Khatu Shyam Institute of Management & Technology (KSIMT) offers a Bachelor Program in Artificial Intelligence and Data Science Engineering through Distance, Online, Correspondence and Work-Integrated learning for eligible working professionals.

The program provides structured theoretical learning across Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Data Structures, Database Management, Probability and Statistics, Natural Language Processing, Big Data Analytics, Computer Vision, Cloud Computing and intelligent systems.

It is designed for eligible professionals who want to develop advanced theoretical knowledge while continuing employment in IT, software, data, analytics, technology or related fields.

Eligible professionals across India, UAE, Dubai, Kuwait, Qatar, Oman, Saudi Arabia, Bahrain and other overseas locations can enquire.

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

Work + Study = Success

Why Choose AI & Data Science Engineering at KSIMT?

Artificial Intelligence and Data Science are increasingly used across technology, business, analytics, automation, information systems and data-driven decision environments.

Working professionals may find regular campus attendance difficult because of job responsibilities, shifts or overseas employment.

The KSIMT learning model provides flexible theoretical education that can be managed alongside relevant professional responsibilities.

Program Highlights

• Distance, Online & Correspondence learning

• Work-Integrated education model

• 100% theoretical study

• Digital e-books

• Student Login after admission

• Digital ID Card after admission

• No regular classroom attendance

• No regular campus dependency

• No regular laboratory attendance under the theoretical model

• No mandatory coding laboratory

• Flexible learning alongside employment

• 28 theoretical subjects

• Applicable theoretical examinations and assignments

• Examination assignment submission by courier only

• India and overseas accessibility

• Human student support

Who Should Explore This AI & Data Science Engineering Program?

The program primarily focuses on eligible experienced professionals working in technology and related environments.

Relevant Professional Profiles May Include

• IT Professionals

• Software Professionals

• Data Professionals

• Data Analysts

• System Professionals

• Computer Professionals

• Technology Professionals

• Business Intelligence Personnel

• Database Personnel

• Technical Support Professionals

• Automation Professionals

• Information System Personnel

• Experienced Technology Professionals

Program eligibility depends on previous education, relevant professional experience and applicable admission requirements.

Eligibility for Bachelor Program in Artificial Intelligence and Data Science Engineering

Regular Entry

Qualification: 12th Grade with PCM – Physics, Chemistry and Mathematics
Duration: 4 Years

Candidates must also meet applicable KSIMT admission and relevant professional-experience requirements.

Lateral Entry

Qualification: Applicable 3-Year Engineering Diploma
Duration: 3 Years

Lateral Entry depends on previous technical qualification, relevant field, professional experience and applicable document verification.

Working Professional Requirement

KSIMT primarily focuses on experienced working professionals.

Candidates should have 3 or more years of relevant professional experience, with previous qualification and professional background appropriately aligned with the selected program.

Fresh candidates without applicable professional experience are not eligible under the established working-professional admission model.

Government employees should obtain applicable departmental permission or NOC wherever required.

Program Duration

• Regular Entry: 4 Years

• Lateral Entry: 3 Years for eligible Engineering Diploma holders

Final entry level is determined after applicable qualification, relevant professional experience and document review.

AI & Data Science Engineering Syllabus

The Bachelor Program includes 28 theoretical subjects across four years, with seven subjects in each academic year.

First Year

1. Engineering Mathematics I

2. Physics for Engineers

3. Introduction to Programming

4. Basic Electrical Engineering

5. Engineering Mechanics

6. Engineering Chemistry

7. English and Communication Skills

Second Year

1. Engineering Mathematics II

2. Data Structures

3. Digital Logic Design

4. Discrete Mathematics

5. Object-Oriented Programming

6. Computer Organization and Architecture

7. Basic Electronics

Third Year

1. Engineering Mathematics III

2. Artificial Intelligence

3. Data Science Fundamentals

4. Database Management Systems

5. Operating Systems

6. Machine Learning Algorithms

7. Probability and Statistics

Fourth Year

1. Engineering Mathematics IV

2. Deep Learning

3. Natural Language Processing

4. Big Data Analytics

5. Computer Vision

6. Data Visualization and Communication

7. Cloud Computing and IoT

The syllabus follows the applicable theoretical program structure. Subject sequence or academic arrangement may be updated according to applicable academic requirements.

