Subject Overview
Our Data Science & AI program offers a cutting-edge curriculum designed to prepare students for the future of technology. The subjects focus on data analysis, machine learning, artificial intelligence, and their practical applications in various industries.
Semester-wise Subject Distribution
Semester 1
Mathematics for Data Science
Linear Algebra, Calculus, Probability Theory
Programming Fundamentals
Python Programming, Data Types, Control Structures
Statistics & Probability
Descriptive Statistics, Probability Distributions
Data Structures & Algorithms
Arrays, Lists, Trees, Graphs, Algorithm Analysis
Semester 2
Linear Algebra
Vectors, Matrices, Eigenvalues, Vector Spaces
Database Management Systems
SQL, NoSQL, Data Modeling, Query Optimization
Data Visualization
Matplotlib, Seaborn, Tableau, D3.js
Machine Learning Basics
Supervised Learning, Classification, Regression
Semester 3
Python for Data Science
NumPy, Pandas, Scikit-learn, Jupyter
Statistical Analysis
Hypothesis Testing, ANOVA, Regression Analysis
Exploratory Data Analysis
Data Cleaning, Feature Engineering, EDA Techniques
Data Mining
Association Rules, Clustering, Pattern Recognition
Semester 4
Advanced Machine Learning
Ensemble Methods, SVM, Random Forest, XGBoost
Deep Learning
Neural Networks, CNN, RNN, TensorFlow, PyTorch
Big Data Analytics
Hadoop, Spark, MapReduce, Data Processing
Natural Language Processing
Text Processing, NLP Models, Sentiment Analysis
Semester 5
Computer Vision
Image Processing, Object Detection, OpenCV
Artificial Intelligence
Search Algorithms, Knowledge Representation, Expert Systems
Time Series Analysis
ARIMA, Forecasting, Seasonal Decomposition
Cloud Computing for AI
AWS SageMaker, Google AI Platform, Azure ML
Semester 6
Reinforcement Learning
Q-Learning, Policy Gradients, Deep RL
AI Ethics & Governance
Bias, Fairness, Privacy, Responsible AI
AI in Business
AI Strategy, ROI, Implementation, Case Studies
Professional Elective I
Choose from specialized topics
Semester 7
Capstone Project I
AI/ML Project Planning, Research, Implementation
Professional Elective II
Choose from specialized topics
Professional Elective III
Choose from specialized topics
Semester 8
Capstone Project II
Project Completion, Documentation, Presentation
Industry Internship
Real-world AI/ML experience in industry
Professional Elective Subjects
Students can choose from the following elective subjects based on their interests and career goals:
Advanced AI
- Generative AI & LLMs
- Computer Vision Advanced
- Speech Recognition
- AI for Healthcare
Data Engineering
- Data Pipeline Design
- Real-time Data Processing
- Data Warehousing
- ETL Processes
Specialized Analytics
- Financial Analytics
- Marketing Analytics
- Social Media Analytics
- IoT Data Analytics
AI Applications
- AI in Finance
- AI in Healthcare
- AI in Manufacturing
- AI in Retail
Ready to Shape the Future with AI?
Explore our comprehensive Data Science & AI curriculum and begin your journey into the world of artificial intelligence.