Chitkara University Global Programs
Call us +918288088578 | 1800 267 1999
Pay 1/3 of the International tuition fees
Academic Mentorship from International faculty
100% credit transfer to the 3rd year
4 Years
September 2025
Enrol in B.E. in Artificial Intelligence (AI) and Machine Learning (ML) at Chitkara University and opt to transfer after two years of study in India to Deakin University, Australia. Graduate with a Bachelor of Artificial Intelligence (Honours) degree from Deakin in Australia after 4 years (2+2) of total study.
In the first two years, the course will be co-taught by faculty from both Universities through blended mode which may include face-to-face classes, video conferences and short intensives. On successful completion of the first two years at Chitkara University, students will have an option to articulate and transfer (based on conditions) into the 4 year Bachelor of Artificial Intelligence for on-campus studies at Deakin University in Australia.
Counted among the Top 50 young universities across the globe, Deakin University stands out for world-class facilities, research, teaching excellence, employability, innovation, and inclusiveness.
Deakin University won the Victorian International Education Award 2020 for ‘Excellence in International Student Employability and Career Development,’ showcasing its commitment to student success.
Ranked Australia’s top
tech-support University (Voice Project IT Service Quality Survey), Deakin offers excellent infrastructure, hands-on learning, and real-world research application at its Burwood campus.
For eleven consecutive years, Deakin’s undergraduates have reported the highest satisfaction among Victorian universities, as per Australian Graduate Survey and QILT’s Graduate Outcomes Survey.
– Introduction to Artificial Intelligence
– Computer Systems
– Engineering in Society
– Discrete Mathematics
– Data Wrangling
– Programming for AI
– Object-Oriented Development
– Machine Learning Fundamentals
– Computer Networks and Communication
– Embedded Systems Development
– Data Structures and Algorithms
– Sustainable Design
– Deep Learning and Neural Networks
– Natural Language Processing
– Professional Practice in Information Technology
– Robotics and AI Applications
– Safety Induction Program (0-credit compulsory unit)
– Career Tools for Employability (0-credit compulsory unit)
– Deep Learning
– Natural Language Processing
– Team Project (A) – Project Management and Practices
– Minor or Elective Unit
– Robotics, Computer Vision, and Speech Processing
– Advanced Embedded Systems
– Team Project (B) – Execution and Delivery
– Minor or Elective Unit
– Research Training and Project (2 credit points)
– Developing Secure AI Applications
– Minor or Elective Unit (Level 2, 3, or 4)
– Research Project OR Research Project (Advanced) (2 credit pts)
– Professional Practice
– Minor or Elective Unit (Level 2, 3, or 4)
*Chitkara University and Deakin University are continually striving to improve their programs and delivery. The information contained in this framework is subject to change without notice.
Discipline-specific Knowledge and Capabilities: Develop a comprehensive and coherent understanding of the principles and methodologies of Artificial Intelligence, including machine learning, deep learning, natural language processing, and computer vision. Use this knowledge, along with relevant tools and technologies, to design, develop, and deploy intelligent systems and AI-driven solutions that meet real-world application requirements while considering economic, environmental, social, political, legal, and ethical constraints.
Communication: Communicate complex AI concepts, findings, and solutions effectively in professional contexts to inform, motivate, and inspire change. Utilise various verbal, graphical, and written methods to engage diverse audiences, facilitating the adoption of innovative AI technologies across different sectors.
Digital Literacy: Leverage a wide range of digital technologies, AI frameworks, and data sources to discover, analyse, evaluate, select, process, and disseminate both technical and non-technical information. Apply computational tools and algorithms to solve problems and generate insights in AI-driven environments.
Critical Thinking: Evaluate AI models, datasets, and algorithms with critical and analytical thinking. Apply reasoning, technical skills, and personal judgment to make informed decisions in the development and application of AI technologies, ensuring ethical and sustainable outcomes.
Problem Solving: Apply AI theories, methodologies, and critical analysis to real-world, often ill-defined problems. Develop innovative and scalable solutions using machine learning models, data-driven insights, and AI techniques to address challenges across industries such as healthcare, finance, and autonomous systems.
Self-management: Demonstrate adaptability, autonomy, and responsibility when applying AI knowledge and skills to new situations in professional practice or further research. Use reflective practice and self-critique to plan for continuous learning and development, ensuring ongoing growth as an AI practitioner.
Teamwork: Collaborate effectively in multi-disciplinary teams, contributing specialised knowledge in AI to achieve shared goals. Employ strong communication, self-management, and team-management skills to drive the successful development and implementation of AI projects.
Global Citizenship: Apply ethical principles and professional standards in the development, design, and deployment of AI systems. Consider the social impact and global implications of AI solutions, ensuring that they align with ethical guidelines and contribute to the responsible and sustainable advancement of technology.
As a graduate of this program, you will be well-equipped to pursue careers in rapidly evolving fields that bridge the gap between data, algorithms, and real-world applications. You will be prepared to design and deploy cutting-edge AI solutions for industries such as healthcare, finance, autonomous systems, smart cities, and robotics.
For information regarding fees for 3rd and 4th year, please scan this code.
You can visit our website or download application form or visit us at our admission office in Chandigarh or speak to our representative. Once you meet the eligibility conditions below, you can deposit application form with required documents and application fee to receive your letter of admission. The eligibility conditions are :
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