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B.Tech in Computer Science and Engineering (Artificial Intelligence & Machine Learning)

B.Tech in Computer Science and Engineering (Artificial Intelligence & Machine Learning)

   Department of Artificial Intelligence and Machine Learning (AIML)

Programme Level

Under Graduate

Duration

4 Years

About the Programme

The School of Computing Science and Engineering has designed the Programme of B.Tech Artificial Intelligence (Specialization) to meet the in-demand and upcoming needs of the industry. This programme seeks to produce competent engineers in the field of Artificial Intelligence who can contribute to the field by developing data analytics, scientific computation, numerical & statistical analysis, and other capabilities. This program is a professional engineering undergraduate degree course, a total of four years duration, which contains an array of courses that are related to computation like design and analysis of algorithms, computer programming languages, software design, and computer hardware. This specialization will train students to develop smart machines with a cutting-edge combination of Artificial Intelligence technologies like Statistics, Big Data Analytics, Computer Vision, Business Intelligence, Robotics, and so on.

Eligibility

Minimum 60% marks in Physics, Mathematics and Chemistry/Computer Science/Information Technology/Informatics Practices/Electronics/Engineering Graphics/Technical Vocational Subjects in Class XIIth.

Students with a JEE-Mains / JEE-Advance/CUET / SAT (DI Code - 71057 ) score will be given preference in the merit list

For Lateral Entry:

Passed Diploma examination with at least 60% marks in relevant discipline of Engineering and Technology.

Or
Passed B.Sc. Degree from a recognized University with at least 60% marks and passed 10+2 examination with Mathematics as a subject. Or
Passed B.Voc/3-year D.Voc. Stream in the same or allied sector. 

For Migration from Other Universities: 1) B.E./B.Tech Ist year minimum 60% marks or equivalent 2) 50% PCM or above at XII level.

Fee Structure

Duration
4 Years
Tuition Fee (per annum)
1,64,000
Exam Fee (per annum)
20,000
Medical Insurance (Per Annum)
650
Caution Money (One Time Payment )
2000
Student ID Card
1000

Program Structure

 

Program Structure

Programme Objectives

01

The Graduates of Computer Science and Engineering shall be engaged with leading Global Software Services and Product development companies handling projects in cutting edge technologies.


02

The Graduates of Computer Science and Engineering shall serve in technical or managerial roles at Government firms, Corporates and contributing to the society as successful entrepreneurs through start-up.


03

The Graduates of Computer Science and Engineering shall undertake higher education, research or academia at institutions of transnational reputation.


Programme Specific Outcomes (PSOs)

01

The students of Computer Science and Engineering shall have the ability to work with emerging technologies in computing requisite to Industry 4.0.


02

The students of Computer Science and Engineering shall demonstrate Engineering Practice learned through industry internship and research project to solve live problems in various domains.


Apply Now

Minimum 60% marks in Physics, Mathematics and Chemistry/Computer Science/Information Technology/Informatics Practices/Electronics/Engineering Graphics/Technical Vocational Subjects in Class XIIth.

Students with a JEE-Mains / JEE-Advance/CUET / SAT (DI Code - 71057 ) score will be given preference in the merit list

For Lateral Entry:

Passed Diploma examination with at least 60% marks in relevant discipline of Engineering and Technology.

Or
Passed B.Sc. Degree from a recognized University with at least 60% marks and passed 10+2 examination with Mathematics as a subject. Or
Passed B.Voc/3-year D.Voc. Stream in the same or allied sector. 

For Migration from Other Universities: 1) B.E./B.Tech Ist year minimum 60% marks or equivalent 2) 50% PCM or above at XII level.

Frequently Asked Questions

B Tech in Artificial Intelligence is a 4-year undergraduate engineering program that combines core computer science principles with advanced AI technologies to prepare students for the next generation of intelligent systems and digital innovation. The program equips students with the knowledge and practical skills required to design, develop, and deploy AI-powered solutions across industries.

The curriculum covers key areas such as Machine Learning, Deep Learning, Data Analytics, Statistical Analysis, Computer Vision, Natural Language Processing (NLP), Robotics, Business Intelligence, Big Data Analytics, Cloud Computing, and Intelligent Systems. Students also build a strong foundation in programming, algorithms, software engineering, mathematics, and data-driven decision-making.

At Galgotias University, the B.Tech in Artificial Intelligence program emphasizes hands-on learning through industry projects, internships, research opportunities, innovation labs, and exposure to emerging technologies. The program is designed to prepare graduates for high-demand AI careers and Industry 4.0 roles across sectors such as technology, healthcare, finance, manufacturing, retail, automotive, and smart systems.

