The exponential growth in data generation across all sectors has catalyzed an unprecedented demand for data science and machine learning expertise, with industries seeking to leverage big data for competitive advantage and innovation. Recognizing this, the Master of Science Program in Data Science and Machine Learning is designed to equip students with advanced analytical skills, practical machine learning proficiency, and the ability to translate complex data sets into actionable insights. This program addresses the critical skills gap in the job market by merging theoretical knowledge with real-world application, preparing graduates to lead data-driven initiatives in a variety of professional settings and contribute significantly to the rapidly evolving field of artificial intelligence.

The Department of Mathematics at Naresuan University has launched the Master of Science in Data Science and Machine Learning as a proactive initiative to cultivate highly skilled professionals in the analytics domain, responding to the global surge in demand for expertise in interpreting complex data. Anchored in the department's strong mathematical tradition, the curriculum is thoughtfully designed to deepen knowledge in statistical analysis, algorithmic development, and predictive model construction—key aspects of machine learning. The program is devised to seamlessly integrate abstract mathematical concepts with their practical applications in data science, thus enabling graduates to address sophisticated data-centric problems and drive innovation across various sectors that depend on analytical insights for strategic decisions.

The Master of Science Program in Data Science and Machine Learning is designed to cultivate graduates with the following attributes :

1. Possess a profound grasp of the foundational principles, theories, and key concepts in data science, machine learning, and artificial intelligence, enabling the application of this knowledge to advanced research or professional domains.

2. Demonstrate the capability to conduct research or oversee academic projects that contribute to the advancement of knowledge and innovative methodologies within the realms of data science, machine learning, and artificial intelligence.

3. Exhibit strong analytical thinking, the ability to synthesize information, and adeptness in articulating ideas through imaginative communication and computer-based techniques in the areas of data science, machine learning, artificial intelligence, information technology, and contemporary management, thus fostering knowledge development with broad applicability./p>

4. Uphold a strong sense of ethics, morality, and professional integrity while also demonstrating leadership qualities.