B.Tech in Artificial Intelligence and Data Science Course
B.Tech in Artificial Intelligence & Data Science is a 4 year undergraduate engineering degree
AI is no longer a future skill. It’s already hiring today. From hospitals using predictive analytics to banks detecting fraud in seconds, companies need graduates who understand both intelligent systems and data.
That’s exactly where the B.Tech Artificial Intelligence and Data Science program at Sigma University fits in. If you’re searching for B.Tech AI & Data Science in Gujarat / Vadodara, this program deserves a serious look.
Sigma University
AICTE, New Delhi & UGC, New Delhi
04 Years
• Candidate shall have passed Higher Secondary Examination (Grade 12) or equivalent stage of education
• Diploma Engineering holder will be eligible for admission in Semester-III of B.Tech Program will be considered as D2D admission
As per the directives of Admission Committee. Usually from May to October every year.
Visit: https://admissions.sigmauniversity.ac.in/
Call: +91 7567176000
July 2025
Faculty of Engineering & Technology (Sigma Institute of Engineering), Sigma University Vadodara.
10: 00 am to 05:00 pm
Curriculum
| Sem | Course Code | Course Name | Theory (T) | Tutorial (T) | Practical (P) | Hrs | Credit | Detail Syllabus |
|---|---|---|---|---|---|---|---|---|
|
I |
1BCU01 |
Calculus |
3 |
0 |
0 |
3 |
3 |
|
|
I |
1BAI01 |
Basic Computer Engineering |
3 |
0 |
2 |
5 |
4 |
|
|
I |
2BEE01 |
Fundamentals of Electrical Engineering |
3 |
0 |
2 |
5 |
4 |
|
|
I |
2BEP01 |
Engineering Physics |
3 |
0 |
2 |
5 |
4 |
|
|
I |
2BCO01 |
Computer Programming |
2 |
0 |
2 |
4 |
3 |
|
|
I |
1BAI02 |
Advance Excel |
0 |
0 |
4 |
4 |
2 |
|
|
I |
1BCS01 |
Basic Communication Skills |
2 |
0 |
0 |
2 |
2 |
|
|
I |
1NCC01/1NSS01/1SPO01 |
NCC/NSS/Sports |
0 |
0 |
2 |
2 |
0 |
|
|
|
|
|
16 |
0 |
14 |
30 |
22 |
|
| Sem | Course Code | Course Name | Theory (T) | Tutorial (T) | Practical (P) | Hrs | Credit | Detail Syllabus |
|---|---|---|---|---|---|---|---|---|
|
II |
2BHE01 |
Higher Engineering Mathematics |
3 |
0 |
0 |
3 |
3 |
|
|
II |
1BCH01 |
Engineering Chemistry |
3 |
0 |
2 |
5 |
4 |
|
|
II |
2BAI01 |
Web Technology |
2 |
0 |
2 |
4 |
3 |
|
|
II |
1BCL01 |
Fundamentals of Civil Engineering |
3 |
0 |
2 |
5 |
4 |
|
|
II |
2BAI02 |
Python Programming |
2 |
0 |
2 |
4 |
3 |
|
|
II |
2BAC01 |
Advance Communication Skills |
2 |
0 |
0 |
2 |
2 |
|
|
II |
1BES01 |
Environmental Science & Sustainable Development |
3 |
0 |
0 |
3 |
3 |
|
|
II |
2NCC01/2NSS01/2SPO01 |
NCC/NSS/Sports (II) |
0 |
0 |
2 |
2 |
0 |
|
|
|
|
|
18 |
0 |
10 |
28 |
22 |
|
What You Will Learn in This Program
This is a full-time 4-year engineering program built across 8 semesters. You learn how machines make decisions, how data becomes business insight, and how software products are built. It blends computer science fundamentals with modern AI applications, giving students both technical depth and career-ready skills.
B.Tech in Artificial Intelligence and Data Science: Program Overview
Think of it this way: AI teaches machines to learn. Data Science teaches humans to make better decisions using data. This course combines both.
Students typically study machine learning, deep learning, statistics, Python programming, cloud tools, data visualisation, and automation systems. Real industry use cases include:
- Fraud detection in finance
- Medical diagnosis support systems
- Recommendation engines like OTT platforms
- Chatbots and voice assistants
- Supply chain forecasting
- Smart manufacturing analytics
Demand is rising fast because every industry now creates data and wants intelligence from it. That means graduates can work in IT, healthcare, banking, retail, manufacturing, logistics, and startups.
Placement Section
Sigma University focuses strongly on employability through training, aptitude preparation, mock interviews, internships, and recruiter outreach. With 250+ recruiters associated with campus placements, students gain access to opportunities across IT, analytics, consulting, and engineering sectors.
Highest Salary Package
During recent placement drives at Sigma University, the highest salary package has reached around ₹20 LPA, with participation from over 250+ recruiters across various industries.
