BSc - Artificial Intelligence & Machine Learning
A future-ready undergraduate AI programme with strong computer science foundations, hands-on ML/DL depth, and real-world application focus.
Future Ready.
This programme progresses from core computer science and programming into machine learning, deep learning, NLP, and computer vision, supported by strong math and probability foundations.
You’ll also cover critical areas like AI ethics and governance, and move into modern systems like cloud computing for AI and intelligent systems/robotics. With internship and capstone outcomes built into the programme structure, students graduate with proof-of-work and clearer career direction.
What You'll Learn
Learn to build AI systems, not just talk about them.
You’ll code, train models, analyze data, and build end-to-end AI projects that demonstrate real capability.
The curriculum is structured to develop full-stack AI readiness: programming + algorithms, ML foundations, deep learning and applied AI, then deployment-relevant systems and capstone-level delivery. You’ll graduate having worked through projects and an internship phase that help convert learning into demonstrable outcomes.
Math foundation: Mathematics for Computer Science I & II (Linear Algebra, Probability).
Programming base: Intro to Programming (Python/Java), OOP.
CS core: Data Structures & Algorithms, DBMS, Operating Systems, Computer Networks.
ML/DL: Machine Learning I (supervised/unsupervised), Deep Learning (Neural Networks), ML II (reinforcement/advanced ML).
Applied AI: AI Algorithms, Data Mining & Warehousing.
Language + vision: NLP I & II, Computer Vision & Image Processing.
Responsible AI: AI Ethics & Governance.
Modern systems: Cloud Computing for AI, Robotics & Intelligent Systems, Big Data Analytics for AI.
Real outcomes: Minor Project + Internship I; Capstone (Major Project) + Seminar/Viva.
International Industry Tour
AURA offers an free international industry tour designed to give students short-term global exposure through university visits, industry interactions, and cultural learning.
The focus is on global awareness, confidence, and real-world perspective—not mandatory travel or degree dependency.
What Students gain:
Exposure to international universities and workplaces
Insights into global business culture and practices
Cross-cultural learning and professional networking
Clarity on future international study or career options
Participation is voluntary and does not impact academic progression at AURA.
Career Outcomes
Graduates develop strong foundations in AI and machine learning, enabling them to build intelligent systems and data-driven solutions across sectors.
AI Engineer (Entry-Level)
Machine Learning Engineer
Data Scientist
Automation & AI Solutions Analyst
Research & AI Development Associate
Global Pathways
AURA offers flexible international progression options, without forcing a single path.
Complete your Bachelor's Degree in India
Study all years at AURA and graduate with your full Indian bachelor’s degree.
2+1 International Bachelor's Pathway
Start at AURA, then transfer internationally to complete the last year and earn an international bachelor’s degree.
2+2 Bachelor's + Master's Pathway
Complete the foundation at AURA, then move abroad for a structured master’s route aligned to your goals and eligibility.
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