Elevate Your Future
with Machine Learning Excellence.

Engineer the future of smart technology – start with B.Tech in AI & ML.

4 Years Full Time
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About Course

The B.Tech in Artificial Intelligence and Machine Learning (AI & ML) is an undergraduate program that takes four years of study. It aims to give students all the knowledge and skills they need to fit in the current trending fields in Artificial intelligence and Machine learning. The course helps the students obtain the skills needed to design as well as deploy AI and ML solutions to address various issues in different fields.

The curriculum has both core computer science and AI and ML components, and advanced topics cover machine learning, deep learning, natural language processing, and computer vision. Thus, the students will be able to develop competency in programming, algorithms, and data structure concepts, as well as their applications. There is also a strong emphasis on the practical application of concepts pursued through Project-based, Internship, and Professional Partnership opportunities.

Such B.Tech AI & ML graduates are positioned to take up jobs in AI engineering, machine learning engineering, data science, and research science, among others. It enables them to be prepared for the diverse sectors like technology, health sector, financial sector, and automobile sector.

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Objectives of the Program

  • Ensure that students will build a good background in computer science.
  • Gain adequate knowledge of the various AI and ML concepts that exist.
  • Enable students to apply AI and ML knowledge with real-world strategies and practices to enhance computation.
  • Help develop recipients’ capacity for analytical and problem-solving skills.
  • Facilitate the people’s cooperation and their communication skills.

Study at Raisoni for a successful future & drive your career in the right direction with our B.Tech cse in AI & ML Programs

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Key Details

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

Center of Excellence in IoT and Python.

MoUs with various organisations.

Incubation centre for financial support in innovative projects and startups.

ICT-enabled smart classrooms.

Labs with higher-configuration computers.

Future of AI & ML Engineers

₹12,00,000/Year*

In India, professionals with 5+ years of experience earn varying salaries based on location, company, and individual knowledge.

38% Market Growth

According to a report by Precedence Research, the global market is projected to grow at a CAGR of 38% by 2033.

2.5 Million Jobs

2.5 Million Job Opportunities worldwide for experienced professionals.

Eligibility

  • Maharashtra State Candidates:
    • The candidate must have passed HSC in physics and mathematics and any one of the subjects –chemistry/biology/biotech/technical /vocational.
    • At least 50% Marks in their respective examination, 45% for reserved categories.
    • Valid MHT-CET 2020 or non-zero positive JEE MAIN score.
    • Otherwise, a Diploma in Engineering with 45% marks (40% for the reserved categories) is also acceptable.
    All India and UT Candidates:
    • Same as the above given for Maharashtra State candidates.
    • Preference for any non-zero positive score in JEE MAINS over MHT-CET score.
    NRI/OCI/PIO/Foreign Nationals:
    • Successful completion of HSC or equivalent in physics, maths, and any other additional subject.
    • The student must have passed these subjects with a minimum of 45 percent marks.
    • They must also fulfil some requirements that the authority deemed necessary to be met.
  • Indian Nationals:
    • SSC/HSC and Diploma in Engineering passed with at least 45% (40% for reserved categories).

    OR

    • B.Sc. with 45 percent marks and HSC with mathematics as a preferred subject. Engineering Graphics/Mechanics is required and, therefore, needs to be passed if need be.

    OR

    • D.Voc. Stream in the same or allied sector. Bridge courses may apply.
    All Candidates:

    Additional conditions have to be fulfilled according to the authority's statement.

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 Centers/e-Scrutiny Center shall be eligible in the displayed merit list.
A) CAP Round Admission:
  • Allocation: 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).
Required 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
  • Caste/Tribe Validity Certificate for SC/ST/OBC/VJ/DT-NT (A/B/C/D)/EWS Categories

Tools

Career Opportunities

Entry-Level Job Opportunities
  • Junior Data Scientist
  • Machine Learning Engineer
  • AI Research Assistant
  • Data Analyst
Mid-Level Job Opportunities
  • Data Scientist
  • Senior Machine Learning Engineer
  • AI Engineer
  • Data Engineer
Senior-Level Job Opportunities
  • Lead Data Scientist
  • Principal Machine Learning Engineer
  • AI Architect
  • Chief AI Officer (CAIO)

Future Studies

There are several postgraduate programs and degrees you can pursue after completing a B.Tech in AI & ML Engineering, which are as follows

Master of Technology (M.Tech)
Master of Business Administration (MBA)
Master of Science (MSC)

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FAQ

What Skills are Needed to Pursue B.Tech in Artificial Intelligence and Machine Learning?

Those who are willing to do B. Tech in AI and ML should be good analysts, well-versed in mathematics and statistics, have sound programming knowledge, and be passionate about solving problems using AI and ML techniques.

Some of the jobs available to graduates in AI and ML include AI engineer, Machine learning engineer, data scientist, AI Researcher, Natural Language Processing specialist and Robotics engineer.

A B. Tech in AI and ML is rather narrow but highly valuable as, to this day, AI and automation find themselves in high demand, particularly in healthcare, finance, automotive, and technology industries. This gives the specialization a sharp advantage over other computer-related degrees, particularly in new technologies, innovations and innovative occupations.

The minimum starting pay scale of an AI and ML Engineer in India ranges from INR 6,00,000 to INR 12,00,000 in Tit-Bit Company and could vary on the Company- location- and position-specific pay scale terms.

The promotion prospects of AI and ML Engineers are very bright, and they can grow to the positions of Senior AI Engineer, Machine Learning Architect, AI Product Manager, or CAIO. Increasing experience and expertise make professionals capable of engaging in organizations in the lead in the usage of AI.

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Applications of admission are now
open for academic year 2024-2025

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