Hi Aspirant.

Considering your category to be SC and rank to be 115867 , here are the colleges where you may expect:

AI and ML

• PES Institute of Technology and Management (PESITM)
• Sai Vidya Institute of Technology
• Sahyadri College of Engineering and Management

CSE

• ACS College of Engineering
• Bearys Institute of Technology (BIT, Mangalore
• Impact College of Engineering and Applied Sciences
• City Engineering College (CEC, Banglore)

I used this KCET College predictor: https://dqxeclau.top/kcet-college-predictor?utm_source=qna&utm_medium=ini-cet_cp

For expert guidance from Careers360 , refer here, https://dqxeclau.top/btech-companion/order-summary?icn=companion_order_summary&ici=companion_btech_dashboard

• Hope this helps. Thanks .

[Note: These are predictions from previous years' data. This year's cutoffs have not been released yet.]

[Cutoffs and ranks depend on various factors like:

1. Number of Candidates.
2. Performance in exam.
3. Difficulty of exam.]

Hello student
ML and AI are complementary, but they target different goals.

AI has a very specific purpose of building an intelligent agent that can take rational decisions under various different circumstances. By its very nature, the intelligent agent needs to interact with environment that were built for humans and hence must be capable of human-like capabilities i.e reading natural language text, understanding speech, recognizing different objects etc. The application focus is something like, a robot capable of automatically identifying and fixing issues that can occur in a nuclear reactor or a robot capable of self navigation, experimentation and reporting "interesting" observations during extra planetary missions etc. From these application, we also get some higher order AI problems. For example, a robot self-navigating a planet, needs to plan and chart its course from point A to point B or a robot that is attempting to fix a leak in a nuclear reactor needs to identify the set of task to perform so that the leak is fixed.

The goal of ML is to assimilate known knowledge in an abstract form called models, and be able to predict certain unknowns for instances that will be seen in the future. For example, in an email spam classification task, the goal is to learn a model from a known set of emails that have been labeled as spam or not spam and be able to predict whether the new email that we just received is spam or not spam. Classification is just one concrete instantiation of ML goal. Clustering can be thought of as predicting cluster variables for future instances and Regression can be thought of as predicting function values for points that haven't been observed so far etc.

AI with its very specific application focus can use tools built in ML to achieve its goals. However, ML serves a much broader class of problems.

With these in mind, what you want to start from is entirely upto you. For example, if you want to build planet-navigating robots then you probably need to start from AI, learn about the various interesting problems involved in AI, see what kind of ML tools you will need to learn, come to ML learn those tools and go back to AI. However, if your interest lies in building the ML tools that serve a fairly broad class of problems many of which are relevant in the real world today [1], then you may want to start learning ML first.

Note that, both ML and AI are vast fields with many things to learn. Even though I suggest switching from ML to AI and AI to ML, it is not as easy as it might sound :-). Unless you know what you want to learn and how you plan to use it, you might be aimlessly going into and learning things, that may or may not be relevant to what you might want to do. Not that it is wrong, but, as humans, we have very limited time and we need to use it as efficiently as possible.

[1] From a research perspective, researching in ML can get you funds. From a job perspective, many people are hiring folks who have reasonable understanding in ML and can use various tools like weka, libSVM etc.

Hey student,

Engineering in Artificial Intelligence and Data Science is a four years undergraduate course that deals with core technologies like Machine learning, Artificial Intelligence, Data warehouse, Data mining, Scripting language, Product development, Mathematical modeling.

Since you have not mentioned any college I'm going to  answer in general.

B. Tech in Artificial Intelligence and Data Science Highlights

Course level -Undergraduate

Average Fee50,000- 1,50000 yearly

Average Salary4 lakh to 6 lakh annually

Admission CriteriaBased on merit and entrance exam.

