Brief Overview

Bachelor of Technology in Artificial Intelligence and Machine Learning – BTech AI and ML

With a deliberate emphasis on striking an optimal balance between theoretical knowledge and practical experience, this programme is designed to meet the escalating industry demand for skilled individuals. It ensures a comprehensive understanding of algorithms and methodologies and the strategic integration of acquired data in developing Al systems.

Duration

B. Tech. (Regular): Four Years / Eight Semesters

B. Tech. (Lateral): Three Years / Six Semesters

PEO (Program Educational Objectives)

PEO 1:

To equip graduates with a strong foundation in computing principles and emerging technologies, enabling them to design, develop, and innovate scalable and intelligent solutions

PEO 2:

To develop graduates with leadership, problem-solving, and entrepreneurial skills to drive technological advancements and contribute to industry, research, and startup ecosystems

PEO 3:

To instill ethical responsibility, sustainability, and a commitment to using technology for addressing global and societal challenges.

PEO 4:

To cultivate expertise in AI and ML algorithms, enabling graduates to build intelligent and adaptive systems

PSO (Program Specific Outcomes)

PSO 1:

To design, implement, and optimize intelligent, secure, and scalable computing solutions by integrating emerging technologies.

PSO 2:

To apply computational thinking and interdisciplinary knowledge to develop innovative, ethical, and sustainable technology solutions that address real- world societal and industrial challenges.

PSO 3:

To develop machine learning models that enhance automation, personalization, and decision support in various domains

PO (Program Outcomes)

PO 1. Engineering Knowledge:

Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.

PO 2. Problem Analysis:

Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)

PO 3. Design/Development of Solutions:

Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)

PO 4. Conduct Investigations of Complex Problems:

Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).

PO 5. Engineering Tool Usage:

Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)

PO 6. The Engineer and The World:

Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).

PO 7. Ethics:

Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)

PO 8.

Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

PO 9. Communication:

Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences

PO 10. Project Management and Finance:

Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

PO 11. Life-Long Learning:

Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8).

Curriculum Structure

Year 1
Semester-wise Syllabus
First Semester
  • Calculus and Linear Algebra
  • Chemistry
  • Physics - I 
  • Innovations and Inventions in Engineering 
  • Applied Physics
  • Business Communication and Logical Reasoning  
  • Logic Building using JAVA 
  • Biology
  • Universal Human Values
  • Sustainable Development Goals 
  • Learning How to Learn
  • Prompt Engineering
  • Advising Seminar
Second Semester
  • Advanced Calculus and Differential Equations 
  • Chemistry / Physics - I
  • Design Thinking and Innovation 
  • Applied Physics / Business Communication and Logical Reasoning
  • Programming in Python 
  • 2D / 3D Modelling and prototyping
  • Biology / Universal Human Values
  • Excel and Power point 
  • Industry 4.0 Specialization
Year 2
Semester-wise Syllabus
Third Semester
  • Discrete Mathematics? 
  • Data Structures and Algorithms 
  • Foundations of Artificial Intelligence?? 
  • Object Oriented Analysis and Design
  • Open Elective L 1? 
  • Analytical Skills? 
  • Verbal Ability
  • Product Design and Realization
  • Social Internship
  • Data Analytics in Power BI
  • Influencing People
Fourth Semester
  • Linear Algebra
  • Machine Learning
  • Operating Systems
  • Architectures for Management of Large Datasets?? 
  • Minor Elective - I  
  • Open Elective L II? 
  • Solving for Bharath?
  • Critical Thinking
  • Successful Negotiation: Essential Strategies and Skills 
  • Story Telling & Influencing - Communication with Impact
Year 3
Semester-wise Syllabus
Fifth Semester
  • Probability Theory and Statistical Inference
  • Deep Learning? 
  • Computer Networks
  • Natural Language Processing? 
  • Minor Elective - II
  • Design Project - I
  • Soft Skills
  • Decision-Making: Blending Art & Science 
  • Build personal resilience
Sixth Semester
  • Automata and Compiler Design
  • Big Data Visualization
  • Scala Programming
  • Minor Elective - III
  • Minor Elective - IV
  • Industry Certification
  • Design Project – II
  • Soft Skills
  • Aptitude
  • Verbal Ability
Year 4
Semester-wise Syllabus
Seventh Semester
  • Data Exploration and Preparation
  • Minor Elective - V
  • Minor Elective – VI
  • Open Elective I
  • Professional Ethics
  • Capstone Project - I
  • Industry Internship Program
Eighth Semester
  • Disaster Management
  • Indian Knowledge System - IKS
  • Environmental Sciences – EVS
  • Open Elective II
  • Legal Awareness and IPR
  • Capstone Project - II
Electives
Semester-wise Syllabus

