Course Code: BUS352

Synopsis

Improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. BUS352 Operations Analytics focuses on the use of analytics, together with data, to analyse and solve operational problems in various business settings, and transform data into information to support decision making. In BUS352 Operations Analytics, students will gain a better understanding of the classic operations problems with data support, as well as learn to describe and present operational data in a meaningful and informative way. Students will also be exposed to analytics techniques and learn how to apply them to construct quantitative models, e.g., forecasting, optimisation and simulation models, to solve operational problems. Students will learn how to choose the best course of action in the face of uncertainty.
Level: 3
Credit Units: 5
Presentation Pattern: EVERY JAN

Topics

  • Introduction to operations management
  • Data-driven operations
  • Inventory management
  • Descriptive and diagnostic analytics in addressing operational problems
  • Quality management
  • Predictive analytics in addressing operational problems
  • Aggregate planning
  • Prescriptive analytics in addressing operational problems
  • Service operations
  • Decision analysis under uncertainty
  • Efficiency vs effectiveness in operations
  • Emerging topics in operations

Learning Outcome

  • Appraise the role of operations in an organisation.
  • Discuss the trade-off between efficiency and effectiveness in addressing operational problems.
  • Evaluate complex operational decisions with different degrees of uncertainty.
  • Assess operational problems with supporting data.
  • Distinguish between descriptive, diagnostic, predicative and prescriptive analytics.
  • Select appropriate analytics techniques to analyse and solve problems in operations.
  • Examine, visualise and interpret operational data.
  • Apply the essential knowledge and interpersonal skills to work effectively in a team.

Who Should Attend

This course is for executive roles requiring business knowledge. It is also suitable for professionals who are interested to apply forecasting, optimisation, and simulation models to solve operational problems.


Relevance of Course to employment/upskilling/reskilling

This course equips learners with understanding and knowledge on quantitative methods. Learners will acquire the knowledge and skills to present operational data in a meaningful and informative way and solve operational problems in various business contexts.


Schedule

SeminarTimeAgenda
Seminar 1
19:00 – 19:15
Introduction and course expectations
19:15 – 20:30Topic 1
20:30 - 20:40Break
20:40 – 21:50Topic 2
21:50 – 22:00Summary of Seminar 1
Seminar 2
19:00 – 19:15
Recap of Seminar 1
19:15 – 20:30Topic 3
20:30 - 20:40Break
20:40 – 21:50Topic 4
21:50 – 22:00Summary of Seminar 2
Seminar 3
19:00 – 19:15
Recap of Seminar 2
19:15 – 20:30Topic 5
20:30 - 20:40Break
20:40 – 21:50Topic 6
21:50 – 22:00Summary of Seminar 3
Seminar 4
19:00 – 19:15
Recap of Seminar 3
19:15 – 20:30Topic 7
20:30 - 20:40Break
20:40 – 21:50Topic 8
21:50 – 22:00Summary of Seminar 4
Seminar 5
19:00 – 19:15
Recap of Seminar 4
19:15 – 20:30Topic 9
20:30 - 20:40Break
20:40 – 21:50Topic 10
21:50 – 22:00Summary of Seminar 5
Seminar 6
19:00 – 19:15
Recap of Seminar 5
19:15 – 20:30Topic 11
20:30 - 20:40Break
20:40 – 21:50Topic 12
21:50 – 22:00Summary of Seminar 6
SUSS reserves the right to change the course dates, topics, schedule, and trainers.

Assessments

Assignments, Online Test, Others, Written Exam


Requirements

  • Applicants should hold a diploma or an equivalent qualification from a recognised institution.

About the Trainers

Dr Clarence Ng completed his doctoral studies at the University of South Australia in 2010, specialising in technology acceptance and consumer behaviour. He also holds a Master of Business Administration from the University of Adelaide.

He brings over 20 years of experience in higher education, having taught at institutions such as the Nanyang Technological University and the Singapore Institute of Management. Dr Ng is accredited by the Institute for Adult Learning as a Senior Professional Adult Educator.

Dr Ng joined the Singapore University of Social Sciences in 2011 as an Associate Faculty member. He currently serves as Course Leader for Operations Analytics and Project Management, and has previously led courses in Business Excellence and Total Quality Management.

Prior to entering academia, Dr Ng founded and managed several start-ups across diverse sectors, including public relations, retail, and the food and beverage industry. His industry experience informs his applied, practice-oriented approach to teaching.


Course Fees, payment and refund policy

 International ParticipantsSingapore Citizen Below 40 years old/ Permanent ResidentSkillsFuture Mid-Career Enhanced Subsidy1 (Singaporeans aged 40 and above)Enhanced Training Support for SMEs2 (Singaporeans and PRs)
Full Course Fee (A)$1,753 $1,461 $1,461 $1,461
SSG Grant Rate (B)0%70%70%70%
SSG grant (C)-$1,022.70 $1,022.70 $1,022.70
Nett course fee (A)-(C) = (D)$1,753.00 $438.30 $438.30 $438.30
9% GST on net course fee (E)$157.77 $39.45 $39.45 $39.45
SSG Enhanced Funding Rate (F)0%0%20%20%
SSG Enhanced Grant (G)- -$292.20 $292.20
Total nett course fee payable, including GST (D) + (E) - (G) = (H)$1,910.77 $477.75 $185.55 $185.55

1 Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
2 Enhanced Training Support for SMEs: SME-sponsored employees (Singapore citizens and PRs) aged 21 and above may enjoy subsidies up to 90% of the course fees.

For the various payment mode, please refer here.
For the refund policy, please refer here

A written request for a refund must be submitted and is subject to approval. If written notice of withdrawal is given within the cooling off period1 and before the course start date, a full refund of the fees paid less an administrative charge of $110.00 (exclusive of GST) will be given. No refund will be given for withdrawal thereafter.

1The cooling off period is defined as 7 working days after payment of course fee.


Completion Requirement

  • Attendance: Participants must achieve at least 75% attendance.
  • Assessment: Participants must sit and pass all prescribed assessments and submit all course work stipulated in the section Assessments.
  • Evaluation: Participants are required to complete course evaluations conducted by SUSS and SSG at the end of the training.
Students who achieve at least 75% attendance and meet the course completion requirements will be awarded a Certificate of Completion. For those who do not meet the course requirements, a Certificate of Participation will be issued instead.


For clarification, please contact the SUSS Academy via the following:
Telephone: +65 6248 0263
Email: [email protected]