Master of IT
in Business
Leading Intelligent
Business Transformation
MASTERS
Jordan Lim
MITB (Financial Technology & Analytics)
Associate, Oliver Wyman
Graduation Class of 2020 SCHOOL OF
COMPUTING AND
INFORMATION SYSTEMS
Message from the Associate Dean
We will not rest on our laurels
and will continue to innovate based on
our fullest understanding of the types
of IT professionals that businesses in
various industries yearn for.
The School of Computing and Information Systems (SCIS) at SMU, (DT) equips graduates with the blend of ICT knowledge and skills
with our distinctive blend of practice, research and education, leads to strategise and execute digital transformation successfully for a
the way in the areas of Fintech, Analytics, Artificial Intelligence, and complex organisation in a rapidly changing environment.
Digital Transformation.
Apart from practical internships and capstone project opportunities
The launch of the Master of IT in Business (MITB) programme with with our industry partners, our state-of-the-art research labs
specialisation in Financial Services in August 2007 marked the constantly provide cutting-edge research topics for our curriculum,
birth of a unique programme. This programme focuses on training so that our students are not only trained for the present, but also
IT professionals in Financial Technology, Operations, Processes the future.
and Systems in different banking businesses. The recent growth
of interest in Fintech and Analytics reaffirms our belief that our We welcome you to join our MITB programme.
Financial Technology & Analytics (FTA) track will train talents to
bring the banking industry to new heights.
Our Analytics (AT) track launched in January 2011 is the first in Michelle Cheong Lee Fong
Asia. It develops a new breed of IT professionals with the skills and Professor of Information Systems (Education)
in-depth knowledge in data analytics for different industries. Associate Dean, SCIS Postgraduate Professional Education
Our Artificial Intelligence (AI) track goes even further, training Director, Doctor of Engineering
professionals who are able to build AI tools and implement algorithms School of Computing and Information Systems (SCIS)
to solve complex problems. Our new track in Digital Transformation Singapore Management University
SMU – Right in the Heart of Asia’s Hub, Singapore
In the dynamic, cosmopolitan hub that is Singapore, you will
find a vibrant city-state that pulses with the diversity of both East
and West. Situated at the cross-roads of the world, Singapore
is home to multinational companies and thousands of small
and medium-sized enterprises flourishing in a smart city
renowned for its business excellence and connectivity. With its
strong infrastructure, political stability and respect for intellectual
property rights, this City in a Garden offers you unique
opportunities to develop as a global citizen.
Tapping into the energy of the city is a university with a
difference – the Singapore Management University. Our six schools:
the School of Accountancy, Lee Kong Chian School of Business,
School of Economics, School of Computing and Information
Systems (SCIS), School of Law, and School of Social Sciences form
the country’s only city campus, perfectly sited to foster strategic
links with businesses and the community.
Modelled after the University of Pennsylvania’s Wharton School,
SMU generates leading-edge research with global impact and
produces broad-based, creative and entrepreneurial leaders for a
knowledge-based economy. Discover a multi-faceted lifestyle right
here at SMU, in the heart of Singapore.
The MITB Curriculum
The MITB curriculum has its courses classified into the following series:
• Digital Banking & Trends • Data Science in Financial Services* • Corporate Banking & Blockchain*
FINANCIAL • Digital Transformation in • Financial Markets Systems • Digital Payments & Innovations
TECHNOLOGY Retail Banking Technology & Technology
(FINTECH)
• Fintech Innovations & Startups* • Quantum Computing in Financial Services* • RiskTech & RegTech
• Data Management • Data Analytics Lab • Applied Statistical Analysis with R
ANALYTICS • Python Programming & Data Analysis • Customer Analytics & Applications* • Operations Analytics & Applications
TECHNOLOGY &
APPLICATIONS
• Big Data: Tools & Techniques • Visual Analytics & Applications • Text Analytics & Applications
(ANALYTICS) • Social Analytics & Applications • Process Analytics Using Simulation • Applied Machine Learning*
• Data Science for Business*
• Introduction to Artificial Intelligence* • Algorithm Design & Implementation • Applied Machine Learning*
ARTIFICIAL • Deep Learning for Visual Recognition*† • Natural Language Processing • AI Planning & Decision Making*†
INTELLIGENCE & for Smart Assistants*
APPLICATIONS (AI)
• Multi-Agent Systems*† • Recommender Systems* • AI Translational Research
Seminar§ (Without Credit)
• Digital Transformation Strategy (SMU-X) • Digital Organisation & Change Management • Agile & DevSecOps
10
0101
DIGITAL
101010
0101
TRANSFORMATION • (digital) Product Management • Experimental Learning & Design Thinking • Digital Governance & Risk Management
10 (DT)
• Digital Enterprise Architecture
INFORMATION • Cybersecurity Technology & Applications • Spreadsheet Modelling for • IT Project & Vendor Management
TECHNOLOGY Decision Making
MANAGEMENT
(TECH) • Global Sourcing of Technology & Processes • IoT: Technology & Applications • Business Applications of Digital Technology
PRACTICUM • Internship (2 CUs) • Capstone Project (2 CUs)
* A compulsory pre-requisite course is required.
