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Artificial Intelligence & Data Science

Building intelligent technologies with the power of AI and data

About Artificial Intelligence & Data Science

The Artificial Intelligence & Data Science program is designed to equip students with the knowledge and technical skills required to build intelligent systems and analyze large volumes of data. The program provides a strong foundation in computer science, programming, mathematics, and statistical techniques that are essential for understanding modern AI and data-driven technologies.

The curriculum focuses on key areas such as machine learning, deep learning, data analytics, big data technologies, and artificial intelligence applications. Through laboratory sessions, hands-on projects, and practical assignments, students gain real-world experience in developing algorithms, building predictive models, and working with large datasets using modern tools and technologies. With the rapid growth of digital transformation and data-driven decision making across industries, the program prepares students for careers in artificial intelligence, data science, and advanced analytics. Graduates are trained to solve complex real-world problems, develop innovative technological solutions, and contribute to advancements in intelligent computing systems.

AI & Data Science Highlights

Advancing machine learning, big data, and intelligent systems

Intake

Advanced Labs

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Faculty

Labs & Facilties

Meet our distinguished faculty members who bring expertise and excellence to every classroom.

Programming & Data Structures Lab

This lab builds a strong foundation in programming and data structures using languages like Python and C++, focusing on problem-solving and efficient algorithm design.

Data Science Lab

The Data Science Laboratory provides hands-on experience in data analysis, visualization, and statistical modeling using tools such as Python, Pandas, NumPy, and Matplotlib.

Artificial Intelligence Lab

This lab focuses on implementing AI concepts such as search algorithms, knowledge representation, and intelligent systems for real-world applications.

Machine Learning Lab

The Machine Learning Laboratory enables students to develop predictive models using supervised and unsupervised learning techniques with tools like Scikit-learn and TensorFlow.

Big Data Analytics Lab

This Big Data Analytics Lab introduces and provides students to big data technologies such as Hadoop and Spark, focusing on processing and analyzing large-scale datasets efficiently.

Deep Learning & NLP Lab

The Deep Learning and NLP Lab provides practical exposure to neural networks, image processing, and natural language processing using frameworks like TensorFlow and PyTorch.

Campus & Student Life

Explore our comprehensive range of undergraduate and postgraduate programs

Academic Regulations & Guidelines

Our students consistently push boundaries, bringing pride to the institution on every stage.

Graduates of Artificial Intelligence & Data Science have diverse career opportunities in fields such as Data Science, Machine Learning Engineering, Artificial Intelligence Development, Data Analytics, Business Intelligence, and Software Development. Students can work in industries like IT, healthcare, finance, e-commerce, robotics, and automation, where AI-driven solutions are increasingly in demand.

Yes, the department provides hands-on laboratory training and practical sessions using modern tools and technologies such as Python, Machine Learning frameworks, Data Analytics platforms, and AI development environments. Students gain practical experience through projects, coding labs, and real-world problem-solving activities.

Yes, students are encouraged to participate in industry internships and research internships with leading IT companies and technology organizations. These internships help students gain practical exposure, industry knowledge, and real-world AI and data science project experience.

Yes, the department emphasizes emerging technologies such as Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Big Data Analytics, and Cloud Computing. Students are trained to work with modern AI tools and frameworks to meet the evolving demands of the technology industry.

The institution provides strong placement support through training programs, technical workshops, mock interviews, aptitude training, and industry collaborations. Students are prepared for recruitment drives by leading companies in the IT, analytics, and AI sectors.

Students can pursue higher studies such as M.Tech, MS, or Ph.D. in Artificial Intelligence, Data Science, Machine Learning, Computer Science, or related fields. They can also specialize in advanced areas like AI research, robotics, data engineering, and advanced analytics.

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