The rapid technological evolution depends on Artificial intelligence (AI) and machine learning (ML). The global B.E. in AI & ML provides a future-oriented career path for potential tech professionals through its challenging technical curriculum and international exposure. The degree has become essential for career success in AI and ML because it leads to high-impact tech positions and creative opportunities across international borders.
The Demand for Global AI and ML Talent
AI and ML technologies revolutionize various industries through their revolutionary impact on manufacturing and entertainment as well as healthcare and finance. The market demands professionals who specialize in AI engineering and machine learning and data-driven problem-solving because companies use automation and analytics and intelligent systems to gain competitive advantages. The AI and ML specialist position stands as one of the most sought-after roles in the tech industry while the global AI market shows an exceptional growth trajectory.
For a comprehensive overview on AI and ML careers , explore resources for global AI industry trends, see Forbes on the demand for AI talent.
What Sets a Global B.E. in AI & ML Apart?
Global Perspective and International Curriculum
A B.E. in AI & ML is not possible with standard engineering education since it is intended for the global market. These courses frequently include:
- Exposure to global best practices and new developments in AI education.
- Working together with faculty and students from other countries, promoting a diversity of viewpoints.
- Industry-driven initiatives and internships with top tech companies worldwide.
- The latest AI and ML frameworks, languages, and tools used by global corporations are available.
The World University Rankings for Computer Science have information about these programs. See World University Rankings for Computer Science for more details.
Mastery of Core and Advanced Concepts
The curriculum typically covers:
Core ideas: The foundation of AI and ML is made up of statistics, mathematics, and programming.
- Key areas of artificial intelligence and machine learning include deep learning, neural networks, computer vision, robotics, supervised and unsupervised learning, and natural language processing.
- Real-world abilities: data analysis, algorithm creation, model training, deployment, and moral AI application.
- Hands-on projects: Practical uses in industries such as smart infrastructure, finance, and healthcare (AI-driven diagnostics and fraud detection).
Real-World Readiness
Top global B.E. in AI & ML programs are characterized by their focus on employability and job readiness:
- Project portfolios: Students start designing and implementing AI solutions in their first year, creating impressive portfolios that showcase their abilities to potential employers.
- Mentoring and networking: Professional development is accelerated through direct mentoring from internationally renowned faculty and industry professionals.
- Skill development: The tech curriculum incorporates communication, teamwork, and critical thinking to ensure that graduates flourish in cooperative, interdisciplinary settings.
For more on preparing for real-world AI and ML jobs, visit IBM’s AI and ML careers resource.
Career Opportunities: The Future of AI and ML Jobs
A B.E. in AI & ML provides students with various career opportunities in the global AI job market. Some of the most in-demand roles include:
- AI Engineer & Machine Learning Engineer Builds, trains, and deploys intelligent systems, and designs algorithms and models for automated predictions, working across industries such as technology, healthcare, automotive, e-commerce, banking, and IT services.
- Data Scientist Analyzes complex data sets to generate actionable insights, playing a key role in marketing, research, and insurance sectors to support data-driven decision-making.
- AI Research Scientist Innovates new algorithms with a focus on deep learning and natural language processing (NLP), typically working in academia, R&D, and tech companies to push the boundaries of AI capabilities.
- AI Solutions Architect As an AI Solutions Architect you work with consulting firms and large tech companies to develop AI-driven strategies which you design for end-to-end AI and machine learning solutions in enterprises.
- Robotics and Automation Lead Leading the development of intelligent robots and automation systems that boost manufacturing operations and logistics systems through innovative techniques to boost industrial productivity.
To view current job market data and salaries refer to Glassdoor’s AI and ML jobs report.
Shaping the Future: AI Engineering as a Strategic Asset
AI continues to advance through ongoing technological progress which includes self-driving cars and medical AI tools and urban development and green technology solutions. The foundation of these developments rests on AI engineering expertise. Students who earn a global B.E. in AI & ML acquire technical competence alongside essential knowledge about responsible innovation’s ethical and regulatory and societal aspects.
Conclusion
The global B.E. in AI & ML functions as more than an educational degree since it serves as a career foundation for future technology leaders and innovators. The program uses a curriculum that follows international business standards to teach practical skills for real-world applications thus preparing students for international tech careers. Professionals who hold these degrees will lead innovation in AI system development and trend setting for future AI advancements across various industries that technology transforms.
Also, read this blog post: Bachelor in Software Engineering at Deakin University: Your Gateway to Global Excellence
The B.E. in Artificial Intelligence & Machine Learning (AI & ML) at Chitkara University offers an exciting global pathway program through a partnership with Deakin University in Australia. Students spend their first two years at Chitkara University in India before they can move to Deakin University in Australia for their remaining two years of study. Students who finish their studies will obtain a Bachelor of Artificial Intelligence (Honours) degree from Deakin University while receiving a full credit transfer of their coursework from Chitkara University provided all academic and statutory requirements are satisfied.
The curriculum establishes foundational AI knowledge about machine learning and natural language processing with academic support from Deakin University. The curriculum provides students with required competencies through the combination of AI education and communication skills together with digital competence and problem-solving abilities and self-management and critical thinking abilities.
Students need to finish Class XII with Physics, Chemistry and Mathematics to enter the program while achieving minimum required aggregate scores and math percentages. Students can apply online through the website or visit the admission office or work with authorized representatives to apply for the September 2025 intake.
Chitkara University provides students with multiple AI & ML-related programs including Civil Engineering with AI & ML through L&T EduTech and Computer Science Engineering with AI & ML in collaboration with Microsoft and BCA in AI & ML and Online MBA in Data Science & Artificial Intelligence through EY to let students select from various AI & ML-focused programs
FAQs about the Chitkara University Global B.E. in AI & ML program:
The program runs for four years at Chitkara University in India then students have the opportunity to study at Deakin University in Australia for their final two years.
The completion of the program at Deakin University leads students to obtain their Bachelor of Artificial Intelligence (Honours) degree from Deakin University in Australia.
Yes. The academic credits earned at Chitkara University are fully transferable to Deakin University if students fulfill both academic requirements and statutory obligations.
Students gain essential knowledge about AI by learning core principles of machine learning and natural language processing together with fundamental technology subjects along with communication and digital literacy training and problem-solving and critical thinking development.
The admission process requires applicants to finish their Class XII studies while earning specific grades in Physics, Chemistry and Mathematics.
Graduates can pursue roles such as:
Students can submit applications for admission by using the university portal while simultaneously visiting the campus admission office or seeking help from official representatives.
Students at Chitkara must pay Rs. 1,80,000 per semester during the initial two years of study and Rs. 1,65,000 per semester for the remaining two years when they remain at Chitkara University until completion of their studies.
Yes. The international academic community highly respects degrees from Deakin University because the institution maintains positions within the top 1% of worldwide universities.
Yes. Students can choose from four AI and ML programs at Chitkara including Civil Engineering with AI & ML through L&T EduTech and Computer Science Engineering with AI & ML via Microsoft and BCA in AI & ML and Online MBA in Data Science & Artificial Intelligence through EY.
The program allows graduates to build careers in AI development and data science alongside machine learning engineering and natural language processing and other fields across international industries.
