.
At the end of this course students will:
- Understand the building blocks of blockchain and what makes blockchain secure and trustworthy.
- Understand smart contracts and be able to program smart contracts.
- Understand blockchain system design principles.
- Understand how to approach the incorporation of blockchain into enterprise systems from a software engineering lifecycle framework.
- Understand the legal and ethical implications of blockchain-based systems.
Research Project
IS6751 Text & Web Mining
Entrepreneurship theory; the entrepreneurial process; Developing successful business ideas, identifying markets and sources of revenue, industry and competitor analysis, and understanding the value chain; Developing an effective business model, creating a venture team, and marketing, sales and financial plans; Developing an efficient operations model, getting financing and funding, and strategies for growth; Managing partners and investors, staff and suppliers, and customers.
CI7104 Network Analysis: Theory and Methods
This course introduces the core concepts of network theory and methods and discusses theoretical and analytic issues associated with network analysis. It consists of three major parts: the theoretical foundations of network analysis, the review of seminal and recent works on social and communication networks, and applications of network theory to real-world problems. The course focuses on (but not limited to) the following topics: homophily and community structure, tie strength and structural holes, diffusion and network effects, small-world phenomena, random graph model, large-scale empirical networks, and computational approaches to network analysis. Students will learn and use programming languages for data collection and analysis. All the programming skills necessary for the course will be taught in a step-by-step manner. Prior knowledge of linear algebra and calculus will be helpful, but is not required.
CI7107 Advanced Quantitative Analysis for Communication and Information Research
This course introduces students to structural equation modeling. After reviewing fundamental statistical analyses, students will learn the process of conducting structural equation modelling.
The course content is divided into three thematic groups:
- Theme 1 – Analytical and statistical fundamentals: This theme involves class discussions, activities, and assignments about several common statistical analyses.
- Theme 2 – Conducting structural equation modeling: This theme introduces key concepts and the process of conducting structural equation modeling.
- Theme 3 – Special topics: This theme focuses on special uses of structural equation modeling, which researchers can use to answer many different research questions.
Academic Integrity
Wee Kim School of Communication and Information is committed to pursue research excellence and ensures the highest standards of integrity and ethical behaviour in all academic and research endeavours. It is fundamental that assignments, projects and proposals for coursework and research programmes submitted by students are of the highest integrity, and plagiarism will not be condoned.
Students are expected to observe academic integrity when writing and submitting assignments, projects or proposals for their coursework or research programmes, and provide references when citations are mentioned in their works.
For more information on NTU Academic Integrity Policy, please click here.
In view of the University’s implementation of the academic integrity policy and code of conduct, publications of research done at NTU, including written assignments, theses and dissertations, must adhere to responsible reporting practices. For more information, please refer to the Research Integrity website.
Course Fees
The substantial tuition subsidy from the Government of Singapore comes in the form of a MOE subsidy which is administered by the Ministry of Education (MOE) and is offered to eligible students up to the normal course duration (one year for full-time students and two years for part-time students). Students who take longer than the normal course duration will be liable for non-subsidised (Full) tuition fees during the extended semesters. Students need not apply for the MOE subsidy if they are eligible.
Note: From AY 2019 onwards, MOE subsidy only applies to Singaporean and Singapore Permanent Resident (SPR) students. International students applying for Coursework Programmes will be liable for non-subsidised tuition fees.
Tuition Fees for Academic Year 2022-2023
Tuition Fees per Academic Year (AY2022-2023) | ||||
---|---|---|---|---|
MSc in Information Systems (MSIS) Programme Status | Non-Subsidised Fees (inclusive of GST) | Singapore Citizen | Singapore Permanent Resident | |
S$ | S$ | S$ | S$ | S$ |
Sem 1 | Sem 2 | |||
Full-time | 19,765 | 19,950 | 9,750 | 16,100 |
Part-time | 9,890 | 9,975 | 4,875 | 8,050 |
Notes on tuition fees
• All fees stated are Singapore Dollars and are inclusive of GST charges.
• The programme fees are reviewed annually and may be revised. The University reserves the right to adjust the programme fees without prior notice. Please click here to view the tuition fee structure.
Tuition Fees for Academic Year 2021-2022
Tuition Fees per Academic Year (AY2021-2022) | |||
---|---|---|---|
MSc in Information Systems (MSIS) Programme Status | Non-Subsidised Fees (inclusive of GST) | Singapore Citizen | Singapore Permanent Resident |
S$ | S$ | S$ | |
Full-time | 38,300 | 9,450 | 15,600 |
Part-time | 19,150 | 4,725 | 7,800 |
• The programme fees are reviewed annually and may be revised. The University reserves the right to adjust the programme fees without prior notice. Please click here to view the tuition fee structure.
Graduation Requirements