About the Department
The Department of Artificial Intelligence and Data Science is dedicated to educating and empowering future-ready engineers who will lead innovation in intelligent technologies and data-driven systems. Artificial Intelligence and Data Science are among the fastest-growing and most impactful fields globally, influencing advancements in healthcare, finance, transportation, manufacturing, education, cybersecurity, climate science, and smart infrastructure.
With rapid developments in generative AI, large language models, autonomous systems, predictive analytics, and real-time data processing, the department is committed to delivering a curriculum that reflects the latest global trends and industry requirements. The department focuses on a strong foundation in computer science, combined with specialized expertise in artificial intelligence, machine learning, and data science.
The department offers two specialized undergraduate engineering programmes that blend theory, hands-on learning, research, and industry exposure to prepare students for professional excellence and lifelong learning.
Programmes Offered
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
The B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) programme is designed to develop engineers capable of creating intelligent systems that can learn from data, recognize patterns, make decisions, and adapt to real-world environments. This programme focuses on the core principles of artificial intelligence and machine learning that power modern technologies such as generative AI, self-driving vehicles, intelligent robotics, recommendation engines, speech recognition, and computer vision systems.
The curriculum integrates strong foundations in computer science with advanced AI and machine learning concepts. Students study data structures, algorithms, operating systems, computer networks, database systems, and software engineering alongside specialized subjects such as artificial intelligence, machine learning, deep learning, neural networks, natural language processing, computer vision, reinforcement learning, and AI ethics. Mathematical foundations including linear algebra, probability theory, statistics, and optimization techniques form a critical component of the programme.
The programme emphasizes experiential learning through extensive laboratory work, mini-projects, and capstone projects. Students gain practical experience using industry-standard programming languages, AI frameworks, and cloud platforms to build and deploy intelligent applications. Exposure to high-performance computing environments, GPU-based systems, and real-world datasets enables students to work on complex AI problems at scale.
Research and innovation are strongly encouraged. Students engage with emerging global research areas such as explainable artificial intelligence, trustworthy and ethical AI, multimodal AI systems, generative models, and AI applications in healthcare, finance, robotics, and smart cities. Industry internships, collaborative projects, and expert-led workshops help students connect academic learning with practical industry challenges.
Graduates of this programme are well-prepared for careers as Artificial Intelligence Engineers, Machine Learning Engineers, Robotics Engineers, AI Research Assistants, and Intelligent Systems Developers. The programme also provides a strong foundation for higher studies and research in artificial intelligence, machine learning, and related interdisciplinary domains.
B.Tech in Computer Science and Engineering (Artificial Intelligence and Data Science)
The B.Tech in Computer Science and Engineering (Artificial Intelligence and Data Science) programme focuses on extracting intelligence and value from data through advanced analytics and AI-driven approaches. In today’s data-intensive world, organizations rely on data science and artificial intelligence to drive strategic decisions, optimize operations, and create innovative products and services. This programme prepares students to design and implement data-centric intelligent systems across diverse domains.
The curriculum combines core computer science education with in-depth training in data science and artificial intelligence. Students study programming, data structures, algorithms, database management systems, cloud computing, and software engineering along with specialized courses in data science, statistical analysis, data mining, machine learning, big data technologies, data visualization, artificial intelligence, and ethical data practices.
Strong emphasis is placed on mathematical and statistical foundations, including probability, statistics, linear algebra, and predictive modeling, enabling students to analyze complex datasets and develop accurate and scalable analytical models. Students learn to handle structured and unstructured data, design data pipelines, perform exploratory data analysis, and build machine learning models for real-world applications.
Hands-on learning is delivered through advanced data science and analytics laboratories equipped with big data frameworks, distributed computing platforms, cloud-based tools, and visualization environments. Students work with large-scale datasets from real-world domains and gain experience in deploying analytics and AI solutions for business intelligence, forecasting, recommendation systems, and decision support.
The programme is closely aligned with current global trends such as data-centric AI, real-time analytics, AI-powered business intelligence, cloud-native data platforms, and responsible data governance. Industry internships, live projects, interdisciplinary research, and hackathons provide valuable exposure to practical challenges and emerging technologies.
Graduates of this programme pursue careers as Data Scientists, Data Analysts, AI Engineers, Big Data Engineers, Analytics Consultants, and Business Intelligence Developers. The programme also prepares students for entrepreneurship, innovation-focused roles, and advanced studies in artificial intelligence, data science, and allied fields.
Laboratories and Research Facilities
The Department of Artificial Intelligence and Data Science houses advanced laboratories that support teaching, research, and innovation. These facilities provide students with hands-on exposure to modern tools and technologies used in academia and industry.
The Artificial Intelligence and Machine Learning Lab supports experimentation with intelligent algorithms, deep learning models, computer vision systems, natural language processing applications, and reinforcement learning environments.
The Big Data and Data Analytics Lab enables students to work with large-scale datasets, distributed computing frameworks, data warehousing systems, and advanced visualization tools for data-driven insights.
The Intelligent Systems and Robotics Lab focuses on autonomous systems, AI-based control systems, sensor integration, and real-time decision-making.
Industry Interaction and Global Relevance
The department maintains strong connections with industry partners, research organizations, and technology communities to ensure curriculum relevance and practical exposure. Students benefit from industry internships, certification programmes, expert lectures, collaborative projects, and participation in national and international technical events.
The curriculum and research activities are aligned with global developments in artificial intelligence and data science, including generative AI, ethical and responsible AI, AI-driven analytics, edge AI, and intelligent automation.
Career Opportunities
Graduates from the Department of Artificial Intelligence and Data Science are highly sought after across industries such as information technology, healthcare, finance, manufacturing, e-commerce, telecommunications, and research organizations. Career opportunities include roles in artificial intelligence engineering, machine learning development, data science, analytics, research and development, cloud-based AI solutions, and technology entrepreneurship.
The department also provides a strong academic foundation for students aspiring to pursue higher education and research at leading national and international institutions.
Vision
The Department of Artificial Intelligence and Data Science aims to create globally competent engineers who combine technical excellence with ethical responsibility, innovation, and social impact, contributing meaningfully to the intelligent and data-driven future