chanakya university offers a two-year mba in data science in management with a seat intake of 60 students the program is designed to provide students with an in-depth understanding of data science and its application in the field of management the program covers important topics such as data mining machine learning predictive
| Course Duration | Course Level | Course Tuition Fees (Rs) | Mode of Study | Institute Type |
|---|---|---|---|---|
| 2 Years | Postgraduate | 2,50,000 | Full-time | Private University |
schema of chanakya university mba in data science 1 introduction to data science 2 data analysis and visualization 3 machine learning 4 database management 5 big data analytics 6 data mining 7 data warehousing 8 business intelligence 9 predictive analytics 10 text mining 11, syllabus of chanakya university mba in data science 1 introduction to data science 2 data analysis and visualization 3 machine learning 4 database management 5 big data analytics 6 data mining 7 data warehousing 8 business intelligence 9 predictive analytics 10 text mining 11, syllabus for chanakya university mba in data science 1 introduction to data science 2 data analysis and visualization 3 machine learning 4 database management 5 big data analytics 6 data mining 7 data warehousing 8 business intelligence 9 predictive analytics 10 text mining 11 natural language processing, a syllabus of chanakya university mba in data science 1 introduction to data science 2 data analysis and visualization 3 machine learning 4 database management 5 big data analytics 6 data mining 7 data warehousing 8 business intelligence 9 predictive analytics 10 text mining 11 natural language processing
| Semester | Important Topics |
|---|---|
| 1st Semester | Data Science Fundamentals, Statistical Analysis, Database Management, Programming Fundamentals |
| 2nd Semester | Data Mining, Machine Learning, Big Data Analytics, Business Intelligence |
| 3rd Semester | Data Visualization, Natural Language Processing, Cloud Computing, Data Security |
| 4th Semester | Data Warehousing, Data Structures, Algorithms, Project Management |
