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Overview of the Program

Specializations:
Learning Outcomes:  
The learning outcomes for the students will be:  
Deep Learning Specialization  
DevOps Specialization
On Campus BootCamp  
On Mentor Guided Masters Dissertation  

Structure of the Program (Duration: 2 years) - Specialization Deep Learning

Sr. No.Subjects
1Foundations of Probability and Statistics for Data Science
2Digital and Social Media Analytics
3Business Communication and Presentation Skills for Data Analytics
4Essential Engineering Skills in Data Analytics using R and Python

 

Sr. No.Subjects
1Statistics and Probability in Decision Modeling – 1
2Statistics and Probability in Decision Modeling – 2
3The Art and Science of Storytelling and Visualization
4Hands-on Data Science Project 1

 

Sr. No.Subjects
1Behavior Science and Analytics
2Project Management
3Methods and Algorithms in Machine Learning – 1
4Design Thinking

 

Sr. No.Subjects
1Methods and Algorithms in Machine Learning – 2
2AI and Decision Science
3Economics for Analysts
4Hands-on Data Science Project 2

 

Sr. No.Subjects
1Mathematical Analysis for Data Science
2Advanced Mathematical Analysis for Data Science
3Computer Vision Fundamentals and Deep Learning Applications – 1
4Business Law and Ethics
Sr. No.Subjects
1Computer Vision Fundamentals and Deep Learning Applications – 2
2Text Mining and Natural Language Processing using Deep Learning
3Quantitative Research Methods
4Data Engineering
Sr. No.Subjects
1ML Algorithm Development Bootcamp
2Masters Dissertation
Sr. No.Subjects
1Master Dissertation

Structure of the Program (Duration: 2 years) - Specialization DevOps

Sr. No.Subjects
1Foundations of Probability and Statistics for Data Science
2Digital and Social Media Analytics
3Business Communication and Presentation Skills for Data Analytics
4Essential Engineering Skills in Data Analytics using R and Python

 

Sr. No.Subjects
1Statistics and Probability in Decision Modeling – 1
2Statistics and Probability in Decision Modeling – 2
3The Art and Science of Storytelling and Visualization
4Hands-on Data Science Project 1

 

Sr. No.Subjects
1Behavior Science and Analytics
2Project Management
3Methods and Algorithms in Machine Learning – 1
4Design Thinking

 

Sr. No.Subjects
1Methods and Algorithms in Machine Learning – 2
2AI and Decision Science
3Economics for Analysts
4Hands-on Data Science Project 2

 

Sr. No.Subjects
1Data Structures and Algorithms
2Product Management
3Business Law and Ethics

 

Sr. No.Subjects
1Data Engineering – 1
2Architecting Enterprise Applications
3Quantitative Research Methods
4Data Engineering – 2

 

Sr. No.Subjects
1ML Algorithm Development Bootcamp
2Masters Dissertation

 

Sr. No.Subjects
1Master Dissertation

 

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Eligibility Criteria

Qualifying Skills Required for Deep Learning Specialization

Qualifying Skills Required for Dev Ops Specialization

Note  

Fee Structure

The below mentioned Fee structure is subject to change at the discretion of the University. Any payment made via Demand Draft should be made in favour of “SVKM’s NMIMS” payable at Mumbai.
OPTION-1: INTEREST EMI FULL PAYMENT Admission Processing Fees (One time, non-refundable): INR 1,500
Full Fee Payment INR 6,00,000
Full Fees Payment with 0% EMI Option
Processing Fee As Applicable
OPTION-2:FULL FEE PAYMENT Admission Processing Fees (One time, non-refundable): INR 1,500
Program Fee per year INR 5,70,000
OPTION-3: ANNUAL FEE PAYMENT Admission Processing Fees (One time, non-refundable): INR 1,500
Program Fee per year INR 3,00,000
Annual Payment Option – Easy 0% EMI Options Available – No of Years 2
Processing Fee As Applicable

ADDITIONAL FEE

In addition to the Fees, the following Fees are applicable:
  • An initial amount of Rs. 10,000/- from the program fee will be collected at the time of registration
  • EMI Facility (3, 6, 9, 12 months) available via credit cards of the following banks: HDFC Bank, ICICI Bank, Axis Bank, Citi Bank, Standard Chartered Bank, HSBC Bank, SBI, Kotak Mahindra Bank

Knowledge Partner and Career Assistance

  • Knowledge Partner: INSOFE

    • International School of Engineering (INSOFE) – one of Asia’s largest Data Science schools represents NGASCE as a knowledge partner to provide deep technical training in the field of artificial intelligence, data science & machine learning
    • INSOFE is the world’s leading research-driven educational institution in Applied Engineering with world-renowned faculty members holding PhDs from elite international universities and having worked as CXO’s in large analytics firms
    • It has routinely ranked amongst the top data science schools in the country and has academic affiliations with several high-ranking Indian and International Universities and several prominent institute-industry
    • In addition to training over 1000 students a year through its classroom program, INSOFE works with over 100 corporations globally to train CXO’s, mid-level managers and engineers
  • A dedicated team of NGASCE’s career advisors shall provide one-on-one support to students in CV development, arranging interviews and other areas of placement support
  • Get job opportunities from 500+ recruitment partners from NGASCE & INSOFE
  • Get access to the NGASCE Job Portal where you can apply to unlimited job positions

Check the Features of the Programs in Video

We have made a short video of around 4 minutes for you to know about our Programs offered and the Highlights of the Programs. We have also shared in video, the Sample Certificate of the University, Sample Mark Sheet a Student gets, Screenshot of the Student Zone and Live Lectures.
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8080 500 400

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nmims@halo.co.in