MTech Artificial Intelligence Engineering in Distance Education

Masters Of Technology Artifical Intelligence Engineering In Distance Education | Correspondence | Part Time | Online

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UGC Approved

AICTE Recognized

AIU Member

WES Member

Duration:

2 Years (4 Semesters)

Universities:

1 University

Fees:

26,500/-

Per semester

Eligibility:

Candidates should have a B.Tech (Bachelor of Technology) or B.E. (Bachelor of Engineering) degree in Computer Science Engineering or a related field.

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Program Overview

The M.Tech in Artificial Intelligence program offers a deep dive into the world of AI. Students learn about core topics like machine learning, deep learning, and natural language processing. The program includes hands-on lab work, practical projects, and industry internships to give real-world experience. Courses cover key areas such as computer vision, robotics, and data analysis. You’ll also explore the ethical and legal aspects of AI. This program prepares you for exciting careers in tech by building strong programming and analytical skills.

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Educational Qualification: A bachelor’s degree in Mechanical Engineering or a related field, typically with a minimum 50%
Entrance Exam: Some institutions require you to pass a relevant entrance exam. Common exams include:
GATE (Graduate Aptitude Test in Engineering): Widely accepted by many institutions in India.
Institution-specific Entrance Tests: Some universities or institutes may have their own entrance exams.

Per semester 26,500/- (fee might vary university to university)

Minimum 2 years and Maximum 4 years program

In-Depth Knowledge:
Gain a thorough understanding of core AI concepts, including machine learning, deep learning, and natural language processing.
Hands-On Experience:
Work on practical lab exercises and real-world projects to apply theoretical knowledge.
Industry Exposure:
Participate in internships to gain valuable experience and insights from the tech industry.
Advanced Tools:
Learn to use cutting-edge AI tools and frameworks, such as TensorFlow and PyTorch.
Specialized Topics:
Explore advanced areas like computer vision, robotics, and big data analytics.
Ethics and Policy:
Understand the ethical and legal considerations surrounding AI technologies.

Core AI Concepts:
Students will delve into fundamental AI topics such as machine learning, deep learning, and natural language processing.
Hands-On Learning:
The program emphasizes practical experience through lab work, real-world projects, and industry internships.
Advanced Topics:
Courses cover specialized areas like computer vision, robotics, and big data analytics.
Ethical and Legal Studies:
Students will explore the ethical implications and legal aspects of AI technologies.
Research and Development:
Opportunities for engaging in research projects and thesis work are provided to encourage innovation and contributions to the AI field.
Skill Building:
The curriculum is designed to develop strong programming and analytical skills, preparing students for successful careers in AI.

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Duration: 2 Years (4 Semesters)

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4 Credits Per Subject

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M.Tech Artificial Intelligence Engineering

Rating: 4.4/5

26,500/-

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Key Role Of M.Tech. Artificial Intelligence Engineering

Foundations of AI: Provides a solid grounding in the basic principles and concepts of artificial intelligence, setting the stage for more advanced topics.
Machine Learning: Teaches algorithms and techniques for training models to recognize patterns and make predictions from data.
Deep Learning: Focuses on neural networks and advanced architectures used in tasks like image and speech recognition.
Natural Language Processing (NLP): Equips students with skills to process and analyze human language data, enabling applications like chatbots and language translation.

Computer Vision: Covers techniques for interpreting and understanding visual information from the world, such as object detection and image classification.
Robotics: Introduces students to the principles of robot design and control, integrating AI to enable autonomous operation.
Data Mining and Analysis: Provides methods for extracting meaningful insights from large datasets, critical for decision-making processes.
Ethics and Law in AI: Addresses the ethical dilemmas and legal issues surrounding AI technology, preparing students to navigate the societal impacts of their work.

Talk to our academic counselors and know in detail how the program is designed to add in your career transformation.

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Introduction To M.Tech in Artificial Intelligence Engineering

Course Snapshot

Earn your Online M.Tech while you work: No need to put your career on hold to pursue a degree.
Flexible schedule: Online study materials to fit in your busy schedule.
Get credit for your experience: The program may award credit for relevant work experience, potentially shortening your program time.
Build your network: Connect with a diverse group of working professionals and expand your professional network.
Focus on what matters: The program may tailor coursework to the skills you need to advance in your engineering career.

15+

Streams

100%

Regular Degree

10+

Industry Projects

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Admission Procedure

Online Form

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Enrollment

Get a call back from a counselor, submit and verify your documents, and proceed to enroll for the program of your choice

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Our Alumini

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CIIS has the most dedicated staffs, they were very patient enough to answer my never ending queries. They are very experienced in handling and guiding their students !! It was the most pleasant experience and journey with them. Looking forward to collaborate for another enriching student’s experience with CIIS. Thank you all.

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FAQs

Let’s Clear Your Doubts

CIIS is pioneer leading organization to provide Distance Education across world and traditional regular courses in India. We are imparting education to thousands of students and working professionals in India through various UGC, AICTE, Ministry of HRD Govt. of India approved national and internationally acclaimed Universities.

Time Flexibility
Affordable Fees and Flexible Payment Options
Individual Attention
Convenient Educational Methodology
Individual Counseling
eSupport
Excellent Globally Recognized Curriculum

Yes, an MTech in Distance Education from a recognized and accredited institution is valid in India. However, it’s essential to ensure that the program is offered by a university or institution approved by the Distance Education Bureau (DEB) or a relevant accrediting body.

To ensure the validity of your MTech in Distance Education, check that the program is offered by a university recognized by the University Grants Commission (UGC) or another legitimate accrediting body in India. Verify that the institution is also approved by the Distance Education Bureau (DEB).

Yes, employers in India generally recognize MTech degrees obtained through distance education, provided the program is from a UGC-approved or DEB-recognized institution. It’s advisable to confirm the credibility of the institution and the program before enrolling.

The program typically lasts for two years, divided into four semesters.

Candidates usually need a Bachelor’s degree in Engineering, Technology, or a related field with a minimum percentage or CGPA as specified by the institution.

The curriculum includes machine learning, deep learning, natural language processing, computer vision, robotics, data mining, and AI ethics and law.

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