Visit SIU Website

Academics


M.Tech (Artificial Intelligence and Machine Learning)

Dr. Shruti Patil

Dr. Shruti Patil
Phd(Computer Science), Head (Department of AI&ML),
Research Associate (SCAAI), Associate Professor (CS&AI)

Overview

Department of AI and ML in collaboration with Symbiosis Centre for Applied AI ( SCAAI) offers, program in M.Tech in Artificial Intelligence and Machine Learning with an intake of 30 students. The primary aim of this centre is to spearhead the advancement and novel developments in various application areas and promotion of the advanced research and education in the field of Artificial Intelligence.

The department has very competent faculty to teach specialized courses and elective courses like Explainable AI, Generative Adversarial Networks, Multimodal AI and so on.
The department is also collaborated with Tech Mahindra (Makers Lab) for conducting specialized modules in Natural Language Processing , Computer Vision and also for research projects and internships.

M.Tech AI/ML Entrance Exam details

M.Tech (Artificial Intelligence and Machine Learning)

Intake: 30

Duration: 2 Years


If you have more queries regarding the course, you may connect with us via this Form

Click Here to fill the Form

Program Highlights

  1. Flexi credit Courses
  2. Six month internship
  3. Industry collaboration
  4. Global Immersion Program
  5. Special Diploma in Business management
  6. Mentor- Mentee System and remedial teaching
  7. Academic Curricula benchmarked with International Universities
  8. Service learning activities
  9. Industrial visits, Workshops, Technical events, Guest lectures
  10. Learn Foreign languages
  11. Tinker Lab
  12. Best in class infrastructural facilities
  13. Specialized Lab in AI, ML and data Science
  14. Creative Thinking, Critical Thinking, Design Thinking, Entrepreneurship courses

The department has state of art computing facility as

  1. High performance computing lab with Nvidia GPU
  2. Data Analytics lab
  3. IOT research lab
  4. Computer Centre with machines in high configuration and licensed software required for teaching and research.
Departmental Brochure



Apply Now

https://siu.ishinfo.com/MTECH23/Register/Index.aspx



Department’s ongoing research and consultancy:


Dr. Ketan Kotecha, received, DUO- INDIA Professor fellowship under Asia - Europe Meeting (ASEM-DUO) with Brunel University, UK, 2020

Dr. Ketan Kotecha received, two Research grants worth INR 1.66 crores under Promotion of Academic and Research Collaboration(SPARC) scheme by MHRD, Govt of India, in collaboration with Arizona State University USA and University of Queensland, Australia

Dr. Sharnil Pandya received funding of 15,24,000 INR from DRDO for Ablation Studies on Reentry Capsule with Strong Coupling to flow dynamics (Parallel Computing using Python MPI libraries and building a supercomputer using Raspberry Pi) [On-going as CO-PI]

Prof Prachi Kadam received grant of 10 lacs for building and leveraging indian food image data set for Calorie Calibration of Indian dietary

Prof Vijayshri Khedkar  received grant of 10 lacs for Machine Learning Based Vibration Response Analysis of different Plates using Cymatics.

Graduate Attributes

GA 1

Scholarship: research, inquiry and lifelong learning

GA 2

Global citizenship: ethical, social and professional understanding

GA 3

Eco-literate: sensitivity towards a sustainable environment

GA 4

Employability: equipped with skills, attributes, leadership and entrepreneurial qualities that society needs; being capable of making a contribution to society through earning a living

PROGRAM OUTCOMES (PO):

Engineering Graduates will be able to:
  1. An ability to independently carry out research /investigation and development work to solve practical problems.
  2. An ability to write and present a substantial technical report/document.
  3. Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor's program.
  4. Devise and apply appropriate techniques and modern engineering tools to complex engineering activities with an understanding of its limitations.
  5. Recognize the need for and an ability to engage in lifelong learning to keep oneself abreast of the knowledge to be competent.

Program Specific Outcomes (PSOs):

  1. To apply the concepts of Artificial Intelligence and Machine Learning with practical knowledge in analysis, design and development of intelligent systems and applications to multi-disciplinary problems.

  2. To provide a concrete foundation to the students in the cutting edge areas Artificial Intelligence and Machine Learning and excelling in the specialized areas like Natural Language Processing, Computer Vision, Reinforcement Learning, Internet of Things, Cloud computing, Data Security and privacy etc.

Eligibility

Passed Bachelor’s Degree or equivalent.
Obtained at least 50% marks (45% marks in case of candidates belonging to the reserved category) in the qualifying examination

Reservation Policy for all program
I. Within the sanctioned intake a) SC (In Percentage) b) ST (In Percentage) c) Differently abled (In Percentage) d) NRI (In Percentage)
  15 7.5 3 5
II. Over and above the sanctioned intake a) Kashmiri Migrants (In Seats with a maximum of 10 seats in the Institute) b) Foreign National /Overseas Citizen of India /children of the Indian Workers in the Gulf countries. (In percentage per course    
  2 15    

* Subject to AICTE guidelines.


Know about the admission process for M.Tech

https://www.sitpune.edu.in/m.tech-addmission

FAQs

p>
Know about thwe admission process for M.Tech

https://www.sitpune.edu.in/m.tech-addmission

Admission FAQs - M.Tech (Artificial Intelligence and Machine Learning)

1.

What  is intake  for  M.Tech  AI and ML?
 

The Intake for M.Tech AI and ML  is 24 students.

2.

What  are the eligibility criteria for M.Tech  AI and ML ?
 

