Singapore University of Social Sciences

Applied Project

Applied Project (ANL588)

Applications Open: 01 May 2024

Applications Close: 15 June 2024

Next Available Intake: July 2024

Course Types: Modular Graduate Course

Language: English

Duration: 12 months

Fees: $4400 View More Details on Fees

Area of Interest: Business Administration

Schemes: To be confirmed

Funding: To be confirmed

School/Department: School of Business


ANL588 Applied Project provides students the opportunity to develop a portfolio that demonstrates their knowledge and skills in employing data analytics and/or workflow automation in solving a real-world business problem. Students are expected to identify, design, and implement an organisation-relevant digitalisation project using the appropriate combination of tools for data visualisation, machine learning and automation, and present and defend their project at periodic checkpoints during this course. Students are also expected to participate in mentoring sessions with their project advisors and seminars on the theory and practice of data analytics using R and Python.

Level: 5
Credit Units: 10
Presentation Pattern: EVERY REGULAR 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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