Bachelor Program in Artificial Intelligence and Data Science Engineering for Working Professionals

Bachelor Program in Artificial Intelligence and Data Science Engineering for Working Professionals

Khatu Shyam Institute of Management & Technology (KSIMT®) offers the Bachelor Program in Artificial Intelligence and Data Science Engineering for experienced working professionals who want to strengthen their theoretical knowledge in Artificial Intelligence, Data Science, Machine Learning and modern computing technologies while continuing their existing employment.

The program covers programming, data structures, databases, statistics, machine learning, artificial intelligence, data analytics, deep learning, natural language processing, computer vision, big data, cloud computing and other areas relevant to AI and Data Science Engineering.

Designed for Experienced Working Professionals
Minimum 3 Years of Relevant Work Experience
Regular Entry: 4 Years | Eligible Lateral Entry: 3 Years
100% Theoretical Learning | Digital E-Books | No Regular Classroom Attendance

KSIMT® is ISO Certified and operates under the guidelines set by the Government of Delhi and Government of India.

Work + Study = Success

Program Highlights

• Designed for experienced working professionals
• Minimum 3 years of relevant work experience
• Artificial Intelligence and Data Science focused curriculum
• 100% theoretical learning model
• Digital e-books
• Flexible learning alongside employment
• No regular daily classroom attendance
• No regular laboratory attendance
• Regular Entry and eligible Lateral Entry
• Examination and assignment support
• Online Examination Result / Verification
• Academic and documentation support

Distance, Online & Work-Integrated AI Engineering for Working Professionals

Working professionals often search for distance engineering, online engineering, correspondence engineering, distance learning engineering, distance education engineering and work-integrated engineering because attending regular daily college may not fit around full-time employment.

For professionals already working in IT, software, analytics, automation, data operations or related technical fields, leaving employment may also mean interrupting income, professional continuity and years of practical experience.

For many experienced professionals, the problem is not a lack of interest in higher learning. The real challenge is finding an engineering learning structure that fits around the job and responsibilities they already have.

KSIMT® provides a flexible theoretical learning model through digital e-books, academic guidance and remote student support, helping eligible professionals continue learning while remaining active in their existing careers.

Continue your professional journey while building structured theoretical knowledge in Artificial Intelligence and Data Science Engineering.

Who Is This AI & Data Science Engineering Program Designed For?

The program is primarily designed for experienced professionals already working in computing, software, data, analytics, automation or closely related technical environments.

It may be suitable for professionals involved in:

• Software Development
• Data Analysis
• Business Intelligence
• Database Management
• IT Operations
• Data Processing
• Automation
• Machine Learning Support
• Software Testing
• Technical Support
• Cloud & Data Platforms
• Information Systems
• Data Reporting
• Technology Projects

Software professionals, IT executives, data professionals, analysts, technical coordinators and other experienced personnel may apply according to their qualification, work experience and applicable eligibility requirements.

Build structured AI and Data Science knowledge around the technical experience you have already developed through your work.

Eligibility for Bachelor Program in Artificial Intelligence and Data Science Engineering

Applicants must have a minimum of 3 years of relevant work experience in the same or related field along with the applicable previous educational qualification.

Freshers are not eligible.

Regular Entry

Educational Qualification: 12th with PCM or applicable equivalent qualification
Relevant Work Experience: Minimum 3 Years
Program Duration: 4 Years

Admission is considered on the basis of educational qualification, relevant professional experience and applicable documents.

Lateral Entry

Educational Qualification: Applicable 3-Year Engineering Diploma in the same or related field
Relevant Work Experience: Minimum 3 Years
Program Duration: 3 Years

Eligible Diploma holders may be considered for Lateral Entry based on their previous technical qualification, relevant professional experience and document review.

Your previous qualification and relevant industry experience are reviewed to identify the applicable entry route.

Government employees should obtain the applicable departmental NOC before admission.

What Will You Study?

The Bachelor Program in Artificial Intelligence and Data Science Engineering develops theoretical understanding across computing, mathematics, data science and artificial intelligence.

Key Study Areas:

Programming • Engineering Mathematics • Data Structures • Database Management • Probability & Statistics • Computer Networks • Operating Systems • Artificial Intelligence • Machine Learning • Data Mining • Data Analytics • Big Data • Cloud Computing • Deep Learning • Natural Language Processing • Computer Vision • Data Visualization • AI Ethics • MLOps • Research Methodology

These study areas help professionals understand the principles behind modern AI systems, data-driven applications, analytical platforms and intelligent computing technologies.

