Course Duration | Course Level | Course Fee | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies | Full-time | Private |
Semester 1 | Semester 2 | Semester 3 | Semester 4 | Semester 5 | Semester 6 |
---|---|---|---|---|---|
Introduction to Programming | Object-Oriented Programming | Data Structures | Database Management Systems | Machine Learning | Big Data Analytics |
Mathematics for Computer Science | Discrete Mathematics | Operating Systems | Software Engineering | Deep Learning | Cloud Computing |
English for Communication | Environmental Science | Web Technologies | Computer Networks | Natural Language Processing | Capstone Project |
Principles of Management | Statistics | Algorithm Design | System Analysis and Design | Data Visualization | Internship |
Module | Important Topics |
---|---|
Programming Foundations | Python Programming, Algorithms, Data Structures |
Mathematics for Data Science | Statistics, Probability, Linear Algebra, Calculus |
Data Management and Manipulation | SQL, NoSQL, Data Cleaning, Data Wrangling |
Data Analysis and Visualization | Pandas, NumPy, Matplotlib, Seaborn |
Machine Learning | Supervised Learning, Unsupervised Learning, Neural Networks, TensorFlow, Scikit-learn |
Big Data Technologies | Hadoop, Spark, Big Data Analytics |
Deep Learning | Convolutional Neural Networks, Recurrent Neural Networks, TensorFlow, Keras |
Capstone Project | Real-world Data Science Project, Project Management, Documentation |