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Hi,
As per your query, it seems that you are interested in pursuing undergraduate degree from universities in US.
So regarding that please remember, every university has its own course specific eligibility criteria for admission, in order to know the exact eligibility criteria it would be always advisable to browse through the university's website you wish to apply.
Overall, in order to pursue undergraduate degree from universities in US, you need to be 12th pass from recognized education board, with good academic record preferably 60%-70% in 12th, plus you need to take below mentioned test:
- SAT (1700-1800 plus)
- TOEFL (80-90 plus)
For your reference find below some of the finest universities in US offering undergraduate degree in various fields:
- University of Pennsylvania.
- University of Arizona.
- University of California–Berkeley, and many more universities.
An average tuition fee of a US university is about US$ 30,000 per-year and average living expenses are about US$ 10,000 per-year.The tuition fee and living expenses might be more or less depending on the university and location.
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All the Best.

In statistics, point estimation involves the use of sample data to calculate a single value (known as a statistic) which is to serve as a "best guess" or "best estimate" of an unknown (fixed or random) population parameter.
More formally, it is the application of a point estimator to the data.
In general, point estimation should be contrasted with interval estimation: such interval estimates are typically either confidence intervals in the case of frequentist inference, or credible intervals in the case of Bayesian inference.
Point estimators
minimum-variance mean-unbiased estimator (MVUE), minimizes the risk (expected loss) of the squared-error loss-function.best linear unbiased estimator (BLUE)minimum mean squared error (MMSE)median-unbiased estimator, minimizes the risk of the absolute-error loss functionmaximum likelihood (ML)method of moments, generalized method of moments
Bayesian point-estimation
Bayesian inference is based on the posterior distribution. Many Bayesian point-estimators are the posterior distribution's statistics of central tendency, e.g., its mean, median, or mode:
Posterior mean, which minimizes the (posterior) risk (expected loss) for a squared-error loss function; in Bayesian estimation, the risk is defined in terms of the posterior distribution.Posterior median, which minimizes the posterior risk for the absolute-value loss function.maximum a posteriori (MAP), which finds a maximum of the posterior distribution; for a uniform prior probability, the MAP estimator coincides with the maximum-likelihood estimator;
The MAP estimator has good asymptotic properties, even for many difficult problems, on which the maximum-likelihood estimator has difficulties. For regular problems, where the maximum-likelihood estimator is consistent, the maximum-likelihood estimator ultimately agrees with the MAP estimator.[1][2][3] Bayesian estimators are admissible, by Wald's theorem.[4][2]
Special cases of Bayesian estimators are important:
Kalman filterWiener filter
Several methods of computational statistics have close connections with Bayesian analysis:
particle filterMarkov chain Monte Carlo (MCMC)

In statistics, point estimation involves the use of sample data to calculate a single value (known as a statistic) which is to serve as a "best guess" or "best estimate" of an unknown (fixed or random) population parameter.
More formally, it is the application of a point estimator to the data.
In general, point estimation should be contrasted with interval estimation: such interval estimates are typically either confidence intervals in the case of frequentist inference, or credible intervals in the case of Bayesian inference.
Point estimators
minimum-variance mean-unbiased estimator (MVUE), minimizes the risk (expected loss) of the squared-error loss-function.
best linear unbiased estimator (BLUE)
minimum mean squared error (MMSE)
median-unbiased estimator, minimizes the risk of the absolute-error loss function
maximum likelihood (ML)
method of moments, generalized method of moments
Bayesian point-estimation
Bayesian inference is based on the posterior distribution. Many Bayesian point-estimators are the posterior distribution's statistics of central tendency, e.g., its mean, median, or mode:
Posterior mean, which minimizes the (posterior) risk (expected loss) for a squared-error loss function; in Bayesian estimation, the risk is defined in terms of the posterior distribution.
Posterior median, which minimizes the posterior risk for the absolute-value loss function.
maximum a posteriori (MAP), which finds a maximum of the posterior distribution; for a uniform prior probability, the MAP estimator coincides with the maximum-likelihood estimator;
The MAP estimator has good asymptotic properties, even for many difficult problems, on which the maximum-likelihood estimator has difficulties. For regular problems, where the maximum-likelihood estimator is consistent, the maximum-likelihood estimator ultimately agrees with the MAP estimator.[1][2][3] Bayesian estimators are admissible, by Wald's theorem.[4][2]
Special cases of Bayesian estimators are important:
Kalman filter
Wiener filter
Several methods of computational statistics have close connections with Bayesian analysis:
particle filter
Markov chain Monte Carlo (MCMC)

Well you have to complete BE successfully either you like it or not. If you are not interested in pursuing the same field you can take up Engineering mangement or MBA.
You wanted to study in USA or Singapore. You must do some survey to find out difference in studying in these countries.
if you are ready spend 30 Lakhs INR you can study in USA or Canada and it all two year post graduation degree
If you are ready spend 20 Lakh INR you can study in Australia or Newzeland and it is one and half year program.
If you are willing to soend 10 Lakh INR you can study in UK and it is one eyar program and you can save one year of your life.
In Singapore all the three countries are offering courses accordingly period will change and the cost of education in Singapore you might have to add another two lakh to mentioned figure above.
First decide which country? then decide which course ? then decide which university.

Hi,
Find below some of the finest universities offering course of your interest:
- The University of Edinburgh-UK.
- University of Surrey-UK.
- University of California, San Diego-US.
- Deggendorf University of Applied Sciences (Deggendorf)- Germany.
- University of Kassel (Kassel)- Germany.
Please remember every university has its own course specific eligibility criteria for admission, in order to know the exact eligibility criteria it would be always advisable to browse through the university's website you wish to apply.
Overall, in order to pursue masters degree from universities in US, UK and Germany, you need to have relevant undergraduate degree from recognized university, with good academic record, preferably 60%-70% plus in graduation, plus you need to take below mentioned test.
1. GRE.
2. TOEFL or IELTS.
Please note that universities in UK do not require GRE scores.
Feel free to raise more questions. Appreciate by giving it thumbs up or marking as best.
All the Best.

Hi,
MBA in health care management is a good course to pursue, and it offers good career prospects and excellent growth opportunities.
If you really want to stick to medical field and want to get into medical administration, then MBA in health care management is a good option.
A student with a degree in MBA health care management can find roles in everything from biomedical startups and e-health ventures to consulting and pharmaceutical R&D.
It is not only hospitals which require management professionals there is whole lot of other sectors where they are required:
- Lifestyle clinics.
- Emergency medicine units .
- Pharmaceutical firms.
- Hospital information systems.
- E-health ventures.
- NGOs and health insurance.
- Specialised hospital administration
As health care is a growing field where in lot of development is yet to happen. Upcoming fields in health care like telemedicine, healthcare infomatics, and medical tourism will get a lot of revenue and will open more avenues for Management graduates.
Feel free to raise more questions. Appreciate by giving it thumbs up or marking as best.
All the Best.