BSc Data Science Course Tutorials Nagpur University
Our BSc Data Science Course Tutorials are specially designed for students studying under Rashtrasant Tukadoji Maharaj Nagpur University.
However, our focus goes beyond traditional classroom learning. Instead of only theory like most college lectures, we emphasize hands-on practical coding, logic development, and real programming exercises. This approach helps students gain strong problem-solving skills and real programming confidence, giving them an advantage over other students and preparing them for advanced technologies, software development, and future career opportunities.
BSc (Data Science) All Semester
SEMESTER 1
- Mathematics Foundation to Computer Science
- Problem Solving Techniques with C
- Basics of Computer Architecture
- English Compulsory
- Environmental Science
- Vedic Mathematics
SEMESTER 2
- Programming in C++
- Database Management System
- Data Structures
- Operating System and Linux
- Web Technologies
- Constitution of India
SEMESTER 3
- Object Oriented Programming using JAVA
- Probability and Statistics
- Python Programming
- Software Engineering
- Basics of Data Analytics using Spreadsheet
- SQL and PL/SQL
SEMESTER 4
- Artificial Intelligence
- Computer Networks
- PHP
- Design and Analysis of Algorithm
- Data Visualization
- Design Thinking and Innovation
SEMESTER 5
- Professional Elective – I
- Professional Elective – II
- Professional Elective – III
- Quantitative Techniques
- Internship/Capstone Project
SEMESTER 6
- Generative AI
- Professional Elective -IV
- Professional Elective – V
- Soft Skills
- Major Project [Initiated in 5th Semester]
SEMESTER 7
BCA (Honors) - Specialization – AI & ML
- Social Network Analysis
- Optimization of ML
- Professional Elective – VI
- Professional Elective– VII
- Summer Internship II
BCA (Honors) - Specialization – Data Science
- Advanced Statistical methods for Data Science
- Python for Data Science
- Professional Elective – VI
- Professional Elective – VII
- Summer Internship II
BCA (Honors with Research)
- Advanced Data Analysis Tools
- Professional Elective – VII
- Professional Elective – VIII
- Research Internship Report and Viva –Voce
SEMESTER 8
BCA (Honors) - For Specialization AI-ML & Data Science
- Professional Elective – VIII
- Professional Elective – IX
- Professional Elective – X
- Dissertation work [Started in Seventh Semester]
BCA (Honors with Research)
- Project Work Full Time
- Seminar
1. Artificial Intelligence & Machine Learning - (DSE)
2. Data Science - (DSE)
Ready to get started with placement Skills Courses?
Structured Learning Path
Our curriculum is designed to take you from zero to hero, covering all essential concepts in a logical, easy-to-follow sequence.
Project-Based Approach
You don't just learn theory. You build real-world projects that solve actual problems, giving you a portfolio that impresses recruiters.
Dedicated Career Support
From resume building to mock interviews and job referrals, we're with you every step of the way until you land your dream job.