IS455 Overseas Project Experience (Data Analytics in Asia)

Dear Students

The School of Computing and Information Systems will be organizing an SMU-X overseas course to Bangkok, Thailand. 

This module will be conducted by Dr Fwa Hua Leong in Term 1 of Academic Year 2022/23.

This course is part of a 2-leg program – the first leg will be conducted in SMU where students will learn the concepts and techniques for the application of data analytics and machine learning, while the second leg will take place in Thailand where students will apply the acquired skills on a real project in a client organization. The exact dates for the Thai segment will be confirmed later but should start around beginning December for a period of 10 days.
 

The Course:

This course provides you with an overview of the many concepts, techniques and algorithms in data analytics and machine learning. You will acquire knowledge on classification and regression models such as support vector machines and linear regression e.t.c. The emphasis in this course will be on the application side of data analytics which includes not only creating the predictive model but also deploying and visualizing the output from the models.

More importantly, this course allows you to apply cross-disciplinary and project management approaches while learning and applying machine learning techniques to help the client Thai company to effectively and efficiently apply data analytics and machine learning to improve their competitiveness and business efficiency. It hones your problem-solving skills and prepares them for the complex regional business environment today.

Thailand, as part of ASEAN, is rich in natural resources eg. gems and precious metals and is considered to be one of the vital exporters of resources globally. Other than the 2 traditional sectors of agriculture and tourism, it is also a prime manufacturing hub for investors in vehicles, electronics and medical equipment. In recent years, Covid-19 has become a key accelerator for digital transformation globally and the Thai government has also been relentlessly encouraging its businesses to adopt digital technologies and the use of data analytics.

Requirements:
 

• For details on course attributes and other info, please refer to the Course Design Document here. 
• Students who want to enrol in this course should have completed IS217 Analytics Foundations/ MGMT108 Intro to Business Analytics.
• This course is open to year 2, 3 and final year SMU undergraduates.
• This course is graded and there will be some assessments that you need to undertake. You will have to follow the SMU course withdrawal policy once you have registered for the class. In the event that you withdraw from the course after you have been successfully enrolled in the class, you will have to bear the cost of all cancellation charges incurred.

Application Procedure:
 

Please indicate your interest by providing the relevant details at https://forms.gle/TLGbwkVm4CWNntGQ8 by 20 May 2022 before 5 pm. Please note that there will be a process of shortlisting and interview and successful applicants would be notified before mid July 2022.

*Subject to change.

Financial Assistance

Financial assistance schemes are available for successful applicants.
Please refer to the following link for more details about these schemes: https://admissions.smu.edu.sg/financial-matters/financial-aid
Successful applicants may also use their Post-Secondary Education Account (PSEA) for partial payment of the trip. 

Additional Information

The selection for this course and the selection for financial assistance are separate processes.  You will be notified of the outcome of both processes separately. 
You do not have to bid for this course as it will not be listed in BOSS. We will make separate arrangements with the Office of the Registrar to enrol all successful applicants. e$20 will be deducted from your E-Account.