ONLINE M.SC In Data Science (AMITY UNIVERSITY)

Duration – 2 years

Overview

Amity Online’s M.Sc. in Data Science program is tailored to help you build a standout career in data-driven and leadership roles across industries. With an ideal mix of machine learning, big data analytics, and applied statistics, this program equips you to analyze complex datasets and derive actionable insights.
Designed for real-world impact, the curriculum emphasizes hands-on learning, allowing you to solve practical problems using cutting-edge tools and technologies. Whether you’re aiming to work in tech, finance, healthcare, or government, this program provides the foundation and expertise to thrive.
Program Highlights:
Integrated focus on ML, Big Data, and statistics
Practical experience with real-world datasets
Prepares you for roles such as Data Scientist, Analyst, and AI Specialist
Advance your career by mastering the language of data.

Sample Certificate

Sample Certificate
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FULL COURSE FEE

2,50,000/- (INCLUDING ALL TAXES)
SEMESTER FEE 62,500/-
MONTHLY EMI 10,417/-

Scholarship Category

  • Divyaang (for Persons with special needs)
  • Valid certificate of disability as per government norms.
  • 20%
  • Defence Personnel
  • Minimum 2 years of service in the defence forces with a valid Identity Card number.
  • 20%
  • Amity University Alumni
  • Amity University UG/PG alumni.
  • 20%
  • Merit-Based
  • Academic excellence with minimum 85% aggregate in the previous qualification.
  • Up to 20%
  • Sports Scholarship (CHAMPS)
  • State, national, or international-level sportspersons with valid affiliation from the respective sports federation.
  • 30-100%
  • On Full Fee Payment
  • Upon upfront payment of the full program fee.
  • 8-12%
  • On Annual Fee Payment
  • Upon upfront payment of the annual program fee.
  • 5%

Course Structure

SEMESTER 1

  • Probability and Statistical structures
  • Programming with Python
  • Data Science
  • Data Warehousing and Mining
  • Professional Communication

SEMESTER 2

  • Linear Algebra and Matrices
  • Data Science with R
  • Data Engineering
  • Business Analytics
  • Data Visualization
  • Cognitive Analytics and Social Skills for Professional

SEMESTER 3

  • Optimization Techniques
  • Machine Learning and Deep Learning
  • Natural Language Processing
  • Big Data Analytics
  • Artificial Intelligence
  • Data Science Product Development
  • Big Data & Analytics using R
  • Minor Project
  • Professional Ethics

SEMESTER 4

  • Project Work and Internship

Eligibility

Educational Qualification

Bachelor's degree in any Science discipline.

Grades