Open Elective L 1

  • French Language - I
  • German Language - I
  • Hindi Language - I
  • Kannada Nudi - I
  • Kannada Language- I
  • Spanish Language - I

Open Elective L2

  • French Language - II
  • German Language - II
  • Hindi Language - II
  • Kannada Nudi - II
  • Kannada Language- II
  • Spanish Language - II

Minor Electives

Minor - Aeronautics

  • Heat and Mass Transfer
  • Control System Engineering
  • Aircraft Stability and Control
  • Aircraft Navigation and Guidance
  • Aircraft Design
  • Computational Fluid
  • Dynamics

Minor - Astronautics

  • Heat and Mass Transfer
  • Control System Engineering
  • Spacecraft Stability and Control
  • Spacecraft Navigation and Guidance
  • Spacecraft Design
  • Spacecraft Instrumentation and Systems

Minor – Unmanned Aeriel Vehicle

  • Introduction to Drone Technology
  • Control System Engineering
  • Electronics and Embedded Systems
  • Digital Image Processing
  • Regulatory Compliance and Safety for UAV’s
  • Flight Dynamics and Control

Minor – Avionics

  • Introduction to Avionics
  • Control System Engineering
  • Digital Signal Processing
  • Aircraft Navigation Systems
  • Radar Technology
  • Avionics System Design

Minor - Geoenvironmental & Infrastructure Engineering

  • Air Pollution and control
  • Advanced Concrete Technology
  • Construction Project Management
  • Ground Improvement Techniques
  • Remote Sensing and GIS
  • Geoenvironmental Engineering

Minor: Structural Engineering

  • Introduction to Building Information Modeling
  • Computer Aided Building Planning & Drawing
  • Design of Pre-stressed Concrete Structures
  • Remote Sensing and GIS
  • Machine Learning for Civil Engineering Applications
  • Introduction to Finite Element method

Minor: Nature Based Solution

  • Natural intelligence: Introduction to Nature based solutions.
  • Back to roots: Designing Tomorrow’s Urban Ecosystems
  • Sponge cities: Water & Climate Resilience
  • Soil to Spoon: Urban Soils and Food Systems
  • Breathing Space: Nature, Wellbeing & Public Life
  • EcoCraft: Tech, Design, and Innovation for NBS

Minor: Sustainable Technology

  • Sustainable cities
  • Green Circuits: IoT and Sensing for Smart Environments
  • Renew the Grid: Renewable Energy & Urban Power Solutions
  • Waste into Wealth: E-Waste & Sustainable Materials
  • Design for Earth: Biomimicry & Regenerative Innovation
  • The Last Mile: Community-Driven Sustainability Tech

Minor: Smart Systems

  • Smart System Design and Applications
  • Introduction to Industry 4.0 and IIoT
  • Neural Networks and Deep Learning
  • IoT Programming
  • Real Time Operating System
  • Federated Learning

Minor: Game Development

  • Game Development Fundamentals
  • Computer Graphics
  • Programming using C# with Unity
  • Human-Computer Interaction
  • Augmented and Virtual Reality
  • Mobile Game Development

