Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by nationality/region | Full-time | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Data Science, Introduction to Data Science, English for Communication, Environmental Studies |
Semester 2 | Programming in Python, Statistics for Data Science, Database Management Systems, Organizational Behavior, Financial Accounting |
Semester 3 | Data Structures and Algorithms, Machine Learning I, Big Data Analytics, Business Intelligence, Elective I |
Semester 4 | Advanced Python for Data Science, Machine Learning II, Data Visualization, Cloud Computing for Data Science, Elective II |
Semester 5 | Deep Learning, Natural Language Processing, Data Science Project Management, Elective III, Internship |
Semester 6 | Capstone Project, Industry Case Studies, Elective IV, Elective V |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Data Science, Programming in Python, Mathematics for Data Science, Statistics for Data Science I |
Semester 2 | Advanced Python for Data Science, Database Management Systems, Data Structures and Algorithms, Statistics for Data Science II |
Semester 3 | Machine Learning I, Big Data Analytics, Data Visualization, Linear Algebra for Data Science |
Semester 4 | Machine Learning II, Deep Learning, Natural Language Processing, Data Warehousing and Data Mining |
Semester 5 | Cloud Computing for Data Science, Business Intelligence, Advanced Analytics, Elective I (e.g., IoT for Data Science, Blockchain for Data Science) |
Semester 6 | Project Work, Internship, Elective II (e.g., Cyber Security for Data Science, Advanced Database Management Systems) |