Online Master of Science in Data Science from VIT
Vellore Institute of Technology (VIT) offers a comprehensive online Master of Science in Data Science program designed to teach you complex data analysis, interpretation, and data-driven decision making across various domains. With live online learning from distinguished faculty and recorded sessions, this program helps you acquire and apply data science skills to advance your career while improving business outcomes.
Instructors:
English
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Course Start Date:
Starting Soon
Application Deadline:
Closing Soon
Duration:
24 Months
₹ 1,44,500
₹ 1,70,000
Overview
VIT's Online MSc in Data Science program offers comprehensive training in data analysis, interpretation, and decision-making, combining theoretical knowledge with practical applications. Through live online sessions and recorded content, students gain expertise in various aspects of data science while maintaining professional commitments.
Why MSc (Master of Science)?
The program stands out for its UGC-entitled degree status, distinguished faculty, comprehensive curriculum with elective options, and the prestigious VIT alumni network. Students benefit from flexible learning options and industry-relevant skills development.
What does this course have to offer?
Key Highlights
Distinguished faculty
UGC-entitled degree
Comprehensive curriculum with electives
Flexible learning format
Prestigious alumni network
Career support services
Who is this programme for?
Working professionals seeking career advancement
Graduates aiming for data science roles
Technology professionals wanting to specialize
Analytics enthusiasts looking for formal education
Minimum Eligibility
Graduate with minimum 50% marks (45% for reserved categories)
Bachelor's degree of minimum 3 years duration
All domains and backgrounds eligible
Who is the programme for?
The program follows a structured admission process with emphasis on academic merit. Students are evaluated through internal assessments (30%) and end-term examinations (70%). The curriculum is delivered through a mix of live online sessions and recorded content.
Selection process
How to apply?
Curriculum
The curriculum spans four semesters covering core concepts and electives in data science, including Linear Algebra, Probability, Python Programming, Machine Learning, and Big Data Analytics.
There are 4 semesters in this course
The program offers a comprehensive learning experience across four semesters. Core subjects establish strong foundations in mathematics, statistics, and programming. Advanced topics and electives allow specialization in areas like Big Data, Machine Learning, and domain-specific analytics. The curriculum combines theoretical knowledge with practical applications through projects and hands-on learning.
Semester - I
Semester - II
Semester - III
Semester - IV
Programme Length
24 months with flexible learning options combining live online sessions and recorded content. One hour live session per week per subject.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Professor of Software Engineering: Leading Innovations in Software Development Methodologies
Dr. Prabukumar Manoharan is a distinguished professor with extensive experience in the field of computer science. He specializes in software engineering and has contributed significantly to research in software development methodologies. His commitment to teaching and mentorship has made a profound impact on students, preparing them for careers in technology.
Assistant Professor of Data Science: Engaging Students in Machine Learning and Analytics
As an assistant professor, Dr. Ramani S focuses on data science and machine learning. With a strong academic background and practical experience, he engages students through innovative teaching methods and hands-on projects that enhance their understanding of complex concepts in data analytics.
Tuition Fee
The program fee is ₹170,000 with an application fee of ₹1,200. Multiple payment options are available including full payment, 2 installments, and 4 installments. Scholarships are offered for various categories including VIT alumni, government employees, and defense personnel.
Fee Structure
Payment options
Financial Aid
Learning Experience
The program utilizes a mixed-mode learning approach combining recorded sessions with weekly live classes. Students access course materials through an LMS platform and interact with faculty during live sessions.
University Experience
Students become part of VIT's prestigious academic community, accessing campus resources, alumni networks, and institutional support. The program offers comprehensive online learning infrastructure and faculty support.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Established in 1984, VIT is one of India's premier private institutions recognized as an Institution of Eminence by the Government of India. Located in Vellore with additional campuses in Chennai, Amaravati, and Bhopal, VIT offers comprehensive education through 20 schools of study. The university is known for its innovative Fully Flexible Credit System (FFCS), strong industry connections, and research excellence. VIT has emerged as a global leader in higher education, attracting students from 95+ countries and maintaining 300+ global academic partnerships.
#791-800
QS World Ranking 2025
#10
NIRF University Rank 2024
#148
QS Asia Ranking 2025
Affiliation & Recognition
UGC
NAAC
NBA
Computing Accreditation Commission
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Professor of Software Engineering: Leading Innovations in Software Development Methodologies
Dr. Prabukumar Manoharan is a distinguished professor with extensive experience in the field of computer science. He specializes in software engineering and has contributed significantly to research in software development methodologies. His commitment to teaching and mentorship has made a profound impact on students, preparing them for careers in technology.
Assistant Professor of Data Science: Engaging Students in Machine Learning and Analytics
As an assistant professor, Dr. Ramani S focuses on data science and machine learning. With a strong academic background and practical experience, he engages students through innovative teaching methods and hands-on projects that enhance their understanding of complex concepts in data analytics.
Career services
VIT provides comprehensive career support services through its state-of-the-art placement infrastructure. The center facilitates continuous institute-industry interaction through pre-placement training, industrial exhibitions, and seminars. Students receive intensive coaching in personality development, leadership qualities, and technical skills. The CDC organizes year-round placement activities including pre-placement talks, written tests, group discussions, and interviews. The university mandates summer internships ranging from eight weeks to six months, enabling students to gain practical industry exposure. The center also conducts mock interviews, employability boot camps, and industry mentoring by alumni.
88 LPA
Highest Package 2024
867
Total Recruiters 2024
94%
Placement Rate
Top Recruiters
Course Start Date:
Starting Soon
Application Deadline:
Closing Soon
Duration:
24 Months
₹ 1,44,500
₹ 1,70,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.