Minor: Business Systems

  • Business Information Systems
  • Data Mining and Data Warehousing
  • Data Analytics
  • Neural Networks and Deep Learning
  • Business Analytics
  • Financial Analytics       

Minor: Quantum Computing

  • Foundations of Quantum Science
  • Fundamentals of Quantum Computing
  • Quantum Hardware and Error Correction
  • Quantum Deep Learning Algorithms
  • Quantum Communication
  • Quantum Cryptography and Security            

Minor: Data Science

  • Foundations of Data Science
  • Data Mining and Data Warehousing
  • Neural Networks and Deep Learning
  • Natural Language Processing
  • Big Data Analytics
  • Generative AI         

Minor: Software Product Development

  • Web Technologies
  • Full Stack Development
  • DevOps
  • Mobile Application Development
  • Neural Networks and Deep Learning
  • Software Testing and Quality            

Minor: Artificial Intelligence & Futuristic Technologies

  • Augmented and Virtual Reality
  • Cloud Technologies
  • Data Mining and Data Warehousing
  • Neural Networks and Deep Learning
  • Blockchain Technologies
  • Generative AI

Minor: Artificial Intelligence & Machine Learning

  • Foundations of Data Science / Artificial Intelligence
  • Data Mining and Data Warehousing / Expert Systems
  • Neural Networks and Deep Learning / Soft Computing
  • Reinforcement Learning / Machine Learning
  • Generative AI / Computer Vision
  • Optimization Techniques / Human-Computer Interaction        

Minor: Cyber Security

  • Foundations of Cyber Security
  • Ethical Hacking / Cyber Forensics
  • Penetration Testing and Vulnerability Assessment / Network Défense
  • Threat Analysis and Reverse Engineering
  • Cyber Forensics
  • Security Orchestration and Automation / Cyber Laws, Secure Governance, and Business Continuity

Minor: iOS Application Development

  • Foundations of Swift Programming
  • Fundamentals of Swift Programming Storyboard 
  • Swift Data Collection - I
  • UI/UX Design for iOS
  • Swift Data Collection - II
  • iOS Application Security and Privacy 

Minor – Data Engineering

  • Exploratory Data Analysis
  • Data Modeling with NoSQL Database
  • Data Warehousing and Data Mining
  • Spark for Data Science
  • Business Analytics
  • Data Visualization and Storytelling

Minor – Full Stack Development

  • Web Technologies and Client Side Scripting/ Web Development using HTML, CSS & JS
  • Advanced JavaScript for Frontend Development/ Front-end Technologies
  • Server-Side Scripting with JavaScript/ REST API Integration
  • Development with .NET Framework/ DevOps
  • Java Full Stack Development/ Cloud Computing
  • DevOps with Continuous Integration / Deployment / Web Security

Minor – Cloud Computing

  • Principles of Cloud Computing
  • Virtualization and Containerization/ Cloud Application Development and Deployment
  • Cloud Security and Compliance / Micro Services Architecture and Implementation
  • DevOps and Cloud Automation/ Serverless Computing
  • Enterprise DevOps with Performance Optimization/ Cloud Security and Compliance
  • Serverless Computing and Edge Computing/ Rapid Development using AI

Minor –Natural Language Processing and Text Analytics Systems

  • Advanced Python Programming
  • Text Preprocessing and Feature Extraction
  • Deep Learning for NLP
  • Language Models (GPT, BERT)
  • Speech Recognition and Generation
  • Information Retrieval and Text Mining

Minor – Computer Vision and Image Analysis

  • Advanced Python Programming
  • Computer Vision
  • Image Segmentation
  • Object Detection and Tracking
  • 3D Vision and Reconstruction
  • AI in Video Analysis and Motion Detection

Minor – AI in Autonomous Systems

  • Advanced Python Programming
  • Reinforcement Learning for Robotics
  • AI for Autonomous Systems
  • Navigation and Path Planning
  • Robot Perception and Control
  • AI in Self-Driving Cars