While both programs provide a strong foundation in computer science, they differ in their area of specialization and career focus.

A regular B.Tech in Computer Science and Engineering (CSE) emphasizes core subjects such as programming, data structures, algorithms, software engineering, operating systems, computer networks, databases, and computing systems. It prepares students for a broad range of careers in software development, IT services, system design, and technology consulting.

B.Tech CSE with a specialization in Artificial Intelligence & Machine Learning (AI & ML) builds on this foundation by incorporating advanced topics such as Machine Learning, Deep Learning, Artificial Intelligence, Data Analytics, Computer Vision, Natural Language Processing (NLP), Robotics, Big Data Analytics, and Business Intelligence. Students gain practical experience in developing intelligent systems, predictive models, and AI-driven applications through projects, internships, and industry-oriented learning. This specialized program is ideal for students who want to pursue careers in rapidly growing fields such as AI Engineering, Machine Learning Engineering, Data Science, Intelligent Automation, Robotics, and other emerging technology domains, while retaining the comprehensive computer science knowledge offered by a traditional B.Tech CSE program.

You should choose B Tech in AI if you enjoy mathematics, coding, logical thinking, automation, data, and solving complex real-world problems using intelligent systems. The program is ideal for learners who enjoy logical thinking, automation, data analysis, and developing innovative software solutions. This program suits students who want to work in Artificial Intelligence, Machine Learning, Data Science, Robotics, Computer Vision, Natural Language Processing (NLP), Intelligent Automation, Business Intelligence, and AI-driven Product Development. The program also benefits students interested in research, innovation, and creating next-generation technologies that power smart applications across industries.

You need a minimum of 60% marks in Class 12 with Physics, Mathematics, and Chemistry or Computer Science or Information Technology or Informatics Practices or Electronics or Engineering Graphics or Technical Vocational Subjects. Students with JEE Main, JEE Advanced, CUET, or SAT scores get preference in the merit list.

The tuition fee for this program is ₹1,64,000 per annum. Students also need to pay ₹20,000 exam fee per annum, ₹650 medical insurance per annum, ₹2,000 caution money, and ₹1,000 student ID card fee.

Yes. Lateral entry is available for eligible students. You need a diploma with at least 60% marks in any branch of Engineering and Technology, or a B.Sc degree with at least 60% marks and Mathematics at 10+2 level, or a B.Voc or 3-year D.Voc qualification in the same or allied sector.

You will study computer programming, algorithms, software design, computer hardware, data analytics, statistical analysis, scientific computation, machine learning concepts, big data analytics, computer vision, robotics, and business intelligence. The program also includes industry internship and research project exposure for live problem-solving.

A B.Tech in Artificial Intelligence prepares graduates for a wide range of high-growth careers in the technology sector by combining strong computer science fundamentals with expertise in AI and data-driven technologies. As organizations increasingly adopt intelligent systems, the demand for AI professionals continues to grow across industries.

Graduates can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Data Analyst, Deep Learning Engineer, Computer Vision Engineer, Natural Language Processing (NLP) Engineer, Robotics Software Developer, Business Intelligence Analyst, Software Developer, AI Product Engineer, Automation Engineer, Research Associate, and AI Solutions Consultant.

Career opportunities are available in IT services, product-based companies, multinational corporations, startups, fintech, healthcare, manufacturing, automotive, e-commerce, education, telecommunications, government organizations, and research institutions. The program also provides a strong foundation for higher education through M.Tech, MS, MBA, or research programs (Ph.D.) in Artificial Intelligence, Machine Learning, Data Science, Computer Science, and related disciplines.

With hands-on experience in AI technologies, real-world projects, internships, and research, graduates are well equipped to build intelligent applications, develop predictive models, automate business processes, and contribute to the next generation of digital innovation.

Yes. Galgotias University is a strong choice for students looking for a B.Tech in Artificial Intelligence near Delhi NCR. Located in Greater Noida, the university offers a 4-year undergraduate program that combines core computer science education with advanced Artificial Intelligence technologies to prepare students for future-ready careers.

The curriculum covers key AI domains such as Machine Learning, Deep Learning, Data Science, Computer Vision, Natural Language Processing (NLP), Robotics, Big Data Analytics, Business Intelligence, and Intelligent Systems. Students gain practical experience through industry internships, live projects, innovation labs, hackathons, research initiatives, and hands-on learning with emerging technologies.

With its location in the Delhi NCR region, Galgotias University provides students with access to leading technology companies, startups, industry collaborations, and placement opportunities. The program is designed to develop the technical, analytical, and problem-solving skills required for successful careers in Artificial Intelligence, Machine Learning, Data Science, and other high-growth technology domains.