Aims and Learning Outcomes

Aims

The MScDS programme aims to:

Foster students to explore and push the boundaries of data science, through developing approaches, algorithms, and solutions to address emerging challenges in real world.
Encourage collaboration and integration of knowledge from various disciplines, leveraging insights from statistics, computer science, mathematics, and domain-specific domains (e.g., health, business, etc).
Provide students with hands-on experience and real-world projects to develop skills that are directly applicable to industry and research settings.

On completing the MScDS programme, students will be able to:

Synthesize the knowledge and skills required to function effectively as artificial intelligence (AI) specialists, data science professionals, and entrepreneurs in the industry.
Plan and effectively compare contemporary AI, data analytics and other Information Technology techniques for managing, mining, analyzing and visualizing data across multiple disciplines
Design, implement, deploy, and manage the solutions for real-world problems using industry-standard data science tools, programming languages, and software platforms
Develop critical thinking and problem-solving skills to identify appropriate data science methods, tools, and algorithms for specific real-world problems and to evaluate their performance and limitations in different scenarios.
Recognize the ethical and responsible use of data science methods and tools, including security, privacy, fairness, transparency, and accountability in data collection, analysis, and decision-making processes.
Deliver the findings and communicate to stakeholders of a variety of diverse backgrounds.