Brief Overview

Bachelor of Technology in Artificial Intelligence and Data Science – BTech AI and Data Science

The B. Tech. in Artificial Intelligence & Data Science (AIDS) is designed to equip students with the knowledge and skills to build intelligent systems and extract actionable insights from complex data. The programme blends core computer science with specialised training in AI, machine learning, deep learning, natural language processing, and big data analytics.

Students gain hands-on experience with data engineering, cloud computing, and advanced analytics tools, along with practical exposure to real-world applications in domains such as healthcare, finance, manufacturing, smart cities, and cybersecurity. The curriculum emphasises programming, statistical modelling, and data visualisation, while fostering problem-solving, critical thinking, and innovation.

Through industry projects, internships, and research opportunities, graduates are prepared for careers as AI engineers, data scientists, machine learning specialists, business intelligence analysts, and technology innovators, ready to meet the growing demands of the AI-driven economy.

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 develop AI-driven problem solvers who can extract insights from vast datasets and build predictive models

PSO (Program Specific Outcomes)

PSO1 :

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

PSO2 :

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

PSO3 :

To design and implement AI and data analytics solutions that drive decision-making and innovation across industries

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
  • Activity Points 1
Second Semester
  • Advanced Calculus and Differential Equations
  • Physics I / Chemistry
  • Design Thinking and Innovation
  • Business communication and Logical Reasoning / Applied Physics
  • Programming in Python
  • 2D / 3D Prototyping
  • Universal Human Values / Biology
  • Excel and Power point
  • Industry 4.0 Specialization   
  • Activity Points 2
Year 2
Semester-wise Syllabus
Third Semester
  • Numerical Methods and Statistical Techniques
  • Object Oriented Programming Using Java
  • Data Structures and Algorithms
  • Artificial Intelligence
  • Open Elective L 1
  • Analytical Skills
  • Verbal Ability
  • Product Design and Realization
  • Social Internship
  • Data Analytics in Power BI
  • Influencing People
  • Activity Points 3
Fourth Semester
  • Probability Theory and Random Process
  • Machine Learning
  • Operating Systems
  • Architectures for Management of Large Datasets
  • Open Elective L 2
  • Programme Elective - I
  • Solving for Bharath
  • Critical Thinking
  • Successful Negotiation: Essential Strategies and Skills
  • Story Telling & Influencing - Communicate with Impact
  • Activity Points 4                            
Year 3
Semester-wise Syllabus
Fifth Semester
  • Discrete Mathematics
  • Deep Learning
  • Computer Networks
  • Natural Language Processing
  • Design Project - I
  • Programme Elective - II
  • Soft Skills
  • Decision-Making: Blending Art & Science
  • Build personal resilience
  • Activity Points 5
Sixth Semester
  • Scala Programming
  • Big Data Visualization
  • Automata and Compiler Design
  • Programme Elective - III
  • Programme Elective - IV
  • Industry Certification
  • Design Project - II
  • Soft Skills
  • Aptitude
  • Verbal Ability
  • Activity Points 6    
Year 4
Semester-wise Syllabus
Seventh Semester
  • Data Exploration and Preparation
  • Programme Elective - V
  • Programme 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
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
Courses
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
The Alliance School of Advanced Computing (ASAC) offers a structured set of 17 Minor Tracks, designed to provide focused specialization alongside the core degree programme. Each minor distributed across the 4th to 7th semesters, enabling progressive skill development from foundations to advanced and applied competencies. These minors are aligned with emerging technologies, industry needs, and future career pathways.
Smart Systems
Focuses on the design and development of intelligent, connected systems by integrating IoT, AI, embedded systems, and real-time operating systems
Students learn to build adaptive systems for industrial automation, smart infrastructure, and next-generation cyber-physical systems.
Immersive Game Design and Development
This minor integrates creativity and computing through game design, computer graphics, 3D modeling, AR/VR, and metaverse technologies
It prepares students to design immersive digital experiences for entertainment, education, and simulation.
Business Systems
Bridges information technology with business decision-making by combining enterprise systems, analytics, AI, and financial modeling
Students gain skills to design data-driven business solutions and intelligent enterprise platforms.
Software Product Development
Emphasizes end-to-end software engineering, covering web technologies, full stack development, DevOps, microservices, mobile applications, and quality assurance to build scalable, production-ready software products.
Artificial Intelligence & Futuristic Technologies
Introduces students to next-generation technologies including AI, cloud, blockchain, data warehousing, and generative AI
The track prepares learners to architect secure, intelligent, and future-ready digital systems aligned with Industry 5.0.
