Amity Online MSc in Data Science – Course Details, Fees, Eligibility & Career Opportunities
About the Course
The Master of Science (MSc) in Data Science from Amity Online is designed to equip students with in-depth knowledge of data analytics, machine learning, big data technologies, and AI-driven insights. This program is ideal for working professionals, fresh graduates, and anyone looking to build expertise in data science and analytics.
With a focus on real-world applications, the course provides students with the tools needed to analyze complex data, develop predictive models, and leverage data-driven decision-making across industries.
Key Highlights
UGC-Recognized Degree – Earn a globally recognized MSc in Data Science from Amity Online.
Flexible Learning – 100% online, allowing students to study at their own pace.
Industry-Aligned Curriculum – Covers Python, R, Machine Learning, Deep Learning, and Big Data Analytics.
Hands-on Projects – Gain practical exposure through case studies, assignments, and industry projects.
Expert Faculty & Industry Mentors – Learn from experienced professionals and academicians.
Career Assistance – Placement support, resume building, and interview preparation.
Eligibility Criteria
To be eligible for admission to the MSc in Data Science program, candidates must meet the following criteria:
Educational Qualification – Bachelor’s degree in Computer Science, Mathematics, Statistics, or any related field from a recognized university.
Minimum Marks Required – At least 50% aggregate marks in the undergraduate degree.
Programming Knowledge – Basic knowledge of programming languages such as Python, R, or SQL is preferred.
Course Curriculum
The MSc in Data Science curriculum is structured to provide a comprehensive understanding of data analysis, machine learning, and statistical techniques.
Semester 1
Introduction to Data Science
Programming for Data Science (Python & R)
Applied Statistics & Probability
Database Management Systems
Exploratory Data Analysis
Semester 2
Machine Learning Fundamentals
Data Visualization & Interpretation
Big Data Technologies
Cloud Computing for Data Science
Business Analytics & Intelligence
Semester 3
Deep Learning & Neural Networks
Natural Language Processing (NLP)
Artificial Intelligence for Data Science
Research Methodology & Ethics
Semester 4
Advanced Predictive Analytics
Capstone Project & Internship
Elective Subjects (Specialization in AI, Blockchain, or Cybersecurity)
Career Opportunities After MSc in Data Science
Graduates from this program can pursue careers in a variety of industries, including IT, Healthcare, Finance, E-commerce, and Marketing. Some popular job roles include:
Data Scientist – Analyze large datasets and develop AI-based models for predictions.
Machine Learning Engineer – Design and develop ML algorithms for automation and analytics.
Big Data Analyst – Work with structured and unstructured data to drive business insights.
AI Engineer – Build AI-powered applications and solutions for various industries.
Data Engineer – Develop and manage data infrastructure for enterprises.
Fee Structure
The total program fee for the MSc in Data Science from Amity Online varies based on payment options and scholarships. Below is a general estimate:
Total Fees: INR 1,80,000 – INR 2,50,000 (approx.)
Installment Plans Available
Scholarships for Meritorious Students
For exact fee details, please click the Enquiry button and talk to our experts, they'll guide you through the course and the exact fee and available scholarships as well.
Why Choose Amity Online for MSc in Data Science?
Reputation & Accreditation – Amity is a UGC-recognized university with a strong global presence.
Practical Learning Approach – Industry-oriented curriculum with real-world case studies.
Live & Recorded Classes – Flexibility to study anytime, anywhere.
24/7 Student Support – Assistance with coursework, assignments, and projects.
Placement Assistance – Helps students connect with recruiters from top tech companies.
Conclusion
The MSc in Data Science from Amity Online is an excellent opportunity for individuals looking to build expertise in data analytics, machine learning, and AI. With a flexible learning environment, industry-oriented curriculum, and strong career support, this program can open doors to some of the most in-demand roles in the tech industry.
