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»Master Program in Artificial Intelligence and Machine Learning Engineering (ME/MTech) – Distance & Online for Working Professionals in India & Overseas | KSIMT

Master Program in Artificial Intelligence and Machine Learning Engineering (ME/MTech) – Distance & Online for Working Professionals in India & Overseas | KSIMT

Khatu Shyam Institute of Management & Technology (KSIMT) offers a Master Program in Artificial Intelligence and Machine Learning Engineering (ME/MTech) through Distance, Online, and Correspondence learning, designed for working professionals and aspirants in India, UAE, Dubai, Kuwait, Qatar, Oman, Saudi Arabia, Bahrain, and overseas.

This program follows a work-integrated, 100% theoretical education model, enabling learners to upgrade advanced AI, machine learning, and data-driven system knowledge without leaving their job.

KSIMT operates under the guidelines of the Government of Delhi and Government of India.

Why Choose Master Program in Artificial Intelligence and Machine Learning Engineering at KSIMT

  • Distance, Online & Correspondence mode

  • Work-Integrated education for working professionals

  • 100% theoretical study through digital e-books

  • No regular attendance

  • No coding lab, server setup, or campus dependency

  • Suitable for India & overseas professionals

Who Can Apply

  • Working professionals in IT, software, analytics, and automation roles

  • Engineering graduates seeking master-level qualification upgrade

  • Private sector employees

  • Government employees (with departmental permission where required)

  • Professionals in data analysis, systems, AI applications, and technology management

  • NRIs and overseas professionals

Program Structure – Master Program in Artificial Intelligence and Machine Learning Engineering (ME/MTech)

  • Advanced fundamentals of artificial intelligence (theoretical)

  • Machine learning concepts and algorithms overview

  • Deep learning and neural network fundamentals

  • Data science and data analytics concepts

  • Natural language processing (NLP) basics

  • Computer vision and pattern recognition theory

  • Intelligent systems and decision-making models

  • AI applications in industry and enterprise systems

  • Ethics, governance, and limitations of AI systems

  • Research methodology in AI and machine learning

  • Study material provided through digital e-books only

No practical work. No live coding. Fully theoretical.

Key Learning Areas

  • Artificial intelligence fundamentals

  • Machine learning and deep learning theory

  • Data analytics and intelligent systems

  • AI applications across industries

  • Ethics, governance, and responsible AI concepts

  • Research methods and technical analysis

(All subjects are covered theoretically only.)

Recognition, Validity & Use

  • KSIMT follows Government of Delhi & Government of India guidelines

  • UGC / AICTE approval applies only to full-time campus-based colleges

  • KSIMT programs are private, distance, work-integrated, and theoretical

  • Certificates are used for private jobs, promotions, higher studies eligibility, and international attestation, as per employer and country rules

This program is academic and theoretical and does not replace statutory AI certifications, software licenses, or mandatory hands-on project requirements.

Suitable for India & Overseas Students

This program is suitable for learners in
India, UAE, Dubai, Kuwait, Qatar, Oman, Saudi Arabia, Bahrain, and overseas.

Study and examinations can be completed from anywhere.

Fees & Student Support

  • Clear and transparent fee structure

  • EMI and one-time payment options

  • Dummy certificate copy available on request (reference only)

  • Guidance for document attestation after course completion

  • Dedicated human counselling support

Contact KSIMT – Master Program in Artificial Intelligence and Machine Learning Engineering Admissions

Khatu Shyam Institute of Management & Technology (KSIMT)
511, Jaina Tower-3, A-1 Block, Janak Puri, New Delhi – 110058
Call / WhatsApp: 9953631363
Website: www.ksimt.ac.in
Email: khatushyaminst@ksimt.ac.in

- Total Course Fee: 70,500/- INR* (EMI Option Available)
Include: I card, Study Material, Admission and Examination Fee, Taxes etc..

- Payment Mode:  Online using UPI, Credit Card, Debit Card, Net Banking & Offline through Demand Draft / Cheque / Cash

- Examination Mode: Annual, Theoretical Study Only

- Qualification Eligibility:

Regular Entry: Bachelor’s Degree in Engineering (B.Tech/B.E.)

- Duration:

2 Years (Regular Entry)

Course Syllabus :

First Year

Second Year

- Mathematics for Machine Learning

- Artificial Intelligence Fundamentals

- Data Structures and Algorithms for AI

- Machine Learning Algorithms

- Probability and Statistics for AI

- Linear Algebra for Machine Learning

- Natural Language Processing

- Data Mining and Data Preprocessing

- Deep Learning Techniques

- Reinforcement Learning

- Computer Vision and Image Processing

- AI in Robotics

- Big Data Analytics and AI

- Ethics and Governance in AI

- AI for Business Applications

- Research Methodology in AI and Machine Learning Engineering

Course Offered By : KSIMT under autonomous mode through distance education

Request a Callback

Admission Guidance for Working Professionals Work experience preferred (3+ years recommended)

I authorize Khatu Shyam Institute of Management & Technology to contact me regarding my enquiry. This will be a service-related call/SMS (NDND compliant).

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Student Success

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  • Tanaya Ranjan
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  • Guguloth Krishna
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  • Lokesh Pillare
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  • Subrato Sasmal
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  • Jyotir Moypal
    Working in
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  • Dhirendra Pati
    Working in
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Important Notice

Official Payment Advisory

This is to inform all students and prospective applicants that Khatu Shyam Institute of Management & Technology (KSIMT) shall not be responsible for any payments made to unauthorized persons or accounts. All fees must be paid only to the officially designated bank account of KSIMT, as communicated through the official website, official contact numbers, or officially authorized representatives. Any payment made to third parties, personal accounts, agents, or other unauthorized sources shall be entirely at the payer’s own risk. KSIMT shall not be liable for any refunds, adjustments, or services arising from such transactions. For your safety, students are strongly advised to verify all payment details directly with KSIMT before making any financial transaction. For assistance, please contact us through the official contact details provided on the KSIMT website. Issued by: KSIMT (Operates under the guidelines of the Government of Delhi & Government of India).

Examination Notice – December 2025 Session

Dear Students, This is to inform you that the Examination for the Academic Session December 2025 will commence from 20 December 2025 onwards. All students are advised to clear all pending dues, including Course Fee, Re-Examination Fee, and Late Fee (if any), on or before 10 November 2025 to be eligible to appear in the examination. Students who fail to clear their dues within the stipulated time may not be permitted to appear in the examination. For further assistance, please contact us at 011-45792309 (Monday to Friday | 12:00 Noon to 2:00 PM) Issued by: KSIMT (Operates under the guidelines of the Government of Delhi & Government of India).

Admission Advisory – Important Information

Before taking admission, students are advised to carefully read, understand, and agree to the following information: Khatu Shyam Institute of Management & Technology (KSIMT) is an autonomous private institute offering distance, online, and work-integrated programs, specially designed for working professionals and skill enhancement. KSIMT operates under the guidelines of the Government of Delhi and Government of India and follows a theoretical, work-integrated education model. As a result, approvals such as AICTE or UGC, which are applicable to full-time, campus-based colleges, are not required for KSIMT’s mode of education. KSIMT programs are career-oriented and knowledge-focused, intended for private employment, professional growth, promotions, skill upgradation, and industry usage. Students are advised to take admission only after clearly understanding the course structure, delivery mode, and intended application of the program. By proceeding with admission, the student confirms that they have read, understood, and accepted the above information. Issued by: KSIMT (Operates under the guidelines of the Government of Delhi & Government of India).

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