B.Sc. Data Science

B.Sc. Data Science is an undergraduate program that focuses on data analysis, machine learning, statistics, programming, and business intelligence. It equips students with skills to collect, process, and interpret large datasets to solve real-world problems and support data-driven decision-making across industries.

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Please note that this course has the following prerequisites, which must be completed before it can be

Average Duration

3 Years

Average Fees

90k

Exam Accepted

CETT

Study Mode

Full Time

Course Overview

B.Sc. Data Science is a 3-year undergraduate program designed to build strong foundations in mathematics, statistics, computer science, and analytical techniques. The course emphasizes practical training in tools like Python, R, SQL, and data visualization platforms. Students learn to handle structured and unstructured data, develop predictive models, and apply data-driven insights to fields like business, healthcare, finance, and technology. The program also integrates concepts of artificial intelligence and big data analytics, preparing graduates for high-demand careers in data-centric industries.

Course Highlights

Course Fee for Inside Maharashtra Students	90,000/-
Course Fee for Outside Maharashtra Students	90,000/-
Assessment Pattern	Semester
Starting	July 2025
Study Mode	Full Time (3 Years)
Location	Pune

Eligibility Criteria
- Candidates must have passed 10+2 (or equivalent) from a recognised board.
- Mathematics is compulsory; Some institutions may also require physics/Computer Science.
- Minimum aggregate percentage (usually 45–60%) as per university norms.
Admission Process
- Apply online/offline through the university or college application portal.
- Selection may be based on:
  - Merit (12th marks).
  - The entrance exam is conducted by the institution.
- Shortlisted candidates may be called for counselling or a personal interview.
- Final admission is confirmed upon successful document verification and receipt of the fee payment.

Year 1

Semester 1

Introduction to Data Science
Fundamentals of Computer Programming (Python/R)
Mathematics for Data Science – I (Linear Algebra & Calculus)
Statistics – I (Descriptive Statistics & Probability)
Communication Skills

Semester 2

Data Structures and Algorithms
Mathematics for Data Science – II (Discrete Mathematics)
Statistics – II (Inferential Statistics & Hypothesis Testing)
Database Management Systems (SQL & NoSQL)
Environmental Studies / Elective

Year 2

Semester 3

Machine Learning – I (Supervised Learning)
Data Mining and Warehousing
Probability Models and Stochastic Processes
Big Data Technologies (Hadoop / Spark basics)
Open Elective / Minor Project

Semester 4

Machine Learning – II (Unsupervised & Reinforcement Learning)
Artificial Intelligence Fundamentals
Data Visualization & Business Intelligence Tools
Cloud Computing for Data Science
Internship / Practical Training

Year 3

Semester 5

Deep Learning & Neural Networks
Natural Language Processing (NLP)
Advanced Big Data Analytics
Domain Applications of Data Science (Finance, Healthcare, etc.)
Research Methodology / Seminar

Semester 6

Advanced Topics in Data Science (Ethics, IoT, Edge AI)
Predictive Analytics & Optimization
Capstone Project / Dissertation
Elective (Cybersecurity / Computer Vision / Bioinformatics)
Viva-Voce / Comprehensive Exam

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