PAEE/ALE
Published August 26, 2020 | Version v1
Conference paper Open

Building a Needs-based Curriculum in Data Science and Artificial Intelligence: Case Studies in Indonesia, Sri Lanka, and Thailand

Creators

  • 1. Asian Institute of Technology, Thailand
  • 2. Leiden University, the Netherlands
  • 3. Universitas Syiah Kuala, Indonesia
  • 4. Athens University of Economics and Business, Greece
  • 5. University of Minho, Portugal
  • 6. Walailak University, Thailand
  • 7. Institut Teknologi Bandung, Indonesia
  • 8. University of Peradeniya, Sri Lanka
  • 9. Universitas Sumatera Utara, Indonesia
  • 10. Khon Kaen University, Thailand
  • 11. University of Sri Jayewardenepura, Sri Lanka

Description

Indonesia and Thailand are middle-income countries within the South-East Asia region. They have well-established and growing higher education systems, increasingly focused on quality improvement. However, they fall behind regional leaders in educating people who design, develop, deploy and train data science and artificial intelligence (DS&AI) based technology, as evident from the technological market, regionally dominated by Singapore and Malaysia, while the region as a whole is far behind China. A similar situation holds also for Sri Lanka, in the South Asia region technologically
dominated by India. In this paper, we describe the design of a master’s level curriculum in data science and artificial intelligence using European  experience on building such curricula. The design of such a curriculum is a nontrivial exercise because there is a constant trade-off between having a sufficiently broad academic curriculum and adequately meeting regional needs, including those of industrial stakeholders. In fact, findings from a gap analysis and assessment of needs from three case studies in Indonesia, Sri Lanka, and Thailand comprise the most significant component of our curriculum development process.

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