M.Tech AI and ML  

Engineering Graduate (B.E./B.Tech.) in ANY relevant disciplines of Engineering with minimum four years duration from any recognized University/Institution of National Importance with a minimum of 50% marks or equivalent grade (45% Marks or equivalent grade for Scheduled Caste/Scheduled Tribes)

3.

What are  Infrastructure facilities  available for AI and ML ?
 

GPU-  DGX (DL WS P2587 4V100/256GB 32G) Server 

HP IDS Z8 G4 Workstation G4 90 1125W APJ Chassis

4.

What  are  courses offered  for  M.Tech AI and ML ?
 

Please refer to the programme structure section from the website.www.sitpune.edu.in

5.

What  are employment opportunities after completion of  M.Tech  AI and ML ?
 

There are huge opportunities for different positions after successful  completion of  undergraduate and postgraduate programmes. Some of these opportunities are listed here


a)           Data Engineer

b)           Data Analyst

c) Business Analyst

d) Machine Learning Engineer

e) Deep Learning Engineer

f) Data Scientist

g) AI Scientist

6. 

Any prior knowledge of statistics and mathematics required for learning  Machine and deep learning?
 

No. We have incorporated the basics concepts of statistics and mathematics required for learning  Machine and deep learning.

7.

Any  Industry Collaborations for M.Tech AI and ML ?
 

Yes. We are in collaboration with Tech Mahindra (Makers Lab) for conduction of few courses. Collaboration with other companies is also in progress.

8.

What  are the possibilities of a placement in a good MNC company?
 

Symbiosis institute of technology is associated with eminent companies such as google, microsoft, amazon, and many more. So students have very good opportunities to get placed in such companies for their bright future endeavors.

9.

Will contemporary technologies such as IoT, CyberSecurity be covered along with AI-ML courses?
 

In the given curriculum, we have given opportunities to students to stream themselves or acquire the specializations in various areas such as  Embedded-AI(AI + IoT), Cyber Physical Systems(IoT + AI + Security), etc.

10.

Why are Artificial Intelligence technologies the talking point in the world today?
 

In ancient times, devices such as desk computers were not capable of doing high-level computations which were required to run machine learning applications. However, now, along with the availability of machines, these algorithms are capable of doing high-level computations and automate various processes. Furthermore, current algorithms such as chatbots are intelligent enough to handle communication with clients, perform critical tasks, banking transactions, etc.  

11.

What role AI will play in empowering industries?
 

In recent times, with the advent of technologies such as Industry 4.0, Healthcare 4.0, smart cities, smart buildings, etc, AI has a major role to play in changing the functioning of current industries. However, decision making roles will still be handled by humans with the help of AI tools. 

12.

How M.Tech in CS and AI and ML are linked or different from each other?
 

If we talk about software engineering, the sub-problem solutions are correct, however, it is not the same in machine learning — you find errors and the aggregate results can be dismay.

In a  nutshell, the world needs software engineers as much as they need machine learning engineers. Both the job roles need to work symbiotically with each other. Machine learning needs you to have a solid foundation in mathematics and statistics. However, software engineering is usually the default route most people often fall victim of. But the degree definitely prepares you for the bigger picture. Also, being a software engineer does not prevent you from becoming a machine learning engineer. Machine learning engineers think on these lines —space of models, deployment, and the impact.

 In a nutshell, the world needs software engineers as much as they need machine learning engineers. Both the job roles need to work symbiotically with each other.

13.

How would you explain machine learning to a software engineer?
 

Software engineering is about developing programs or tools to automate tasks. Machine learning is all about automating automation! Machine learning is about finding the optimal instructions to automate a task. Machine learning algorithms are instructions for computers to learn other instructions automatically from data or experience. Therefore, machine learning is the automation of automation.

14.

Why is AI a hot topic today?
 

A lot of things have aligned to make this an exciting time for major advancements in AI.

  • Processing power has improved at an amazing rate — there’s been a trillion-fold increase in performance over the last 60 years.
  • The cost of data processing has become more affordable.
  • There’s more data that needs to be analyzed because businesses

 are capturing more signals from customer interactions.

  • Application of AI has already improved consumer apps significantly — leading to further expectations in making life easier,  spurring the need for AI technical knowhow and R&D.

15. 

I have heard about AI.  What is it exactly?
 

Artificial Intelligence (AI) is the concept of having machines “think like humans” — in other words, performing tasks like reasoning, planning, learning, and understanding language. While no one is expecting parity with human intelligence today or in the near future, AI has a big application in our day to day lives. The brain behind artificial intelligence is a technology called machine learning, which is designed to make our jobs easier and more productive.

16.

Am I already using AI?
 

Yes. Almost everyone who has a computer, smartphone, or other smart device is already using AI to make life easier:

  • Siri and Cortana act as your personal assistants using voice  processing
  • Facebook recommends photo tags using image recognition
  • Amazon recommends products using machine learning algorithms
  • Waze suggests optimal driving routes using a combination of predictive models, forecasting, and optimisation techniques

17.

What are the key highlights of  M.Tech in AI and ML?
 
  • Training by Industry
  • Consultancy projects
  • Latest Curriculum
  • Internship 

18. 

How much will be the fees for this course?
 

Please refer to the Admission section--->Related year/ course--->Fee structure from the website.www.sitpune.edu.in

19.

Whether a hostel facility is available?
 

Yes. Please refer to the infrastructure section from the website.www.sitpune.edu.in to view the hostel facilities.

20.

Whether the student will have an internship during this course?
 

Yes.

Programmes Offered