Artificial Intelligence

Artificial Intelligence introduces theoretical concepts related to systems designed to perform tasks involving reasoning, decision-making, pattern recognition and intelligent processing.

Learning Areas May Include

• AI fundamentals

• Intelligent systems

• Search and reasoning concepts

• Knowledge-related concepts

• Decision-making principles

• AI applications

• Responsible use of AI

Data Science Fundamentals

Data Science focuses on understanding how data can be organised, analysed and interpreted.

Students develop theoretical understanding across:

• Data Science concepts

• Data workflows

• Data preparation concepts

• Data analysis

• Statistical thinking

• Data-driven decision concepts

• Data interpretation

Machine Learning

Machine Learning forms an important theoretical component of modern AI systems.

Students study concepts related to:

• Machine Learning fundamentals

• Learning algorithms

• Classification concepts

• Regression concepts

• Model-related concepts

• Data-driven prediction

• Evaluation principles

The program focuses on theoretical understanding rather than mandatory coding laboratories.

Deep Learning

Deep Learning introduces theoretical concepts behind advanced Machine Learning systems.

Applicable areas may include:

• Neural network fundamentals

• Deep neural networks

• Learning architectures

• Model-training concepts

• Representation learning

• AI application concepts

Natural Language Processing

Natural Language Processing focuses on theoretical concepts involved in computer processing and understanding of human language.

Students explore applicable concepts related to:

• Language data

• Text processing

• Language models

• Text classification concepts

• Information extraction

• NLP applications

• AI-based language systems

Big Data Analytics

Modern organisations may generate large and complex datasets.

Big Data Analytics provides theoretical exposure to:

• Big Data concepts

• Data processing

• Distributed data concepts

• Large-scale analytics

• Data management

• Analytical systems

• Big Data applications

Computer Vision

Computer Vision introduces theoretical concepts related to systems that process and interpret visual information.

Applicable learning may include:

• Digital image concepts

• Image processing fundamentals

• Feature concepts

• Object recognition principles

• Visual-data interpretation

• Computer Vision applications

Data Structures & Programming Concepts

Students develop theoretical understanding of programming and data organisation through subjects including:

• Introduction to Programming

• Data Structures

• Object-Oriented Programming

• Algorithm-related concepts

• Data organisation

• Programming logic

No mandatory coding laboratory forms part of the theoretical KSIMT learning model.

Database Management Systems

Database Management Systems introduces concepts used to organise, manage and retrieve structured information.

Students explore:

• Database fundamentals

• Data models

• Database organisation

• Query concepts

• Data relationships

• Database-management principles

• Information management

Probability, Statistics & Engineering Mathematics

Mathematics and statistics provide an important theoretical foundation for AI and Data Science.

The program includes:

• Engineering Mathematics I

• Engineering Mathematics II

• Engineering Mathematics III

• Engineering Mathematics IV

• Probability and Statistics

• Mathematical reasoning

• Statistical concepts

Data Visualization & Communication

Data becomes more useful when information can be interpreted and communicated clearly.

Students study theoretical concepts related to:

• Data Visualization

• Charts and graphical representation

• Information presentation

• Data interpretation

• Analytical communication

• Data storytelling concepts

Cloud Computing & IoT

The program introduces theoretical concepts across Cloud Computing and Internet of Things (IoT).

Students receive exposure to:

• Cloud Computing concepts

• Cloud service models

• Distributed computing concepts

• IoT fundamentals

• Connected systems

• Data and cloud integration

• Intelligent connected technologies

100% Theoretical Learning Through Digital E-Books

KSIMT follows a 100% theoretical education model.

Applicable study material is provided digitally through e-books according to the program and subject structure.

