Artificial Intelligence & Data Science
Master the technologies that are reshaping industries — from machine learning and deep learning to big data analytics and intelligent systems.
Master the technologies that are reshaping industries — from machine learning and deep learning to big data analytics and intelligent systems.
ANET's B.Tech in Artificial Intelligence & Data Science is a cutting-edge four-year program designed to produce the next generation of AI leaders. The curriculum blends rigorous theoretical foundations with extensive hands-on experience, covering machine learning, deep learning, natural language processing, computer vision, big data analytics, and reinforcement learning.
Students work with industry-standard tools and frameworks including TensorFlow, PyTorch, Keras, Spark, Hadoop, and cloud AI platforms from AWS, Google Cloud, and Azure. The program features live industry projects, research internships at top global universities, and a dedicated capstone project in the final year.
With a curriculum co-designed by industry partners including Google Research, Microsoft AI, and OpenAI, graduates emerge fully prepared for the most demanding roles in the AI and data science landscape.
Duration: 4 Years | Eligibility: 10+2 with Physics, Chemistry & Mathematics | Intake: 120 Seats
Comprehensive coverage of AI and data science disciplines
Supervised, unsupervised, and semi-supervised learning algorithms including regression, decision trees, SVMs, random forests, ensemble methods, and dimensionality reduction techniques. Hands-on with scikit-learn and MLflow.
Neural network architectures including CNNs, RNNs, LSTMs, GRUs, transformers, GANs, and autoencoders. Students build and deploy models using TensorFlow and PyTorch on GPU clusters and cloud TPUs.
Text preprocessing, word embeddings (Word2Vec, GloVe, BERT), sequence-to-sequence models, attention mechanisms, transformer architectures, and large language model fine-tuning for real-world NLP applications.
Image processing, object detection (YOLO, SSD, R-CNN), image segmentation, facial recognition, pose estimation, and generative vision models. Practical work using OpenCV, Detectron2, and vision transformers.
Distributed computing with Hadoop and Spark, real-time stream processing with Kafka and Flink, data warehousing, ETL pipelines, and large-scale data visualization using Tableau, Power BI, and D3.js.
Markov decision processes, Q-learning, policy gradients, deep RL (DQN, PPO, SAC), multi-agent systems, and real-world applications in robotics, game playing, and autonomous systems using OpenAI Gym.
Graduates are prepared for the most sought-after roles in technology
Design, build, and deploy AI-powered applications and intelligent systems. Average starting salary: ₹18-25 LPA. Top recruiters: Google, Microsoft, Amazon, Meta.
Analyze complex datasets to derive actionable insights, build predictive models, and drive data-informed decision-making. Average starting salary: ₹16-24 LPA.
Design end-to-end machine learning infrastructure, manage MLOps pipelines, and architect scalable AI systems. Average starting salary: ₹20-30 LPA.
Lead AI product strategy, define roadmaps, and bridge the gap between technical capabilities and business needs. Average starting salary: ₹18-28 LPA.
Specialize in natural language processing systems including chatbots, translation engines, and LLM-based applications. Average starting salary: ₹17-26 LPA.
Build vision-based systems for autonomous vehicles, medical imaging, surveillance, and augmented reality. Average starting salary: ₹18-27 LPA.
Architect and manage large-scale data processing systems, streaming pipelines, and distributed databases. Average starting salary: ₹15-22 LPA.
Push the boundaries of AI through fundamental research, publish papers, and develop novel algorithms. Average starting salary: ₹22-35 LPA.
Join India's premier AI program and become part of a community shaping the next technological revolution. Scholarships available for meritorious students.