DescriptionEligibilityProgram StructureFacultyToolsContact

The program consists of ten courses in the first and second semester. Out of ten courses, eight are core courses and two are elective courses. The elective courses will have a wide range in the big data analytics to suite the research interest of the student. The summer internship is for two months, based on available choices and the interest of the student. Third and fourth semesters will involve Master’s thesis.

  • The applicants should have either a four-year undergraduate degree in engineering/ mathematics/ statistics/ physics/ economics/ commerce or a Masters degree in mathematics/ physics/ statistics/ economics/ commerce, or a three-year undergraduate degree in mathematics/ statistics/ physics/ economics/ commerce plus two or more years of relevant industrial experience.
  • The applicants for executive education are expected to have at least five years of work experience.
  • The minimum eligibility criteria can be waived for exceptionally qualified profiles.

Important dates:

  • Under special circumstances the last date for acceptance of applications for M.Sc. (Data Analytics) and P.G. Diploma in Business and Data Analytics has been extended till 24 July 2015. The admission test + interview will be conducted on 27 July 2015.
  • Completion of admission formalities: 31 July 2015 (Friday)
  • Start of session according to University calendar: 3 August 2015 (Monday)

Fee Structure 2015-17 

Year 1 Year 2 Total
Semester 1 Semester 2 Semester 3 Semester 4
Admission Fee 20,000 20,000
Hostel Fee 35,000 35,000 35,000 35,000 1,40,000
Tuition and Special Fee 1,87,500 1,87,500 1,87,500 1,87,500 7,50,000
Student Activity Fee 1,000 1,000 2,000
Total 2,43,500 2,22,500 2,23,500 2,22,500 9,12,000
Refundable deposit 25,000 25,000

Scholarship and Assistantship Structure 

Year 1 Year 2 Total
Semester 1 Semester 2 Semester 3 Semester 4
M.Sc. (Data Analytics) 1,37,500 1,37,500 1,37,500 1,37,500 5,50,000

In addition, up to 5 students, based on Director’s discretion, are eligible for teaching assistantships of ₹ 12,000 per month for working as a teaching assistant. This assistantship may continue up to a maximum of 4 semesters, subject to satisfactory performance evaluated continuously and compliance with all University regulations.

Overall Cost for Two Years 

Tuition and Special Fee 7,50,000
Living and Administrative Expenses 1,62,000
Total 9,12,000
Scholarship 5,50,000
Amount Payable by Student over Two Years 3,62,000
Refundable Deposit 25,000
Pay-out for a student over two years 3,87,000

Mess and Laundry Charges: Use of mess and laundry services from the University authorized resident vendor is mandatory for all resident students. These charges are collected by the University at the beginning of every semester and paid to the vendor as a pass through. These charges may vary from year to year based on inflation and the decision of the relevant student body and Dean of Student Welfare.

(in ₹) Year 1 Year 2 Total
Semester 1 Semester 2 Semester 3 Semester 4
Mess Charges 17,500 17,500 17,500 17,500 70,000
Laundry Charges 1,750 1,750 1,750 1,750 7,000

Charges for Summer: Mess charges of ₹ 3,500 per month, and laundry charges of ₹ 350 per month are payable in advance for summer in case a student needs to stay in campus (with the permission of the Dean).

Part time/Full time:

Full time

  • Rupamanjari Ghosh, Director, School of Natural Sciences, SNU
  • Santosh Singh, Head, Big Data Analytics Center (BDAC), SNU

Visiting Professors

  • Professor S. K. Neogy, Department of Statistical Quality Control and Operations Research, ISI – Delhi
  • Professor Neeraj Misra, Department of Mathematics and Statistics, IIT – Kanpur

Adjunct Faculty

  • Professor Niladri Chatterjee, Department of Mathematics, IIT – Delhi
  • Ljubisa Goganovic, Siemens Information Systems – Bangalore
  • Abhijit Kulkarni, SAS – Pune
  • Narendra Dureja, HCL – Noida
  • Santosh Singh, Department of Mathematics, SoNS, SNU
  • Krishnan Rajkumar, Department of Mathematics, SoNS, SNU
  • Abhishek Ranjan, Department of Mathematics, SoNS, SNU
  • V. Jayaraman, Center for Informatics, SoNS, SNU
  • Partha Chatterjee, Department of Economics, SoHSS, SNU
  • Saptarshi P. Ghosh, Department of Economics, SoHSS, SNU

Tools of Big Data Analytics.

Name :
Email :
Contact Number :
Message :
Code :