The PES Institute of Technology, Bangalore South Campus offers a two-year full-time MBA in Data Science in Management with a seat intake of 60. The course fee is Rs. 5.5 Lakhs and covers important topics such as Data Mining, Machine Learning, Big Data Analytics, Business Intelligence, and Predictive Analytics. The entrance exam accepted for admission is CAT/MAT/XAT/CMAT/GMAT. The program is designed to provide students with the necessary skills and knowledge to become successful data scientists and managers. The program also provides students with the opportunity to gain hands-on experience through internships and industry projects.
| Course Duration | 2 Years |
|---|---|
| Course Level | Post Graduate |
| Course Tuition Fees | INR 3.5 Lakhs |
| Mode of Study | Full Time |
| Institute Type | Private |
| Semester | MBA in Data Science Management at PES Institute of Technology, Bangalore South Campus |
|---|---|
| Semester 1 | Data Science Fundamentals, Business Analytics, Data Visualization, Database Management Systems, Business Intelligence, Data Mining, Machine Learning, Big Data Analytics |
| Semester 2 | Data Science Applications, Business Process Management, Business Process Reengineering, Business Intelligence and Decision Support Systems, Advanced Database Management Systems, Cloud Computing, Data Warehousing, Advanced Data Mining |
| Semester 3 | Data Science Project Management, Advanced Machine Learning, Natural Language Processing, Text Mining, Deep Learning, Artificial Intelligence, Internet of Things, Blockchain Technologies |
| Semester 4 | Data Science Capstone Project, Data Science Ethics, Business Strategy and Analytics, Data Science Consulting, Data Science for Business, Data Science for Social Good, Data Science for Healthcare |
introduction to data science 2 data analysis and visualization 3 machine learning 4 data mining 5 big data analytics 6 predictive analytics 7 natural language processing 8 business intelligence 9 database management 10 statistical analysis and modeling 11, 1 introduction to data science 2 data analysis and visualization 3 machine learning 4 data mining 5 big data analytics 6 predictive analytics 7 natural language processing 8 business intelligence 9 database management 10 statistical analysis and modeling 11 data warehousing 12, introduction to data science 2 data analysis and visualization 3 machine learning 4 data mining 5 big data analytics 6 predictive analytics 7 natural language processing 8 business intelligence 9 database management 10 statistical analysis and modeling 11 data warehousing 12 cloud computing, 1 introduction to data science 2 data analysis and visualization 3 machine learning 4 data mining 5 big data analytics 6 predictive analytics 7 natural language processing 8 business intelligence 9 database management 10 statistical analysis and modeling 11 data warehousing 12 cloud computing, introduction to data science 2 data analysis and visualization 3 machine learning 4 data mining 5 big data analytics 6 predictive analytics 7 natural language processing 8 business intelligence 9 database management 10 statistical analysis and modeling 11 data warehousing 12 cloud computing 13 data security and privacy
