Specializations:
Learning Outcomes:
The learning outcomes for the students will be:
Deep Learning Specialization
DevOps Specialization
On Campus BootCamp
On Mentor Guided Masters Dissertation
Sr. No. | Subjects |
---|---|
1 | Foundations of Probability and Statistics for Data Science |
2 | Digital and Social Media Analytics |
3 | Business Communication and Presentation Skills for Data Analytics |
4 | Essential Engineering Skills in Data Analytics using R and Python |
Sr. No. | Subjects |
---|---|
1 | Statistics and Probability in Decision Modeling – 1 |
2 | Statistics and Probability in Decision Modeling – 2 |
3 | The Art and Science of Storytelling and Visualization |
4 | Hands-on Data Science Project 1 |
Sr. No. | Subjects |
---|---|
1 | Behavior Science and Analytics |
2 | Project Management |
3 | Methods and Algorithms in Machine Learning – 1 |
4 | Design Thinking |
Sr. No. | Subjects |
---|---|
1 | Methods and Algorithms in Machine Learning – 2 |
2 | AI and Decision Science |
3 | Economics for Analysts |
4 | Hands-on Data Science Project 2 |
Sr. No. | Subjects |
---|---|
1 | Data Structures and Algorithms |
2 | Product Management |
3 | Business Law and Ethics |
Sr. No. | Subjects |
---|---|
1 | Data Engineering – 1 |
2 | Architecting Enterprise Applications |
3 | Quantitative Research Methods |
4 | Data Engineering – 2 |
Sr. No. | Subjects |
---|---|
1 | ML Algorithm Development Bootcamp |
2 | Masters Dissertation |
Sr. No. | Subjects |
---|---|
1 | Master Dissertation |
OPTION-1: INTEREST EMI FULL PAYMENT |
|
OPTION-2:FULL FEE PAYMENT |
|
OPTION-3: ANNUAL FEE PAYMENT |
|
In addition to the Fees, the following Fees are applicable:
Note
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