Program Aim:

• Knowledgeable and skilled in the theory and practice of Data Science, including the notion of research work.
• Competent in using technical and interpersonal skills to communicating in a variety of contexts and responsibilities while doing research.
• Capable of working ethically and applying digital and analytical skills to assist Data Science professionals in their field.
• Capable of accepting autonomy and responsibility while demonstrating strong leadership abilities, which are valuable for industrial demands in the field of data science.
• Efficient in using personal skills to effectively pursue entrepreneurial activity in the field of data science.

Suggested topics to look into:

• Creating innovative data analysis methodologies.
• Investigate machine learning algorithms for predictive modeling.
• Investigate large data management and processing.
• Examining data ethics and privacy issues.
• Investigating the uses of data science across diverse businesses.
• Investigating optimization techniques for large-scale data sets.
• Investigating artificial intelligence methods for data analysis.
• Creating novel data visualization approaches.
• Investigating multidisciplinary cooperation for data science research.
• Investigating the effects of new technology on data science approaches.