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Fresh Graduates
Kick-start your management career at the most affordable fee in the industry

Career Switcher
Pivot from technical or non-management roles into business leadership

Entrepreneur
Build your business with structured knowledge in strategy, finance and operations

Working Professional
Upskill without quitting your job with flexible weekend classes
₹3.5 LPA
Science graduate with basic analytical skills and no specialisation
24 Months
Data science, statistics, machine learning & 15+ industry projects
₹9 LPA
Data Analyst / Research Scientist — 160% avg salary hike, 200+ hiring partners
₹3.5 LPA
Science graduate with basic analytical skills and no specialisation
24 Months
Data science, statistics, machine learning & 15+ industry projects
₹9 LPA
Data Analyst / Research Scientist — 160% avg salary hike, 200+ hiring partners
DOMESTIC
Documents Required
Graduate (Engg, Tech, Stats, Math, Computer Science) with minimum 50%. Must hold a Bachelor's degree in Engineering, Technology, Statistics, Mathematics, or Computer Science with a minimum of 50% marks (45% for reserved categories).
INTERNATIONAL
Documents Required
NRI/OCI/Foreign candidates require valid passport, UG degree, and required documents.
Student Criteria
Documents Required
DOMESTIC
Graduate (Engg, Tech, Stats, Math, Computer Science) with minimum 50%. Must hold a Bachelor's degree in Engineering, Technology, Statistics, Mathematics, or Computer Science with a minimum of 50% marks (45% for reserved categories).
INTERNATIONAL
NRI/OCI/Foreign candidates require valid passport, UG degree, and required documents.
Exploratory Data Analysis
Probability and Distribution Models
Data Structures and Algorithms
Python Programming
Linear Algebra
Student Category
Plan Type
Amount
Fee Note
Domestic
LUMP SUM
170000 INR
Full payment of INR 170,000 within 7 days post selection
Domestic
SEMESTER
85000 INR
2 installments of INR 85,000 each. Total programme fee INR 170,000
Domestic
EMI
42500 INR
4 installments of INR 42,500 each. Total programme fee INR 170,000
International
SEMESTER
- USD
International fee structure not found
International
LUMP SUM
- USD
International fee structure not found
Equivalent to on-campus degree
UGC-DEB & AICTE Approved

Join thousands of university alumni 1,20,000+

Current Salary (₹ LPA)
Years Of Experience
Projected Salary After Master of Science in Data Science
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FEATURE
Vellore Institute of Technology
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WES Recognized
Scholarships
Live Sessions
Placement Support
Industry Mentors
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Yes, the VIT Online MSc Data Science degree is fully recognized by the University Grants Commission (UGC) and its Distance Education Bureau (DEB), making it valid for all government jobs in India. VIT holds an NAAC A++ grade, ensuring high academic standards for both its online and on-campus programs. The degree certificate holds the same legal standing as a traditional degree, as per UGC regulations for online programs. This recognition ensures its acceptance across public and private sectors.
Yes, employers widely accept the VIT Online MSc Data Science degree on par with a regular, on-campus degree, primarily due to VIT's strong brand reputation and the identical curriculum. The final degree certificate typically does not differentiate between online and on-campus modes, focusing on the university and the program. Recruiters prioritize the skills gained and the institution's credibility, making VIT's online degree highly competitive in the job market. Your practical projects and portfolio will be key differentiators.
Eligibility for VIT Online MSc Data Science requires a Bachelor's degree (BCA, BSc, B.Tech/BE in Computer Science, IT, Mathematics, Statistics, or related fields) with a minimum of 60% aggregate marks. Candidates must have studied Mathematics or Statistics at the 10+2 level or during their undergraduate degree. The admission process involves submitting an online application, followed by a thorough document verification, and potentially a virtual interview to assess aptitude and motivation. Shortlisted candidates receive an admission offer based on their academic merit and interview performance.
Admission to VIT Online MSc Data Science is primarily merit-based, focusing on your academic performance in your undergraduate degree. There is no separate entrance exam like VITMEE specifically for this online program. Candidates are evaluated based on their Bachelor's degree marks, relevant subject background, and performance in the virtual interview. This ensures that students with a strong academic foundation and genuine interest in Data Science are selected for the program.
The total fee for VIT Online MSc Data Science is approximately ₹2,50,000 for the entire program, payable in semester-wise installments. Yes, EMI options are available through partnerships with financial institutions like Eduvanz and Propelld, typically offering 6 to 24-month repayment plans. These options usually require a down payment and can be accessed directly via the VIT Online admissions portal.
Scholarships for VIT Online MSc Data Science are generally limited, primarily focusing on merit-based awards for top performers in the entrance examination or previous academic records. VIT may offer a limited number of tuition fee waivers for students demonstrating exceptional academic achievement during their undergraduate studies. Students can also explore external scholarships from government schemes or private foundations that support higher education in Data Science.
After completing VIT Online MSc Data Science, graduates can pursue roles such as Data Scientist, Machine Learning Engineer, AI Engineer, or Business Intelligence Analyst across various industries. Entry-level salaries for freshers typically range from ₹6 LPA to ₹10 LPA, while professionals with 3-5 years of experience can command ₹15 LPA to ₹25 LPA. Top recruiters include TCS, Wipro, Infosys, and various analytics firms.
Yes, VIT provides comprehensive placement assistance for students enrolled in VIT Online MSc Data Science through its dedicated career services cell. This includes resume building workshops, interview preparation sessions, and access to an exclusive job portal with listings from over 300 hiring partners. While direct placements are not guaranteed, the university actively facilitates industry connections and virtual career fairs to maximize student opportunities.
VIT Online MSc Data Science holds the same academic validity and recognition as a regular, on-campus MSc Data Science degree from VIT, as per UGC-DEB regulations for online programs. The degree certificate issued will not specify 'online,' ensuring equal standing in the job market. While the learning format is flexible and self-paced, the curriculum and faculty standards are maintained at VIT's NAAC A++ accredited level. This means employers view both degrees as equivalent for career progression.
Yes, VIT Online MSc Data Science is highly competitive and often more valuable than many other online data science degrees in India due to VIT's strong brand reputation and NAAC A++ accreditation. With program fees typically ranging from ₹2.8 Lakhs to ₹3.5 Lakhs, it offers excellent value for a UGC-DEB approved degree. Graduates can expect entry-level salaries between ₹5 LPA and ₹9 LPA, which is competitive for the Indian market, especially with VIT's industry connections. Its established academic rigor and career support often surpass newer or less recognized online providers.
VIT Online MSc Data Science employs a robust learning format that includes pre-recorded video lectures for flexible self-paced study, supplemented by weekly live interactive doubt-clearing sessions (typically 2-3 hours). The curriculum emphasizes practical application through case studies, coding assignments using Python/R, and capstone projects. All examinations are conducted online via secure proctored platforms, ensuring academic integrity and convenience for students.
The VIT Online MSc Data Science program is designed for a standard duration of 2 years (24 months), structured across four semesters. While there are no formal 'specialization tracks' listed, the comprehensive curriculum covers advanced topics like Machine Learning, Deep Learning, Big Data Analytics, and Natural Language Processing. This broad coverage ensures graduates are well-versed in various facets of data science, preparing them for diverse roles in the industry.