The Computer Science & Engineering (Data Science) specialization is thoughtfully conceived to prepare future technologists to harness the transformative power of data. Rooted in rigorous computational principles and advanced analytical methodologies, the program enables students to derive meaningful intelligence from large and complex datasets through statistical modelling, machine learning, and modern data technologies.
Guided by a carefully designed and industry-relevant curriculum, learners engage with contemporary analytics platforms, advanced visualization environments, and predictive modelling frameworks. Emphasizing both intellectual depth and practical application, the program nurtures the ability to interpret data with clarity, uncover valuable insights, and develop intelligent, data-driven solutions that shape innovation across an increasingly digital world.
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Graduates of the CSE – Data Science program will acquire the analytical, technical, and collaborative competencies required to derive meaningful insights from data. Upon completion of the program, students will be able to:
Students build strong foundations in mathematics, science, and programming.
Subjects include:
Students develop core computing skills essential for data science.
Key subjects include:
Laboratories help students implement algorithms and database systems.
Students begin specialization in analytics and data technologies.
Subjects typically include:
Students also work on mini projects involving real datasets.
The final year focuses on real-world applications and research.
Students study:
Students complete:
CSE – Data Science graduates develop expertise in analytics, machine learning, and data-driven decision-making, for impactful careers in the modern data and technology ecosystem.
Career pathways include roles such as:
Industries:
Key industries employing data science graduates include technology and software companies, finance and fintech organizations, healthcare and medical analytics, and e-commerce and digital platforms.
Students learn tools such as Python, R, SQL, and modern analytics platforms for data processing and visualization.
Yes. Machine learning is a core component of the data science specialization.
Overview
