M.Tech - Artificial Intelligence Engineering

Harness the power of data and algorithms to drive the future.

About Course

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

The M.Tech in Artificial Intelligence is a master's program for graduates interested in pursuing a career in AI technologies and methodologies. The course is a blend of advanced principles of computer science and a specialisation in AI and machine learning. The course includes subjects and topics like neural networks, natural language processing, and robotics. It is designed such that students understand and apply AI in real-world scenarios and can contribute to novel innovative projects and ideas across various industries. The college provides students with state-of-the-art labs where they can engage in research and development and be prepared to tackle the challenges of the future in the tech landscape.

Objectives of Program

  • To help the students develop an understanding of advanced algorithms, machine learning techniques, and AI methodologies.
  • Master programming languages and tools necessary for AI, including Python, TensorFlow, and R.
  • To learn subjects in specialised AI areas such as natural language processing, neural networks, and robotics.
  • Acquire skills to design, implement, and analyse AI models and systems.
  • Understand the ethical implications and challenges associated with AI technologies.

Future in Artificial Intelligence Engineering

  • India is rapidly becoming a hub for AI development, with the AI market expected to reach $7.8 billion by 2025.
  • The demand for AI professionals in sectors like healthcare, finance, and retail is growing with the fast advancement in technology
  • The Indian government’s initiatives to promote AI in various industries further enhance the career opportunities for AI specialists in the country.

Eligibility

  • Candidates must possess a B.E./B.Tech. degree with a minimum of 50% marks for Open Category students and 45% marks for Reserved Category students.

Study at GHRSTU for a successful future & drive your career in the right direction with our M.Tech in Artificial Intelligence Engineering Programs

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Admission Procedure

Admission shall be through the Centralised Admission Process (CAP). Educational institutions will admit candidates through stages such as publishing the Information Brochure on the Competent Authority's website, which candidates should read carefully. Candidates must fill out the Online Application Form according to the notified schedule for respective admissions. For detailed information, refer to the Information Brochure for Admission to Undergraduate Technical Courses by DTE Maharashtra.

CAP Admission Process
  • Registration
  • Document verification
  • Filling out the application form
  • Release of merit list
  • Allotment of College(Freeze, Slide, Float)
  • Report to College along with DTE allotment letter, original documents and prescribed fees for Actual Admission
Documents Required

Candidates must submit the following self-attested documents (Original + 2 Sets of Photocopies) along with the application form:

  • DTE Registration Letter
  • DTE Allotment Letter (for CAP)
  • Entrance Exam Score Card
  • SSC (Std. X) Mark sheet
  • HSC (Std. XII) Mark sheet
  • Diploma Mark Sheet/Certificate (if applicable)
  • Provisional Degree (if applicable)
  • College Leaving Certificate / Transfer Certificate
  • Eligibility Certificate (for candidates from outside Maharashtra)
  • Domicile Certificate
  • Nationality Certificate
  • Enrolment Form
  • Any other document mentioned as per DTE
  • PAN Card & Aadhar Card Photocopy
  • Bank Passbook Photocopy (Aadhar linked A/C Number)

Technical Skills that you will learn

  • Advanced Python Programming
  • Deep Learning with TensorFlow & PyTorch
  • Machine Learning Algorithms
  • Natural Language Processing
  • Neural Networks
  • Computer Vision
  • Big Data Analytics
  • Reinforcement Learning
  • AI Model Deployment
  • Ethical AI Practices

Careers

Job Opportunities
Entry Level:
  • AI Engineer
  • Data Scientist
  • Machine Learning Engineer
Mid Level:
  • AI Solutions Architect
  • Lead Data Scientist
  • NLP Specialist
Senior Level:
  • Chief AI Officer
  • Director of AI Research
  • Senior AI Consultant
Further Studies Options

M.Tech in Artificial Intelligence graduates have several opportunities for advanced studies, including:

  • PhD (Doctor of Philosophy) in Artificial Intelligence, Machine Learning, or Robotics.
  • MBA (Master of Business Administration) with a focus on technology management.
  • Post-doctoral research in AI ethics, autonomous systems, or AI policy.
  • Specialised Courses in emerging AI fields such as Quantum AI, AI in Healthcare, and Autonomous Systems.

FAQs

What does the course include?

The M.Tech in Artificial Intelligence Engineering covers advanced topics in AI, such as machine learning, neural networks, natural language processing, and computer vision. Students will get to experience hands-on projects, research opportunities, and practical applications of AI techniques to address real-world challenges.

Graduates with an M.Tech in Artificial Intelligence Engineering can expect starting salaries ranging from ₹3 to ₹6 lakhs per annum, depending on factors like the industry, company, and individual skill set.

Essential technical skills for computer engineers in this field include proficiency in Python programming, an understanding of machine learning algorithms, experience with neural networks and natural language processing, and expertise in data analysis and visualisation. They should have a basic understanding of deep learning frameworks such as TensorFlow and PyTorch, cloud computing platforms like AWS and Azure, and software development methodologies. They can further benefit from knowledge of data structures, algorithms, and statistical analysis.

To be eligible for admission, candidates must possess a Bachelor’s degree in Computer Science, Engineering, or a related field with at least 50% marks. Additionally, they should qualify for an entrance exam such as GATE or a similar test as required by the institution.

Graduates can expect job opportunities including roles as AI Research Scientists, Machine Learning Engineers, Data Scientists, AI Software Developers, NLP Engineers, Computer Vision Specialists, Robotics Engineers, and AI Consultants.

The assessment for the M.Tech in Artificial Intelligence Engineering program includes a combination of written examinations, practical assignments, research projects, presentations, and lab work to evaluate both theoretical knowledge and practical skills.

The most in-demand certifications for students in this field include AWS Certified Machine Learning – Specialty, Google Professional Data Engineer, Microsoft Certified: Azure AI Engineer Associate, Certified Deep Learning Specialist, TensorFlow Developer Certificate, and IBM AI Engineering Professional Certificate. Other valuable certifications are NVIDIA Deep Learning AI Certificate, DataCamp Certifications in AI and Machine Learning, Coursera AI Specialization, and edX MicroMasters in Artificial Intelligence.

The skills and languages that can help students land high-paying jobs in AI include Python programming, machine learning, deep learning, neural networks, natural language processing, cloud computing platforms such as AWS and Azure, big data technologies, data science, and AI solutions.
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