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B.Tech in CSE in
Artificial Intelligence & Machine Learning

Shaping the Future of Innovation, Where AI Transforms Possibilities

4 Years Full Time
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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

GHRU Amravati

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

GHRU Amravati

ICT-enabled smart classrooms

GHRU Amravati

MoUs with various organisations.

GHRU Amravati

Incubation centre for financial support in innovative projects and startups.

GHRU Amravati

Nodal Center of Virtual Lab.

GHRU Amravati

NPTEL centre of IITM.

Future in CSE (Artificial Intelligence & Machine Learning)

Smart Cities GHRU Amravati

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 GHRU Amravati

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 ProjectsGHRU Amravati

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

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. We also accept SAT 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

1

The University will issue admission notifications regarding the Raisoni University Common Entrance Test (RUCET) in newspapers, on the University’s website, on the University notice board, and through other publicity media before the commencement of the academic year. This entrance examination is mandatory for admission. However, candidates who have appeared for a government-recognised entrance examination are also eligible, as per University guidelines.

2

The list of candidates provisionally selected for admission or shortlisted on the basis of merit will be displayed on the University notice board and the University website. Alternatively, students may be informed directly about their admission after the last date of application.

3

Candidates whose results of the qualifying examinations are awaited may also apply. They will be admitted provisionally. However, such candidates must produce the previous year’s mark sheet and School or College certificates as proof of meeting the required eligibility criteria before the due date, failing which the provisional admission will not be granted. The admitted candidate must present the mark sheet of the qualifying examination within one month from the due date of entry, failing which the provisional admission shall be cancelled.

4

If a candidate admitted provisionally as mentioned above does not obtain the required marks to fulfil the eligibility criteria for admission, the provisional admission granted shall be cancelled.

5

The application form may be rejected for any of the following reasons:

  • The candidate does not fulfil the eligibility criteria.
  • The prescribed fee has not been enclosed.
  • The application form has not been signed by the candidate and their parent or guardian, wherever required.
  • Supporting documents required for admission have not been enclosed.
6
  • An enrolment or registration number will be assigned to the student by the University after verification and submission of all necessary documents and fees.
  • Admission rules as framed by the University shall be applicable to all admissions from time to time.

Technical Skills Acquired

Software :
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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

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