Singapore University of Social Sciences

Applied Project

Applied Project (ANL588)

Applications Open: 01 May 2023

Applications Close: 15 June 2023

Next Available Intake: July 2023

Course Types: Modular Graduate Course

Language: English

Duration: 12 months

Fees: $4400 View More Details on Fees

Area of Interest: Business Administration

Schemes: Lifelong Learning Credit (L2C)

Funding: To be confirmed

School/Department: School of Business


ANL588 Applied Project is an opportunity for students to apply the techniques and skills they have acquired during their tenure as a graduate diploma student in analytics and visualisation to an organisation-relevant digitalisation project meant to contribute towards the transformation efforts of the organisation the student is working in. The student is expected to identify a suitable digitalisation problem the organisation is facing, and then design and implement a full-analytics stack to acquire, transform, analyse, visualise, and report their findings as part of a scalable and reproducible workflow. The student is expected to present and defend their project at periodic checkpoints during this course.

Level: 5
Credit Units: 10
Presentation Pattern: Every semester


  • Problem identification
  • Data needs
  • Project design
  • Project proposal
  • Project planning and establishing milestones
  • Implementing data acquisition stack
  • Implementing analytics stack
  • Implementing visualisation stack
  • Recommendations based on insights generated
  • Data visualisation storyboarding
  • Project Report Writing
  • Project Presentation

Learning Outcome

  • Evaluate the suitability of possible analytics methodologies for the project proposal
  • Critique the effectiveness of the proposed solution
  • Defend project results to peers and supervisors
  • Plan the project timeline and milestones to be achievable in the given timeframe
  • Design and implement a full analytics stack that meets the needs of the project
  • Create impactful data visualisations and storyboards for effective communication of insights and recommendations for decision making
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