Course Duration | Course Level | Course Fee | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies | Full-time | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies |
Semester 2 | Statistics for Data Science, Python Programming, Database Management Systems, Organizational Behavior, Data Structures |
Semester 3 | Machine Learning Basics, Big Data Analytics, Web Technologies, Financial Accounting, Elective 1 |
Semester 4 | Advanced Machine Learning, Data Visualization, Cloud Computing for Data Science, Business Intelligence, Elective 2 |
Semester 5 | Deep Learning, Natural Language Processing, Project Management, Elective 3, Elective 4 |
Semester 6 | Capstone Project, Internship, Elective 5, Elective 6 |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Data Science, Programming Fundamentals using Python, Mathematics for Data Science |
Semester 2 | Database Management Systems, Data Structures and Algorithms, Probability and Statistics |
Semester 3 | Machine Learning Principles, Big Data Analytics, Linear Algebra |
Semester 4 | Data Visualization, Advanced Python for Data Science, Database Management and Optimization |
Semester 5 | Deep Learning, Natural Language Processing, Data Ethics and Law |
Semester 6 | Capstone Project, Cloud Computing for Data Science, Elective |