SMU BSc (Information Systems) & Master of IT in Business Fast Track
The School of Information Systems (SIS) Fast Track programme allows promising SIS undergraduates to pursue a Bachelor and Master degrees within a shorter period of time.
In addition to the Bachelor of Science (Information Systems), selected SIS undergraduates can obtain either the:
Master of IT in Business
In a competitive environment, marshalling Business Intelligence and Data Analytics on a real-time basis to make decisions, create value and develop a sustained competitive advantage is imperative. SMU MITB (Analytics) is Asia's first professional masters programme to meet this demand. Co-designed by leading global and regional sector firms from hospitality, tourism, supply chain, retail, healthcare, public sector and telecommunications, it promises a robust and systematic understanding across processes, operations, data, technology solutions and management supervision. It is aimed at professionals with a background in Computer Science, Information Systems, IT, Engineering or the Sciences.
Master of IT in Business
(Financial Technology & Analytics)
Technology is pushing the envelope for financial institutions on many fronts – for example, customer data, risk measures, capacity, market expectations and operational efficiency. Institutions that leverage on analytics to gain insights into their customers, operations and market opportunities can better position themselves for business continuity and success. However, transforming data into actionable insights requires knowledge in both the business and analytics domains. Analytics can be leveraged across all business lines in a financial institution. For example, customer attrition rates and rationale, cross-selling potential and values of transactions can be uncovered using analytics. In addition, analytics help combat fraud more efficiently while protecting customers. Today, risk management needs to be revitalised and optimisation is needed to drive profits.
The MITB (FTA) programme draws from both the Financial Technology Track and the Analytics Track to equip and empower graduates and professionals with analytics and financial technology skills necessary to change the world today and tomorrow.
Master of IT in Business
The rise of artificial intelligence (AI) is changing the face of business and radically transforming the way we live, work and communicate today. In recent years, businesses and governments have been increasingly harnessing AI capabilities to address major challenges affecting the society and industry. With the help of AI, complex and repetitive tasks can be accomplished with a higher degree of accuracy and at faster speed, boosting corporate profitability with increased productivity and operational efficiencies. AI is the future of growth - the accelerating development of AI and impending technological revolution are expected to impact all industries and companies in the near term.
First of its kind in Singapore and Southeast Asia, the new Artificial Intelligence Track is a direct response to these growing trends, to groom the next generation of AI talents with the ability to build AI tools, and implement adaptive closed loop solutions for a myriad of business problems.
First intake commencing August 2018.
We are committed to being the best in the world in preparing professionals to manage and integrate:
A SERIES - Financial Technology
|A.1||Digital Banking and Fintech|
|A.2||Retail Banking & Mobile Technology|
|A.3||Corporate Banking & Blockchain|
|A.4||Financial Markets Systems & Technology|
|A.6||Digital Payment & Innovations|
|A.11||Big Data Analytics in Financial Services|
B SERIES - Analytics Technology & Applications
|B.1||Analytics Framework & Business Context|
|B.2||Data Analytics Lab|
|B.3||Customer Analytics & Applications|
|B.4||Operations Analytics & Applications|
|B.5||Big Data: Tools and Techniques|
|B.6||Visual Analytics & Applications|
|B.7||Text Analytics & Applications|
|B.8||Social Analytics & Applications|
|B.10||Process Analytics using Simulation|
|B.14||Applied Statistical Analysis with R|
C SERIES - ARTIFICIAL INTELLIGENCE & APPLICATIONS
|C.1||Introduction to Artificial Intelligence|
|C.2||Applied Machine Learning|
|C.3||Algorithm Design & Implementation|
|C.4||Deep Learning for Visual Recognition|
|C.5||Smart Assistants for Natural Language Processing|
|C.6||AI Planning and Decision Making|
|C.8||AI Transitional Research Seminar|
D SERIES - IT & GENERAL MANAGEMENT FOR TECHnology & OPerations
|D.1B||Management Accounting for Technology & Operations Managers|
|D.2||Strategy and Organisation|
|D.3||Finance for Technology & Operations Managers|
|D.4||Cybersecurity Technology & Applications|
|D.5||Spreadsheet Modeling for Technology & Operations Decisions|
|D.6||IT Project & Vendor Management|
|D.7||Global Sourcing of Technology & Processes|
|D.8||IoT Technology & Applications|
E SERIES - Internship/Capstone Project - equivalent to 2 course units
Typically, students read 3-4 course units per term. Classes are conducted on weekday evenings and/or Saturdays. Successful applicant can typically begin their Master programme courses concurrently with their undergraduate courses in their 3rd or 4th year. Total Fast Track programme duration is expected to be 2 to 4 years.
Several exemptions and double-counting of courses are possible.
Exemption for the following course(s) may be possible subjected to the approval of the Programme Director and course instructor :
D.5 Spreadsheet Modeling for Technology & Operations Decisions
The exempted course must be replaced with another D series course.
Student must inform MITB office of his/her intention to double-count in advance before the first lesson of the double-counting course starts.
Should a student wish to withdraw a double-count request, they must inform MITB office in writing before the course Add/Drop (W grade) deadline.
- Double counting* of courses D.6 and D.7 as undergraduate IS Management Elective for up to 2 courses.
- Double counting* of course D.5 as Business Oriented course, IS102 Computer as an Analysis Tool
- The double-counted course and course grade will be printed on both MITB and BSc (IS) transcripts.
For every double-counted course done at MITB, the student will do one course less at undergrad level.
* Please note that grade and GPA of the double-counted course will count towards the undergraduate grade and GPA.
All outstanding SIS undergraduates will be invited to apply for this Fast Track programme. Selection is based on the first and second year undergraduate results.
For more information on the MITB programme, please visit http://sis.smu.edu.sg/master-it-business
Last updated on 26 Apr 2018 .