Top 20 Institutes for B. Tech in AI in India
Many confuse Artificial Intelligence (AI) with fantasy. However, in reality AI as a technology is more than anything fictional. This new age tech impacts our lives and brings practicality and convenience to consumers’ routine. It is a technology that helps in analyzing a huge amount of information to make quick, smart, and accurate around-the-clock decisions enabling businesses to grow and achieve goals. It optimizes the interaction of humans with machines and vice-versa. Artificial intelligence empowers organisations to complement and augment human capabilities and not replace them. It is more like humans having a superpower.
Every time your smartphone gets unlocked through face recognition, or smart assistants follow your voice command, or Amazon, Flipkart, Netflix make personalized recommendations – know that AI is at work. With the rise of digital transformation and automation, AI has transformed each and every industry sector.
What is AI?
AI is a branch of study where a computer (or a software system) develops the capability to do complex tasks, which usually require human intelligence such as visual perception, speech recognition, decision-making, and translation between languages. AI is related to solving things easy for humans but hard for computers. AI, a larger sub-sector of Computer Science, aims at creating intelligent machines to recognize human speech, detect objects, solve problems and learn like humans.
With all the buzz around AI, a career in this field is fast becoming a coveted dream. In this article we will discuss all possible cogs of building a career in AI.
Those keen to build a career in AI, must be well acquainted with the related sub-domains including – NLP, ML, Robotics, etc. Let’s go through them briefly.
NLP, Computational Linguistics & Computer Vision
While we write and read text-data in different languages, AI does it by Natural Language Processing (NLP), which deals with the application of computational techniques to analyze and synthesize natural language’s text and speech. Google Assistant, Siri and Alexa are examples of NLP.
Again, we communicate with others using natural language. While in NLP, it is done by the field of Speech Recognition. Most of the NLP techniques follow statistical approaches to learn and understand the natural language and hence it is called Statistical Learning.
Another important thing to understand is that NLP is closely related to Computational Linguistics. It is an interdisciplinary field that leverages know-how of different domains like linguistics (the study of languages), psychology and computer science. Computational linguists build computer systems that deal with human language.
Then again our vision works through our eyes and brain in which the later processes the information it gets from the former. In AI, this is possible because of Computer Vision which endows computers with high-level understanding of digital images or videos. Computer vision deals with automatic extraction, analysis, and understanding of useful information from a single image or a set of images.
Moreover, we recognize things around us through our eyes which capture images. In AI, this is taken care of by the field called Image processing.
Deep Learning, ML and AI
A general understanding goes that Machine Learning (ML) and AI are similar domains. But, in reality they are not quite the same. While ML is more about making predictions on the future, AI characteristically focuses on programming computers to make decisions. In simple terms ML is a computer’s ability to do something that it wasn’t programmed to do.
It is through our senses and limbs that we assess our surroundings and move. In AI, all this is done by something called Robotics. This field is about the study of creating intelligent and efficient robots. Robots are artificial tools performing various tasks in the same way as humans do.
Major Applications of AI
- Banks and Financial Services
- Travel and Hospitality
- Education and Online Learning
- Healthcare and Medicine
- Renewable Energy and Sustainability
Making a Career in AI
In order to build a career in this field, you should do a Bachelor’s degree in Computer Science, Mathematics, or Engineering. Moreover, advanced degrees (MS or Ph.D.) in AI or related fields (Machine Learning, Computer Science, Robotics, Data Science, etc.) will play a critical role in your career graph.
Domain knowledge required
- Advanced maths, including probability, statistics, algebra, calculus, logic, and algorithms
- Bayesian networking or graphical modeling, including neural nets
- Computer science, programming languages and coding
- Cognitive science theory
Top 20 Institutes for B Tech in AI in India
Experts in the field are of the opinion that opting for a micro-specialized field like AI at the Bachelors level is not imperative. They recommend pursuing a broader field like Computer Science, Mechanical Engineering or Mathematics after plus two.
But if you have set your mind for it, consider the following institutes in India:
1. Indian Institute Technology, Hyderabad
Admission is through IIT-JEE Advanced.
Fee is INR 1.15 lakh for full course.
2. Chandigarh University, Chandigarh
Admission is through an entrance exam taken by the university.
