● To develop critical thinking skills with a scientific approach.
● To uphold scientific integrity and objectivity and enhance research culture.
● To engage in continuous reflective learning, in the context of technological and scientific advancements.
Requirements
● A mindset of problem-solving, problem analysis, and design ability as well as professional ethics needs to be developed.
● Strong mathematical and numeracy skills.
● Intermediate understanding of databases such as SQL servers.
● Excellent machine learning, statistical analysis, and problem-solving skills.
● Understanding of reporting and data visualization tools such as PowerBi or Tableau.
● Experience with data scripting languages (e.g., Python and SQL), statistical/mathematical software (e.g., Matlab), and General Algebraic Modeling Language (GAMS) to formulate complex optimization problems.
● Understanding of ETL framework and ETL tools.