Minor – Blockchain Technologies

  • Blockchain and Distributed Ledger Technologies
  • Gen AI using Watson X
  • Blockchain as a Service
  • Cryptocurrency and Digital Assets
  • Identity Access Management
  • Blockchain Developer

Minor: Internet of Things

  • Introduction to IoT (IBM)
  • IoT Protocols and Communication
  • Wireless Sensor Networks
  • Cloud Computing for IoT
  • IoT Security and Privacy
  • Data Analytics for IoT

Minor – DevOps

  • DevOps
  • Automation and Scripting for DevOps
  • MLOps
  • Container with Docker and Kubernetes.
  • AI Driven Test
  • DevSecOps

Minor – Immersive Technology

  • Game Development with Unity and C#
  • Augmented Reality Development
  • Virtual Reality Interaction
  • 3D Modelling and Animation with Blender
  • Unity Game Optimization
  • Metaverse Technologies

Minor – Advanced AI and Blockchain

  • Advanced Python Programming
  • Generative AI Models
  • AI Ethics and Legal Considerations
  • Pattern Recognition
  • AI for Cybersecurity
  • Blockchain and Distributed Systems

Minor – AI for Healthcare and Life Sciences

  • Advanced Python Programming
  • AI in Medical Imaging
  • Data Science for Healthcare
  • Natural Language Processing for Healthcare
  • Predictive Analytics for Patient Care
  • AI for Drug Discovery and Personalized Medicine

Minor – AI for Robotics and Automation

  • Advanced Python Programming
  • Robotics Vision Systems
  • AI for Autonomous Systems
  • Reinforcement Learning for Robotics
  • Robot Perception and Control
  • Human-Robot Interaction

Minor – Cybersecurity and Privacy in AI

  • Advanced Python Programming
  • Intrusion Detection Systems
  • Cryptography and Blockchain for Security
  • Privacy- Preserving Machine Learning
  • AI for Cybersecurity
  • Ethical Hacking and Penetration Testing

Minor: Data Analytics

  • Software foundation course-basics
  • Business Intelligence using Cognos
  • Data Visualization using R, Python and Watson Studio
  • IBM CE - Predictive Modelling using SPSS Modeler
  • IBM CE - Text Analytics
  • Generative AI using WatsonX

Minor: Embedded Systems and IoT

  • Proteus-Based Sensor Applications
  • Embedded System Design
  • Embedded C
  • Real Time Operating Systems
  • Embedded Hardware Security
  • Intelligent Systems

Minor: Next Generation Wireless Systems

  • Advanced Digital Communications
  • Wireless Sensor Network
  • Modern Wireless Communications
  • Next Generation Wireless Communications
  • Optical Wireless Communications for Beyond 5G Networks and IoT
  • Autonomous Connected Vehicles

Minor: Semiconductor Technology

  • CMOS VLSI Design
  • HDL for IC Design
  • SoC Verification and Testing
  • Mixed Signal VLSI Design
  • Design optimization using AI-ML
  • Semiconductor Packaging and Manufacturing

Minor: Bio Medical Engineering

  • Biomedical Instrumentation
  • Biomedical Signal Processing
  • Smart Healthcare Systems
  • Medical Image Processing
  • Smart Medical Wearables
  • Medical Machine Learning

Minor: Automotive Electronics

  • Advanced Communication Systems
  • Automotive Systems Engineering and Safety
  • Software Defined Vehicles
  • Connected Vehicles and Security
  • Perception and Control for Autonomous Driving
  • Sensing for Autonomous Vehicles

Minor – Electric Vehicle Technology

  • Electric Vehicle Architecture
  • Battery Management System
  • Smart Sensors and Actuators
  • EV Design and Control
  • EV Charging System
  • AI and Machine Learning for Autonomous Electric Vehicles

