IS491

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Analytics and Cloud Technology Work-Study Elective

Course (UG/PG)

Undergraduate

Offering Unit/Department

Course Description

The Analytics and Cloud Technology Work-Study Elective is a six-month internship attachment program under the Google-SMU-KPMG Analytics and Cloud Technology Work-Study Program. During the vacation period, students work five days a week at KPMG. While undertaking the work-study elective, students may also enrol in 1-2 CUs of courses at SMU during the same term and are allowed to be back in campus up to one day each week. Students will be assigned to a SMU Faculty Advisor and an Internship Supervisor (from KPMG). This elective provides students with an opportunity to do an extended internship with KPMG and applies the data analytics or IT automation skillsets that they learnt to contribute to the analytics or cloud technology sector respectively in Singapore.

NOTE!
- This course is only open to students accepted into the SMU-KPMG Analytics and Cloud Technology Work Study Program in partnership with Google and enrollment will be done offline with e$20 deduction.
- For students from 2019 intake and later, please ensure that you have submitted the Internship in OnTrac so that you will be granted the 1 CU Internship requirement after you have successfully completed the WSE internship. For assistance, you may contact your Career Coach from DKHMCC.
- This is a Pass/Fail course and if F grade is awarded, it will be counted towards your GPA.

Course Learning Outcomes

1) Explain the key business areas and how data analytics or IT automation has impacted the business of the internship company

2) Acquire domain-related and industry-relevant knowledge

3) Analyse industry specific problems with understanding of industry constraints and context

4) Identify business objectives, KPIs and performance targets/goals of the required tasks

5) Apply and practise the best practices learnt

6) Propose practical solutions to task assigned

7) Work with others towards accomplishment of common goals

8) Present the result (or a case study of selected aspects of work done) and/or implemented solution

9) Write the work-study elective report to document the tasks completed during the internship, reflection of the work-study process, lessons learned and possible areas of improvement

Discipline-Specific Competencies

Data Analytics, Applications Integration, Cloud Computing, Data Engineering, Audit and Compliance

SMU Graduate Learning Outcomes

Disciplinary Knowledge, Multidisciplinary Knowledge, Interdisciplinary Knowledge, Critical thinking & problem solving, Innovation and enterprising skills, Collaboration and leadership, Communication, Intercultural understanding and sensitivity, Understanding of global and Asian perspectives, Self-directed learning

Grading Basis

PNP - Pass/Fail