Course Duration | Course Level | Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies | Full-time | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Data Science, English Communication, Environmental Studies |
Semester 2 | Programming in Python, Database Management Systems, Discrete Mathematics, Principles of Data Science, Communication Skills |
Semester 3 | Data Structures and Algorithms, Operating Systems, Statistical Methods for Data Science, Machine Learning I, Minor Project |
Semester 4 | Advanced Database Management Systems, Machine Learning II, Big Data Analytics, Web Technologies, Internship |
Semester 5 | Cloud Computing for Data Science, Artificial Intelligence, Elective I, Elective II, Seminar |
Semester 6 | Project Work, Elective III, Elective IV |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Data Science, Basics of Data Structures |
Semester 2 | Object-Oriented Programming, Database Management Systems, Statistical Methods for Data Science |
Semester 3 | Python for Data Science, Data Visualization, Linear Algebra for Data Science |
Semester 4 | Machine Learning Fundamentals, Big Data Analytics, Web Technologies for Data Science |
Semester 5 | Advanced Machine Learning, Natural Language Processing, Data Warehousing and Data Mining |
Semester 6 | Deep Learning, Capstone Project, Business Intelligence |