st. joseph's college of business administration (sjcba) is a premier business school located in bangalore, india. established in 1972, sjcba has been providing quality education to students from all over the world. the college offers a wide range of courses, including an mba in data science.
the mba in data science program at sjcba is designed to provide students with a comprehensive understanding of data science and its applications in the business world. the program focuses on the fundamentals of data science, including data mining, machine learning, and analytics. students will also learn how to use data to make informed decisions and develop strategies to improve business performance.
the program is offered in two specializations: data analytics and business intelligence. the data analytics specialization focuses on the use of data to identify patterns and trends in order to make better decisions. the business intelligence specialization focuses on the use of data to develop strategies and tactics to improve business performance.
the program also includes courses in programming, database management, and data visualization. students will also learn how to use data to create predictive models and develop strategies to improve customer experience.
the program is designed to prepare students for a successful career in data science. upon completion of the program, students will be equipped with the skills and knowledge necessary to pursue a career in data science.
| Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
|---|---|---|---|---|
| 2 Years | Post Graduate | INR 1.2 Lakhs | Full-time | Private |
year | course | description
1 | introduction to data science | introduction to the fundamentals of data science, including data collection, analysis, and visualization.
2 | data mining | techniques for discovering patterns and relationships in large datasets.
3 | machine learning | introduction to supervised and unsupervised learning algorithms and their applications.
4 | big data analytics | techniques for analyzing large datasets using distributed computing systems.
5 | data visualization | techniques for creating visual representations of data.
6 | natural language processing | techniques for analyzing and understanding natural language data.
7 | database management | introduction to database design and management.
8 | business intelligence | introduction to the use of data to inform business decisions.
9 | data security | introduction to data security and privacy.
10 | capstone project | application of data science techniques to a real-world problem.
|topic|
|-----|
|data science fundamentals|
|data visualization|
|data mining and machine learning|
|database management systems|
|data warehousing and business intelligence|
|big data analytics|
|data science applications|
|data science tools and technologies|
|data science project management|
|data science ethics and privacy|
