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Aashish

Aashish Sood  |127 Answers  |Ask -

CAT, Management Expert - Answered on Sep 23, 2023

Aashish Sood is an IIM-Lucknow alumnus who has been teaching maths and quantitative aptitude to MBA aspirants for over a decade.
He also mentors management student hopefuls for the group discussion and personal interview rounds that follow competitive examinations.
He has appeared for CAT seven times since 2016 and scored in the 99.9 percentile.
Sood has 16 years of work experience as a management consultant, strategy consultant and research associate.... more
Asked by Anonymous - Sep 23, 2023Hindi
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My Son is in final year of engineering. We are planning his MS in USA and his main domain is into AI & ML, can you please suggest me which are top 10 Universities in USA for AI & ML

Ans: 1. Massachusetts Institute of Technology (MIT) - MIT has a strong reputation for computer science and AI research, with the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) leading the way.

2. Stanford University - Stanford is known for its contributions to AI and ML, and it offers a variety of research and educational opportunities in these fields.

3. University of California, Berkeley - UC Berkeley is renowned for its AI and ML research, with strong connections to industry in the Silicon Valley area.

4. Carnegie Mellon University - Carnegie Mellon's School of Computer Science is highly regarded for its AI and ML programs, and it has close ties to industry and robotics.

5. California Institute of Technology (Caltech) - Caltech is known for its cutting-edge research in AI and ML, with a focus on both theoretical and practical applications.

6. University of Washington - The Paul G. Allen School of Computer Science & Engineering at the University of Washington is known for its AI and ML research and strong industry connections.

7. University of Illinois at Urbana-Champaign - This university has a strong AI and ML program, with a focus on research and innovation.

8. University of Texas at Austin - UT Austin is known for its research in AI and ML, particularly in natural language processing and computer vision.

9. Harvard University - Harvard has a growing presence in AI and ML research and offers various courses and opportunities in these fields.

10. University of Michigan - The University of Michigan's School of Information and College of Engineering offer programs in AI and ML, with a focus on interdisciplinary collaboration.
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Sushil

Sushil Sukhwani  | Answer  |Ask -

Study Abroad Expert - Answered on Sep 26, 2023

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My son is planning his MS in AI and ML in USA, can you please suggest me which are the best Public and Private Universities in USA for AI and ML domain.
Ans: Hello Sandeep,

Thank you for contacting me. I am certainly happy to learn about your son’s plans on pursuing his Master’s in Artificial Intelligence and Machine Learning in the USA. A few of the USA’s leading public and private universities that I believe are renowned for their robust AI and ML Master’s program and that you should consider have been listed below by me. Each university’s standing and the courses offered by them may have changed, so I recommend that you visit the official website of each university for the most recent information. You could also get in touch with your son’s educational counselors.

State-run or Community Colleges/Universities:
Your son could possibly consider these universities for his Master’s degree:

1. Stanford University
2. University of Michigan, Ann Arbor
3. University of California, Berkeley
4. University of Illinois at Urbana-Champaign, and
5. University of Washington

Universities in USA that are privately-run:
Your son could decide to pursue his Master’s in AI and ML at any of these below mentioned universities:

1. California Institute of Technology (Caltech)
2. Columbia University
3. Stanford University
4. Princeton University
5. Carnegie Mellon University
6. Massachusetts Institute of Technology popularly known as MIT, and
7. Harvard University

Applying to these universities can be cut-throat, and in order to enhance his chances of securing admission to any of these institutions, I recommend that your son should possess an exceptional educational history, along with a compelling personal statement, and recommendation letters. He should also look into the university’s location, and cost of studying at that university when deciding to study there.

To acquire latest knowledge about the programs in Artificial Intelligence and Machine Learning, as well as the university’s faculty members, and prerequisites for applying, I suggest that you browse each university’s official website where you will also get information about the recent rankings. To gain a better understanding of the courses offered, do not forget to contact students who are presently studying at these universities or get in touch with the university’s faculty.

For more information, you can visit our website.

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Sushil

Sushil Sukhwani  | Answer  |Ask -

Study Abroad Expert - Answered on Jan 02, 2024

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Sir, I have completed my B.Tech in artificial intelligence I want pursue my ms in us which University should I prefer.
Ans: Hello Likhitha,

To begin with, thank you for contacting us. I am happy to hear that you have completed your Bachelor’s of Technology in Artificial Intelligence and wish to pursue your MS in the USA. I would like to tell you that a number of variables viz., the location, course curriculum, the research possibilities, as well as the experience of the faculty play a key role in selecting a university to pursue your Master of Science in Artificial Intelligence in the United States. Universities viz., Massachusetts Institute of Technology (MIT), University of California, Berkeley, Stanford University, University of Washington, and Carnegie Mellon University, are well-known for the robust programs in Artificial Intelligence that they offer. Outstanding AI programs along with access to state-of-the-art research facilities, distinguished professors, as well as a robust industry network are provided by these prominent schools. In order to find the one that best resonates with your educational and professional objectives, I would recommend that you look into the course design, as well as factor in their fields of specialization, and the possibility of internships or partnerships with business leaders. Not just that, to make an educated choice, consider other factors viz., monetary assistance, campus culture, and available resources.

For more information, you can visit our website.

