Pioneering the future of machine learning, big data analytics, and intelligent systems through rigorous computational and statistical training.
The Artificial Intelligence and Data Science (AI & DS) program is designed to equip students with a profound understanding of machine learning algorithms, statistical modeling, and big data architectures.
With high-performance computing laboratories and a curriculum aligned with global tech demands, our students dive deep into the realms of neural networks, natural language processing (NLP), and predictive analytics to solve complex societal and industrial challenges.
To be a premier center of excellence in Artificial Intelligence and Data Science, fostering cutting-edge algorithmic research, and producing ethically strong, globally competent software engineers and data scientists.
We transform students into industry-ready data professionals by bridging the gap between theoretical algorithms and real-world software deployment.
Master modern Python frameworks (TensorFlow, PyTorch), cloud data warehouses, and data visualization tools demanded by top-tier tech companies.
Access dedicated GPU clusters and cloud environments necessary to train complex neural networks and process massive datasets.
Benefit from a booming job market, with graduates securing roles as Data Scientists, ML Engineers, and Data Analysts in top IT software firms.
A carefully curated syllabus that balances mathematical foundations with intensive coding and practical application.
Defining the benchmark of our educational excellence and the core competencies of our data science graduates.
Beyond the classroom—exploring AI tech clubs, Kaggle competitions, hackathons, and collaborative R&D.
An active student body organizing Python coding bootcamps, Kaggle data challenges, and peer-to-peer mentoring sessions.
Regular masterclasses on AWS cloud deployment, PowerBI visualization, and MLOps pipelines led by industry experts.
Annual showcases where students present working AI models, predictive tools, and intelligent automation systems to tech recruiters.
Celebrating a rapidly growing legacy of software hackathon victories and pioneering AI research.
Comprehensive pre-placement training ensuring students are ready for top product-based IT firms.
Live predictive modeling and NLP projects executed by students in collaboration with tech startups.
Top podium finishes in national-level software coding and data science competitions.
Find answers to essential questions regarding admissions, curriculum focus, placements, and career pathways in AI & DS.
Graduates are highly sought after for roles such as Data Scientist, Machine Learning Engineer, AI Research Analyst, Big Data Engineer, and Business Intelligence Analyst in top IT, finance, healthcare, and e-commerce companies.
No prior coding experience is mandatory. The curriculum is designed to build your skills from the ground up, starting with foundational programming in Python and C, before advancing to complex ML algorithms.
While CSE covers general software engineering, networking, and operating systems, AI & DS is a specialized branch. It heavily focuses on statistics, data modeling, neural networks, and creating software systems that learn and adapt.
Learn from seasoned academicians and data researchers dedicated to nurturing your analytical capabilities.
