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Schoolof Science celebrates National Education Day

NMIMSand SAS join hands to propel India's leap in analytics

First issue of “Biomedical Research Journal”released

New Identity of NMIMS : 2013 & Beyond

Certificate Programme in Business Analytics  (Predictive Modelling)

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Program Overview

Business analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.

The employment potential in Data Analytics and Big Data comes in the form of the very highly skilled jobs for data analysts/data scientist’s proficient in areas such as mathematics, statistics, economics, engineering and management science and with the associated IT skills required to mine and analyze the data concerned. Along with the demand for big data, better data, and the need for greater insight into organizations operations comes the need for analytic professionals who can effectively leverage this data to maximize business benefits.

Given this need, SVKM's NMIMS, School of Science, Mumbai in association with SAS Institute India has amalgamated to offer a Certificate Program in Business Analytics comprising of:

  • Statistical Concepts using Case Studies
  • Training on Predictive Modelling using Enterprise Guide and Enterprise Miner.

In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision making for candidate transactions. Thus, School of Science, NMIMS with SAS offers this statistical programme to train the future “data analysts/data scientist’s” so as to propel India’s leap in Analytics.

Program Objective

To align the basics of statistics utility with business objectives by learning statistical concepts. It also covers the skills required to assemble analysis flow diagrams using SAS Enterprise Miner for both pattern discovery and Predictive Modelling 

Who Can Apply?

  • Applicants should have Bachelor's Degree in any relevant discipline or equivalent and a minimum of two years full-time post qualification work experience as on 1st April 2014.
  • For applicants with 0 - 2 years of industry experience, preference will be given to the applicants with graduation in Mathematics, Engineering, Economics , Statistics and Management 
  • For applicants with exceptional qualification and/or industry experience, a relaxation in the minimum eligibility criteria may be considered.
  • Also, executives working in the domain of Business Analytics are especially encouraged to apply.

Duration of Programme: 6 Days 

Dates of the Programme:

1st December 2014 – 6th December 2014

Important things to note

  • Admissions are first come first serve based on the prerequisites mentioned above
  • Application Fees is Rs. 10,000/- (inclusive of taxes) 
  • Last date for applying is 1st November 2014
  • Fee includes tuition fee, course material and food for the duration. Final fee payments are non-refundable.
  • Payment of fees to be paid by demand draft drawn in favour of ‘SVKM’s NMIMS’ payable at Mumbai.
  • Application fees will be refunded to those who haven’t been selected for the programme by 90 working days.
  • Application fees will not be refunded once the applicant has been selected for the programme
  • For further information please refer to the website www.science.nmims.edu
  • Before filling the online form, please read all the instructions mentioned in the instruction sheet and also refer the important dates

Certification

Upon successful completion of this program candidates will be awarded joint certificates from NMIMS and SAS.

Contact Details

For further details and important dates please visit our web site http://science.nmims.edu or contact us on +91 22 4219 9940/43 or email us at mdp.sos@nmims.edu