C.U. Online Degree programs

Online Master of Science (Date Science)

Online M. Sc (Data Science)

Online Master’s degree programme in Data Science offered by C.U. is a two-year online higher education programme. It has been uniquely positioned to provide you with theoretical knowledge and practical exposure to the fast- transforming field of Data Science.  This will guide you through the next two years and groom you into a well-trained data science professional. Are you ready to get started?

Online Master of Science (Date Science)

Minimum Eligibility for Online Master of Science (Date Science)

Candidate must have completed bachelor’s degree in B.A/ BCA/ B.Sc. (Statistics or Mathematics or Computer Science) / B.E/ B.Tech OR equivalent undergraduate degree with any one of the following subject Computer Science/ Mathematics/ Statistics from a recognized Board/ University.

Minimum Duration

2 years (4 Semesters)

Fee Structure for Online M. Sc (Data Science)

ProgrammeFee StructureFee After 25% EBD discount

Online Master of Science (Date Science)

Programme Rs. 1,46,668/-
Programme fee after 25% Early Bird Discount Rs. 1,10,000/-

Semester FeeRs. 27,500/-
Annual PaymentRs. 55,000/-
Lump Sum FeeRs. 1,10,000/-

NOTE:
One time new admission prospectus fee : Rs. 1000/- (at the time of admission) *this amount is not refundable

Online M.Sc (Data Science) Advantages​

Globally-Recognized Program
Online Examinations
Live Classes
Flexible Examination
Learn Anywhere Anytime
Placement Assistance

COURSE CURRICULUM

  • Python Programming
  • Applied Probability and Statistics
  • Communication and Soft Skills
  • SQL Programming
  • Advanced Database Management Systems
  •  Calculus and Linear Algebra for Data Scientists
  •  Data Analysis and Visualization
  •  Machine Learning
  •  Advanced Machine Learning
  •  Deep Learning
  • Optimization
  • Java Programming
  • Data Structures and Algorithms
  • Web Technologies
  • Cloud Native Development
  • Minor Project (Software Dev)
  • Natural Language Processing
  • Data Engineering
  • Data Mining and Warehousing
  • Applied Business Analytics
  • Major Project