Department of Data Science — Objectives

 Objectives of Data Science

The objectives of the Data Science programme are structured to empower students with technical proficiency, analytical capabilities, and ethical decision-making skills:

• To extract valuable information for use in strategic decision making, product development, trend analysis, and forecasting.
• To apply quantitative modeling and data analysis techniques to the solution of real-world business problems, communicate findings, and effectively present results using data visualization techniques.
• To recognize and analyze ethical issues in business related to intellectual property, data security, integrity, and privacy.
• To apply ethical practices in everyday business activities and make well-reasoned ethical business and data management decisions.
• To demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
• To use data mining software to solve real-world problems.
• To employ cutting-edge tools and technologies to analyze Big Data.
• To apply algorithms to build machine intelligence.
• To demonstrate use of teamwork, leadership skills, decision making, and organization theory.
• To identify, represent, and extract meaningful information from data sources to be used for business purposes.
• To analyze, visualize, and model large amounts of data.
• To use tools to find unseen patterns, extract data, and convert information into actionable insights that are meaningful to the company.