Overview of VIT 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
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
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