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Courses/DATA SCIENCE 3 YEAR GRADUATE PROGRAM
DATA SCIENCE

DATA SCIENCE 3 YEAR GRADUATE PROGRAM

Master data science with hands-on analytics, AI skills, and real-world projects.

36 Months
2880 Hours
offline
Certificate Included

Course Fee

₹744,000₹520,800
30% OFF - Limited Time!

Next Batch Starts

March 1, 2026

Seats Available

Only 30 seats left!

Course Overview

**DATA SCIENCE 3 YEAR GRADUATE PROGRAM** The **Data Science 3 Year Graduate Program** at **TIPS-G Institute** is a comprehensive, industry-aligned program designed to transform aspiring learners into highly skilled data science professionals. Spanning **36 months (2880 hours)**, this program blends strong theoretical foundations with extensive hands-on practice, real-world projects, and emerging industry tools. It is ideal for students who have basic knowledge of statistics, programming, data visualization, and linear algebra and are ready to advance into professional data-driven roles. Throughout the program, students will master **Python and R for data analysis**, advanced statistics, machine learning, deep learning, big data technologies, data engineering concepts, and AI-driven analytics. Learners will work on real datasets, build predictive models, create impactful visualizations, and develop end-to-end data science solutions aligned with business needs. Graduates of this program gain a competitive edge in careers such as **Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and AI Specialist**. With strong industry demand, excellent salary potential, and global career opportunities, data science remains one of the fastest-growing fields. Enroll in this program to gain **job-ready skills, practical expertise, and long-term career growth** in the world of data-driven innovation.

Prerequisites

Prerequisites for Data Science: 1. Introduction to Statistics: A solid understanding of basic statistical concepts and techniques is essential for analyzing data and making informed decisions. 2. Programming Fundamentals: Proficiency in at least one programming language, preferably Python or R, is necessary for data manipulation and analysis. 3. Data Visualization Basics: Familiarity with data visualization principles and tools (such as Matplotlib or Tableau) will help in effectively communicating data insights. 4. Linear Algebra: A foundational knowledge of linear algebra concepts is important for understanding many data science algorithms and techniques.

Duration

36 Months

Total Hours

2880 Hours

Mode

offline

Certification

Yes

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Join thousands of successful students who transformed their careers with TIPS-G