Program Features
Highlights
- Gain deep technical training in the areas of core artificial intelligence methods.
- Understand and solve complex machine learning problems with structured and unstructured data.
- Develop knowledge of business aspects that are important for solving and implementing data science solutions.
Learning Outcomes
The learning outcomes for the student will be:
- Confidence and mastery in the entire AI algorithm development (understanding business problem to analytical and mathematical problem, data understanding, data preparation, modelling and evaluation).
- Competency in algorithm development and data visualization tools including R, Python and Tableau
- Hands on experience with building and applying learning to simple and complex projects involving structured and unstructured data.
Program Structure
The program has 4 academic terms including an industry-focused curriculum.
Tools & Skills
The 12-month program with 4 academic terms equips you with the most coveted skills like:
Faculty
The faculty pool consists of over 50+ world class products builders, researchers and consultants scholars. These are practicing academicians & PhD holders from top Universities with 20+ years of average work experience, 75+ patents & 300+ research papers.
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Dr. Dakshinamurthy KolluruM.S. and Ph.D. in Material Science and Engineering from Carnegie Mellon University, USA | B.E. in Metallurgical Engineering from NIT Trichy, India -
Dr. Manoj DusePh.D. in Industrial Engineering from Oklahoma State University, USA | M.S. in Industrial Engineering from NITIE Mumbai, India -
Dr. Brinda SampatPhD
M.Sc. (IT), UGC-NET
Assistant Professor, NMIMS – NGASCE -
Prof. Anuradha SharmaMasters in Applied Statistics from Bowling Green University | Bachelors & Masters in Statistics from Lady Shri Ram College, New Delhi -
Dr. L. Srinivasa VaradharajanPh.D. in Physics from University of Missouri–Rolla, USA | Masters from IIT, Madras | Bachelors from University of Madras, India -
Dr. Venkatesh SunkadPh.D. in Electrical Engineering from the University of Colorado, USA | M.S in Electrical Engineering from The University of Texas at Arlington, USA -
Prof. Ashwin GanesanM.S. in Electrical Engineering, University of Wisconsin at Madison, USA | B.S. in Electrical Engineering, Marquette University, Milwaukee, Wisconsin, USA -
Dr. Anand NarasimhamurthyPh.D. and M.S in Computer Science and Engineering from Penn State University, USA | BE in Electronics and Communications Engineering from Bangalore University, India -
Dr. Anand JayaramanPhD from University of Pittsburgh,B.Tech from IIT -
Dr. Suryaprakash KompalliMS and Ph.D. in Computer Science and Engineering from State University of New York Buffalo, USA
Career Options
Post completion of the course participants can advance their careers in roles as Data Scientists and Machine Learning Scientists with data driven companies like Amazon, LinkedIn, Google among many others.
Career Assistance
- 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.
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