welcome to wings creations college of art media & design's mba in data science course. our course is designed to provide students with the skills and knowledge necessary to become successful data scientists. we offer a comprehensive curriculum that covers the fundamentals of data science, including data mining, machine learning, and data visualization. our faculty are experts in their fields and are committed to providing students with the best education possible. our course is designed to equip students with the skills to analyze and interpret data, develop predictive models, and create data-driven solutions. we also provide students with the opportunity to gain hands-on experience through internships and research projects. with our mba in data science, you will be well-prepared to enter the data science field and make a positive impact in the world.
| Course Duration | Course Level |
|---|---|
| 2 Years | MBA |
| Course Tuition Fees | Mode of Study |
| $20,000 | Online |
| Institute Type | Private |
syllabus for wings creations college of art media & design mba in data science
| course | description |
| --- | --- |
| introduction to data science | introduction to the fundamentals of data science, including data collection, analysis, and visualization. |
| data structures and algorithms | introduction to the basics of data structures and algorithms, including sorting, searching, and graph algorithms. |
| machine learning | introduction to the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning. |
| data visualization | introduction to the basics of data visualization, including data exploration, data wrangling, and data storytelling. |
| big data | introduction to the fundamentals of big data, including distributed computing, data streaming, and data warehousing. |
| database systems | introduction to the basics of database systems, including relational databases, nosql databases, and cloud databases. |
| data mining | introduction to the fundamentals of data mining, including clustering, classification, and association rule mining. |
| natural language processing | introduction to the basics of natural language processing, including text classification, sentiment analysis, and text summarization. |
| data security | introduction to the fundamentals of data security, including encryption, authentication, and access control. |
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