Bachelor Program in Artificial Intelligence and Data Science Engineering Syllabus

First Year

1. Engineering Mathematics I
2. Engineering Physics
3. Engineering Chemistry
4. Programming Fundamentals
5. Computer Fundamentals & Digital Systems
6. Engineering Drawing
7. Environmental Studies

Second Year

1. Engineering Mathematics II
2. Data Structures & Algorithms
3. Object-Oriented Programming
4. Database Management Systems
5. Probability & Statistics for Data Science
6. Computer Organization & Architecture
7. Operating Systems

Third Year

1. Artificial Intelligence
2. Machine Learning
3. Data Mining & Warehousing
4. Data Analytics
5. Big Data Technologies
6. Cloud Computing
7. Computer Networks

Fourth Year

1. Deep Learning
2. Natural Language Processing
3. Computer Vision
4. Data Visualization & Business Intelligence
5. MLOps & AI Deployment Concepts
6. AI Ethics, Governance & Responsible AI
7. Research Methodology in Artificial Intelligence & Data Science

The syllabus follows the applicable theoretical academic structure and may be updated according to academic requirements.

Major Artificial Intelligence & Data Science Learning Areas

Artificial Intelligence

Develop theoretical understanding of intelligent systems, search methods, reasoning, decision-making and core concepts used in AI-based applications.

Machine Learning

Study supervised, unsupervised and other machine-learning concepts used to identify patterns, analyze data and support predictive systems.

Data Science & Analytics

Build understanding of data collection, preparation, analysis, interpretation and the use of data for structured decision-making.

Big Data & Cloud Computing

Study theoretical concepts related to large-scale data processing, distributed systems, cloud platforms and modern data infrastructure.

Deep Learning

Understand neural networks and advanced learning concepts used in modern AI applications.

Natural Language Processing

Develop theoretical knowledge of techniques used by computing systems to process, analyze and understand human language.

Computer Vision

Study concepts used to enable computing systems to interpret and analyze visual information.

Data Visualization & Business Intelligence

Understand how data can be organized, interpreted and presented to support reporting and business decision-making.

Responsible AI & Governance

Study theoretical principles related to fairness, transparency, privacy, accountability and responsible use of Artificial Intelligence.

100% Theoretical Learning Through Digital E-Books

The Bachelor Program in Artificial Intelligence and Data Science Engineering follows a 100% theoretical learning model structured for experienced working professionals.

Applicable study material is provided through digital e-books, allowing students to manage theoretical study around job schedules, projects, shifts and professional responsibilities.

The learning structure includes theoretical study, flexible self-study, applicable assignments, examinations and academic guidance.

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

Continue your existing employment while managing theoretical study according to your available time.

Continue Working While Studying

Professionals working in technology and data-related roles may already be managing full-time employment, project deadlines, technical responsibilities, family commitments and regular income.

Leaving employment only to attend regular daily college may interrupt:

• Professional experience
• Regular income
• Ongoing projects
• Career continuity
• Family responsibilities
• Workplace responsibilities

Regular campus study may also involve fixed schedules, daily travel, relocation and additional living expenses.

The need is to continue learning without unnecessarily putting years of professional experience, income and existing responsibilities on hold.

KSIMT® helps eligible working professionals manage both continued employment and structured theoretical learning.

Continue Working. Continue Learning. Build on the Experience You Already Have.

AI & Data Science Engineering for Working Professionals in India & Gulf Countries

Eligible technology and data professionals working across India and international locations can explore the program remotely.

The program may be suitable for professionals working in the UAE, Saudi Arabia, Kuwait, Qatar, Oman, Bahrain and other international locations, particularly those involved in IT operations, software, analytics, data systems, technical services, automation and technology projects.

Eligible overseas professionals can access applicable learning material and student support remotely while continuing their existing employment.

Bachelor Program Fee

Total Bachelor Program Fee: INR 65,500/-

The applicable program fee includes:

• Admission Fee
• Digital E-Books
• Examination Fee
• Student ID
• Applicable Taxes

Payment Options

One-Time Payment | 3-Month EMI | 6-Month EMI

Flexible payment options help working professionals plan education expenses alongside regular income and other financial responsibilities.

Payments should be made only through authorised KSIMT® payment channels.

Admission Journey

Enquiry - Eligibility Review - Document Review - Admission Confirmation - Student Login - Digital ID Card - Digital E-Books - Academic Information - Examination - Examination Result - Verification - Academic Documents

The admission process gives working professionals a clear journey from initial eligibility review through applicable program completion and academic documentation.

Examination & Assignment Process

The Bachelor Program in Artificial Intelligence and Data Science Engineering follows a theoretical examination and assignment-based academic assessment process.

