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The Department of Computer Science and Engineering (Data Science) was established in 2025 with the vision of nurturing competent professionals in the rapidly evolving field of Data Science. Since its inception, the department has made significant strides in academics, research, innovation, and extracurricular activities. It plays a pivotal role in fostering a vibrant, dynamic, and forward-looking academic environment within the institution.
The department currently offers a B.Tech. program in Computer Science and Engineering (Data Science), affiliated with Maulana Abul Kalam Azad University of Technology (MAKAUT), West Bengal. The curriculum is designed to equip students with strong foundations in computer science, data analytics, artificial intelligence, machine learning, and other emerging technologies, enabling them to address real-world challenges through data-driven solutions.
The department is committed to excellence in teaching, research, and community service, encompassing both fundamental concepts and contemporary developments in the field of Data Science. A team of highly qualified, experienced, and dedicated faculty members continuously mentors and guides students to achieve academic and professional excellence. Individual attention is provided through a structured mentoring system, while remedial classes and academic support programs are conducted to assist students who require additional guidance.
Project-based learning forms an integral part of the academic framework. Students actively engage in different types of projects such as live industry-oriented projects, and major dissertation work, which help enhance their technical expertise, analytical thinking, programming proficiency, and problem-solving capabilities. The department also encourages students to participate in workshops, seminars, NPTEL courses, coding contests, hackathons, technical symposiums, and other co-curricular activities. Such initiatives provide valuable practical exposure, promote innovation and creativity, and prepare students to meet the demands of the rapidly changing technological landscape.
Welcome to the Department of Computer Science and Engineering (Data Science). It gives me great pleasure to extend a warm greeting to all students, faculty members, and stakeholders of the department.
Established with the vision of nurturing skilled and innovative professionals, our department is committed to providing quality education in the rapidly growing field of Data Science. In today’s digital era, where data plays a crucial role in decision-making and technological advancement, we aim to equip students with strong foundations in computing, analytics, artificial intelligence, and machine learning, enabling them to transform data into meaningful insights.
We strongly emphasize holistic development for students through a blend of academic rigor and experiential learning. Students are encouraged to actively participate in projects, research activities, workshops, seminars, coding competitions, hackathons, and industry-oriented training programs. Our dedicated faculty members continuously mentor and guide students to achieve excellence in both academic and professional skills.
We strive to create a vibrant learning environment that fosters innovation, critical thinking, ethical values, and leadership qualities, preparing our students to become responsible professionals who can contribute effectively to society and technological progress.
To develop skilled and innovative data science professionals with strong analytical, technical, and ethical values, capable of addressing real-world challenges through data-driven solutions and contributing to societal and technological advancement.
Our departmental research group focuses on advancing knowledge in Natural Language Processing (NLP), Computational Linguistics, and Data Mining, with an emphasis on developing intelligent systems that can analyse, understand, and generate human language. By combining linguistic insights with modern machine learning and data-driven approaches, we address a variety of real-world challenges in language technology.
Our key research areas include Text Summarization, where we develop methods to automatically generate concise and informative summaries from large volumes of textual data, and Sentiment Analysis, which aims to identify opinions, emotions, and attitudes expressed in text. We also explore Computational Sociolinguistics, studying how language varies across social groups, cultures, and online communities, and Computational Stylistics, which focuses on analysing writing styles for applications such as authorship attribution, literary analysis, and stylistic characterization.
Through interdisciplinary research, innovative methodologies, and practical applications, we strive to contribute to the growing fields of language technologies and data analytics while addressing contemporary societal and technological challenges.