B.Tech - CSE Artificial intelligence

Shaping the Future of Innovation, Where AI Transforms Possibilities

About Course / Overview

  • Location - GHRSTU Nagpur
  • Duration -4 years (2 sem per year)
  • Course Type - Full time
  • Affiliated - UGC

The B.Tech in Artificial Intelligence program is aimed at giving students a thorough understanding of technological innovation and the employment of the technologies. The fundamental parts of the study involving machine learning, deep learning, natural language processing, robotics, and data analytics are covered. The program is a mix of theoretical knowledge and practice, equipping students with problem-solving capabilities to think and create solutions in different spheres. New technologies, with real-world applications as the main focus, form the curriculum and prepare the students for careers in AI and data science that are up to date. The curriculum stresses the importance of thorough involvement by making the students do practical work in advanced labs and projects, through which they gain technical as well as creative problem-solving skills.

Artificial Intelligence is the instrument driving the future of technology and society. As AI enters domains like healthcare, finance, and automotive while breaking into every other industry, the AI professional's job market will only see and increment in employment. The program not only opens doors for exciting careers but also gives the graduates an edge in technological innovations, enabling them to be the change agents in industries.

Objectives of Program

  • Gain comprehensive knowledge in algorithms, data structures, and computer systems.
  • Develop proficiency in machine learning techniques, data science methodologies, and feature engineering.
  • Master the application of AI technologies in practical scenarios including robotics, healthcare, and cybersecurity.
  • Understand and engage with emerging trends such as quantum computing, blockchain, and advanced analytics.

Future in CSE Artificial Intelligence

  • 40% Market growth projected by industry reports.
  • 3 Million job opportunities globally, for skilled professionals.
  • High demand for expertise in machine learning, data analysis, and AI-driven technologies.

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.

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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).

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:
  • 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 that you will learn

  • Programming Languages: Python, Java
  • AI Tools and Frameworks: TensorFlow, Keras, PyTorch
  • Data Science Techniques: Statistical Analysis, Data Visualization
  • Machine Learning Algorithms: Supervised, Unsupervised, Reinforcement Learning
  • AI Integration: Robotics, Natural Language Processing (NLP), Computer Vision

Careers

Job 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
Further Studies Options

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

  • M.Tech (Master of Technology) in fields such as AI and 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 interested in 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.

FAQs

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.
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