Minor – Energy management and Audit

  • Fundamentals of Energy Management
  • Energy Audit and Assessment Technique
  • Energy-Efficient Technologies and Smart Systems
  • Energy Economics and Financial Analysis
  • Legal, Policy, and Regulatory Framework
  • Renewable Energy and Sustainable Energy Planning

Minor – Smart Grid and E-Mobility

  • Fundamentals of Smart Grid and E-mobility
  • Hybrid Electric Vehicle with Grid Integration
  • Energy storage Technology
  • Smart grid operation using SCADA system
  • Smart Grid Network Security and AI enabled Power Distribution
  • Charging Infrastructure, Policy and Sustainability for Evs

Minor – Green Technology

  • Introduction to Green Technology and Sustainability
  • Renewable Energy Systems and Storage
  • Hydrogen Energy- Generation, Storage and Utilization
  • Green Building Design and Energy Efficiency
  • AI in Green Technology
  • Green Transportation and Low-Carbon Mobility

Minor - Robotics and Automation

  • Kinematics and Dynamics of Robotics
  • Robot Operating System
  • Mobile Robots
  • Application of AI in Robotics and Automation
  • Robotic Drives and Actuators
  • Soft Robots

Minor - Smart Manufacturing Technology

  • Digital Manufacturing and Rapid Prototyping
  • Smart Materials and Structures
  • Big Data Analytics in Manufacturing
  • Product Design, Development and Life Cycle Management
  • Industrial Automation and Control
  • Digital Twin and Biomimicry in Manufacturing

Minor - Performing Arts and Creative Technologies

  • Foundations of Performing Arts
  • Acting, Movement, and Performance Technology
  • Music and AI: Sounds of the Future
  • Dance, Choreography, and Motion AI
  • Storytelling in the Age of AI
  • Performance Production and Digital Stagecraft

Minor - Entrepreneurship

  • Foundations of Entrepreneurship
  • Design Thinking and Innovation
  • Business Models and Startup Strategy
  • Entrepreneurial Finance and Fundraising
  • Marketing, Branding & Digital Growth
  • Legal, IP & Startup Operations
Calculus and Linear Algebra
Calculus and Linear Algebra
Chemistry / Physics -I
Innovations and Inventions in Engineering
Applied Physics
Business Communication and Logical Reasoning
Logic Building using JAVA
Biology / Universal Human Values
Sustainable Development Goals
Advanced Calculus and Differential Equations
Design Thinking and Innovation
Programming in Python
2D/3D Modelling and prototyping
Discrete Mathematics
Data Structures
Programming in JAVA
Digital Principles and Computer Organization
Analytical Skills
Verbal Ability
Product Design and Realization
Social Internship
Probability Theory and Statistical Inference
Design and Analysis of Algorithms
Data Communication and Computer Networks
Database management System
Solving for Bharath
Critical Thinking
Numerical Methods and Statistical Techniques
Operating Systems
Theory of Computation
Cryptography and Network Security
Design Project - I
Soft Skills
Compiler Design
Software Engineering and Agile Development
Object Oriented Analysis and Design
Industry Certification
Design Project - II
Software Testing
Professional Ethics
Capstone Project - I
Industry Internship Programme
Disaster Management
Indian Knowledge System
Environmental Sciences
Legal Awareness and IPR
Capstone Project - II
The AI & ML Minor Elective is designed to provide students with foundational and advanced knowledge in artificial intelligence and machine learning. It includes subjects such as Introduction to Artificial Intelligence, which covers core AI concepts and problem-solving techniques; Introduction to Machine Learning, focusing on data-driven models and learning algorithms; Advanced Deep Learning, which explores neural networks and modern deep learning architectures; and Human–Computer Interaction (HCI), emphasizing user-centered design and intelligent system interaction. This minor equips students with practical skills and conceptual understanding to develop intelligent, data-driven, and user-friendly applications.
Sed ut perspiciatis

Capstone Project

The Capstone Project enables students to apply their academic learning to real-world problems, working individually or in teams while integrating core and elective concepts. The course fosters problem-solving ability, innovation, teamwork, and advanced technical skills, encouraging students to develop practical and research-oriented solutions. Key outcomes include the development of deployable solutions, research publications, patent filings, and potential research funding opportunities. Offered across Semesters 7 and 8, the Capstone Project serves as a portfolio-ready experience that enhances students’ preparedness for professional careers, higher studies, and research-driven pathways.

