About NMIMS's - M. Tech Data Science and M. Tech Artificial Intelligence

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Website
Employees
Employees
1-10 employees View all
Industry
Industry
education management
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As you know interest in Business Analytics and Data Science is becoming a buzz-ward now-a-days and interest for corporate is ever increasing on these topics for sustaining and increasing day-today business and startups.We have started a full time Program leading to M Tech degree in Data Science and Business Analytics (4th batch have taken admission). Please find the course outline and detail syllabus for your reference at http://engineering.nmims.edu/academics/programmes/b-tech/data-science.I think this is a course launched in India for first time, though similar courses are available abroad. However, we have made this course even stronger by incorporating various tools namely R, R Studio, Tableau, SAS, SPSS, Python etc., which are not offered in a bundle by any of the universities worldwide.We also have started B. Tech Data Science, a program which is launched first time in India any any Indian university.Program Objective and outcome: Training our students to be leaders in business data management process and business analytics approaches Providing our students with experiential learning and project management with industry exposure opportunities using live data sets for analytics, application and problem solutions Formulate context-relevant questions and hypotheses to drive data scientific research Identify, obtain, and transform a data set to make it suitable for the production of statistical evidence communicated in written form Build models based on new data types, experimental design, and statistical inference Strong understanding of various Business Analytics tools like R, R Studio, Tableau, SPSS and SAS to achieve Business Problem solving skill. Exposure to all these above tools helps students to settle down in their professional career right away in industry.  Strong fundamentals in Big Data Technology Concepts of Visual Analytics and decision making

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