Artificial Intelligence/Machine Learning


D Y Patil University offers MTech in Computer Science and Engineering with specialization in Artificial Intelligence/Machine Learning (AI/ML). AI/ML are two of the very close and fastest growing fields in contemporary scenario. AI is inteligence showcased by machines (computers and automation systems) in contrast to the natural inteligence of humans. The major goals of AI/ML is to achieve success in knowledge reasoning planning, machine learning, natural language processing, computer vision, and robotics.





Assistance is provided through either Teaching Assistantship or Research Assistantship with a monthly stipend of 15, 000/- for an all-inclusive period of two years, subject to fulfilling the norms of the Institute. The assistance is provided only if the scholar is not receiving funding from any other source.



Opportunities in AI/ML


Companies like Flipkart, Amazon and Google are offering starting salaries of Rs. 12 - 18 lakhs per annum (LPM) for freshers with AI/ML skills. Companies are offering Rs. 50 LPM for someone with 5+ years of experience and top AI/ML employees enjoy salaries in range of Rs. 1 crore per annum. Salaries for AI/ML experts in USA can reach up to Rs. 5 crore per annum. Bengaluru, Delhi, Mumbai, Pune, Chennai and Hyderabad have the highest number of AI/ML job openings. Number of startups and investments by Venture Capitalists in AI/ML space are growing exponentially. Total investment in AI/ML was about Rs. 4000 crore in 2010, while in 2015, it is about Rs. 25,000 crore. While there were only 100 active startups in AI in 2010, in 2017 there were about 1000 active startups. AI/ML field is growing at a rapid pace, promising higher salaries and better opportunities in future.


How to apply


Please click here to fill the online application form. A few things to keep in mind while filling application form, applicant must select the program as "M. Tech." and must fill all the fields.




All the teaching and research faculties at DYPIU are at least PhD from premier instutes/universities of the national and international repute. Please find the details here.


Course Curriculum



Students will get a chance to put their acquired knowledge to use by starting Thesis in third semester, which will be focus of fourth semester. Following is a table showing the proposed course structure.


Semester I L T P C Hours
Introduction to CPS and Use Cases 3 0 0 6 3
Introduction to Artificial Intelligence 3 0 3 9 6
Bridge Course: CS, ECE, Math 3 0 0 6 3
Soft Skills 2 0 2 6 4
Semester credits       27 16
Semester II L T P C Hours
Advanced AI 3 0 0 6 3
AI System Architecture 3 0 0 6 3
Elective 1 3 0 3 9 6
Elective 2 3 0 0 6 3
Semester credits       27 15
Semester III L T P C Hours
Applied AI: Healthcare/Robotics 3 0 0 6 3
Elective 3 3 0 0 6 3
Thesis I 0 0 12 12 12
Semester credits       24 18
Semester IV L T P C Hours
Thesis II 0 0 26 26 26
Semester credits       26 26

Apply here.



Recommended Background


Applicants are expected to hold a bachelor’s degree in either computer science, electrical engineering or communication systems. Students from other disciplines may be considered for admission if they have sufficient background in the basics of computer science engineering. Preference may be given to students whose backgrounds are in one of the target application areas of artificial intelligence and machine learning. Consideration will be given to students with relevant industry experience. Applicants are encouraged to include hands-on project experience, if any, along with their application.