AI and Data Science

AI and Data Science

AI can potentially reinvigorate Singapore’s economy and add up to US$215 billion in gross value across 11 industries by 2035.1

The growth of big data has led many organisations to categorise Data Scientists as a "crucial role" within their technology department. Data Scientists who can aptly apply mathematical and analytical skills, as well as business acumen, are highly sought after in today’s market.

Up to US$215 billion

Across 11 industries by 20351

Career Opportunities

  • Design and implement effective database solutions and models to store and retrieve company data
  • Examine and identify database structural necessities by evaluating client operations, applications and programming
  • Assess database implementation procedures to ensure they comply with internal and external regulations
  • Install and organise information systems to guarantee company functionality
  • Prepare accurate database design and architecture reports for management and executive teams

  • Evaluating internal functions, business development strategies and IT processes, and suggesting improvements
  • Creating business architecture models to reflect the organisation's strategies and goals
  • Evaluating systems engineering, talent recruiting, and accounting models for discrepancies and vulnerabilities
  • Suggesting ideas to reduce costs in IT and business leadership
  • Organising training to improve employees' knowledge and skills for future organisational growth

  • Analysing product, market and share trends to build warehouse data
  • Translating business needs into technical specifications
  • Developing reporting systems that provide accessible information for decision making
  • Evaluating and improving existing BI systems
  • Conducting troubleshooting on BI models
  • Maintaining data analytics platforms

  • Consulting with managers to determine and refine machine learning objectives
  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models
  • Transforming data science prototypes and applying appropriate ML algorithms and tools
  • Ensuring that algorithms generate accurate user recommendations
  • Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions

AI & Data Science Courses

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