Master's of Applied Science in Data Science

The Master of Applied Science in Data Science program aims to provide students with advanced knowledge and research skills in the field of data science. In this program, the students will embark on a journey to explore data science, from foundational concepts to cutting-edge research. Through a blend of core courses, electives, and research, students will engage in deep learning and application of data science principles, culminating in the completion of an original research thesis. This program is structured to nurture critical thinking, problem-solving, and ethical research practices in data science.

Missions

Knowledge Advancement: To provide students with a comprehensive understanding of data science principles, methodologies, and emerging trends, enabling them to become field experts.

Research Excellence: To foster an innovative and research-oriented culture that enables students to conduct independent studies and contribute to the data-science field.

Interdisciplinary Learning: Through multidisciplinary study and collaboration, an integrated perspective of data science's application and impact on society is established.

Professional and Academic Development: To prepare students for both research and industry roles in data science, equipping them with expertise in diverse career paths of data science.

Objectives

1. Implement machine learning algorithms to solve real-world data science problems.
2. Evaluate and compare the performance of machine learning models and choose appropriate techniques for specific tasks.
3. Conduct advanced statistical analysis to derieve insights from data.
4. Critically assess and apply ethical guidelines and research methods to ensure the validity of data science research.
5. Create novel research contributions in the field of data science through the Master's thesis.