West Bengal Nursing Council
Indian Nursing Council, New Delhi
Director of Medical Education (DME)
Pharmacy Council of India, New Delhi
West Bengal University of Health Sciences
Recognition of College Section 2 (f) of the UGC ACT 1956
QS I-Gauge E-LEAD Certified for Excellence in Academic Digitisation
MAKAUT, Formerly WBUT, West Bengal
All technical courses are approved by AICTE, Ministry of Education, Govt. of India
OVERVIEW
The Department of Data Science is committed to cultivating analytical thinkers and innovative problem solvers capable of extracting valuable insights from data to address real-world challenges.
Established in response to the increasing demand for skilled data professionals, the department integrates the principles of computer science, mathematics, statistics, and domain expertise to equip students for dynamic careers in data-driven decision-making.
The curriculum is designed to provide a balanced blend of theoretical foundations and practical applications, ensuring holistic learning. Students gain proficiency in emerging technologies such as machine learning, artificial intelligence, big data analytics, cloud computing, and data visualization. Through hands-on training, research projects, and strong industry partnerships, the department prepares graduates to effectively solve complex, data-intensive problems across diverse domains.
PROGRAMMES OFFERED
Where Curiosity Meets Academic Excellence
The Department of Data Science offers comprehensive, skill-driven programmes designed to prepare students for diverse career paths in engineering, manufacturing, research, and innovation.
HOD Message
It is my great pleasure to welcome you to the Department of Computer Science & Engineering (Data Science), a centre of innovation, creativity, and academic excellence. In an era driven by data, the ability to uncover valuable insights from vast and complex information has become an indispensable skill across all domains. Our programme is thoughtfully crafted to develop students’ technical expertise, analytical acumen, and problem-solving capabilities, empowering them to excel in this dynamic and rapidly evolving field.
The Department adopts a comprehensive learning approach that seamlessly integrates theoretical knowledge with practical application. Our curriculum combines the foundational principles of computer science, mathematics, and statistics with cutting-edge technologies such as machine learning, artificial intelligence, big data analytics, and cloud computing. Through hands-on learning, industry internships, and collaborative projects, students gain real-world experience that strengthens their professional competence and confidence.
We take immense pride in our dedicated faculty, state-of-the-art laboratories, and research-driven academic environment, all of which inspire innovation and foster lifelong learning. Moreover, our emphasis on ethical data practices and social responsibility ensures that graduates are not only skilled professionals but also responsible contributors to society.
I warmly invite you to explore the vast opportunities that the field of Data Science presents. Together, let us harness the power of data to create a smarter, more informed, and sustainable future.
Mr. Anup Kumar Ghosh
Assistant Professor
FACILITIES
Empowering Minds, Enriching Lives
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Clubs & Societies Ranging from cultural, tech, literary, and sports
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FAQ's
It is a specialized engineering programme focused on data analytics, machine learning, and AI-driven computing.
Industry-aligned curriculum, hands-on projects, modern labs, and strong focus on data-driven technologies.
Data analytics, machine learning, AI, big data, statistics, programming, and database management.
Yes, through coding labs, real-world datasets, mini projects, and final-year capstone projects.
Python, R, SQL, Java, and other data science and analytics tools.
Data Scientist, Data Analyst, Machine Learning Engineer, AI Engineer, and Software Developer.
Yes, data science skills are in demand across IT, finance, healthcare, e-commerce, and manufacturing.
Yes, through internships, industry projects, and dedicated placement assistance.
Yes, graduates can pursue M.Tech, MS, MBA, or PhD in data science and related fields.
Apply through a transparent, merit-based admission process with academic counselling support.