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Hello, I am currently in Class 12 and preparing for JEE. I have not yet completed even 50% of the syllabus properly, but I aim to score around '110' marks. Could you suggest an effective strategy to achieve this? I know the target is relatively low, but I have category reservation, so it should be sufficient.
Ans: With category reservation (SC/ST/OBC), a score of 110 marks is absolutely achievable and realistic. Based on 2025 data, SC candidates qualified with approximately 60-65 percentile, and ST candidates with 45-55 percentile. Your target requires scoring just 37-40% marks, which is significantly lower than general category standards. This gives you a genuine advantage. Immediate Action Plan (December 2025 - January 2026): 4-5 Weeks. Week 1-2: High-Weightage Chapter Focus. Stop trying to complete the entire syllabus. Instead, focus exclusively on high-scoring chapters that carry maximum weightage: Physics (Modern Physics, Current Electricity, Work-Power-Energy, Rotation, Magnetism), Chemistry (Chemical Bonding, Thermodynamics, Coordination Compounds, Electrochemistry), and Maths (Integration, Differentiation, Vectors, 3D Geometry, Probability). These chapters alone can yield 80-100+ marks if practiced properly. Ignore topics you haven't studied yet. Week 2-3: Previous Year Questions (PYQs). Solve JEE Main PYQs from the last 10 years (2015-2025) for chapters you're studying. PYQs reveal question patterns and difficulty levels. Focus on understanding why answers are correct, not memorizing solutions. Week 3-4: Mock Tests & Error Analysis. Take 2-3 full-length mock tests weekly under timed conditions. This is crucial because mock tests build exam confidence, reveal time management weaknesses, and error analysis prevents repeated mistakes. Maintain an error notebook documenting every mistake—this becomes your revision guide. Week 4-5: Revision & Formula Consolidation. Create concise formula sheets for each subject. Spend 30 minutes daily reviewing formulas and key concepts. Avoid learning new topics entirely at this stage. Study Schedule (Daily): 7-8 Hours. Morning (5:00-7:30 AM): Physics concepts + 30 PYQs. Break (7:30-8:30 AM): Breakfast & rest. Mid-morning (8:30-11:00): Chemistry concepts + 20 PYQs. Lunch (11:00-1:00 PM): Full break. Afternoon (1:00-3:30 PM): Maths concepts + 30 PYQs. Evening (3:30-5:00 PM): Mock test or error review. Night (7:00-9:00 PM): Formula revision & weak area focus. Strategic Approach for 110 Marks: Attempt only confident questions and avoid negative marking by skipping difficult questions. Do easy questions first—in the exam, attempt all basic-level questions before attempting medium or hard ones. Focus on quality over quantity as 30 well-practiced questions beat 100 random questions. Master NCERT concepts as most JEE questions test NCERT concepts applied smartly. April 2026 Session Advantage. If January doesn't deliver desired results, April gives you a second chance with 3+ months to prepare. Use January as a practice attempt to identify weak areas, then focus intensively on those in February-March. Realistic Timeline: January 2026 target is 95-110 marks (achievable with focused 50% syllabus), while April 2026 target is 120-130 marks (with complete syllabus + experience). Your reservation benefit means you need only approximately 90-105 marks to qualify and secure admission to quality engineering colleges. Stop comparing yourself to general category cutoffs. Most Importantly: Consistency beats perfection. Study 6 focused hours daily rather than 12 distracted hours. Your 110-mark target is realistic—execute this plan with discipline. All the BEST for Your JEE 2026!

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Asked by Anonymous - Dec 12, 2025
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Dear Sir/Madam, I am currently a 1st year UG student studying engineering in Sairam Engineering College, But there the lack of exposure and strict academics feels so rigid and I don't like it that. It's like they don't gaf about skills but just wants us to memorize things and score a good CGPA, the only skill they want is you to memorize things and pass, there's even special class for students who don't perform well in academics and it is compulsory for them to attend or else the student and his/her parents needs to face authorities who lashes out. My question is when did engineering became something that requires good academics instead of actual learning and skill set. In sairam they provides us a coding platform in which we need to gain the required points for each semester which is ridiculous cuz most of the students here just look at the solution to code instead of actual debugging. I am passionate about engineering so I want to learn and experiment things instead of just memorizing, so I actually consider dropping out and I want to give jee a try and maybe viteee , srmjeee But i heard some people say SRM may provide exposure but not that good in placements. I may not be excellent at studies but my marks are decent. So gimme some insights about SRM and recommend me other colleges/universities which are good at exposure
Ans: First — your frustration is valid

What you are experiencing at Sairam is not engineering, it is rote-based credential production.

“When did engineering become memorizing instead of learning?”

Sadly, this shift happened decades ago in most Tier-3 private colleges in India.

About “coding platforms & points” – your observation is sharp

You are absolutely right:

Mandatory coding points → students copy solutions

Copying ≠ learning

Debugging & thinking are missing

This is pseudo-skill education — it looks modern but produces shallow engineers.

The fact that you noticed this in 1st year already puts you ahead of 80% students.

Should you DROP OUT and prepare for JEE / VITEEE / SRMJEEE?

Although VIT/SRM is better than Sairam Engineering College, but you may face the same problem. You will not face this type of problem only in some top IITs, but getting seat in those IITs will be difficult.
Instead of dropping immediately, consider:

???? Strategy:

Stay enrolled (degree security)

Reduce emotional investment in college rules

Use:

GitHub

Open-source projects

Hackathons

Internships (remote)

Hardware / software self-projects

This way:

College = formality

Learning = self-driven

Risk = minimal

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