The Sai Vidya Institute of Technology MBA in Data Science in Management is a two-year full-time program with a seat intake of 60 students. The fee for the program is Rs. 2.5 lakhs. The program focuses on important topics such as data analytics, machine learning, artificial intelligence, and data visualization. The entrance exam accepted for admission is CAT/MAT/XAT/CMAT/GMAT. The program also offers a unique combination of industry-relevant courses, internships, and projects to give students a comprehensive understanding of the data science and management field.
| Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
|---|---|---|---|---|
| 2 Years | MBA | INR 2,50,000 | Full-Time | Private |
introduction to data science 2 data analysis and visualization 3 machine learning and artificial intelligence 4 database management and big data 5 data mining and predictive analytics 6 natural language processing 7 business intelligence and decision making 8, 1 introduction to data science 2 data analysis and visualization 3 machine learning and artificial intelligence 4 database management and big data 5 data mining and predictive analytics 6 natural language processing 7 business intelligence and decision making 8, introduction to data science 2 data analysis and visualization 3 machine learning and artificial intelligence 4 database management and big data 5 data mining and predictive analytics 6 natural language processing 7 business intelligence and decision making 8 data security and privacy, introduction to data science 2 data analysis and visualization 3 machine learning and artificial intelligence 4 database management and big data 5 data mining and predictive analytics 6 natural language processing 7 business intelligence and decision making 8 data security and privacy 9 cloud computing and, 1 introduction to data science 2 data analysis and visualization 3 machine learning and artificial intelligence 4 database management and big data 5 data mining and predictive analytics 6 natural language processing 7 business intelligence and decision making 8 data security and privacy 9 cloud computing and data, introduction to data science 2 data analysis and visualization 3 machine learning and artificial intelligence 4 database management and big data 5 data mining and predictive analytics 6 natural language processing 7 business intelligence and decision making 8 data security and privacy 9 cloud computing and data warehou, introduction to data science 2 data analysis and visualization 3 machine learning and artificial intelligence 4 database management and big data 5 data mining and predictive analytics 6 natural language processing 7 business intelligence and decision making 8 data security and privacy 9 cloud computing and data warehousing, 1 introduction to data science 2 data analysis and visualization 3 machine learning and artificial intelligence 4 database management and big data 5 data mining and predictive analytics 6 natural language processing 7 business intelligence and decision making 8 data security and privacy 9 cloud computing and data warehousing
| Semester | Important Topics |
|---|---|
| 1st Semester | Data Science Fundamentals, Business Analytics, Database Management, Data Visualization, Statistical Analysis |
| 2nd Semester | Data Mining, Machine Learning, Big Data Analytics, Predictive Modeling, Business Intelligence |
| 3rd Semester | Data Warehousing, Natural Language Processing, Cloud Computing, Text Mining, Data Security |
| 4th Semester | Data Governance, Internet of Things, Artificial Intelligence, Deep Learning, Project Management |
