Master of Science in Data Science

Data Analysis Life Cycle -
Use appropriate data analytics and statistical techniques on available data to discover new relations and deliver insights into research problems or organizational processes and support decision-making.

• Apply data preprocessing techniques to align with the objectives of the analysis.
• Apply designated quantitative techniques to deploy appropriate models for analysis and prediction
• Utilize a variety of techniques through the data analysis life cycle.
• Implement data security measures.

Practical Applications -
Identify business challenges suitable for data analysis and apply a structured approach to analyze use cases across diverse business and industrial contexts, ensuring that data-driven insights align with organizational objectives. Additionally, develop tailored data products for various industries and proficiently employ MLOps strategies to deploy real-world solutions, emphasizing the seamless integration of machine learning models into operational workflows.

• Identify business problems that can be addressed with data analysis.
• Apply a structured approach to use case analysis in business and industry.
• Develop data products for different industries.
• Utilize MLOps strategies to deploy a real-world solution.