The B.Tech in Artificial Intelligence and Data Science (AI & DS) at KL Deemed-to-be
University is a 4-year undergraduate program that prepares students to design
intelligent
systems, analyze complex data, and develop AI-powered solutions. This program blends
computer science, machine learning, and data science to equip students with both
theoretical
knowledge and practical skills aligned with industry and research standards.
Students learn through a blend of classroom instruction, hands-on labs, research
exposure,
and industry collaborations. The curriculum includes emerging technologies like neural
networks, deep learning, natural language processing, and big data analytics. The
program
also encourages innovation and entrepreneurship through experiential learning, with
multiple
academic tracks such as Honors through Research, Innovation, and Experiential Learning.
This program is ideal for students looking to build a career in AI, data science,
software
development, analytics, or to pursue higher studies and research in emerging technology
domains.
Program Structure
BTech AI & DS Program Curriculum
Discrete Mathematics
Design Thinking For Innovation
Fundamentals of IoT and Sensors
Computational Thinking for Problem Solving
Language Skills for Engineers
Human Values, Gender Equality and Professional Ethics
Indian Knowledge Systems: Vedic Mathematics
Linear Algebra & Calculus for Engineers
Design Tools Workshop
Data Structures Using Python
Artificial Intelligence
Communication Skills for Engineers
Social Immersive Learning - 1
Data Science and Statistics
Computational Thinking for Object Oriented Design
System Design and Introduction to Cloud
Machine Learning
Data Analytics and Visualisation
Foreign Language Elective
Social Immersive Learning - 2
Relational Algebra & Information Theory
Science Elective - 1
Design & Analysis of Algorithms
Data Management & Warehousing
Deep Learning
Full Stack Application Development
Management Elective
Social Immersive Learning - 3
Science Elective – 2
Big Data Engineering
Computer Vision Using OpenCV
Flexi Core
Professional Elective - 1
Global Logic Building Contest Practicum - 1
Open Elective - 1
Mathematics Elective
Natural Language Processing
Professional Elective - 2
Professional Elective - 3
Global Logic Building Contest Practicum - 2
Open Elective - 2
Engineering Capstone Project - 1
Professional Elective - 4
Indian Constitution
Open Elective - 3
Science Elective – 3
Engineering Capstone Project - 2
Ecology & Environment
Specializations offered By AI&DS
The B.Tech CSIT Program offers EIGHT (8) specializations
Social & Digital Media Analytics: It specializes in analysing online
platforms to understand user behaviour, sentiments, trends, and optimize marketing
strategies for enhanced digital engagement.
Healthcare Data Analytics : This involves analysing medical data to improve
patient outcomes, optimize operations, and advance medical research, using
statistical, machine learning, and AI techniques.
Distributed Ledger Analytics: This focuses on analysing data within
decentralized systems like blockchain, enabling insights into transactions,
behaviours, and performance for improved decision-making and accountability.
Autonomous Systems: It focuses on designing and implementing intelligent
systems capable of making decisions and taking actions independently, enhancing
efficiency and safety across various domains.
AI for Computational Intelligence: This is a specialization that focuses on
developing artificial intelligence algorithms and techniques inspired by natural
intelligence and computational models of learning and adaptation. It involves
designing algorithms that enable machines to learn from data, make decisions, and
solve complex problems in a manner similar to humans or other living organisms.
AI-Driven Language Technologies: It specializes in developing algorithms and
models for natural language processing tasks, enabling applications such as machine
translation, sentiment analysis, and chatbots
AI Systems for Visual Intelligence: This focuses on creating algorithms and
systems that can understand, interpret, and extract meaningful information from
visual data, revolutionizing fields like computer vision, image recognition, and
object detection.
Data Engineering for AI: This specializes in architecting, processing, and
managing large-scale datasets to support AI applications, ensuring data quality,
scalability, and efficiency for effective machine learning model training and
deployment.
Blockchain Engineering for Web3: This specializes in developing decentralized
applications (dApps), smart contracts, and protocols leveraging blockchain
technology, enabling secure, transparent, and trust-less interactions in the
decentralized web (Web3) ecosystem.
AI-Driven Edge Architectures & Applications: It focuses on designing and
implementing artificial intelligence algorithms and models tailored for edge
computing devices, enabling real-time processing and decision-making at the network
edge for enhanced efficiency and responsiveness.
Program Benefits
Why Should You Choose BTech in Artificial Intelligence and Data Science at KL
University?
