Course Duration | Course Level | Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by region | Full-time | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming Mathematics for Computer Science Introduction to Data Analytics Principles of Management Communication Skills |
Semester 2 | Object-Oriented Programming Database Management Systems Data Structures and Algorithms Statistical Methods for Data Analysis Environmental Studies |
Semester 3 | Operating Systems Web Technologies Advanced Database Management Systems Data Visualization Business Analytics |
Semester 4 | Machine Learning Big Data Analytics Cloud Computing for Data Analytics Elective 1 (e.g., Internet of Things, Cyber Security Fundamentals) Research Methodology and Project Work (Part 1) |
Semester 5 | Predictive Analytics Data Mining Elective 2 (e.g., Advanced Web Technologies, Mobile Application Development) Elective 3 (e.g., Artificial Intelligence, Digital Marketing Analytics) Research Methodology and Project Work (Part 2) |
Semester 6 | Capstone Project Internship/Industrial Training Elective 4 (e.g., Blockchain Technology, Advanced Machine Learning) Professional Ethics and Human Values Seminar on Emerging Technologies |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Data Analytics, Programming Fundamentals, Discrete Mathematics |
Semester 2 | Database Management Systems, Data Structures, Probability and Statistics |
Semester 3 | Operating Systems, Object-Oriented Programming, Linear Algebra |
Semester 4 | Machine Learning Basics, Web Technologies, Advanced Database Management |
Semester 5 | Data Visualization, Big Data Analytics, Cloud Computing |
Semester 6 | Capstone Project, Business Intelligence, Ethics in Data Analytics |