Event Management course
3 Years
Data Science Course
Data Science Course equips students with analytical, programming, and machine learning skills to turn data into actionable insights across industries.
Eligibilty: 10+2 (any stream, Mathematics preferred)
Average Fee : 2,00,000 – ₹6,00,000
Duration Fee : 6 months – 1 year
Overview of Data Science Course
The Data Science Course is one of the most in-demand and high-growth programs in today’s digital economy. It focuses on extracting meaningful insights from large volumes of data using statistics, programming, machine learning, and data visualization techniques.
Data Science professionals help organizations make data-driven decisions across industries such as IT, finance, healthcare, e-commerce, banking, and artificial intelligence.
What is Data Science?
Data Science is an interdisciplinary field that combines statistics, computer science, data analytics, and machine learning to analyze structured and unstructured data. It involves data collection, cleaning, modeling, visualization, and interpretation to support business decisions.
Types of Data Science Courses
1. Certificate / Diploma in Data Science
Duration: 6 months – 1 year
Suitable for beginners and working professionals
2. UG Courses in Data Science
B.Sc in Data Science
B.Tech in Data Science
BCA with Data Science
Bachelor in Data Analytics
3. PG Courses in Data Science
M.Sc in Data Science
M.Tech in Data Science
MBA in Data Analytics
PG Diploma in Data Science
Eligibility Criteria
Certificate / Diploma: 10+2 (any stream, Mathematics preferred)
UG Courses: 10+2 with Mathematics / Computer Science
PG Courses: Graduation in Science, Engineering, IT, or related fields
Basic knowledge of mathematics and programming is beneficial
Data Science Course Fees
| Course Level | Approximate Fees |
|---|---|
| Certificate | ₹40,000 – ₹1,20,000 |
| Diploma | ₹60,000 – ₹2,00,000 |
| UG Degree | ₹1,50,000 – ₹4,00,000 |
| PG Degree | ₹2,00,000 – ₹6,00,000 |
(Fees vary depending on institution, tools used, and certifications included.)
Departments & Specializations in Data Science
Students can specialize in various domains such as:
Machine Learning
Artificial Intelligence
Big Data Analytics
Data Engineering
Business Analytics
Predictive Analytics
Data Visualization
Deep Learning
Cloud Computing
Career Opportunities After Data Science
Graduates can work in roles such as:
Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
Data Engineer
AI Specialist
Data Architect
Top hiring sectors include IT companies, fintech, healthcare, e-commerce, telecom, research organizations, and startups.
Why Choose Data Science?
One of the highest-paying career options
Strong global demand
Cross-industry applications
Excellent career growth and scalability
High job security
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Frequently Asked Questions
Find quick answers to the most common questions about admissions, blogs, and career guidance.
Data Science is the process of collecting, analyzing, and interpreting large volumes of data to extract meaningful insights and support data driven decision-making using statistics, programming, and machine learning.
Basic knowledge of programming or mathematics is helpful but not mandatory. The course starts with fundamentals and gradually covers advanced topics.
The course includes:
Introduction to Data Science
Python for Data Analysis
Statistics & Probability
Data Cleaning and Preparation
Exploratory Data Analysis (EDA)
Machine Learning
Data Visualization
SQL & Databases
Real-World Projects and Case Studies
After completing the course, you can pursue roles such as:
Data Scientist
Data Analyst
Machine Learning Engineer
Business Analyst
Data Engineer (Entry-Level)
