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B. Tech. in Artificial Intelligence and Machine Learning

Overview

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

Commence of the course


Course Duration

Four Years


Mode of Study

Eligibility


B. Tech. (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.


B. Tech. (Lateral)

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.


Programme Features

Industry-aligned curriculum ensuring relevance and up-to-date knowledge.

Strategic partnerships with industry leaders for valuable certifications.

State-of-the art lab facilities, including a centre of excellence in collaboration with Proglint Solutions pvt. ltd.

Emphasis on practical problem-solving in Al and ML, fostering hands-on experience.

Comprehensive placement preparedness and career support for seamless transitions.

Research focus, algorithm development, and practical industry application for a well-rounded education.

Program Structure

Career Opportunities

Explore diverse career opportunities in the dynamic field of AI and Data Science, where you can shape the future as an Artificial Intelligence Engineer, utilizing innovative solutions; become a Data Science Consultant, extracting valuable insights from data; specialize in Computer Vision Engineering, crafting systems for visual data interpretation; delve into the world of Machine Learning as an Engineer, contributing to autonomous learning algorithms; or embark on a path as a Software Engineer, using your programming prowess to create efficient and robust software solutions. The possibilities are vast, offering a range of roles that align with your passion and expertise in this ever-evolving industry.

FAQ's

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.

Contact for Admissions