B.Tech in
Artificial Intelligence

Shaping the Future of Innovation, Where AI Transforms Possibilities

4 Years Full Time
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About Course

The B.Tech in Artificial Intelligence program has been introduced with the purpose of offering students a broad understanding of technological advancement and how to implement technologically advanced tools. Major knowledge fields include: Machine Learning, Artificial Deep Learning, Natural Language Processing, Robotics Engineering, and Data Analysis. Both theoretical and practical concepts are presented, and relevant information is explained with references made to how these elements interlink with each other and how the abilities needed to integrate knowledge at creating solutions in the domain are also used to come up with innovative solutions in several fields.

This is in line with the approaches of instructional training on the current technologies and the specific use of the current technological devices in the job markets in AI and Data Science fields. It is participative in that the students are strongly encouraged to get involved in practical work within advanced labs and projects, where predominantly technical skills are developed. But besides that, students acquire creative thinking and problem-solving skills.

Artificial Intelligence has been emerging as the key mover of technology and innovation in society. Since AI is already encroaching onto fields like health, finance, automotive, and many more sectors, AI technology is already encroaching onto every other industry in the globe. This means there is a bright future in the job market since the demand for professionals in artificial intelligence is growing with each passing day. Apart from that, it paves the way for a provoking career path alongside offering the graduates competitiveness in technological advancement, making them play a central role in the change process of the industries they cater.

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Objectives of the Program

  • Gain a strong foundation in algorithms, data structures, and computer systems.
  • Develop expertise in machine learning, data science, and feature engineering.
  • Apply AI technologies in practical fields like robotics, healthcare, and cybersecurity.
  • Explore emerging trends such as quantum computing, blockchain, and advanced analytics.

Study at Raisoni for a successful future & drive your career in the right direction with our B.Tech in Artificial Intelligence

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Key Details

Four Year (4) course with two semesters in a year.

ICT-enabled smart classrooms

MoUs with various organisations.

Incubation centre for financial support in innovative projects and startups.

Nodal Center of Virtual Lab.

NPTEL centre of IITM.

Future in B.Tech. in Artificial Intelligence

Smart Cities

The global AI market is projected to reach approximately ₹1.4 lakh crore by 2030, with a compound annual growth rate (CAGR) of 37.3%.

Housing Boom

There are 3 lakh job opportunities globally for skilled AI professionals. In the U.S. alone, AI job vacancies increased by 32% year-over-year.

Mega Projects

The median salary for AI professionals in April 2024 was ₹1.32 crore per year, up from ₹1.19 crore in the previous year.

Mega Projects

Sectors leveraging AI are witnessing nearly five times (4.8x) higher growth in labour productivity, reflecting a growing demand for AI expertise.

Eligibility

    • Candidates must have completed their HSC (12th standard) with qualifications from a recognised board.
    • They should have pursued the science stream, including Physics, Chemistry, and Mathematics as mandatory subjects, achieving a minimum of 45% for open-category students and a minimum of 40% for reserved-category students.
    • They must have qualified for the Maharashtra Common Entrance Test (MHTCET) or Joint Entrance Examination (JEE) with a non-zero positive score.
    • The candidate must be an Indian National and should have passed an SSC or HSC Diploma Course in Engineering / Technology with at least 45% marks (40% marks in case of candidates of backward class categories and persons with disabilities belonging only to Maharashtra State) in the appropriate branch of Engineering / Technology from an AICTE-approved institution with English as the medium of instruction at diploma level.

    OR

    • The Candidate must be an Indian National and should have passed a B.Sc. degree from a UGC/Association of Indian Universities recognised university with at least 45% marks (40% marks in case of candidates of backward class categories and persons with disabilities belonging only to Maharashtra State) and passed XII standard examination with mathematics as the subject and with English as the medium of instruction at B.Sc. level.
    • Note:The students belonging to the B.Sc. stream shall only be considered after filling the seats in this category with students belonging to the Diploma Stream. Students belonging to the B.Sc. stream are required to pass the subjects of Engineering Graphics/Engineering Drawing and Engineering Mechanics of the first-year Engineering program along with the second-year subjects.

Admission Procedure

Registration and Verification:
  • The Centralised Admission Process (CAP) is mandatory for both the CAP and the Institute Level Quota (ILQ) seat categories, and it is necessary to enrol to be considered for a seat in either category.
  • For document verification and scrutiny at the Facilitation Centres/ e-Scrutiny Centres, please follow the guidelines/proceedings of the authority received after online registration.
  • Only those candidates whose applications are verified by the Facilitation Centres/e-Scrutiny Centre shall be eligible in the displayed merit list.
A) CAP Round Admission:
  • The admission through CAP rounds makes up 80% of the total number of seats and is done per guidelines provided by the SCET Cell, Government of Maharashtra. Additional information can be obtained from the official website: https://cetcell.mahacet.org/
  • Form Filling Guide: To read how to fill out this form, please click the following link.
Access it Here
B) Institute Level Quota Admission:
  • The percentile rank of the SCET Cell, MHT-CET or JEE (Main) score determines the merit number for the ILQ of 20 percent while preparing the Institute level merit list (PCML/FCML).
Prerequisite Documents:

Original documents and FOUR sets of attested photocopies are required at the time of admission:

  • CAP Allotment Letter (for candidates allotted seats through CAP Rounds)
  • HSC Marksheet
  • SSC Marksheet
  • CAP Final Merit Number Document
  • Passing Certificate / Board Certificate of Std. 10th / SSC
  • MHT-CET 2023 Score Card
  • JEE (Main) 2023 Score Card
  • Nationality Certificate
  • Domicile Certificate
  • HSC Leaving Certificate
  • Aadhar Card (Photocopy)
  • CAP Allotment Letter (for candidates allotted seats through CAP Rounds)
If Applicable Documents:
  • Caste Certificate with Category
  • Non-Creamy Layer Certificate (valid)
  • Migration Certificate (for boards other than M.S. Board / from RTMNU)
  • Eligibility Certificate (for other than M.S. Board; must be submitted within ten days from the date of admission)
  • Certificates in Proforma A, B, C, D, E, G, J, K, L, U & V, etc.
  • Income Certificate
  • Gap Certificate
  • Three Photographs
  • Caste/Tribe Validity Certificate for SC/ST/OBC/VJ/DT-NT (A/B/C/D)/EWS Categories

Technical Skills Acquired

Software :
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Skills :
  • Programming Languages
  • AI Tools and Frameworks
  • Data Science Techniques
  • Machine Learning Algorithms
  • AI Integration

Career Opportunities

Entry Level
  • AI Developer
  • Data Analyst
  • Machine Learning Engineer
  • Research Assistant
Mid Level
  • AI Engineer
  • Data Scientist
  • Robotics Engineer
  • Cybersecurity Analyst
Senior Level
  • Lead AI Engineer
  • Senior Data Scientist
  • Chief Data Officer
  • AI Solutions Architect

Future Studies Options

B.Tech AI graduates have several opportunities for advanced studies, including:

M.Tech (Master of Technology)

In fields such as AI, Machine Learning, Data Science, Robotics, and Computer Vision.

MS (Master of Science)

In areas like Artificial Intelligence, Data Science, or Robotics.

MBA (Master of Business Administration)

for those aiming for management roles within the tech industry.

PhD (Doctor of Philosophy)

for advanced research and academic careers in Artificial Intelligence or related fields.

Specialised Courses

In areas such as Deep Learning, Advanced Robotics, and Quantum Computing.

FAQ

What does the qualification cover?

A B.Tech in Artificial Intelligence covers a comprehensive curriculum including machine learning, deep learning, natural language processing, robotics, and data analytics. The program integrates theoretical knowledge with practical applications in AI technologies.

The starting salary for AI engineers in India typically ranges from ₹3.5 lakhs to ₹6 lakhs per annum, depending on the company, location, and individual skills. Salaries can increase significantly with experience and specialisation.

Essential technical skills include proficiency in programming languages (such as Python and R), knowledge of machine learning frameworks (such as TensorFlow and PyTorch), understanding of algorithms, data analysis, and familiarity with AI tools and technologies.

To be eligible for admission to a B.Tech in Artificial Intelligence, candidates generally need to have completed their 12th grade with a strong background in mathematics and science. They must also pass an entrance exam such as JEE Main, MHT-CET, or a similar test as required by the institution.

Career opportunities include roles such as AI research scientist, machine learning engineer, data scientist, robotics engineer, NLP engineer, and automation specialist. Graduates can work in various industries including technology, healthcare, finance, and manufacturing.

The course is typically assessed through a combination of written exams, practical assignments, projects, and presentations. Continuous assessment through lab work and coursework also plays a significant role in evaluating student performance.

Useful certifications include those in specific AI technologies and skills such as:

  • AWS Certified Machine Learning - Specialty
  • Google Professional Machine Learning Engineer
  • TensorFlow Developer Certificate
  • Microsoft Certified: Azure AI Engineer Associate

Skills and languages that often command higher salaries include:

  • Expertise in machine learning and deep learning
  • Proficiency in Python and R
  • Experience with AI frameworks (TensorFlow, PyTorch)
  • Advanced knowledge in data science and analytics

Mechanical engineers can work in diverse industries including automotive, aerospace, manufacturing, energy, robotics, HVAC, and construction. The demand for mechanical engineers spans across both traditional and emerging sectors.

Yes, Mechanical Engineering graduates are in demand globally. Countries like the USA, Germany, Japan, and the UAE offer excellent career prospects for mechanical engineers, especially in high-tech industries such as aerospace, robotics, and energy. .

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Applications of admission are now
open for academic year 2025-2026

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