Leading Companies Hiring from Our University
Company | Roles Offered |
TCS | Data Analyst, System Engineer, Business Analyst |
Infosys | AI Associate, Software Engineer, Data Engineer |
Wipro | ML Engineer, Project Engineer, Analyst |
Accenture | Data Analyst, Cloud Associate, AI Operations |
Capgemini | Data Engineer, Software Developer, Consultant |
Cognizant | Programmer Analyst, BI Analyst |
HCLTech | Python Developer, Support Engineer |
Tech Mahindra | AI Support Associate, Developer |
Popular Roles for B.Tech AI & Data Science Students
- Data Analyst
- Machine Learning Engineer
- AI Engineer
- Python Developer
- Data Engineer
- Business Intelligence Analyst
- Software Developer
- Cloud Engineer
- Research Associate
Placement Support at Sigma University
Students are typically supported through:
- Resume building sessions
- Mock interviews
- Aptitude training
- Coding practice rounds
- Soft skills workshops
- Internship assistance
- Corporate connect programs
Placements don’t happen by chance. Students who build projects, practice coding, and use internships wisely stand out first.
Course Curriculum
The B.Tech in Artificial Intelligence & Data Science follows a semester-wise structure that builds from fundamentals to advanced AI concepts
Semester 1-2:
Engineering Mathematics, Programming Basics, Physics, Communication Skills, Basic Electronics
Semester 3-4:
Data Structures, DBMS, OOP, Probability & Statistics, Python for Data Science
Semester 5-6:
Machine Learning, Artificial Intelligence, Data Mining, Computer Vision, Big Data
Semester 7-8:
Deep Learning, NLP, Cloud AI, Major Project, Internship, Industry Training
Core Subjects
- Python Programming
- SQL & Database Systems
- Machine Learning
- Artificial Intelligence
- Statistics
- TensorFlow / Model Development
- Data Visualization
- Cloud Computing
Electives
- Deep Learning
- Natural Language Processing
- Generative AI
- Reinforcement Learning
- Cyber Analytics
- IoT with AI
- Business Intelligence
Eligibility Criteria
Students should have passed 10+2 with Physics, Chemistry, and Mathematics from a recognised board. Many engineering admissions expect around 45% to 50% aggregate marks (category norms may vary). Admission may consider entrance exams such as:
- JEE Main
- GUJCET
Always verify current criteria with the university admission office.
Admission Process
- Fill out the application form online/offline
- Submit academic documents
- Attend Counselling or a direct interview
- Pay the fees
- Get seat confirmation
For admission details, contact:
Visit: https://admissions.sigmauniversity.ac.in/
Call: +91 7567176000
Fees Structure
Fees may vary by year and category. Engineering fee ranges around ₹1 lakh+ per year for some programs. Check the admission team for the exact fees.
At Sigma University, students may also get:
- Merit scholarships
- Sports scholarships
- Need-based support
- Early admission benefits
Career Opportunities in AI & Data Science
This degree opens doors in sectors where data drives decisions.
Job Roles After B.Tech in AI & Data Science
- AI Engineer (₹6-12 LPA+)
- Data Scientist (₹7-15 LPA+)
- ML Engineer (₹6-14 LPA+)
- Data Analyst (₹4-8 LPA+)
- BI Developer (₹5-9 LPA+)
- Product Analyst (₹6-10 LPA+)
Salary depends heavily on projects, coding skills, internships, and communication.
Why Choose Sigma University for AI & Data Science
A degree matters, but ecosystem matters more.
Sigma University highlights:
- Large 26.7 lakh sq. ft. campus in Vadodara
- Industry-focused learning
- Placement network with 250+ recruiters
- Project-based learning culture
- Technical events
- Career guidance support
Infrastructure & Labs
Students benefit from Sigma University’s infrastructure, such as:
- Advanced computer labs
- AI & coding lab Innovation startup centres
- Library resources
- Seminar halls
- Sports and hostel facilities
Internships & Industry Exposure
At Sigma University, practical learning often includes:
- Internships
- Live datasets for projects
- Industry visits
- Capstone projects
- Hackathons
- Resume and interview training
FAQs
Excellent. AI and data skills are in demand across IT, finance, healthcare, e-commerce, logistics, and manufacturing.
Yes, basic coding is essential, especially Python, SQL, and problem-solving. You don’t need to be an expert on day one.
Freshers may start around ₹4 LPA to ₹12+ LPA depending on skill level, company, and role.
AI focuses on smart systems and automation. Data Science focuses on extracting insights from data. This program combines both.
Yes. India’s tech market is expanding rapidly, and AI-enabled roles are growing across sectors.
Yes. Most strong programs include labs, mini-projects, internships, and final-year capstone work.
Leading Companies Hiring from Our School
Leading companies hire our graduates for their industry-ready skills, strong academics, and hands-on experience.
Highest Salary Package
Recruiters
Placements
Research Paper
Our Placement Partners
At Sigma, we shape global careers with proven worldwide placements.