COURSE OF INDEPENDENT STUDY

Independent Study

The Course of Independent Study (CIS) is a 3-credit Open Elective introduced by the University as part of its Outcome-Based Competency-Focused Curriculum (OBCFC), designed as a 10-week mentored research engagement that replaces traditional classroom learning with competency-driven, independent research work. The course enables students to develop core competencies such as problem identification, analytical thinking, research methodology, ethical inquiry, and scholarly communication, and is assessed through structured progress reviews, successful execution of a defined project plan, and the submission of a full-length research paper to a Scopus-indexed journal or conference, followed by a final presentation and viva. The Department of Computer Science and Engineering (CSE) plays a key role in implementing CIS by offering research projects aligned with emerging areas such as Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Cloud Computing, Blockchain, and Software Engineering, with faculty mentors guiding students through all stages of the research lifecycle using modern tools and real-world datasets available in departmental laboratories and Centres of Excellence. Through a strong emphasis on research documentation, publication, and professional presentation, CIS fosters a robust undergraduate research culture and reinforces the department’s commitment to competency development, research excellence, and industry-relevant education, preparing students for higher studies, innovation, and research-oriented careers. Few topis for CIS are: Leveraging Brain Tumor Detection and Classification using Vision Transformer Models and Explainable AI Trustworthy AI, A Framework for Auditable and Tamper-Resistant Decision System Explainable AI-Based Student Performance Predictor with Transparent Feedback Insights Predict and negotiate optimal crop prices in real-time using market, weather, and logistics conditions using multiagent systems.

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ACTIVITY POINTS

Activity Points

The Activity Points Program is designed to encourage involvement in co-curricular, extracurricular, and community activities beyond academics. It helps students develop valuable life skills, explore interests, and make the most of their time at the institute. Students must earn a minimum of 100 Activity Points per semester from Semester 1 to Semester 6 by participating in approved activities such as clubs, cultural events, sports, and community service. Maintaining a qualifying grade in Activity Points is mandatory for successful completion of the academic program, with a total requirement of 600 points.

Student

Being a B.Tech. IT student at Alliance University has been a truly engaging experience. The program combines strong fundamentals with practical exposure through projects and hands-on learning, helping me understand real-world applications of technology. With supportive faculty and a collaborative environment, I’ve been able to grow in both skill and confidence, preparing me for a career in IT.

Aashish Kumar
Batch: 2022-26

My journey as a B.Tech CSE student at Alliance University has been both challenging and rewarding.The curriculum builds strong fundamentals while emphasising hands-on learning through projects and real-world applications. With approachable faculty and opportunities to collaborate and participate in technical events, learning goes beyond the classroom. Overall, the experience is shaping me into a confident engineer and problem-solver.

Nawneet Raj
Batch: 2022-26

My experience pursuing B.Tech in Computer Science Engineering at Alliance University has been highly rewarding. The program offers a well-balanced curriculum that combines strong theoretical foundations with practical exposure.The faculty members are knowledgeable and supportive, always encouraging us to explore beyond the classroom. Through projects, hackathons, and hands-on learning, I was able to develop both technical and problem-solving skills.The campus environment and infrastructure further enhance the learning experience. Overall, this journey has played a significant role in shaping my skills and preparing me for a career in the tech industry.

