Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by nationality and other factors | Full-time | Private |
Semester | Course Name | Syllabus Details |
---|---|---|
Semester 1 | Introduction to Course | Overview, Basics, and Fundamentals |
Semester 2 | Advanced Topics in Course | Deep Dive into Advanced Topics, Case Studies |
Semester 3 | Applied Course Concepts | Practical Applications, Projects, and Group Work |
Semester 4 | Course Capstone | Capstone Project, Comprehensive Review, and Final Examination |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Data Science, Basics of Data Science |
Semester 2 | Python Programming, Statistics for Data Science, Database Management Systems |
Semester 3 | Data Structures and Algorithms, Machine Learning Basics, Data Visualization |
Semester 4 | Advanced Machine Learning, Big Data Analytics, Web Technologies for Data Science |
Semester 5 | Deep Learning, Natural Language Processing, Data Science Project Management |
Semester 6 | Capstone Project, Ethics in Data Science, Cloud Computing for Data Science |