Vellore Institute of Technology Online Certificate Programmes in Data Science and AI

About

Artificial intelligence and data science is everywhere from personalised recommendations and fraud detection to automation and predictive analytics.

Today its impossible for companies to function without it because  every industry rely on data-driven decision-making, and professionals who can work with AI and data science are in high demand.

If you are someone who enjoys analysing data, discovering patterns, programming, solving business problems using algorithms and building intelligent systems, the Vellore Institute of Technology Online Certificate Programmes in Data Science and AI Program is built for you.

The Online Certificate Programmes in Data Science and AI from Vellore Institute of Technology are designed to equip learners with hands-on technical skills in Python, Machine Learning, Data Analytics, Deep Learning, Artificial Intelligence and real-world data applications.

The curriculum goes beyond theory learners build and train models, visualise data, deploy solutions and apply them to real business scenarios.

With self-paced modules, live faculty sessions, recorded lectures and flexible online access, this programme enables both fresh graduates and working professionals to upskill without leaving their jobs.

Approvals

The Online Certificate Programmes in Data Science and AI offered by VIT are supported by strong institutional credentials:

• VIT is accredited by the National Assessment and Accreditation Council (NAAC) with A++ grade.
  
  
• Recognised as an Institution of Eminence and consistently ranked among top universities in India (NIRF).
  
  
• Certificates awarded are industry-accepted and globally recognised for employment and higher-learning opportunities.

These factors ensure credibility, quality and career value for learners who complete the programme.

Eligibility

To enrol in the Vellore Institute of Technology Online Certificate Programmes in Data Science and AI Program:

• 10+2 / Diploma / Undergraduate degree from a recognised board or university.
  
  
• No programming experience is mandatory, though basic mathematical understanding supports learning.
  
  
• Suitable for fresh graduates, working professionals and candidates seeking a career shift to AI and data science.
  
  
• No entrance examination is typically required for admission (as per programme brochure).

Specializations & Course Fees

Learners can choose skill pathways based on industry roles and future ambitions.

Available Focus Areas / Electives

• Artificial Intelligence
• Machine Learning
• Data Analytics
• Deep Learning
• Business Analytics
• Big Data
  
  

Fee Structure

Additional Fees: Application / exam fees as applicable
Payment Options: Online fee payments and instalment options available

Admission Process

1. Visit the Vellore Institute of Technology Online programme portal.
   
   
2. Select “Certificate Programmes in Data Science and AI (Online)”.
   
   
3. Fill in the online application form with personal and academic details.
   
   
4. Upload supporting documents (marksheets, ID proof, photograph).
   
   
5. Pay the programme fee through secure online payment gateway.
   
   
6. After document verification, receive admission confirmation and online learning access credentials.

The process is completely digital and designed to support remote learners and working professionals.

Syllabus & Curriculum

The curriculum blends theoretical foundations with practical exposure and industry-oriented assignments.

Core Skill Modules / Subjects Covered

• Python for Data Science
• Statistics and Probability
• Exploratory Data Analysis
• Data Visualisation
• Machine Learning Algorithms
• Deep Learning & Neural Networks
• Natural Language Processing (NLP)
• Big Data Concepts
• Predictive Modelling
• Deployment of AI / ML Models
• Final Industry Project or Capstone

Hands-on labs, case studies, and datasets from real-world applications are integrated throughout the programme.

Placements

Although placements are not guaranteed for the online mode, the programme supports career development and employability through:

• Resume and portfolio enhancement
• Interview training and mentorship
• Access to alumni and professional networking groups
• Guided project work to showcase skills

Frequently Asked Questions