Eligibility: 10+2 science with Physics and Mathematics as combination along with any of the following two subjects – Chemistry / Biotechnology / Computer Science / Biology and securing minimum 50% marks (45% in case of candidates belonging to SC/ST category) in the aggregate.
Fee is INR 80,000 per semester.
3. Indraprastha Institute of Information Technology, Delhi
Admission is through JEE, JAC and Direct Admission Test.
Fee is INR 1.8 lakh per semester.
4. Great Lakes International University, Sri City (Andhra Pradesh)
Admission is through the GLUE test and SAT Score > 1200 or Qualify JEE Mains.
Eligibility: You have to secure 70% marks in plus two boards.
Fee is INR 14.22 Lakhs for full course
5. SRM Institute of Science and Technology (SRM IST), Chennai
Admission is through university level counselling based on the rank obtained in SRMJEE (UG). Those who qualify in JEE Mains will be admitted directly even if they don’t take SRMJEEE.
Eligibility: 10+2 science with Physics, Chemistry, Mathematics as combination. Candidates must secure 50% in these subjects in plus-two boards.
Fee is INR 10.10 lakh for full course.
6. Vellore Institute of Technology, Bhopal
Admission is through scores of VITEEE 2019 followed by counselling.
Eligibility: Candidates appearing for VITEEE should secure 60% aggregate in Physics, Chemistry, and Mathematics in plus two boards. The average marks obtained in the subjects Physics, Chemistry and Mathematics (PCM) in plus two put together should be 50% for SC/ST & North-Eastern States candidates.
Fee is INR 7.92 lakh for full course.
7. DY Patil International University, Pune
Admission is through JEE Main.
Eligibility: Candidates must pass plus two with Physics and Mathematics as combination subjects along with any one of the following – Chemistry/Biotechnology/ Biology / Technical Vocational Subject. They must secure a minimum of 45% in the above subjects taken together (40% in case of candidates belonging to the reserved category). Or they must have passed Diploma (in Engineering and Technology) examination with at least 45% marks (40% in case of candidates belonging to reserved category)
Fee is INR 2.1 Lakh per year.
8. University of Petroleum and Energy Studies, Dehradun
Admission is through UPESEAT (UPES Engineering Aptitude Test) or Cut off: 60 percentile score JEE Main
Eligibility: Minimum 60% marks at both 10th and 12th boards and at least 60% aggregate in PCM at plus level, together with JEE Score. minimum 80% aggregate in PCM at senior secondary level (12th class)
Fee is INR 12-13 lakh for full course.
9. Jain University, Bangalore
Admission is direct.
Eligibility: Qualify plus two boards with Physics and Mathematics as combination and Chemistry / Computer Science / Electronics as one of the subjects; securing minimum 60% marks (55% in case of SC/ST category) in the above subjects taken together.
Fee is INR 6.40 lakh for full course
10. GH Raisoni College, Nagpur
B Tech in Artificial Intelligence has 60 seats, higher than that of IIT H and the institute follows a Centralized Admission Process.
Fee is INR 1.6 lakh per year.
11. Sri Ramaswamy Memorial Institute of Science and Technology (SRM) University, Sonipat
Admission is through a test conducted by the institute.
Eligibility: Candidates must qualify plus two boards with PCM as main subjects securing at least 50% aggregate marks. Candidates with a valid SRMJEEE/ SRMHCAT/ NEET/ IPU CET/ JEE Main score are eligible to apply directly for admission to the B Tech program.
Fee is INR6.50 lakh for full course.
12. Sharda University, Greater Noida
Admission is through SUAT (Online Test) Followed by Personal Interview/ JEE All India Rank up to 3 Lakh/ UPSEE All India Rank upto 50 000.
Eligibility: Candidates must qualify 10th board with-60% marks and plus two boards with 70% marks (Aggregate), having at least 60% marks in PCM Computer Science without a gap between 10th and 12th. Minimum 50% marks in Maths is mandatory.
Fee is INR 1.8 lakh per year.
13. Quantum University, Dehradun
Admission is through B Tech – Q-Care/JEE (Main) 2019
Eligibility: Candidates must qualify plus two boards with Physics and Mathematics as combination and Computer Science (IT) /Biology/Biotechnology/Chemistry as one of the subjects, securing at least 55% marks.
Fee is INR 5.70 lakh for full course.
