Master of Science( Data Science) - M.Sc.(Data Science)

Duration: 2 years (4 Semesters), Eligibility: B.Tech/B.Sc. with Math or equivalent

Admission Details:

SessionIn the month of June-July, once a year
Seats30
Class Timing:1:00Pm - 8:00pm (Mon-Fri,Second Shift)
Recognition/AffiliationRecognised by MAKAUT.
Admission Process

B.Sc.(CS/IT)OR equivalent
Through CET Examination.

Fees Structure

Prospectus Application FormRs. 1,000/-
Admission Fees(One time)Rs. 15,000/-
Caution Money(One time)Rs. 5,000/-(Refundable without Interest at the end of the Programme,after adjustment if any))
Total Semester4
Tution Fees per SemesterRs. 40,000/-
Total Fees in 2 YearsRs. 1,75,000/-

Fees Include:

  • IMS Tution Expenses
  • Two sets of Uniforms
  • Industry visit
  • At least one seminar exposure
  • OTG Pendrive
  • All University fees
  • Summer & Final Placement Assistance (Subject to minimum of 80 % attendence)
  • Fees to be paid only in DD or PO in favour of "Institute of Management Study" payable at Kolkata. Cash acceptable for prospectus and miscellaneous receipt only.
  • Caution Money of Rs. 5000/- is refundable at the end of the programme/transfer/discontinuation after adjusting for any damage of property/fine/penalties/dues etc.
  • 10% of the fees to be paid in case of backlog/year lag per semester
  • Odd semester fees to be paid within 30thJune, Even Semester fees to be paid within 31st December, thereafter that late fine will be applicable as per norms
  • Any late payment of fees in subject to late fees as decided by management.

Papers

Semester - I

  • Theory
  • Statiscal Methods.
  • Database Management System
  • Operating system
  • Fundamentals of Analytics
  • Practical
  • Analytics Lab 1
  • DBMS Lab 1
  • OS Lab using Linux/Linux

Semester - II

  • Theory
  • Modeling Techniques
  • Object Oriented Analysis and Design
  • Modern Computing Scenario
  • Data Communication and Networking
  • Cloud Computing
  • Practical
  • Object Oriented Programming Lab
  • Analytics Lab II

Semester - III

  • Theory
  • Time Series Analysis and Forecasting
  • Data Mining
  • Big Data Technology
  • Design and Analysis of Algorithms
  • Machine Learning
  • Practical
  • Data Mining Lab Lab
  • Big Data Technology and OLTP Lab

Semester - IV

  • Elective - I
  • Elective - II
  • Major Project
  • Grand Viva

Electives for Semester V and VI

Elective - IElective - II
  • Internet of Things
  • Green Computing
  • Optimization Techniques
  • Soft Computing
  • Data security and Authentication
  • Game Theory