B.Tech in Computer Science Engineering in Artificial Intelligence & Machine Learning | Ghru Amravati

About Course

The course B.Tech in Artificial Intelligence aims to equip students with the knowledge regarding technological advancements in Artificial Intelligence technologies. These also include areas which are fundamental to advanced study and practice in today’s modern world, such as Machine Learning, Deep Learning, Natural Language Processing, Robotics, and Data Analytics. Linking theory with practice, the program provides students with the opportunity to acquire problem-solving skills to address problems within different domains.

A significant amount of attention is paid to the practical aspects of the program and the digital skills required for job search in the field of artificial intelligence and data analysis. Students are also allowed to work in sophisticated lab settings and in project-based learning to develop both technical and innovative problem-solving capabilities. Given the role of AI in transforming industries such as healthcare, finance, and automotive, this program equips graduates for great responsibility in leading the advancement of technology and the world. Fortunately, as the customer base continues to rise, employment opportunities for such students are also expansive, propelling the field as a whole.

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Objectives of the Program

Build a solid foundation in computer science principles, focusing on algorithms, data structures, and system design to ensure strong problem-solving abilities.
Develop expertise in machine learning, deep learning, and AI-driven data science techniques for real-world applications in fields like robotics, healthcare, and cybersecurity.

Equip students with hands-on experience in applying AI tools and models to solve complex, industry-specific challenges across diverse sectors.
Foster innovation and creative thinking to explore emerging technologies such as quantum computing, blockchain, and AI-driven analytics for future advancements.
Cultivate interdisciplinary knowledge that bridges AI with other fields to create transformative solutions in diverse technological landscapes.

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

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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 CSE (Artificial Intelligence & Machine Learning)

Smart Cities

India's AI market is projected to reach ₹60,000 crore (approximately $8 billion) by 2025, growing at a compound annual growth rate (CAGR) of over 40% from 2020 to 2025.

Housing Boom

The Indian IT sector is expected to rebound in 2025 with a 15-20% growth in job opportunities across various industries, particularly in AI and data science roles.

Mega Projects

The generative AI industry alone is projected to create 1 million new job opportunities by 2028, contributing significantly to India's GDP.

Eligibility

First-Year Engineering
- 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.
Direct Second Year Engineering
- 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 Centers/e-Scrutiny Center 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 :

Recruiters

Recruiters

Recruiters

Recruiters

Recruiters

Skills :

Programming Languages
AI Tools and Frameworks
Data Science Techniques
Machine Learning Algorithms
AI Integration
Big Data Technologies
Cloud Platforms
Model Deployment and Automation
Ethical AI & Explainability

Career Opportunities

Entry Level

Data Analyst
AI Developer
Machine Learning Engineer
Junior Data Scientist

Mid Level

Robotics Engineer
Data Scientist
Cybersecurity Analyst
NLP Engineer
Business Intelligence Analyst

Senior Level

Senior Data Scientist
Lead AI Engineer
Chief Data Officer
AI Solutions Architect
Machine Learning Architect

Future Studies Options

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

M.Tech (Master of Technology)

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

MS (Master of Science)

In Artificial Intelligence, Robotics, Data Analytics, or Computational Neuroscience.

MBA (Master of Business Administration)

focusing on Technology Management or Data Analytics

Ph.D. (Doctor of Philosophy)

In AI, Deep Learning, Computational Intelligence, or Robotics.

Specialised Certifications and Courses

In areas like Quantum Computing, Natural Language Processing, Reinforcement Learning, and Advanced Robotics.

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 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, and 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 (e.g., TensorFlow, PyTorch), and advanced knowledge in data science and analytics.

AI is revolutionising industries by automating tasks, enhancing decision-making, and creating efficiencies. From healthcare (predictive diagnostics) to finance (algorithmic trading) and manufacturing (robotics), AI offers substantial improvements in operational outcomes.

Yes, a career in AI can be suitable for individuals without an extensive programming background. However, it is essential to learn the basics of programming and machine learning concepts. Many AI professionals transition from other fields like mathematics or engineering with appropriate training and certifications.

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