The Pearl Academy Bengaluru MBA in Data Science in Management is a two-year full-time program that offers a comprehensive curriculum in data science and management. It has a seat intake of 60 students and the fee is Rs. 8.5 lakhs. The program covers important topics such as data mining, machine learning, predictive analytics, big data, and business intelligence. The entrance exam accepted for admission is CAT/MAT/XAT/CMAT/GMAT. The program also provides students with the opportunity to gain hands-on experience through internships and industry visits. The program also offers a wide range of electives to choose from, allowing students to customize their learning experience.
| Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
|---|---|---|---|---|
| 2 Years | Postgraduate | INR 4.5 Lakhs | Full-time | Private |
| Semester | MBA in Data Science Syllabus |
|---|---|
| 1st Semester | Data Science Fundamentals, Business Analytics, Data Visualization, Machine Learning, Database Management, Data Mining, Big Data Analytics, Predictive Analytics, Natural Language Processing, Cloud Computing, Data Warehousing, Web Technologies, Business Intelligence, Data Structures & Algorithms |
| 2nd Semester | Data Science in Practice, Advanced Machine Learning, Advanced Database Management, Advanced Data Mining, Advanced Predictive Analytics, Advanced Natural Language Processing, Advanced Cloud Computing, Advanced Data Warehousing, Advanced Web Technologies, Advanced Business Intelligence, Advanced Data Structures & Algorithms |
| 3rd Semester | Data Science Project, Data Science in Business, Data Science in Healthcare, Data Science in Finance, Data Science in Retail, Data Science in Media, Data Science in Education, Data Science in Government, Data Science in Manufacturing, Data Science in Security, Data Science in Transportation |
| 4th Semester | Data Science Capstone Project, Data Science Consulting, Data Science Ethics, Data Science Research Methods, Data Science Leadership, Data Science Communication, Data Science Entrepreneurship, Data Science Career Planning |
| Topic | Description |
|---|---|
| Organizational Behaviour | Understanding the behaviour of individuals and groups in organizations |
| Human Resource Planning | Planning for the recruitment, selection, and development of human resources |
| Compensation and Benefits | Designing and managing compensation and benefits systems |
| Employee Relations | Managing employee relations and resolving conflicts |
| Performance Management | Designing and implementing performance management systems |
| Training and Development | Designing and delivering training and development programs |
| Labor Laws | Understanding and applying labor laws and regulations |