† These courses cannot be taken in students’ first term of study. As a result, some full-time students may need to extend to their fourth term of study in order to read these courses. Only students with special exemptions can be allowed to
read these courses in their first term of study.
§ TheAI Translational Research Seminar is a graduation requirement (without credit) for AI track students.
Course modules listed are subject to change.
Graduation Requirements
Students must complete and pass a total of 15 Course Units (CUs) with a minimum cumulative Grade Point Average (GPA) of 2.5 to graduate with the MITB degree.
FINANCIAL TECHNOLOGY &
ANALYTICS (AT) ARTIFICIAL INTELLIGENCE (AI) DIGITAL TRANSFORMATION (DT)
ANALYTICS (FTA)
PROFESSIONAL
DEVELOPMENT 4 Workshop Topics During Candidature Period
(1 CU)
PROGRAMME CORE Spreadsheet Modelling for Decision Making
(1 CU)
• Digital Banking & Trends • Data Analytics Lab • Algorithm Design & Implementation • Digital Transformation Strategy
(SMU-X)
• Fintech Innovations & Startups* • Python Programming & Data Analysis • Introduction to Artificial Intelligence* • Digital Organisation & Change
TRACK CORE Management
(4 CUs) • Data Science in Financial Services* • Applied Statistical Analysis with R • Applied Machine Learning* • Agile & DevSecOps
• Python Programming & Data Analysis • Data Science for Business* • Choose either: • (digital) Product Management
AI Planning & Decision Making*†
or Multi-Agent Systems*†
• 2 CUs from FINTECH series • 3 CUs from ANALYTICS series • 1 CU from ANALYTICS series • 2 CUs from DT series
• 2 CUs from ANALYTICS series • 1 CU from TECH series • 2 CUs from AI series • 1 CU from TECH series
TRACK ELECTIVES • 1 CU from TECH series • 1 CU from any series in the MITB • 1 CU from TECH series • 2 CUs from any series in the MITB
(5 CUs) curriculum curriculum
• Choose either:
Big Data: Tools & Techniques
or Data Management
Choose any 4 CUs from the following^:
OPEN ELECTIVES • Internship or Capstone Project (2 CUs)
(4 CUs) • Courses from any series in the MITB curriculum
• Courses from other SMU Masters programmes (up to 2 CUs)
^ Students are strongly encouraged to take up an immersive component (such as an Internship, Capstone Project or SMU-X course) during their study at MITB.
Admissions Criteria
General Requirements Digital Transformation Track
• A valid GMAT/GRE score. • Minimum 3 years of relevant work experience either in a business function or
(SMU’s GMAT Code: F8D-Z4-61 & GRE Code: 2861) technology role.
• Bachelor’s/Master’s/PhD Degree graduates from the six local universities [SMU, Analytics Track/Artificial Intelligence Track/Financial Technology & Analytics Track
SUTD, NUS, NTU, SUSS (including UniSIM), SIT] may take the SMU Admission
• Preferably 2 years of IT and/or operations related work experience in any
Test in place of GMAT/GRE.
industry; Analytical and Mathematically inclined.
• IELTS/UKVI (Academic)/TOEFL is required for applicants whose
Bachelor’s/Master’s/PhD Degree programme was not taught in English. Artificial Intelligence Track
• Coding artefacts completed by the applicant must be submitted together with
• Applicants from all degrees are encouraged to apply, while degrees from
the application.
Computing, Engineering, Mathematics and related technical fields are preferred.
Application Details Programme Fees
There are two intakes each year, in August and January. The current fees for the programme are:
Application Period Intake Fees Amount
January to May August Application S$100 (inclusive of GST)
June to October January the following year Singapore Citizens & Permanent Residents S$400
Registration (inclusive of GST)
To apply, please submit an online application at www.smu.edu.sg/mitb
Foreigners S$500 (inclusive of GST)
Scholarships and Financial Assistance Please refer to the programme website for the prevailing
Tuition* tuition fees.
