B.Tech CSE Artificial Intelligence and Machine Learning : Course, Duration, Eligibility, Fees, Admissions, Opportunities

Duration : 4 Years

B.Tech Computer Science with Artificial Intelligence and Machine Learning:


B.Tech in Artificial Intelligence and Machine Learning is a specialised undergraduate engineering programme centred on crafting, innovating, and applying smart technologies and algorithms that mimic human intelligence. The course combines core computer science principles with advanced AI and ML techniques, preparing students for careers in automation, data analytics, robotics, and smart technologies. It emphasises practical learning through projects, internships, and research, aligning with industry demands for AI-driven solutions.


Key Features of B.Tech Computer Science with Artificial Intelligence and Machine Learning:


Feature

Details

B.Tech CSE (AI & ML) Full Form

Bachelor of Technology-Computer Science Engineering in Artificial Intelligence and Machine Learning

B.Tech CSE AI and ML Course Duration (Regular Course)

4 years (8 semesters)

B.Tech CSE AI and ML Course Duration (Lateral Entry)

3 years (6 semesters)

B.Tech CSE AI and ML Duration (Honours)

Varies by institution (if offered, typically 4-5 years with additional research/ project work)

Eligibility

10+2 or equivalent with Physics, Chemistry, and Mathematics (PCM) with a minimum 50% aggregate

Admission Process

Entrance Exam/ Direct Admission

Entrance Exams

JEE Main, JEE Advanced (National), KCET, COMEDK (State), VITEEE, SRMJEE (University-specific)

Cut Offs

Vary by college and category; generally based on entrance exam ranks and seat availability

Age Limit

Minimum 17 - no upper limit (may vary by institution)

Average Fees

INR 60,000 – INR 10,00,000+ per year (government and private colleges)

Average Management Quota Fees

INR 3,00,000 – INR 10,00,000 per year (varies widely)

Average NRI Quota Fees

INR 5,00,000 – INR 15,00,000 per year (varies widely)

Similar Courses to Study

B.Sc. in Artificial Intelligence and Machine Learning, B.Tech in Data Science and Artificial Intelligence, B.Tech Robotics and Artificial Intelligence


B.Tech CSE AI and ML Structure:


The B.Tech AI and Machine Learning programme is divided into 8 semesters over 4 years. The curriculum includes foundational engineering subjects, specialised AI and ML topics, and electives in areas like deep learning, natural language processing, computer vision, and robotics. Most AI and ML courses mandate multiple internships throughout the programme and a final-year project to provide hands-on experience. The internships typically last 3 to 6 months, during which students work on real-world AI and machine learning projects in industry or research settings. Successful internships often lead to valuable industry exposure, networking opportunities, and even full-time job offers after graduation. Assessments are semester-wise, comprising theory exams, practical labs, assignments, and presentations. Workshops and seminars on emerging AI trends are often integrated into the course.


B.Tech CSE AI and ML (Lateral Entry) Structure:


Diploma holders can seek admission to the B.Tech AI and ML courses through lateral entry. In such cases, the candidates are admitted directly into the 3rd semester, reducing the course duration to 3 years (6 semesters). However, the course curriculum will remain similar to the regular programme with a focus on core and specialisation subjects, including internships and project work.


B.Tech CSE AI and ML (Hons.) Course Structure:


The B.Tech CSE AI and ML (Hons.) course includes additional credits through advanced electives, research projects, and thesis work, extending the duration of the course to 4 years with a primary focus on academic rigour and the chosen specialisation.


5 Reasons to Pursue B.Tech CSE AI and ML:


  • Future-Ready Skillset: In the current scenario, the Computer Science (AI and Machine Learning) course equips students with cutting-edge skills and practical knowledge, which prepares them to drive innovation and excel in rapidly evolving technological fields.


  • Diverse Career Opportunities: Graduates of the Computer Science with Artificial Intelligence and Machine Learning degree can work in sectors such as healthcare, finance, automotive, and e-commerce.


  • Innovation and Research: The B.Tech in ML and AI courses encourages innovation through projects and research in cutting-edge AI technologies.


  • High Salary Potential: The demand for Computer Science (AI-ML) specialisations across various sectors enables professionals to command lucrative salaries.


  • Interdisciplinary Learning: The B.Tech CSE AI-ML course combines computer science, mathematics, and the necessary domain-specific knowledge to promote interdisciplinary learning, thereby fostering holistic growth among students.


Learntech offers personalised counselling to help students assess their aptitude and interests to determine how B.Tech in AI and Machine Learning is the right fit for them. Our experienced advisors provide comprehensive consultations to guide students through the admission process, including seat reservations and communication with college authorities. Along with this, Learntech arranges campus tours and offers in-depth advice on financial aid options, thus ensuring a hassle-free admission process for the students.


5 Ways to Make the Most of Your B.Tech CSE AI and ML Course Experience:


  • Pursue internships at tech companies and startups focusing on AI applications.


  • Engage in research projects or competitions like Kaggle to enhance practical skills.


  • Enroll in certificate courses on platforms like Coursera or Udacity for specialised knowledge.


  • Attend AI and ML workshops, webinars, and conferences to enhance your learning and expand your professional network.


  • Collaborate on open-source AI projects to gain relevant industry experience.


Course Combinations Available with B.Tech CSE (AI and ML):


Course Combination

Action

B.Tech AI and ML + Data Science

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B.Tech AI and ML + Robotics

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B. Tech Computer Science and Engineering - Artificial Intelligence - Nxt Wave

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Common Misconceptions About B.Tech CSE (AI and ML):


  • Myth: B.Tech inAI and ML is only about coding.
    Reality: It involves mathematics, statistics, domain knowledge, and ethical considerations.


