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Once the seat leaving bond is signed by you then if you leave that course, you will be fined and a penalty (generally the whole course fee) is to be paid. Before signing up for a seat leaving bond, you can leave any seat but no transfer of fee will be there. Your documents will be submitted to the college (all original documents) so if you wish to go for another counselling round for any other course, you won't be able to get a seat as you will not have any of your documents for verification and when you will be enquired about the documents, you will have to speak the truth. All this strictness is just because if you withdraw your name in between a process then that seat will be left vacant for upcoming years so to avoid that these restrictions are made. But there's one condition if both the courses are offered to you by the same college and university then there's a slight chance that money can be transferred (only a slight chance of that). .

Hi Sandeep, Students aspiring to pursue this course must have a Master's degree in Law/ Master's degree with M.Phil in Humanities or Social Sciences with degree in Law/ degree in law with Ph.D. in any discipline/ Judge of any State High Court or Supreme Court of India with a minimum three years of experience/ Masters in Taxation and Business Law/ passed Company Secretary by ICSI. The candidates who have cleared UGC NET/JRF, M.Phil and SLET need not give the extra exam conducted by the respective universities for admissions. Course Outlook:
The course generally comprises both full- time and part- time mode. The duration of the full-time course is a minimum of 2 years in the university and a maximum of 3 years for submitting the research articles and publishing in the well-known journal. In case of part-time course, it is a minimum of 3 years in the university and a maximum of 5 years for submitting their research article for evaluation. Thus depending on their performances, the placements are being done.

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.