Feature | Detail |
---|---|
Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Varies |
Mode of Study | Full-time |
Institute Type | Private |
Semester | Subjects/Topics |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Data Science, Basics of Data Science, English Communication, Computer Fundamentals and Office Automation |
Semester 2 | Programming in Python, Database Management Systems, Data Structures and Algorithms, Probability and Statistics, Environmental Studies |
Semester 3 | Advanced Python for Data Science, Operating Systems, Machine Learning Basics, Discrete Mathematics, Soft Skills Development |
Semester 4 | Database Systems for Big Data, Web Technologies, Advanced Machine Learning, Linear Algebra, Minor Project |
Semester 5 | Data Visualization, Big Data Analytics, Deep Learning, Elective 1 (e.g., Natural Language Processing, Internet of Things, etc.), Internship |
Semester 6 | Cloud Computing for Data Science, Business Intelligence, Elective 2 (e.g., Blockchain Technology, Cyber Security, etc.), Major Project, Seminar |
Core Computer Science | Mathematics for Data Science | Data Science Fundamentals | Machine Learning | Data Visualization | Big Data Technologies | Programming for Data Science | Database Management | Statistics | Artificial Intelligence |
---|---|---|---|---|---|---|---|---|---|
Introduction to Programming | Linear Algebra | Data Analysis | Supervised Learning | Using Python libraries (e.g., Matplotlib) | Hadoop Ecosystem | Python/R Programming | SQL/NoSQL | Probability & Statistics | Basics of AI |