Anurag Kumar Prajapati
Batch: 2023-2027

As a final-year BBA student at Alliance University, my journey has been both enriching and transformative.The program strengthened my business fundamentals while giving me hands-on exposure through projects and discussions, building my confidence in decision making. With supportive faculty, collaborative peers, and opportunities beyond academics, I’ve grown both personally and professionally.
Alliance University has shaped me into a confident, career-ready individual.

ARYAN AGARAHARI
Batch: 2023-2026

What I’ve experienced at Alliance University is not just learning business, but learning how to think like one.
Through projects, presentations, and exposure to areas like marketing and finance, I’ve built both clarity in thought and confidence in expression.
The environment constantly encourages you to take initiative, and that has made all the difference in preparing me for the professional world.

Rajnandini Malewadi
Batch: 2025-2029

As a second-year B. Design student at Alliance University, my journey so far has been about learning to think beyond just creating.
The program has helped me move from focusing only on aesthetics to understanding users, context, and the purpose behind every design decision. The learning environment encourages us to question ideas, experiment freely, and develop our own design perspective, while also building discipline in how we execute and present our work.
In these two years, I’ve grown not just in skills, but in the way I approach problems  and that’s what makes studying design at Alliance University truly meaningful.

Anannya Jain
Batch: 2024-2029

Looking back, what stands out about my time at Alliance University is not just what I’ve learned, but how I’ve learned to think.
The shift from simply studying law to questioning, interpreting, and forming my own perspective has been gradual but meaningful. Through moots, discussions, and real-world context, learning has felt active and engaging.
Today, I find myself more confident in how I analyze, articulate, and respond — and that, more than anything else, defines my journey here.

Chelana Sanklecha
Batch: 2021- 2026

Somewhere along my journey at Alliance University, BBA LL.B. became less about subjects and more about understanding connections.
The blend of business and law, through case studies and practical exposure, has helped me think more holistically and respond with clarity.
What I take forward is not just knowledge, but confidence in how I analyse and approach situations.

Shreya Pragadh
Batch: 2023-2028

Studying B.A. LL.B. at Alliance University has changed how I think, more than anything else.
It’s not just about learning law  it’s about learning how to question it. From analysing cases to participating in moots, every experience pushes you to form your own perspective rather than rely on ready-made answers.
What makes this journey meaningful is the environment. The faculty guide without restricting, and the constant exchange of ideas keeps you engaged.Somewhere along the way, you realise you’re not just studying law you’re learning how to think with clarity, argue with purpose, and respond with responsibility.

ISHITA SHUKLA
Batch: B.A.LL.B.

My MBA experience at Alliance University has been highly enriching. The program combines strong academics with practical exposure, helping me develop critical thinking and leadership skills. Supportive faculty, industry-oriented curriculum, and various learning opportunities have prepared me well for a successful career.

Palak Jain
Batch: 2025-2027

My experience pursuing BCA in Artificial Intelligence and Machine Learning at Alliance University has been both challenging and enriching. The program has helped me build a strong foundation in programming, data science, and analytical thinking. Through projects, assignments, and practical exposure, I have gained valuable skills that prepare me for real-world technology and AI applications.

Anuska Ghosh
Batch: 2024-2028

Alliance University has helped me build a strong foundation in computer science and technology. The program combines theoretical knowledge with practical learning through projects and assignments. I have gained exposure to areas like programming, data structures, machine learning, NLP, and AI related concepts so far. The collaborative environment and supportive faculty encourage continuous learning and problem-solving. Overall, it has been a valuable step in developing my technical and analytical skills.

Vishesh Gurnani
Batch: 2024-2028
Program Eligibility Criteria

For Regular

10+2 from recognized Board / Council with Minimum 50% marks in Physics & Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational Subject.

Score in JEE (Main); JEE (Advanced); Karnataka CET; COMED-K; AUEET (Alliance Undergraduate Engineering Entrance Test); or any other State-Level engineering entrance examination.

