VIT Online M.Sc. in Data Science

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Overview of VIT's Online M.Sc. in Data Science

VIT is renowned for academic excellence and edge- slice disquisition, and the corruption of VIT into online learning also shares the same credentials and morals. The course for Online M.Sc. in Data Science is UGC- entitled, i.e., new to a regular degree and accepted by the government and employers as well.

Highlights

Duration: 2 Years ( 24 months)
Mode: Online( Live Recorded lectures)
Electives: 10+ option to choose from, such as Big Data, Machine Learning, and Business Analytics
Eligibility Bachelor's degree with solid grounding in computation/statistics
This makes it a very feasible choice for those who want quality education without losing work or other arrears.

Who Can Apply?

The program is aimed at a wide learners:

Working professionals( 0 – 5 year of experience) who desire to change or move up in data- driven locations
New graduates in wisdom, mathematics, computer wisdom, or engineering
Business judges, software formulators, and statisticians who desire to transition to data wisdom
Government or public sector employees looking for formal training in analytics
The course is intended to feed into students from various disciplines, provided they have a solid foundation.

Eligibility Criteria

To admit in the VIT Online M.Sc. in Data Science, the candidates must meet the following requirements:

Academic Qualifications

Bachelor's degree(minimum 3 times) in Mathematics, Statistics, Engineering, Technology, Computer Science, or related sciences
Must have studied a minimum of two courses in mathematics or statistics
Minimum aggregate score of

50 for General Category
45 for Reserved Category
Work Experience

Not necessary, but a previous experience or exposure to data-driven places would be helpful
Specialized Conditions

A computer or laptop with stable internet access
Familiarity in basic programming concepts( Python/ R is desirable, but not necessary at entry)
This wide-ranging eligibility structure keeps the program open without diluting academic credentials.

Course Details Curriculum Breakdown

The program course is kindly designed to encompass the scope and depth of contemporary data sagacity.

Year 1: Core generalities

Introduction to Data Science
Python for Data Analytics
Statistical styles for Data Science
Machine Learning Foundations
Data Visualization and Communication
Database Management Systems
Year 2: Specialization and operation

Advanced Machine Learning
Big Data Technologies( Spark, Hadoop)
Natural Language Processing( NLP)
Electives( choose from Business Analytics, AI, Deep Learning, etc.)
Capstone Project
Learning Methodology

Live sessions( 1 hour/ week/ subject)
Self- paced video lectures
Assignments, quizzes, case studies, and a final design
Online terminal exams at the end of each semester
With a strong blend of proposition and practice, students gain hands- on experience with real- life tools and datasets.

Fees Structure

VIT offers an economical and open figure model for this online master's degree program.

Total Program amount

1,50,000 INR

Application amount

1,200 INR (non refundable)

Installment Option Available
Online Admission Process

Application Process is completely online and hassle-free.

Step- by- Step Guide

Register Online: Go to the authenticated gate and submit your profile.
Fill Application Form: Submit academic details, upload documents, and pay the operation fee.
Eligibility: Verification Your documents and academic profile will be verified.
figure Payment After naming, pay the first installment or the booking fee to reserve your admission.
Start Learning: Login to your knowledge dashboard and begin with exposure.
No interview or entrance test is needed.

Career Guidance and Placement Support

VIT boasts excellent career guidance facilities to students

Services Offered

Resume notation and portfolio development
Interview mock and drug interviews
Sedulity behaviour lectures and mentorship
Job board access and employer links
LinkedIn profile organization
Although VIT does not assure job placement, the chops and instrument greatly enhance employability.

Placement Outcomes

Graduates of the M.Sc. Data Science program are well- deposited for places analogous as:

Data Analyst
Machine Learning architect
Business Intelligence Developer
Data Scientist
Quantitative Analyst
Big Data Engineer
Target Sectors

IT & Software
Banking & Finance
E-commerce
Healthcare & Pharma
Manufacturing
Government & Public Sector
Scholars can expect starting packages between ₹ 5 – 10 LPA depending on former experience, company, and part.

Pros and Cons of the Program

Pros

Flexible and online — ideal for working professionals
UGC- entitled,  recognized encyclopedically
Class designed by expert VIT faculty
Affordable pricing with EMI options
Electives and  capstone design for practical exposure
Cons

Restricted peer commerce relative to on- lot programs
Placement not assured
Requires tone- discipline and time operation
FAQs( frequently Asked Questions)

1. Is this course approved by the UGC?

Yes, the VIT Online M.Sc. in Data Science is UGC- approved and on- lot degree specific.

2. Do I have to have programming experience before starting?

Not required, but having initial Python or R experience may be beneficial through coursework.

3. Am I able to work full-time and do this program?

Yes. The program is designed for working professionals with live and listed flexible sessions.

4. Is there lot placement?

No formal lot placement for the online option, but VIT offers career advice and networking.

5. Is there international scholar eligibility?

Yes. If you are eligible under the requirements, international researchers are eligible.

6. Am I able to pursue another degree simultaneously?

Yes. UGC guidelines now permit researchers to research two degrees — one offline and one online — simultaneously.

Conclusion

The VIT Online, If you wish to initiate or drive your data scientist career.Sc. in Data Science is a deal. With an equal class, cooperative staff, and severity, the program is both a value and trust. Whether you are a data enthusiast, a professional coder, or a computation lover, VIT's program may be your key to an interesting, high growth career