Artificial Intelligence & Machine Learning
Provides strong foundations in AI and ML, covering Python programming, machine learning algorithms, deep learning, computer vision, and human–computer interaction to design intelligent, ethical, and user-centric AI systems.
Cyber Security
Equips students with skills in ethical hacking, penetration testing, cyber forensics, threat analysis, and security automation to defend modern digital infrastructures against evolving cyber threats.
iOS Application Development
Focuses on building secure, high-performance mobile applications for Apple’s ecosystem using Swift, UI/UX design principles, data handling, and privacy-aware application security practices.
Data Engineering
Prepares students to design and manage large-scale data pipelines, big data systems, stream processing frameworks, and visualization tools essential for modern analytics and AI-driven applications.
Cloud Computing
Covers cloud infrastructure, application deployment, service management, serverless computing, security, and AI-powered automation across major cloud platforms, enabling scalable and resilient cloud solutions.
Artificial Intelligence for Data Science
Integrates AI, machine learning, big data analytics, NLP, computer vision, and generative AI to transform raw data into actionable insights and intelligent decision-support systems.
Data Analytics
Focuses on data modeling, mining, warehousing, distributed analytics, web analytics, and business intelligence to support evidence-based decision-making across domains.
Full Stack Development
Develops expertise in frontend, backend, databases, DevOps, and web security, enabling students to build complete, secure, and scalable web applications.
AI in Autonomous Systems
Specializes in AI-driven robotics and autonomous technologies, including robotics vision, reinforcement learning, perception, control systems, and human–robot interaction.
Blockchain Technologies
Covers blockchain fundamentals, cryptography, smart contracts, decentralized applications, and enterprise blockchain solutions, with applications in business and cloud-based ecosystems.
Internet of Things (IoT)
Focuses on connected device ecosystems, IoT protocols, wireless sensor networks, cloud integration, security, and analytics for smart homes, industries, and cities.
DevOps
Emphasizes automation, CI/CD, containerization, Kubernetes, MLOps, DevSecOps, and AI-driven testing to enable reliable, scalable, and secure software delivery pipelines.
We offers a flexible Open Elective framework that enables students to broaden their academic horizons beyond their core and minor disciplines. The Open Electives are designed to promote interdisciplinary learning, global exposure, and holistic skill development, empowering students to explore diverse domains aligned with their personal interests and career aspirations.
We provides two categories of Open Electives, allowing students to choose courses either across disciplines or to develop language and cultural proficiency.
Category I: Interdisciplinary Open Electives (from Other Schools)
Students may choose Open Elective courses offered by other Schools of Alliance University, including Business, Law, Liberal Arts, and Performing Arts. These courses expose learners to diverse perspectives and complementary skill sets such as management thinking, legal awareness, creative expression, entrepreneurship, and communication.
Objective:
To develop cross-disciplinary competence, critical thinking, and professional versatility by integrating technology education with business, legal, social, and creative domains.
Category II: Language Open Electives (OEL)
Language Open Electives are structured in two progressive levels, enabling students to develop foundational and intermediate proficiency in global and regional languages. These courses enhance communication skills, cultural awareness, and global employability.
OEL–I (Language Foundations)
French Language – I : Introduces basic French communication skills, grammar, vocabulary, and cultural contexts for everyday and professional use.
German Language – I: Covers foundational German language skills with emphasis on basic conversation, grammar, and cultural understanding.
Hindi Language – I: Focuses on developing basic reading, writing, and conversational skills in Hindi for effective communication.
Kannada Nudi – I: Introduces spoken Kannada with emphasis on everyday communication and cultural familiarity.
Kannada Kaushala – I: Develops practical Kannada language skills for workplace and social interaction.
Spanish Language – I: Provides foundational knowledge of Spanish language, pronunciation, grammar, and basic conversational ability.
OEL–II (Language Proficiency Enhancement)
French Language – II: Builds on foundational skills to enhance fluency, comprehension, and written communication in French.
German Language – II: Strengthens intermediate-level German proficiency with focus on structured communication and cultural application.
Hindi Language – II: Enhances functional proficiency in Hindi through advanced reading, writing, and conversational practice.
Kannada Nudi – II: Advances spoken Kannada skills with improved fluency and contextual usage.
Kannada Kaushala – II: Focuses on applied Kannada communication skills for professional and societal engagement.
Spanish Language – II: Develops intermediate Spanish language competence for academic, professional, and global communication.
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.