For Lateral Entry

Passed Diploma examination with at least 50% marks in relevant branch of Engineering and Technology.

Passed B. Sc. Degree from a recognized University as defined by UGC, with at least 50% marks & passed 10+2 examination with Mathematics as a subject.

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST.

STUDY ABROAD OPTIONS

Learn Across Borders

Alliance University offers a range of international academic programmes designed to broaden students’ global exposure, enhance cross-cultural understanding, and provide valuable international academic experience. These include Semester Exchange Programs, International Summer School Programs, Dual Degree Programs, and Twinning Programs, all of which aim to expand academic perspectives, introduce students to varied instructional strategies, and prepare them to address complex global challenges with versatile skills.Under these programs, students can:

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FAQS

Everything You Need to Know

Yes. Artificial Intelligence and Machine Learning are rapidly expanding fields, offering robust career stability and diverse global opportunities, making them the most significant domains for the future.
For admission to the B.Tech. program, the University considers scores from JEE (Main), JEE (Advanced), K-CET, or any other recognised state-level engineering entrance examination. Applicants who have not appeared for these exams can take the Alliance University Engineering Entrance Test (AUEET) to be eligible for admission to the B.Tech. in Artificial Intelligence and Data Science program.
Candidates must have completed Class 12 with Physics, Mathematics, and Chemistry, along with Biology or Computer Science as compulsory subjects with at least 50% marks in aggregate. Admission considers scores from JEE (Main), JEE (Advanced), K-CET, COMED-K, AUEET, or other state-level engineering entrance exams. For further details, refer to the eligibility criteria in the Admissions Process Page.
The B. Tech. in AI and ML program opens up a wide range of opportunities across emerging and high-impact domains such as robotics, predictive analytics, automation, natural language processing, computer vision, and advanced research, equipping students to contribute to innovative technological solutions and drive the future of AI and data-driven industries.
The B. Tech. program in AI and Machine Learning at Alliance University is designed to equip students with in-depth knowledge of artificial intelligence, machine learning, and data-driven systems. Beyond theoretical foundations, the program emphasises learning through real-world projects, internships, and industry mentorships and collaborations. The program further enhances global opportunities through international student exchange programs and exclusive sessions with international faculty, allowing students to build global networks and access broader career prospects.
Graduates can work as AI Engineers, ML Specialists, Data Scientists, Automation Architects, NLP Experts, or Research Scientists.
The B. Tech. AI and Data Science program at Alliance University encourages students for roles in AI automation and predictive modelling through industry acclimations through live projects, internships at top firms, hackathons, research collaborations, industry mentorship, and industry-driven challenges.
The program stands out for its strong industry tie-ups, global exposure, hands-on projects, and state-of-the-art AI laboratories. In addition, personalised career mentoring ensures that each student receives guidance tailored to their goals, preparing them for successful careers in the AI and technology sectors.
Students work with TensorFlow, PyTorch, Scikit-Learn, Hadoop, cloud platforms (AWS, Azure), and GPU-powered AI labs in the B. Tech. AI and ML program.
Unlike a general Computer Science program, the B. Tech. in AI and ML program focuses specifically on Artificial Intelligence and Machine Learning, offering in-depth exposure to AI technologies, automation, predictive models, and advanced AI tools, preparing students for specialised roles in the evolving AI industry.
IT, FinTech, Healthcare, E-commerce, Cybersecurity, Automotive, Manufacturing, and EdTech sectors.
Yes. As a part of their B. Tech. curriculum, students are involved in hackathons, live projects, case studies, internships with top firms, and research collaborations for practical exposure and to build domain expertise.
The curriculum includes interdisciplinary modules connecting AI with IoT devices, secure systems, and cloud-based AI services
Certifications in AWS AI/ML, Google TensorFlow, Microsoft Azure AI, and other industry-recognised AI/ML programs.
Yes. Graduates can pursue careers abroad or continue higher studies at leading global universities.