All the best student,

Hope this helps you.

https://dqxeclau.top/courses/b-tech-in-artificial-intelligence/amp

Hello Aspirant,

I hope you are doing well

So, the best colleges for Msc Data Science across all over the India are

• Vellore institute of technology- Cousre fee is 1.6 lakhs
• Christ University, Bengaluru- Course fee is 1.8 lakhs
• Jain University, Bengaluru - Course fee is 2 lakhs
• Chandigarh University- Course fee is 1.2 lakhs
• Loyala college, Chennai- Course fee is 1.7 lakhs

Further you have asked about the entrance exams for Msc Data Science. So some of entrance exams are:

• IIT JAM
• ITM NEST
• IPU CET

You have to score atleast 50% or more marks in these entrance exams to get admission in a reputed college

Hello Aspirant,

Hope you are doing great. Although artificial intelligence may be challenging to learn, if you have the right tools, you can succeed in the field. Since the field of AI is constantly evolving, begin by laying a solid foundation and continue honing your skills with advanced online courses. The idea that data science is difficult to learn is primarily held by newcomers in their early stages. As they learn more about the distinct field of data science, they realize that it is just another subject that can be learned by putting in a lot of effort. The technical expertise in data science. Data scientists need a variety of "hard skills" that call for specialized training and education in order to formulate sound research questions, create strong analytical models, and effectively analyze the findings.

ALL THE BEST

Dear aspirant,

the jobs you'll get after doing Artificial intelligence and Data science is dependent on your skillset and how well you are trained in a particular field.

I'll list a few areas where you have a really good prospect of getting a job.

1. AI has really good applications in cybersecurity.

2.  Big data engineer

3. Data scientist

4. If you are interested in research you can become a statisticians and mathematician

5. With the background you can become a marketing analyst

The scope of jobs are vast in DSc and AI.

Hope this helps.

Dear Student,

Let’s see the eligibility criteria for mtech -

Eligibility Requirements :

For this reason, candidates should first pursue an MSc in their respective fields before applying to an MTech programme. BSc candidates typically graduate with a 3-year course degree, which is insufficient to be eligible for admission into a Master's programme. Below are the requirements that a student must fulfil before submitting an application for an MTech degree:

• Candidates must have earned a minimum of 50% to 60% on their BSc and MSc exams, or a C.G.P.A. of 6.0 or higher, if the BSc was earned over a three-year period.
• Candidates are able to apply immediately for an MTech degree if they have successfully finished their bachelor's degree with four years of coursework.
• Candidates who meet the requirements must take the standard national or institute-level entrance tests.
• The UGC (University Grants Commission), along with the course the students chose, shall recognise the university or college from whence the graduates came.

Process for Admission to MTech after BSc

• However, in order to be eligible to apply for the degree, students must pass the national-level entrance exam GATE. The admission process for MTech courses varies from university to university. The following list of important considerations for applicants to keep in mind when they consider applying to an MTech programme.
• For students to qualify for an MTech degree, they must take the GATE exam and select the proper field of study.
• The candidates must pass the admission tests in order to apply to various colleges based on their scientific specialties.
• For consideration for entrance into a reputable company, candidates must successfully complete any personal interview rounds.

More read - https://dqxeclau.top/courses/data-science-course

Hope this information helps you.

Fore sure, yes. Indian Institute of Technology Madras is a recognized education institute and the online BSC in Data Science program that it is offering also has a wide acceptability. Once you complete the course you are done with your bachelors, and so you are automatically eligible for your masters. So yes, you can do masters or MTech after online BSc from IIT Madras!

Hope I have answered your question. All the best!

See this is a very subjective question as the Data Science industry is booming like anything in the current scenario and in such a case getting into the online program of Indian Institute of Technology Madras in Data Science is a good way for tapping into the huge potential of the current job market.

However it is also true that you won't be getting an Engineering degree and many people would not take an Online degree seriously. The best way is to take admission into a tier 3 college and keep your IITM data science program running along with it.

You can also use our college predictor to see your chances in all the colleges:
https://engineering.careers360.com/jee-main-college-predictor?icn=QnA&ici=qna_answer

Hope I have answered your question. All the best!

See you may not be eligible for the MSc in Data Science course in most of the colleges, because in most of the institutes, the eligibility criteria suggest that the student must have done BSc in Computer Science, BCA, Physics with Mathematics/Statistics as one of the electives. So you aren't eligible for the MSc Data Science course in most of the institute.

Now in case of MCA, the student need to have done graduation in any stream with Mathematics as a compulsory subject (this is in general the eligibility criteria for most colleges, although some institutes may mention specific subject combinations as eligible streams). So if you have Mathematics in your graduation, then you are eligible for MCA.

Best Institutes for MCA are provided below-

https://it.careers360.com/colleges/list-of-mca-colleges-in-india

For more information regarding MCA as a career consider the link below:

https://dqxeclau.top/courses/mca-master-of-computer-applications

I hope this helps. Wish you a great eve!