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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

Study Abroad Options

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:

Learn More
FAQS

Everything You Need to Know

With the infiltration of AI in every sector, ranging from healthcare, finance, law, gaming, and more, the scope of B. Tech. in Artificial Intelligence and Data Science spans across numerous industries with strong demand in India and globally.
Yes. For admission to the B.Tech. programme, 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 programme. For further details, refer to the eligibility criteria in the Admissions Process Page.
Indeed, the use of AI is expanding globally, making it one of the most sought-after fields across industries such as healthcare, finance, law, cybersecurity, and more. Careers in Artificial Intelligence, Data Science, and Machine Learning are highly future-proof, offering strong job prospects, steady growth, global opportunities, and competitive compensation.
B. Tech. graduates can pursue higher studies or aspire for professional roles, such as AI Engineer, Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, Research Scientist, Data Analyst, AI Developer, AI Research Associate, Data Engineer, Robotic Process Automation (RPA) Developer, and Security Data Analyst.
Indeed. The B. Tech. in Artificial Intelligence and Data Science programme at Alliance University provides students with hands-on training, live projects, and internships with leading companies. This helps them learn core algorithms, model training, and engage with real-world AI applications and development.
Yes. B. Tech. graduates have the opportunity to advance their studies by pursuing M.Tech, MS, or Ph. D. programmes in Artificial Intelligence, Data Science, or related fields, both in India and abroad. These programmes enable graduates to deepen their technical expertise, engage in advanced research, and open doors to leadership roles and specialised career opportunities in the rapidly evolving tech landscape.
Yes. AI and Data Science skills are in high demand across industries, making them globally sought-after career opportunities. The B. Tech. programme at Alliance University further enhances this advantage through international student exchange programmes and exclusive sessions with international faculty, allowing students to build global networks and access broader career prospects.
Yes. The Career Advancement and Networking Cell at Alliance University has built extensive industry partnerships, offering internships, live projects, and mentorship programmes. It is dedicated to supporting students in securing placements and internships with leading companies such as HCL, UST Global, HP, Deloitte, LG, and many other top firms from a pool of 1000+ recruiters.
As a part of the B. Tech. in AI and Data Science curriculum at Alliance University, students learn Python, R, TensorFlow, PyTorch, cloud platforms, big data tools, and advanced visualisation techniques.
Entry-level packages for B. Tech. AI and Data Science graduates in India range from ?6–12 LPA, with top companies and international opportunities offering even higher compensation.
Alliance University provides advanced cutting-edge lab facilities for hands-on experimentation and innovation, like high-performance computing hubs, robotics lab, Apple Lab, Immersive Technologies (augmented reality and virtual reality labs), cloud computing platforms, and innovation centres.
Through industry mentorship programmes, technology contests, live projects, case studies, workshops, guest lectures, webinars, and internships, students gain early exposure to the industry. These initiatives by the Career Advancement and Networking cell at Alliance University help bridge the gap between theoretical knowledge and real-world application, helping students secure placements in top firms.
The B. Tech. in AI and Data Science programme is uniquely crafted with a blend of technical expertise, industry integration, global exposure, research opportunities, and personalised career mentoring, providing every opportunity for individual development and career growth.
Indeed. The B. Tech. in AI and Data Science programme at Alliance University encourages students to participate in industry acclimations through live projects, internships at top firms, hackathons, research collaborations, industry mentorship, and industry-driven challenges.
Alliance has a wide, active alumni network of over 32000 alumni. Alumni mentoring, networking events, and dedicated digital platforms enable students to engage with alumni of the B. Tech. in Cloud Computing programme, working in top firms for career insights.
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