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Department of Data science
Introduction
The Department of Data Science is committed to providing quality education in data analysis, statistics, computing, and emerging data-driven technologies. Data Science plays a significant role in transforming large and complex datasets into meaningful insights that support effective decision-making across various sectors. The programme provides students with a strong foundation in statistics, programming, database management, data analytics, machine learning, data visualization, and predictive modelling. Through practical learning, laboratory sessions, real-world projects, workshops, seminars, and industry-oriented activities, students develop analytical, computational, problem-solving, and decision-making skills. The department prepares students to meet the growing demand for skilled data professionals and pursue higher education, research, and diverse career opportunities in the data-driven digital world.
“Without data, you’re just another person with an opinion.”
— W. Edwards Deming
Vision
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To develop skilled, innovative, and responsible professionals in Data Science and analytics.
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To provide quality and industry-oriented education in data analysis, statistics, computing, and emerging technologies.
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To develop strong analytical, computational, statistical, and problem-solving skills among students.
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To encourage data-driven thinking, innovation, research, and continuous learning.
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To prepare students to effectively work with emerging technologies and the rapidly evolving data ecosystem.
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To nurture professionals who can transform data into meaningful insights for organisational and social development.
Mission
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To provide a strong foundation in statistics, programming, data analytics, databases, and machine learning.
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To develop students’ analytical, computational, statistical, and problem-solving abilities.
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To provide practical exposure through laboratory training, real-world projects, case studies, workshops, seminars, and industry-oriented activities.
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To introduce students to modern tools and technologies used in data analysis, visualization, and predictive modelling.
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·To encourage research, innovation, critical thinking, and data-driven decision-making.
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To develop technical, communication, teamwork, and professional skills required in the data science industry.
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To prepare students for higher studies, research, data analyst roles, business analytics, machine learning, artificial intelligence, and other data-related careers.
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To promote the ethical, responsible, and secure use of data for the benefit of organisations and society.
Faculty
Head of the Department
Assistant Professor
Assistant Professor
Assistant Professor
Assistant Professor