Amity University | B.Sc Admissions 2025
ApplyRanked amongst top 3% universities globally (QS Rankings)
Total Fees 4.50 L | Seats 60 |
₹ 4.50 L
MODE
Full timeDURATION
24 MonthsStatistics is a rapidly expanding discipline in the era of data clouds and data lakes. Statistical methods can be used to derive meaningful insights from data. Statistics plays a crucial role in decision making under uncertainty. Statistics deals with many aspects of data and is an essential pillar in data science. Statistics and Data Science can provide insights into complex data in scientific discovery and industrial problems. Department Statistics Sunanadan Divaitia School of Science, NMIMS (Deemed to be University) has merged traditional Maters course in Statistics with Data Science courses: Data Management, Machine Learning, Deep Learning, and Big Data Technology. The need for data analysis in the industry in this computer age has made Statistics a critical application. There are openings for Statisticians in practically all enterprises and service sectors. However, there is a lack of Statisticians. There is a need to develop highly skilled Statisticians or Data scientists to fulfil the industry's demands.
Considering this scenario NMIMS (Deemed to be University), which is known for its dynamism and flexibility in designing courses to suit the need of the hour, now has a unique Masters Programme in Statistics & Data Science, under the Department of Statistics, Sunanadan Divaitia School of Science.
Duration -
M.Sc. (Statistics & Data Science) is a two-year full-time program spread over four semesters, including an Industry Project in the last semester.
Candidate must hold a Bachelor of Science degree in Statistics from any recognized University / institute with a minimum of 60% aggregate marks or equivalent grade.
Merit list will be based on the combined score of written test & Personal Interviews.
Ranked amongst top 3% universities globally (QS Rankings)
Admissions open for BA/BSc. Liberal Arts (Honours) & BA / BSc. Liberal Arts (Honors) with Research
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