Students receive applicable information regarding:

• Examination schedules
• Theory-based question papers
• Assignment requirements
• Subject-wise instructions
• Submission procedures
• Applicable deadlines

Applicable examination answers or assignments are submitted according to instructions communicated by KSIMT®.

After evaluation, the Examination Result is processed according to the applicable examination cycle.

Student Support & Academic Services

KSIMT® provides applicable academic and administrative support throughout different stages of the student journey.

Services may include:

• Admission Guidance
• Eligibility Review
• Documentation Support
• Digital E-Books
• Student Login
• Digital Student ID Card
• Examination Guidance
• Examination Result
• Online Result / Verification
• Transcript
• Verification Letter
• Migration
• Consolidated Marksheet
• Medium of Instruction
• Character Certificate
• Provisional Documentation
• Applicable Apostille & Embassy Attestation Support

KSIMT® support extends from admission and study material to examination, result verification and applicable academic documentation.

Why Working Professionals Explore KSIMT®

Experienced technology professionals need an education model that can realistically fit around employment, technical responsibilities, available time and financial commitments.

KSIMT® focuses on these practical requirements through:

• Programs structured for experienced working professionals
• Relevant work-experience based admission criteria
• Distance, online, correspondence and work-integrated learning support
• Flexible theoretical learning
• Digital e-books
• No regular daily classroom attendance
• Ability to continue existing employment
• Modern engineering specialization options
• Examination and assignment support
• Online Examination Result / Verification
• Academic documentation services
• Flexible payment options
• India and international accessibility

You have already invested years in building practical technology experience. KSIMT® provides eligible working professionals with a structured way to strengthen the theoretical side of that experience without unnecessarily putting their existing career on hold.

KSIMT® is ISO Certified and operates under the guidelines set by the Government of Delhi and Government of India.

Frequently Asked Questions

Who can apply for the Bachelor Program in Artificial Intelligence and Data Science Engineering?

Candidates should have the applicable previous qualification and minimum 3 years of relevant professional experience in the same or related field.

Can freshers apply?

No. Freshers are not eligible. The program is structured for experienced working professionals.

How much work experience is required?

A minimum of 3 years of relevant professional experience in the same or related field is required.

What is the program duration?

Regular Entry: 4 Years
Eligible Lateral Entry: 3 Years

Who can apply for Regular Entry?

Candidates with 12th PCM or applicable equivalent qualification, together with the required relevant work experience, may apply subject to eligibility review.

Who may qualify for Lateral Entry?

Candidates with an applicable 3-Year Engineering Diploma in the same or related field, together with the required relevant work experience, may be considered for Lateral Entry.

Can I continue my job while studying?

Yes. The program is structured to help eligible working professionals manage theoretical learning alongside their existing employment.

Is this suitable for professionals searching for distance, online or work-integrated engineering?

Yes. KSIMT® provides a flexible theoretical model designed for experienced professionals searching for distance engineering, online engineering, correspondence engineering and work-integrated engineering learning while continuing employment.

Is regular classroom or laboratory attendance required?

No. The program follows a 100% theoretical learning model and does not require regular daily classroom or laboratory attendance.

How is study material provided?

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

What major subjects are covered?

Major areas include Artificial Intelligence, Machine Learning, Data Science, Data Analytics, Deep Learning, Natural Language Processing, Computer Vision, Big Data, Cloud Computing and Data Visualization.

What is the total Bachelor Program Fee?

The total Bachelor Program Fee is INR 65,500/-, including applicable admission fee, digital e-books, examination fee, Student ID and taxes according to program terms.

Are EMI options available?

Yes. Applicable 3-month and 6-month EMI options are available according to admission terms.

Can Gulf-based working professionals apply?

Yes. Eligible working professionals from UAE, Saudi Arabia, Kuwait, Qatar, Oman, Bahrain and other international locations may enquire remotely, subject to applicable admission eligibility.

Can Examination Results be verified online?

Yes. KSIMT® provides an applicable Online Examination Result / Verification facility for student records.

Bachelor Program in Artificial Intelligence and Data Science Engineering – Work + Study = Success

Professional experience in software, data and technology takes years to build. The KSIMT® Bachelor Program provides eligible experienced professionals with a flexible theoretical learning pathway to strengthen their Artificial Intelligence and Data Science Engineering knowledge while continuing their existing careers.

Minimum 3 Years Relevant Work Experience | 100% Theoretical Learning | Digital E-Books

KSIMT® | Work + Study = Success

Course Offered By : KSIMT under autonomous mode through distance education