14. Sage University, Indore
Admission is primarily on the basis of Joint Entrance Examination JEE. However, direct admission is available for XII Std Board Toppers. Merit Based Counselling is conducted on the basis of JEE (Mains); All India Rank (AIR) followed by 12th Std percentage in PCME / PMBE / PME Comp.
Eligibility: Minimum 60% marks in 10th board and aggregate 60% marks in plus two boards and at least 60% in Physics Chemistry Maths.
Fee is INR 1.25 lakh per year.
15. SVVV – Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore
Admission is primarily on the basis of JEE Main, SVET.
Eligibility: At least 45 percent in plus two boards is required to apply. Candidates must have Physics and Mathematics as combination in plus two and secure 45 percent in these subjects.
Fee is INR 91,000 per year.
16. Dehradun Institute of Technology (DIT) University, Dehradun
Admission is primarily on the basis of marks secured in JEE-Main Entrance Examination.
Eligibility: Candidates must qualify plus two boards with either – Physics, Chemistry, Mathematics, English / Physics, Mathematics, Biology, English / Physics, Mathematics, English, Computer Science as combinations and secure at least 60% marks.
Fee is INR 10 lakh for full course.
17. Lovely Professional University, Phagwara
Admission is primarily on the basis of LPUNEST or JEE Main.
Eligibility: Candidates must qualify plus two boards with at least 60% aggregate marks and have Physics, Mathematics and English as combination.
Fee is INR 10 Lakh for full course.
18. JK Lakshmipat University, Jaipur
Admission is primarily on the basis of JEE or any other equivalent state level engineering entrance examination. Those who have not taken any national level engineering tests will have to take the JKLU Engineering Entrance Test (EET) to get admission.
Eligibility: Candidates must secure at least 50 percent aggregate marks (45% for SC/ST Candidates), and at least 50% marks in Physics, Mathematics and any one of the four optional subjects – Biology, Biotechnology, Chemistry, Computer Science in plus two boards. Students appearing in the final examination of 10+2 may also apply. Diploma holders (3-year Polytechnic programme) from a recognized Institute, with minimum 45% marks are also eligible for lateral entry into 2nd year of B Tech.
Fee is INR 1.78, lakh per year.
19. Galgotias University, Greater Noida
Eligibility: Candidates must secure at least 60 percent marks in PCM in plus two boards with minimum 40 percent or up to 5 Lakh rank in JEE Mains, or at last 60% marks in PCM in plus two boards for merit based admission.
Fee is INR 1,70,000 per year.
20. CT University, Ludhiana
Eligibility: Candidates must secure 50 percent aggregate marks in plus two boards with English, Physics, Mathematics as combination subjects and any one among – Chemistry/Biotechnology/Computer Science/Biology – as a third subject.
Fee is INR 7.56 lakh for full course.
AI Job Market
It is true that AI has replaced some jobs; however, it has also brought new roles for human workers. According to a research from IDC, released by Salesforce in 2017, AI is all set to create 823,734 jobs by the year 2021, surpassing the number of jobs lost to AI technologies such as machine learning and automation. The report further suggests AI is going to raise global business revenues by US$1.1 trillion in the same time frame. Hence, it is for everyone to see that AI is going to be the game-changer in the global economy, with much of the value potential up for grabs.
On the other hand, rapid digital transformation of industries has created massive demands for a workforce skilled in AI. Available data and reports point towards a substantial shortage of AI talent in the market.
Popular Job Roles for AI Experts
- Software Developer
- Data Scientist
- Machine Learning Engineer
- Research Scientist
- Data Architect
- Business Intelligence Analyst
- Salaries in the AI Domain
Armed with advanced skills in AI you can be sure of a highly attractive pay package, more so as there continues to be serious dearth of professionals in this space.
In India, the median annual salary of AI professionals is Rs. 14.3 Lakhs. In the US, top AI researchers make more than a million dollars (as salary) per annum.
Great time to build a career in AI, don’t you say?
If you are interested in learning more about careers and college admissions regarding B. Tech in AI, Book an online 1-on-1 session with our experienced counselors or please send an email at [email protected]
Author: Baishali Mukherjee
Profile- An independent writer and journalist for last nine years; presently working with Education World, Entrepreneur India, Scrabbl.com and Stoodnt.com. Worked as the content head for four books and have articles and features published in leading print and digital media spaces.
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