Statistics in India

I'll mention some of the most common options taken up by students:Many universities offer this course, you can google it. You can apply to Indian universities (DU, IITs, Indian Statistical Institutes, etc.) and foreign universities as well. For foreign universities, you'll have to write an exam known as GRE. You can write management exams like CAT, GMAT, XAT, TISS, etc. With the growing demand for statisticians in the market, Master in Financial Statistics or Master in Data Analytics courses are providing students with a Statistics background and a great scope of professional growth. Many foreign universities are providing these degrees.You can also apply for a Master's in Economics, Mathematics, Commerce, Environment or any other arts field. A Statistics student is eligible to write almost every Masters exam.You can pursue a Bachelor's in Law after completing your Bachelor's in Statistics. Institutes like the Faculty of Law, Delhi University provide 3 years Bachelor's degree in law.You can write other competitive exams for government services as well. UPSC, Bank PO name any. There's a separate service for people with a Statistics background, Indian Statistical Service.

Well, you must have heard that "Data Scientist is the sexiest job in the 21st Century". That alone is a statement enough to give you the idea of why it is a good career option. Although you should choose this career option if you are genuinely interested in this field. You should have some background in programming and keen towards learning & paving your path in Data Science. Do not just consider this field just because it's one of the best options with a very good salary package. Data Scientists play a very important role in the Industry right now with its demand increasing day by day in various fields. Let's look at the use of Data Science in various fields:
Data Mining: Mostly associated with Data Mining, Data Science involves several work-stages, including Data Wrangling, Data Mining and Data Acquisition. Mostly incorporated with Feature extraction and Feature selection, Data Mining is the process of establishing various inferences and relationships between variables in a large data-set. Data Analytics and Data Visualization: Data Analytics and Visualizations is a huge commercial sector under the domain of Data Science. Analyzing Data-points and visualizing it with effective tools like Tableau, D3. Js, etc., is the process incorporated in the same. Machine Learning: The new sensation in the field of AI and intelligent systems, Machine Learning is surely taking technology by storm. Machine Learning is the process of building predictive models or intelligent systems by training it against previous structured data. Business Intelligence: Data Science also has a huge hand in the commercial sectors for financial modelling, risk analysis, credit-generated bank reports, loan allowance predictions, etc. The reasons why Data Science is a great career option for you are:
Demand for Analytic Professionals
Huge job opportunities in the field according to the skills possessed
Great salary
Big Data has huge priority in a lot of companies and organizations
Analytics playing a major role in decision making
Data Science has applications in the very field which is data-driven including Bio-informatics, Medicine Sciences, Mass-Production Systems, BigData Technologies, Cloud Computing, Agriculture, Stock Market, Research in fields of drugs discovery, machine learning and AI. It's a huge market with very few people who are proficient in the same. You can read this article on Forbes which lists out the reasons to why Data Science is a great career option.