Learning Model

• Digital e-books

• Subject-wise theoretical study

• Flexible self-study

• No regular classroom attendance

• No regular laboratory attendance

• No mandatory coding laboratory

• No regular campus dependency

• Study alongside employment

• Applicable academic guidance

Student Login & Digital ID Card After Admission

After applicable admission formalities are completed and admission is confirmed, students receive applicable KSIMT student access.

After Admission Confirmation

Students receive:

• Student Login

• Digital ID Card

• Applicable digital e-book access

• Program and academic information

• Applicable examination information

• Student-support access

Examination & Assignment Process

The Bachelor Program in Artificial Intelligence and Data Science Engineering follows a theoretical examination and assignment-based academic process according to applicable KSIMT requirements.

Students receive applicable:

• Examination schedule

• Examination instructions

• Theory-based question papers

• Assignment requirements

• Subject-wise academic instructions

• Submission instructions

Examination Assignment Submission by Courier

Applicable completed examination assignments or answer submissions must be submitted to KSIMT by courier only according to the communicated examination instructions and submission timeline.

Students should:

1. Complete applicable theoretical assignments or answers.

2. Follow the prescribed academic format.

3. Prepare the required documents for submission.

4. Send the completed submission to KSIMT by courier.

5. Retain applicable courier receipt or tracking information.

6. Complete submission within the communicated deadline.

Online or digital examination assignment submission should not be assumed unless KSIMT officially changes the applicable procedure.

Examination Result

After applicable submissions are received and evaluated according to academic requirements, the Examination Result is processed according to the applicable examination cycle.

Students should follow official KSIMT communication regarding result information.

AI & Data Science Engineering for Working Professionals in India

Eligible professionals across India can explore the program while continuing relevant employment.

The program may be relevant to experienced professionals working across:

• Information Technology

• Software

• Data Analytics

• Information Systems

• Database Management

• Business Intelligence

• Technology Operations

• Automation

• Digital Systems

• Technical Services

• Data-driven Business Operations

Program selection should remain relevant to previous education and professional experience.

AI & Data Science Engineering for UAE & Dubai Professionals

Eligible professionals working in UAE and Dubai can explore the program remotely.

The flexible theoretical structure can help professionals manage education around technology jobs, shift duties, project schedules and overseas employment.

UAE & Dubai Student Support May Include

• Eligibility review

• Remote admission guidance

• Student Login after admission

• Digital ID Card

• Digital e-book access

• Examination and assignment guidance

• Examination Result support

• Academic documentation guidance

• Verification support

• Available attestation guidance

• Human student support

Applicable completed examination assignments or answer submissions are submitted to KSIMT by courier only according to applicable instructions.

AI & Data Science Engineering for Saudi Arabia, Kuwait, Qatar, Oman & Bahrain

Eligible technology, IT, software, analytics and data professionals working across Saudi Arabia, Kuwait, Qatar, Oman and Bahrain can also enquire.

The flexible theoretical learning structure allows applicable education to be managed alongside overseas employment.

Eligible professionals in other overseas locations can also enquire.

Course Fee

Total Program Fee: 65,500 (INR)

Applicable Fee Includes

• Admission Fee

• Digital Study Material

• Examination Fee

• Digital ID Card

• Applicable Taxes

Payment Options

• One-time payment

• Applicable EMI options

• Authorised KSIMT payment methods

Students should make payments only through authorised KSIMT channels and retain applicable payment records.

Admission Process

Step 1 – Share Your Profile

Provide previous education, relevant professional experience, current job profile and location.

Step 2 – Eligibility Review

The profile is reviewed according to applicable AI & Data Science Engineering admission requirements.

Step 3 – Entry-Level Confirmation

Regular or Lateral Entry is determined according to previous qualification, relevant professional experience and applicable requirements.

Step 4 – Submit Documents

Submit applicable educational, professional and identity documents.

Step 5 – Complete Admission Formalities

Complete applicable documentation and payment requirements.

Step 6 – Receive Student Access

After admission confirmation, receive the Student Login, Digital ID Card and applicable digital e-book access.

