NIT Kurukshetra seems to have better placements. it has placed nearly 538 students from UG and PG got placed in 2020. some of top recruiters who visited the campus include, Amazon, Honda,Nestle, Bharat Petroleum, Airtel, Pepsi, Paytm, Microsoft, Hero, Coco Cola, Goldman Sachs, Flipkart, Indian Oil and etc,. hence it is better to choose this institution as it has better placement options.

Dear aspirant,

As you have secured 95.35 percentile in cat 2021 and considering you are from obc category let me tell you that it's a bit difficult to get into the BLACKI iims because their cut offs are higher. Even if you get a call then you should be well prepared for the interview.

However various factors are considered while deciding the cut offs like number of candidates appearing in the examination, number of vacant seats in college, previous years cut offs and difficulty level of the paper.

For more information you can check out the link given below-

https://bschool.careers360.com/cat-college-predictor

Hello student,

Both of the specialization that you have mentioned are good and both are quite a lot in demand. The decision lies in what you are interested in and what is your passion among these 2. Data science is the field of handling, sorting, managing and accomodating efficiently all the data that is processed and collected for further better analysis and research uses. AI and ML is for the robotics and the artificial brain and sensored aspects of the industry which includes building self working model of robots used for various purposes

I hope this helps, All the Best!

Hello Candidate

yes , you can do B.TECH after iti . In order to be eligible for pursuing B. Tech after ITI one must follow a proper plan. After the ITI course, the student can pursue a diploma course through lateral entry, which will take three years to complete. The second step is to sit for JEE Advanced after completing the Diploma course, after which the student is eligible to get admission in the IITs. If this method does not work, then students can use the lateral entry scheme in state engineering colleges.

To get the detailed information go through the link provided by career360

https://engineering.careers360.com/articles/b-tech-after-iti

Hope this information helps you.

GOOD LUCK!!

Hello,

You have not mentioned your category assuming that you belong to general category  considering the previous year cut off here is the list of institutes in which you have chances of getting seat in Computer Science Engineering

• H.K.B.K.College of Engineering Bangalore
• Sri Sairam College of Engineering(Formerly Shirdi Sai Engg) Anekal,Bangalore
• Vivekananada Institute of Technology Bangalore
• Vemana Institute of Technology Bangalore
• K N S Institute of Technology Bangalore

Cut off changes every year depending on total number of candidates appeared, difficulty level of examination and total number of seats available etc. To check the previous year cut off click on the link given below https://engineering.careers360.com/articles/kcet-cutoff

To know the colleges in which you have chances of getting seat you may use our KCET college predictor tool

https://dqxeclau.top/kcet-college-predictor

Hello Student,

The IT Industry is a booming sector. After obtaining a degree in CSE, You can expect handsome salary packages in government as well As Private Sector. IT Sector is the Higher Salary Provider Sector. A fresher can get the initial package of 2 Lakh per Annum to 3 Lakh per Annum in India.

Salary of a Cardiologists depends upon several factors that includes experience, sub specialty, location, ability and the type of hospital you are working for. Salary in government hospital is different from private one. In Private sector, a cardiologist can expect an average monthly salary of Rs. 1 Lac. A Reputed cardiology surgeon earns the salary of around 1.5 lacs. In US, specialties of this field earns an average of $461,000.  A Health Affairs report showed the demand for cardiologists will increase as much as 18 percent annually between 2013 and 2025 amid the aging population and growing disease burden in the U.S.

I hope it helps.

Thank you!

Hello,

To begin with, it is impossible to compare the two realms in order to determine which is superior — exactly because they are two distinct fields of study. It's the equivalent of contrasting science with the arts. However, the clear popularity of data science nowadays cannot be denied. Almost every industry has turned to data to help them make better business decisions. Whether it's for performance analysis or device data-powered plans or apps, data has become a vital element of enterprises. Machine Learning, on the other hand, is still a developing field that has yet to be accepted by a few businesses, implying that ML technologies will become more in demand in the near future. As a result, specialists in both of these fields will be in high demand in the future.

Because Machine Learning and Data Science are so intertwined, a fundamental understanding of both is essential to specialise in one of the two fields. To begin with Machine Learning, however, understanding of data analysis is necessary in addition to data science. Understanding and cleaning data before using it to create ML algorithms necessitates learning computer languages such as R, Python, and Java. Tutorials on these programming languages, as well as basic data analysis and data science ideas, are included in most Machine Learning courses.

Data Scientists or Machine Learning Engineers make greater money.

Data Scientists and Machine Learning Engineers are both in high demand in today's industry. When it comes to entry-level positions, data scientists appear to make more money than Machine Learning engineers. For entry-level positions in data science, the average income is more than 6 LPA, whereas for Machine Learning engineers, it is approximately 5 LPA. Senior specialists, on the other hand, make almost the same amount in both disciplines, averaging approximately 20 LPA.

Hope this helps.

Hello,

The cut off varies every year. Based on the previous trends I will try to help you with this question. Generally XIMB-HR requires NMAT score in between 190 to 200 and VA scores in the range of 88 or above.

You need to check your sectional cut off too. You should have sectional cut off of 88/80/80 for VA/QA/LR.

Career360 has a very effective tool to predict your college based on your percentile-

https://bschool.careers360.com/nmat-college-predictor