  • Myth: AI will replace all jobs.
    Reality: AI automates repetitive tasks but creates new roles requiring human creativity and oversight.

Key Points for International Students While Pursuing B.Tech CSE AI and ML in India:


International applicants must meet the eligibility criteria for the B.Tech Artificial Intelligence and Machine Learning programme, which requires completing the equivalent of a 10+2 qualification with science subjects. The AI and ML course fees for NRI quota candidates are typically higher than those for domestic students. Fees vary significantly across institutes and may differ based on categories such as NRI (Non-Resident Indians), PIO (Persons of Indian Origin) and CIWGC (Children of Indian Workers in Gulf Countries).


Popular Countries to Pursue B.Tech CSE AI and ML:


Country 

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Study in USA

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Study in the UK

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Study in Canada

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Study in Australia

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Study inNew Zealand

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Study in Germany

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Study in France

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Study in Singapore

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Study in Ireland

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Pursuing B.Tech AI and ML courses in India offers a cost-effective education with the necessary industry exposure, while programmes abroad provide global exposure and advanced research opportunities. Both paths have unique advantages that can be explored vividly through the admission guidance of Learntech Edu Solutions. We offer personalised counselling sessions to guide aspirants in choosing the best option and securing admission in top B.Tech AI and ML colleges worldwide.


B.Tech CSE AI & ML Scholarships:


Prominent engineering scholarships are provided to financially support students aspiring to pursue the B.Tech AI and ML course at any of the top colleges across the country. Such B.Tech CSE (AI and ML) scholarships are offered by various national bodies, state governments, and institutions to assist deserving and meritorious students based on criteria, including academic performance, financial need, and community background.


National-Level Scholarships:


The Ministry of Education, under the Central Government of India, administers various scholarship programmes aimed at supporting students in need. These scholarships provide financial assistance to students from economically disadvantaged backgrounds, minority groups, and differently-abled individuals, thereby making quality education attainable for all. Some of these scholarships include the INSPIRE Scholarship, Merit-Cum-Means Scholarship, and AICTE Swanath Scholarship, along with initiatives from ministries such as Minority Affairs and Social Justice.


State Scholarships:


State governments provide scholarships for engineering students based on merit and economic background. For instance, Karnataka offers schemes like Vidyasiri and reserved category scholarships for students admitted through KCET or COMEDK, while the Uttar Pradesh government provides scholarships through its dedicated portal to students from economically weaker sections. Other states such as Kerala, Maharashtra, Tamil Nadu, and West Bengal also maintain portals offering scholarships to meritorious and reserved category students pursuing professional courses, including B.Tech Computer Science in AI and ML.


University-Specific Scholarships:


Often, universities and colleges design their own unique scholarship programs to support diverse student needs. For instance, S-VYASA (Deemed-to-be University) offers scholarships targeting special groups such as defence personnel’s children, sports quota achievers, differently-abled students, those with siblings enrolled, single-parent families, and students ranked in entrance exams like KCET, SAET, CET, COMED-K, and JEE. Similarly, institutions including Yenepoya University, BMU, Alliance University, NHCE Bangalore, and others provide merit-based fee waivers, sports scholarships, and financial assistance to motivate talented individuals pursuing B.Tech in AI and ML.


Private Sector Scholarships:


Private and industry-sponsored scholarships are vital in helping talented students access specialised technical education like Artificial Intelligence and Machine Learning. Many top tech firms in India (e.g., Google, Microsoft, Infosys) offer grants, tuition support, or scholarships for B.Tech students specializing in cutting-edge areas, including AI and ML. For instance, Kotak Education Foundation provides the Kotak Scholarship to support high-achieving women entering B.Tech programs in select technical fields at prestigious Indian institutes. Other corporate scholarships from companies like TCS, HP and IBM are often available through partnerships with premier institutes such as IISc and IITs, providing both financial assistance and industry exposure.


Study Loans for  B.Tech CSE AI and ML:


Here are some popular education loan options for students pursuing B.Tech CSE AI and ML specialisation in India:


  • ICICI Bank Education Loan

  • Punjab National Bank Saraswati Education Loan

  • Credila HDFC Education Loan

  • State Bank of India (SBI) Scholar Loan Scheme

  • Vidya Lakshmi Portal Loans - through banks such as Bank of India, Bank of Baroda, Indian Bank, among others.


Similar Courses Abroad and India:


Similar Course

Eligibility

Action

B.Tech in Data Science and Artificial Intelligence

10+2 or equivalent with a minimum aggregate of 50% in Physics, Chemistry, and Mathematics (PCM).

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B.Tech in Robotics and Artificial Intelligence

10+2 or equivalent with Physics, Chemistry, and Mathematics (PCM) with a minimum 50% aggregate.

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BCA Artificial Intelligence and Machine Learning with a minor in Robotics - Microsoft 

10+2 or equivalent with a minimum aggregate of 50% in Physics, Chemistry, Mathematics and Computer Science/ Biology.

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BCA Artificial Intelligence and Cloud Computing with a minor in DevOps - IBM 

10+2 or equivalent with a minimum aggregate of 50% in Physics, Chemistry, Mathematics and Computer Science/ Biology.

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B.Sc in Artificial Intelligence and Machine Learning

10+2 or equivalent with a minimum aggregate of 50% in Physics, Chemistry, Mathematics and Computer Science/ Biology.

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B.Sc (Hons) Data Science and Artificial Intelligence (Abroad)

10+2 with a minimum aggregate marks of 50% in PCM subjects.

+

English language proficiency (IELTS/ TOEFL) is generally mandatory.

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International Bachelor of Science in AI (Abroad)

C1-level command of English.

+

Proficient grades in Mathematics in High school

+

A general 'Baccalaureate' (high school diploma) from a secondary education system or a foreign diploma with recognised equivalence.



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