Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by Region | Full-time | Private |
Year | Semester | Subjects |
---|---|---|
1 | 1 | Introduction to Programming, Mathematics for Data Science, Introduction to Data Science, English Communication, Environmental Studies |
1 | 2 | Programming in Python, Statistics for Data Science, Database Management Systems, Principles of Management, Human Values and Ethics |
2 | 1 | Data Structures and Algorithms, Machine Learning Basics, Big Data Analytics, Operating Systems, Elective 1 |
2 | 2 | Advanced Machine Learning, Data Visualization, Cloud Computing for Data Science, Research Methodology, Elective 2 |
3 | 1 | Deep Learning, Natural Language Processing, Business Intelligence, Project Work (Part 1), Elective 3 |
3 | 2 | Capstone Project, Industry Internship, Elective 4, Elective 5 |
Core Computer Science | Mathematics for Data Science | Data Science Fundamentals | Advanced Data Science | Practical Applications |
---|---|---|---|---|
Programming Fundamentals, Database Management, Algorithms, Computer Networks, Software Engineering | Statistics, Probability, Linear Algebra, Calculus, Discrete Mathematics | Data Analysis, Data Visualization, Machine Learning Basics, Big Data Technologies, Data Mining | Advanced Machine Learning, Deep Learning, Natural Language Processing, Time Series Analysis, Neural Networks | Project Work, Internships, Case Studies, Industry Tools like Python, R, SQL, TensorFlow, Hadoop |