Step 7 – Begin Theoretical Learning

Begin subject-wise theoretical study according to applicable academic requirements.

Program Information & Intended Use

Candidates should understand the program structure, theoretical learning model, eligibility and intended requirements before admission.

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

Requirements can differ between private employers, government departments, educational institutions, professional bodies and overseas authorities.

Candidates requiring the program for a specific employment, promotion, government, further-study, licensing, immigration or overseas purpose should verify applicable requirements with the concerned organisation or authority before admission.

Frequently Asked Questions

What is the Bachelor Program in Artificial Intelligence and Data Science Engineering at KSIMT?

It is a theoretical Bachelor Program covering Artificial Intelligence, Data Science and related Engineering subjects through a flexible Distance, Online, Correspondence and Work-Integrated learning model.

Is this program designed for working professionals?

Yes. The program primarily focuses on eligible experienced professionals working in technology and related fields.

What is the duration?

The standard duration is 4 years for Regular Entry and 3 years for eligible Lateral Entry candidates.

What is the Regular Entry qualification?

The applicable Regular Entry qualification is 12th Grade with Physics, Chemistry and Mathematics (PCM).

Who can apply for Lateral Entry?

Eligible candidates with an applicable 3-Year Engineering Diploma may be considered for Lateral Entry, subject to profile and document review.

Is relevant work experience required?

Yes. Candidates should have 3 or more years of relevant professional experience and meet applicable admission requirements.

Is the program theoretical?

Yes. The program follows a 100% theoretical education model supported through digital e-books.

Does the program require regular coding laboratories?

No mandatory regular coding laboratory forms part of the theoretical learning model.

Is regular classroom attendance required?

No regular daily classroom attendance is required under the flexible theoretical learning model.

How many subjects are included?

The program includes 28 theoretical subjects across four years, with seven subjects in each year.

What AI and Data Science subjects are covered?

Core subjects include Artificial Intelligence, Data Science Fundamentals, Machine Learning Algorithms, Deep Learning, Natural Language Processing, Big Data Analytics, Computer Vision, Probability and Statistics, Database Management Systems, Data Visualization and Cloud Computing & IoT.

Does a student receive a Student Login?

Yes. After admission confirmation, the student receives an applicable Student Login.

Does a student receive an ID Card?

Yes. A Digital ID Card is provided after admission confirmation.

How is study material provided?

Applicable theoretical study material is provided digitally through e-books.

How are examination assignments submitted?

Applicable completed examination assignments or answer submissions are submitted to KSIMT by courier only according to the communicated examination instructions and deadline.

Can examination assignments be submitted online?

Under the current procedure, applicable examination assignments or answer submissions are submitted by courier only.

What is the total program fee?

The total program fee is 65,500 (INR).

Can UAE and Dubai professionals enquire?

Yes. Eligible professionals working in UAE and Dubai can enquire remotely.

Can professionals in Saudi Arabia, Kuwait, Qatar, Oman and Bahrain enquire?

Yes. Eligible professionals across these Gulf countries can enquire remotely.

Continue Working While Building AI & Data Science Knowledge

The Bachelor Program in Artificial Intelligence and Data Science Engineering provides structured theoretical learning across AI, Machine Learning, Data Science, Deep Learning, NLP, Big Data, Computer Vision, databases and Cloud Computing for eligible experienced professionals.

With 28 theoretical subjects, digital e-books, Student Login, Digital ID Card, flexible learning and structured examination support, eligible professionals can continue applicable education while managing employment across India, UAE, Dubai, Kuwait, Qatar, Oman, Saudi Arabia, Bahrain and other overseas locations.

Khatu Shyam Institute of Management & Technology (KSIMT)
511, Jaina Tower-3, A-1 Block, Janak Puri, New Delhi – 110058

Call / WhatsApp: +91 9953631363
Website: www.ksimt.ac.in
Email: khatushyaminst@ksimt.ac.in

Work + Study = Success

Course Offered By : KSIMT under autonomous mode through distance education