BTech in Data Science

A btech (bachelor of technology) degree in data science at universal ai, one of the best btech data science colleges in mumbai india, will focus on equipping students with the knowledge and skills necessary to work with data, extract insights, and make data-driven decisions. 

Data Science is an interdisciplinary field that combines elements of computer science, statistics, mathematics, and domain expertise to analyze and interpret data.

Here are some key aspects of pursuing a BTech in Data Science:

• Data Handling and Analysis
• Students will get hands-on experience in building predictive models, classification algorithms, and recommendation systems.
• Programming and Data Tools such as Python, R, and SQL. Students also learn how to use data analysis tools, data visualization libraries, and other software commonly used in the industry.
• Data Science projects will involve working with data from specific domains, such as finance, healthcare, marketing, or engineering. 
• Data-Driven Decision Making
• High Demand for Data Scientists

Program Highlights

Being of the best one of the best BTech Data Science colleges in Mumbai India, we offer India's First Multi Disciplinary and Inter Disciplinary curriculum with subjects from 5 Disciplines

• 2 Internships
• 2 CMAPS (Collaborative Multi-disciplinary Approach towards Problem Solving)
• 1 SMART Project
• 3 years of Leadership Development
• 1 Research Paper
• 1 Capstone Project
• 1 SDG (Sustainable Development Goals) Project
• 1 AI Lab Project
• 31% AI Lab Work
• 5 Skills Developed
• 62.5% Experiential Learning

Year 1 – Semester 1

• Internet of Chemistry Things
• Statistics & Probability 
• Basics of Electrical Engineering
• Basics of Electrical Engineering Lab
• Problem Solving and Programming
• Problem Solving and Programming Lab
• Fundamentals of Computer Science 
• Personality development & effective communication
• SMART Project + LDP
• IT Workshop 
• Indian Constitution

Year 1 – Semester 2

• Introduction to SDG, Innovation & Entrepreneurship 
• Mathematical Concepts for AI 
• Database Management System with No SQL 
• Database Management System with No SQL Lab
• Python Programming
• Python Programming Lab
• Environmental Science
• Applied Mathematics – I 
• Engineering Physics
• Engineering Physics Lab
• EDx Course / NPTEL

Exit Option to Qualify Certification

• Basics of 3D printing
• Digital Marketing

Year 2 – Semester 3

• Foundations of Data Science, AI & ML  
• Foundations of Data Science, AI & ML Lab
• Applied Mathematics – II 
• Discrete Mathematics
• Design Thinking and Innovation idea lab
• Data Structures using C
• Data Structures using C Lab
• Universal Human Values 
• Advanced Python Programming  
• Advanced Python Programming Lab

Year 2 – Semester 4

• Advance Data Science, AI & ML 
• Advance Data Science, AI & ML Lab
• Introduction to Data Warehousing and Decision Support Systems
• Elective – I
• Theory of Computation
• Excel for Data Analysis
• Java Programming
• Mini Project I 
• EDx Course / NPTEL
• Elective – I
• Operating Systems
• Computer Networks
• Software Engineering

Exit Option to Qualify Diploma

• Web Technology
• Home Appliances of IoT

Year 3 – Semester 5

• Natural Language Processing 
• Natural Language Processing Lab
• Statistical simulation and data analysis using R
• Statistical simulation and data analysis using R Lab
• Time Series Modelling and Forecasting 
• Deep Learning (Neural Network) 
• Data Integration and Processing  
• Mini Project-II
• AI for Sustainability & Ethics 
• EDx Course / NPTEL

Year 3 – Semester 6

• OJT (Internship)
• Advanced Deep Learning 
• Advanced Deep Learning Lab
• Data Visualization

Exit Option to Qualify B.Voc

• Advanced Data Visualisation
• Ethical Hacking

Year 4 – Semester 7

• Human-Machine Interaction 
• Advanced Data Warehousing and Mining
• Advanced Data Warehousing and Mining Lab
• Big Data
• Big Data Lab
• Gen AI and Its Applications
• Cloud Computing for AI/ML 
• Project – Phase 1 

Elective – II

• Android Programming
• Blockchain technology
• Cyber security
• Quantum Computing

Year 4 – Semester 8

• OJT
• Project – Phase 2 
• Elective-III (Swayam- NPTEL)

Elective-III (Swayam- NPTEL)

• Digital Forensic
• Optimization Techniques
• Mobile Computing
• Management /Finance/Language course etc.