Choosing the right engineering course is crucial for your future. At KL University, our
BTech
in Artificial Intelligence and Data Science program offers a wide range of benefits
designed
to meet current industry demands and prepare students for future challenges. Here's what
makes this program stand out:
1. Industry-Ready Curriculum Designed by Experts
Our curriculum is well-researched and aligned with global standards. It is carefully
crafted with inputs from academic leaders, industry experts, and researchers to ensure
our students are well-versed in foundational theories and emerging trends in AI and Data
Science.
2. State-of-the-Art Labs and Research Facilities
Students have access to advanced infrastructure, including AI research labs,
high-performance computing systems, and data analytics platforms. This helps them work
on cutting-edge projects from early semesters.
3. Annual Exhibition of AI Prototypes
Every year, students participate in exhibitions to showcase real-world applications of
their learning. These events help them build a strong portfolio and demonstrate their
capabilities to industry recruiters and academic peers.
4. Innovation, Incubation, and Startup Support
KL University supports entrepreneurial students through incubation cells and funding
opportunities. If you want to build your own AI-based startup, we help you start and
scale.
5. Semester-Wise Design Projects
Each semester includes dedicated design projects where students solve industry-specific
challenges, work on interdisciplinary ideas, and apply AI & DS tools in meaningful ways.
6. Specialization Streams with Flexibility
Students can choose from multiple specialization tracks like Machine Learning, Natural
Language Processing, Data Analytics, or Robotics, giving them the flexibility to align
their education with their career goals.
Program outcomes
PO1: Engineering Knowledge: You will learn to apply
foundational knowledge from mathematics, science, engineering
principles, and your CSIT specialisation to solve complex
engineering
problems effectively.
PO2: Problem Analysis: You'll develop the ability to identify,
formulate, research, and analyse complex engineering problems. This
involves using fundamental principles of mathematics and natural and
engineering sciences to arrive at well-supported conclusions.
PO3: Design/Development of Solutions: This outcome focuses on your
ability to design solutions for intricate engineering problems.
You'll
learn to design system components or processes while considering
important factors like public health, safety, and cultural,
societal,
and environmental impacts.
PO4: Conduct Investigations of Complex Problems: You'll be equipped
to
use research-based knowledge and methods, including designing
experiments, analysing and interpreting data, and synthesizing
information to draw valid conclusions when faced with complex
issues.
PO5: Modern Tool Usage: You will learn to create, select, and apply
appropriate techniques, resources, and modern engineering and IT
tools.
This includes understanding prediction and modelling for complex
engineering activities, while also being aware of their limitations.
PO6: The Engineer and Society: This outcome ensures you can apply
your
engineering knowledge with an understanding of its broader context.
You'll be able to assess societal, health, safety, legal, and
cultural
issues and understand your responsibilities as a professional
engineer.
PO7: Environment and Sustainability: You'll gain an understanding of
how
engineering solutions impact society and the environment. This
includes
demonstrating knowledge of, and a commitment to, sustainable
development
practices.
PO8: Ethics: A crucial outcome is your ability to apply ethical
principles and commit to professional ethics, responsibilities, and
the
established norms of engineering practice.
PO9: Individual and Team Work: You will learn to function
effectively
both as an individual contributor and as a productive member or
leader
in diverse teams, including those in multidisciplinary settings.
PO10: Communication: This outcome focuses on your ability to
communicate
effectively about complex engineering activities. You'll learn to
comprehend and write clear reports and design documentation, deliver
effective presentations, and give and receive clear instructions,
both
within the engineering community and to the wider society.
PO11: Project Management and Finance: You'll demonstrate knowledge
and
understanding of engineering and management principles. This enables
you
to apply these principles to your own work, function as a team
member or
leader, and manage projects effectively, even in multidisciplinary
environments.
PO12: Life-long Learning: The programme instills in you the
recognition
of the continuous need for learning. You will develop the
preparation
and ability to engage in independent and lifelong learning, adapting
to
rapid technological changes throughout your career.
PEO1: Practice Engineering in Diverse Applications: You will be
prepared
to apply your engineering knowledge across a wide range of
industrial,
societal, and real-world applications.
PEO2: Pursue Advanced Endeavours: The programme will motivate you to
pursue advanced education (like M.Tech or MS), engage in research
and
development, and undertake other creative and innovative efforts in
science, engineering, and technology, as well as excel in other
professional careers.