We have a variety of scholarships and awards which cater to different tracks of https://smu.sg/mitbfees
the MITB programme.
* Tuition fees are locked in once the student enters the programme. SMU reserves the right
For more information, please visit: to alter tuition fees for new incoming cohorts when required.
https://smu.sg/mitbscholarships
The SMU Masters Advantage
GLOBAL RECOGNITION
SMU is globally recognised as one of the best specialised universities in Asia and the world. Its research rankings, programme rankings,
accreditations and professional recognition are testament to its achievements and standing.
INTERACTIVE PEDAGOGY
SMU’s interactive, seminar-style pedagogy brings you stimulating, multidisciplinary learning under the mentorship
of the thought leaders and subject experts who make up our faculty. You will hone your analytical skills, teamwork and
communication skills.
INNOVATIVE CURRICULUM
Stay relevant with courses that combine cutting-edge research and up-to-date knowledge with best business practices.
SMU’s Postgraduate Professional Development course and award-winning Asian case studies help you approach topics from different
practical perspectives for greater insights.
NETWORKING AND CAREER OPPORTUNITIES
SMU has a diverse student population from many different countries, bringing equally diverse personal and professional
experience into your network. Take advantage of comprehensive guidance from our dedicated career services to aid your career transition
or advancement.
CITY CAMPUS
SMU is nestled within the arts and heritage precinct, right next to the Central Business District, with unrivalled
connectivity for public transport and multiple amenities around campus. Discover how life beyond the classroom is as enriching as within.
What Makes SMU MITB Special?
MITB combines discipline-specific, advanced technical coursework with
Jeremy Chia easily transferrable skills like critical thinking, analytic ability, and strategic planning
MITB (Financial Technology & Analytics) to give me the competitive advantage that I believe exists at the convergence of
Class of 2020
Doctor of Philosophy (Information
knowledge in the areas of data analytics, technology, and business.
Systems & Management) Candidate
Singapore Management University
My learning experience with the SMU MITB programme has been amazing.
I have learnt many analytics tools and techniques that would prepare me for a career Mai Thi Hoai Thu
MITB (Analytics) Student
in data science. The MITB curriculum is well-designed and gives students flexibility in Vingroup Young Talent
choosing different courses from different tracks depending on their business domains Scholarship Recipient (AY2020)
and interests.
The MITB Programme
The definitive Master of IT in Business (MITB)
programme will give you an unparalleled Up-to-Date Curriculum Immersion
edge with the knowledge of data, processes,
technologies and management strategies. Constant revision and addition of Students can apply and integrate what
With four unique specialisation tracks to new course units into the curriculum they have learnt and gain real-world
choose from, you will be poised to lead the keeps us in sync with market trends, working experience through immersive
industry in a time of transformation. technology and practices. components such as Internship,
Capstone Project or SMU-X courses
during their study at MITB.
MITB
Financial Digital Industry Partners World-Class Faculty
Technology & Transformation
Analytics Strong industry partners provide Programmes are delivered by well-
feedback on our curriculum, besides qualified and experienced faculty
offering our students networking and members from diverse industries who
Analytics Artificial internship opportunities and industry- provide real-world scenario learning.
Intelligence
related seminars.
Students’ Academic Background
Computing/ Business/ Science Arts &
Engineering Finance Social Sciences
44% 38 % 12% 6%
Class profile data: Based on MITB 2020 cohort, i.e. January 2020 & August 2020 intakes.
Graduates’ Employability and Class Profile
~90% Typical Age
Range
Average
GMAT
International
Students
Typical Years
of Work Experience
Student
Nationalities
21-37 4 yrs 14
employed within
6 months upon
graduation*
660 48%
*Graduates’ employability data is based on survey conducted for MITB students who filed for graduation in 2019.
Class profile data: Based on MITB 2020 cohort, i.e. January 2020 & August 2020 intakes.
TOP 40
MASTERS IN
BUSINESS ANALYTICS
2021
Singapore Management University
School of Computing and Information Systems
80 Stamford Road, Singapore 178902
smu.edu.sg/mitb mitb@smu.edu.sg (65) 6828 0921 / 0878 /mitbsmu /showcase/smumitb
For a full listing of SMU Masters programmes, visit smu.edu.sg/masters
Updated in March 2021
