Data and AI will add USD 500 billion to India’s GDP by 2025, as per a report by McKinsey & Co and NASSCOM. As a end result, the demand for high quality information scientists who can interpret information to make knowledgeable selections is all set to blow up.
For professionals wanting to make use of this demand to construct a rewarding profession, PES University’s M.Tech Program in Data Science and Machine Learning in collaboration with Great Learning imparts the industry-relevant and in-demand abilities wanted to interrupt into the thrilling world of information science.
Leveraging the newest information science instruments and strategies is completely important to construction enterprise issues in machine studying and information science frameworks. With project-driven studying and mentorship from information science consultants, learners will achieve the talents and confidence they should land rewarding jobs in information science, enterprise evaluation, ML engineering, and massive information engineering roles.
Build real-world information science abilities from the perfect
Learners will earn an M.Tech diploma from a number one college to get a world-class studying expertise and the credibility to face out to recruiters.
PES University tops the record of New Universities Under 5 Years in Karnataka,Secured the sixth place in ICARE India Private University Rankings 2019Placed seventh on the record of India’s Most Trusted Educational Institutes
Comprehensive & industry-relevant curriculum
In this 2-year diploma program with weekend courses at PES University, Electronic City campus in Bangalore, information science and machine studying ideas will likely be lined in 4 modules within the first 12 months, adopted by an M.Tech thesis and an intensive capstone undertaking within the second.
Module 1
The first module on this program will familiarise candidates with Python for Data Science, SQL Database, and Statistical Methods for Decision Making.
Module 2
The second module will introduce Machine Learning Regression algorithms and ultimately construct up important mathematical ideas and information visualisation.
Module 3
The third module will introduce Machine Learning Classification and Unsupervised algorithms, Time Series, and Natural Language Processing.
Module 4
The final module covers Deep Learning and Big Data. Areas comparable to neural networks, TensorFlow, Keras, Computer Vision, CNN and Applications, and so on., would be the focus of this module.
Dedicated profession assist to grasp your profession desires
Access profession assist with Great Learning Excelerate, with 1200+ hiring companions, has seen over 20,000 job vacancies and over 20,000 learners interviewed monthly. Great Learning alumni work in high firms comparable to Google, Microsoft, Amazon, Netflix, Citibank, Uber, Adobe, Flipkart, and extra.
Showcase your experience to potential recruiters with an e-portfolio, a snapshot of the initiatives and abilities acquired in this system, which is shareable throughout social media channels.
Resume constructing and interview preparation to enhance your CV to spotlight abilities and former skilled expertise. Crack interviews with interview preparation periods.
Get profession mentoring and steering from {industry} consultants who’ve transitioned to roles within the {industry}. Benefit from their steering on construct a rewarding profession.
Access networking and program assist with a devoted program supervisor to unravel queries. Interact with friends to develop your skilled community.
How to use?
To apply for this program, commencement in BE/B Tech/M Sc (Mathematics)/MCA from a recognised college with at the very least 50% within the undergraduate diploma is required. Candidates additionally have to have work expertise of a minimal of 24 months by the point of the graduation of this system.
Power forward in your profession within the thrilling subject of information science with PES University’s M.Tech In Data Science & Machine Learning.
Limited seats out there per batch. Click right here to use and kickstart your studying journey.
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