PEO3: Responsible and Ethical Conduct: You will learn to conduct
yourself in a responsible, professional, and ethical manner in all
your
professional dealings.
PEO4: Leadership and Global Contribution: You will be equipped to
participate as leaders in your fields of expertise and contribute to
activities that support service and economic development globally.
PSO1: System Identification, Design, Analysis, and Implementation:
You
will gain the ability to identify, design, and analyse complex
computer
systems. This includes the skill to implement these systems and
interpret their results effectively.
PSO2: Modern Tool Application and Integration: You will develop the
ability to select and apply current techniques, skills, and tools
necessary for computing practice. Furthermore, you'll learn to
integrate
IT-based solutions into various user environments effectively,
meeting
industry demands.
Eligibility & Admission Criteria
What Are the Eligibility Criteria for BTech AI and DS Admission?
To be considered for admission, you must have successfully passed the 10+2 or an
equivalent
examination from a recognised board. It is generally mandatory to achieve a minimum of
60%
aggregate marks in your qualifying examination. Crucially, applicants must have studied
Physics, Chemistry, and Mathematics (PCM) in their 10+2 or equivalent examination.
What Entrance Examination Qualification do I need?
In addition to fulfilling the academic qualifications, applicants are required to qualify
in
one of the following entrance examinations:
KLEEE (K L Engineering Entrance Examination), which is conducted by K L University
itself.
Recognised state-level engineering entrance examinations, such as Andhra Pradesh
EAMCET
or Telangana State EAMCET.
A valid Uni-GAUGE score (where applicable).
Fee Structure
What is the Fee Structure for BTech in AI and DS at KL University?
The fee structure for the B.Tech in AI & DS programme at K L University, Vijayawada
Campus,
comprises several components. It is important for prospective students and parents to
note
that fees are subject to periodic revision by the university.
Campus
Duration
Admission Fee
Semester Fee
Total 1st Semester
Vijayawada
4 Years
₹16,000
₹1,37,500
₹1,53,500
Hyderabad
4 Years
₹16,000
₹1,45,000
₹1,61,000
Note : The fee structure provided is based on the 2025–26 academic year and is
subject to change for the 2026–27 academic year.
Are hostel and other charges included?
No. Hostel, mess, exam, and other charges are separate. You can contact the admissions
office
for exact details.
Are there any Scholarship Opportunities?
K L University offers various merit-based and need-based scholarships. These scholarships
are
generally awarded based on a student's performance in entrance examinations (such as
KLEEE
or JEE) and their academic scores in intermediate. Eligible students are strongly
encouraged
to apply for these scholarships during the admission process.
Career Scope & Opportunities
What Career Opportunities Does a BTech in AI and DS Offer?
A B.Tech in Artificial Intelligence and Data Science (AI & DS) offers a wide range of
career opportunities. Graduates can pursue roles like:
Artificial Intelligence Researcher
Data Engineer
Data Architect
Business Intelligence Developer
Data Scientist
Machine Learning Engineer
Frequently Asked Questions (FAQs)
Ans. No prior coding knowledge is required to join BTech in Artificial Intelligence
and Data Science program at KL University. The curriculum starts with the
foundational programming and gradually builds your coding skills.
Ans. Both are excellent but your choice depends on your career goals. If you are
looking for a broad foundation in Computer Science then CSE could be the right
choice, if you want to build strong foundation in machine learning, big data
analytics, natural language processing then AI and DS could be the better fit.
Ans. Yes, KL University offers a range of merit-based and need-based scholarships
for BTech AI and DS students. Scholarships are awarded based on performance in
entrance exams (like KLEEE or JEE), Class 12 academic scores. Eligible students can
apply during the admission process.
Ans. Yes, KL University has strong industry collaborations and a dedicated placement
cell that facilitates internships with top tech companies, startups, and research
labs.
Ans. B. Tech AI and DS graduates are recruited by leading tech companies that
include Infosys, Accenture, Cognizant, Accenture and various other AI-focused
organizations.
Ans. If you are passionate about technology, problem-solving and interested in
fields like machine learning, big data and artificial intelligence, then choosing B
Tech in AI and Data Science is ideal. This program will help you to equip you with
skills to solve real-world problems.
Still have Queries? Contact Us
Please fill in the form and an expert from the admissions office will call you.
Helpline : +91 7815901716 , Monday To Saturday -
9am To 5pm (Except Public Holidays).
