Master of Science (M.Sc.) in Data Science - Univista EdTech
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Program Overview
The M.Sc. in Data Science program is designed to equip learners with advanced knowledge in statistics, machine learning, big data technologies, and artificial intelligence. This program blends theoretical foundations with hands-on applications, preparing graduates to analyze complex datasets, derive insights, and build data-driven solutions for real-world business, research, and societal challenges.

2 Years (4 Semesters) – Online + Live Faculty-Led Classes + Labs & Projects Fees

INR 1,40,000

1. Annual Intake: Twice a Year
2. Next Intake: January and July
Key Highlights
100% Online with hands-on coding labs & real-world datasets
Strong foundation in mathematics, statistics, and machine learning
Training in big data, cloud platforms, and deep learning frameworks
Mentorship from data scientists & industry professionals
Capstone Project: Build an AI/Data Science solution for a real-world problem
Career readiness workshops & corporate tie-ups for placements
Skills You Will Learn
Statistical Modeling & Probability
Machine Learning & Deep Learning
Data Visualization & Storytelling
Big Data Management & Cloud Integration
Natural Language Processing (NLP)
Predictive & Prescriptive Analytics
Research & Data Ethics
Tools You’ll Master
Program Outcomes
Learning Outcomes
- By completing this M.Sc., you will be able to:
- Apply advanced statistical and machine learning models to real-world datasets
- Build predictive and prescriptive analytics solutions for businesses
- Use big data tools to manage and analyze large-scale datasets
- Leverage cloud platforms for scalable data science applications
- Demonstrate ethical practices and communicate insights effectively
Key Outcomes
- Career Roles: Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, AI Specialist, Big Data Engineer, Research Analyst
- Industries: IT, Banking, Healthcare, E-commerce, Consulting, Government, Research Institutes
Program Curriculum
Semester 1 – Foundations
• Advanced Mathematics & Statistics for Data Science
• Programming with Python & R
• Database Systems & SQL
• Data Visualization & Communication
Semester 2 – Core Data Science
• Machine Learning Algorithms & Applications
• Big Data Technologies (Hadoop & Spark)
• Cloud Computing for Data Science
• Research Methodology & Data Ethics
Semester 3 – Advanced Applications
• Deep Learning & Neural Networks
• Natural Language Processing (NLP)
• Predictive & Prescriptive Analytics
• Industry Case Studies & Electives
Semester 4 – Integration & Research
• Advanced Topics in AI & Data Science
• Data Science for Business Strategy & Decision-Making
• Emerging Trends: Generative AI, IoT, Edge Analytics
• Capstone Project – AI/Data Science Research or Industry Project
Why You Should Join this Course
- Develops data analysis and interpretation skills.
- Prepares for roles in data science and analytics.
- High demand for data science skills across industries.
₹1,40,000
Admissions Open
Eligibility
- Minimum Qualification: Bachelor’s degree in Science / Engineering / Mathematics/Statistics/Computer Applications (50% aggregate)
- Preferred: Candidates with programming or quantitative background
- Open to fresh graduates & working professionals aspiring for data science roles
Admission Criteria
- Submit online application form via Univista EdTech portal
- Upload academic transcripts & ID proof
- Admission confirmed after eligibility verification and fee payment