Offered By
TCS iON
in collaboration with

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Course Details

Course Commencement

Course Completion

Language

English

Exam Dates

Credits & LTP
Each course offers 5 credit points
Lecture
3
Tutorial
1
Practical (Hands-on)
1
Credit
5
Recommended For:
Graduation Programme - B.E./B.Tech
Branch - Electronics & Communication Engineering, Computer Science & Information Technology, Electrical Engineering, Mechanical (all Science and Technology/Eng. streams/Mathematics, Physics, Statistics)
Semester -
5th,  6th,  7 th  and  8th

Course Summary

Analytics and ML in Fintech is an algorithmic technology that has the potential to explore and learn from data to enhance or automate decision-making in financial services or processes. With the ability to handle large data sets and resources, Machine Learning (ML) has advanced from being an outlier to becoming the very centre of the technology boom in the finance industry. Machine learning algorithms in the financial services industry can forecast market risks, reduce frauds, and recognise opportunities for the future.

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RECOMMENDED PRIOR KNOWLEDGE

A strong understanding of:
  1. Basic to advanced Statistics
  2. Programming skills
  3. Probability
  4. Basic Mathematics
  5. Algorithms in Machine Learning and
  6. Recent developments in the financial world

Course Syllabus

The course syllabus will be delivered through a combination of eLearning resources, digital lectures, community based digital classrooms as applicable.

Course Components

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Potential Career Path

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