Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by region and scholarships | Full-time | Private |
Year | BCA in Data Science Syllabus Overview |
---|---|
1st Year | Introduction to Programming, Mathematics for Data Science, Basics of Data Structures, Introduction to Database Management Systems, Communication Skills. |
2nd Year | Object-Oriented Programming, Advanced Data Structures and Algorithms, Operating Systems, Introduction to Data Science and Analytics, Statistical Methods for Data Science. |
3rd Year | Machine Learning, Big Data Analytics, Data Visualization, Cloud Computing for Data Science, Capstone Project in Data Science. |
First Year; Basics of Programming, Mathematics relevant to Computer Science, Introduction to Data Science, Management of Database Systems; Second Year; Advanced Programming Concepts, Statistics for Data Analysis, Fundamentals of Machine Learning, Visualizing Data, Data Warehousing and Extraction; Third Year; In depth study of Big Data Analytics, Advanced Machine Learning Techniques, Artificial Intelligence applications Cloud Computing specific to Data Science fieldwork Concluding Capstone Project focused on Data Science.
This outline serves as a guide and may differ from the actual syllabus provided by Axis Colleges. Each educational institution has its framework and emphasis areas—especially within dynamic domains, like Data Science.