ARTIFICIAL INTELLIGENCE & DATA SCIENCE
A New World
Key Features
INTAKE
The total intake of AI & DS Engineering is 60
Excellent Teaching
All faculties are qualified as per AICTE norms and are highly proficient in their domains.
Hi-Tech Labs
All labs are equipped with state of the art facilities and laced with latest technologies
MOUs
Tie-Up with multiple industries to help students become industry ready.
What You Will Learn
Machine Learing
Regression, Clasification, Clustering, Reanforcement Learning, Projects
Deep Learning
Airtificial Neural Network (ANN), Convolutional NN (CNN), Recurrent Neural Network (RNN), GAN’s, NLP, Generative AI LLMs
Data Engineering
Data Modeling, Data Pipline, Data Warehousing, Extract Transfer Load (ETL), Data Mart, Big DAta, Data Lake.
Data Science
Data Accusation, Data cleaning, Feature Engineering, Data Analysis, Data Visualization, Report Building, Machine Learning
Hiring Partners
Top News
AI in Drug Discovery: Revolutionizing Pharmaceutical Innovation
Real-time data refers to information that is immediately available as it is created, supporting instant decision-making without delays. It impacts daily life, enabling everything from bank transactions to emergency response. The key feature is its time sensitivity, as insights quickly expire, necessitating prompt analysis.
For instance, nautical navigation software collects vast data points per second to ensure accurate weather and wave conditions, crucial for crew safety. Similarly, patient monitoring systems send vital signs to cloud software, alerting hospital staff instantly if indicators fall below safe levels. Real-time data empowers organizations to make swift, informed decisions. In stock trading, for example, real-time analytics allows for immediate corrections to mis-timed trades, enhancing overall efficiency and effectiveness.
Weekly Activity
Students Participation
TechXplore : Technical Idea Presentation
Code Debugging
Exploratory Data Analysis (EDA)
Events
The Artificial Intelligence and Data Science Department is organizing an Open Lecture on Deep Learning by Mr. Yash Bhalgat, a PhD Research Scholar from Oxford University. Students will gain valuable insights, learn research techniques, and receive guidance for pursuing advanced studies in Computer Science.
What You Could Become
Artificial intelligence and Data science engineering are some of the latest buzzwords that have taken the IT sector by storm. These technologies have completely revolutionised the way small and large businesses are run across industries. Even start-ups have benefited greatly from the use of AI and data science in their day-to-day operations.
Business Intelligence Developer
These professionals mash up Big Data tools and programming devices to design data science frameworks that can hold massive terabytes of data in real-time.
AI Data Analyst
AI data analytics refers to the practice of using artificial intelligence (AI) to analyse large data sets, simplify and scale trends, and uncover insights for data analysts.
Artificial Intelligence Engineer
Artificial intelligence engineers are professionals tasked with designing algorithms that can learn, analyse, and predict upcoming trends.
Student's Excellence
