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Master Program in Data Science & Analytics Engineering for Working Professionals
Khatu Shyam Institute of Management & Technology (KSIMT®) offers the Master Program in Data Science & Analytics Engineering for experienced working professionals who want to strengthen their advanced theoretical knowledge of data science, analytics, machine learning, big data and decision-driven systems while continuing their existing employment.
The program covers statistical analysis, data modelling, machine learning, big data technologies, data visualisation, predictive analytics, business intelligence, cloud-based analytics, data security, ethics and research methodology.
Designed for Experienced Working Professionals
Minimum 3 Years of Relevant Work Experience
Program Duration: 2 Years
16 Advanced Theoretical Subjects
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
- Designed for experienced working professionals
- Minimum 3 years of relevant work experience
- 2-year advanced theoretical program
- 16 Data Science & Analytics subjects
- 100% theoretical learning model
- Digital e-books
- Flexible learning alongside employment
- No regular daily classroom attendance
- No regular coding or software laboratory attendance
- Examination and assignment support
- Online Examination Result / Verification
- Academic and documentation support
Experienced professionals often search for Distance Engineering, Online Engineering, Correspondence Engineering, Distance Learning Engineering, Distance Education Engineering and Work-Integrated Engineering because returning to regular daily college may not fit around full-time employment, projects, shift duties, business responsibilities or overseas assignments.
Professionals working in IT, analytics, operations, technology or engineering may already have practical exposure to data, systems and decision-making but still need deeper structured theoretical knowledge.
The real challenge is not the willingness to learn. It is finding an advanced engineering learning structure that fits around an established career and existing responsibilities.
KSIMT® provides a flexible theoretical learning model through digital e-books and remote academic support, helping eligible professionals continue advanced learning while remaining employed.
The program is primarily designed for experienced professionals working in data, analytics, IT, technology, engineering, business intelligence, operations or related technical environments.
It may be suitable for professionals involved in:
- Data Analysis
- Business Analytics
- Data Science
- Information Technology
- Business Intelligence
- Operations Analytics
- Reporting & MIS
- Technology Projects
- Data Management
- Systems Analysis
- Engineering Analytics
- Planning & Decision Support
- Digital Transformation
- Technical Operations
Data analysts, technology professionals, engineers, business analysts, MIS professionals, technical managers and other experienced professionals may apply according to their previous qualification, relevant work experience and applicable eligibility requirements.
Build stronger theoretical Data Science and Analytics knowledge around the professional experience you have already developed through work.
Applicants must have an applicable Bachelor-level qualification or equivalent background along with a minimum of 3 years of relevant professional experience in the same or related field.
Freshers are not eligible.
Educational Qualification: Applicable Bachelor Program / Bachelor-level qualification or equivalent in Engineering, Technology, Computer Science, IT, Data, Analytics or a relevant field
Relevant Work Experience: Minimum 3 Years
Program Duration: 2 Years
Admission is considered on the basis of the candidates previous qualification, relevant professional experience and applicable documents.
Your academic background and relevant industry experience are reviewed before admission.
Government employees should obtain the applicable departmental NOC before admission.
The Master Program in Data Science & Analytics Engineering develops advanced theoretical understanding of data-driven systems, analytical methods and modern decision-support technologies.
Key Study Areas:
Data Science Fundamentals • Mathematics for Data Science • Statistical Analysis • Data Structures & Algorithms • Data Mining • Machine Learning • Advanced Machine Learning • Deep Learning • Natural Language Processing • Big Data Technologies • Data Visualisation • Business Intelligence • Cloud Analytics • Predictive Analytics • Time Series Forecasting • Data Security • Data Ethics • Research Methodology
These study areas help experienced professionals understand the theoretical principles behind modern data systems, machine learning, analytics, business intelligence and data-driven decision-making.
- Introduction to Data Science
- Mathematics for Data Science
- Data Structures and Algorithms for Analytics
- Data Mining Techniques
- Statistical Analysis for Data Science
- Machine Learning Algorithms
- Big Data Technologies
- Data Visualization and Interpretation
- Advanced Machine Learning
- Deep Learning and Neural Networks
- Natural Language Processing (NLP)
- Data Analytics for Business Intelligence
- Big Data Analytics and Cloud Computing
- Predictive Analytics and Time Series Forecasting
- Data Security and Ethics in Analytics
- Research Methodology in Data Science and Analytics
The program includes 16 advanced theoretical subjects across two academic years. Khatu Shyam Institute
Develop advanced theoretical understanding of statistical methods, probability, analytical reasoning and the modelling of data for structured decision-making.
Study theoretical concepts behind supervised learning, unsupervised learning, predictive modelling and machine-learning algorithms.
Build understanding of advanced learning models, neural-network concepts and deep-learning architectures used in modern data systems.
Study theoretical approaches to extracting patterns, analysing large datasets and understanding modern big-data environments.
Develop understanding of how analytical information can be organised, interpreted and communicated through meaningful data representations.
Study the use of data for forecasting, planning, performance analysis and decision-support systems.
Understand theoretical concepts behind language-based data processing, text analysis and intelligent information systems.
Develop awareness of privacy, responsible data use, security, governance and ethical considerations associated with modern analytics.
The Master Program in Data Science & Analytics 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 advanced 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, coding laboratory or software laboratory attendance is required under the theoretical learning model.
Continue your existing employment while strengthening advanced Data Science and Analytics knowledge according to your available time.
Data, IT and analytics professionals may already be managing projects, reporting cycles, technical operations, deadlines, regular income, family responsibilities and career commitments.
For an experienced professional, leaving employment only to attend regular daily classes may not be practical.
Regular classroom study may also involve:
- Income interruption
- Fixed daily schedules
- Daily travel
- Relocation
- Accommodation expenses
- Time away from active projects
- Disruption of professional continuity
The need is to continue advanced 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.
Eligible data, analytics, IT and technology professionals working across India and international locations can explore the program remotely.
The program may be relevant for professionals working in the UAE, Saudi Arabia, Kuwait, Qatar, Oman, Bahrain and other international locations, particularly those involved in analytics, information technology, business intelligence, technical operations, digital transformation and data-driven projects.
Eligible overseas professionals can access applicable learning material and student support remotely while continuing their existing employment.
Total Master Program Fee: INR 70,500/-
The applicable program fee includes:
- Admission Fee
- Digital E-Books
- Examination Fee
- Student ID
- Applicable Taxes
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. Khatu Shyam Institute
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.
The Master Program in Data Science & Analytics 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 the examination instructions communicated by KSIMT®.
After evaluation, the Examination Result is processed according to the applicable examination cycle.
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.
Experienced professionals need an education model that can realistically fit around employment, projects, industry experience, available time and financial commitments.
KSIMT® focuses on these practical requirements through:
- Programs structured for experienced working professionals
- Relevant work-experience based eligibility
- Distance, Online, Correspondence and Work-Integrated learning support
- 100% theoretical learning
- Digital e-books
- No regular daily classroom attendance
- Ability to continue existing employment
- Advanced Data Science & Analytics curriculum
- 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 professional experience. KSIMT® provides eligible working professionals with a structured way to strengthen advanced theoretical Data Science and Analytics knowledge 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.
Candidates should have an applicable Bachelor-level qualification or equivalent and minimum 3 years of relevant professional experience in the same or related field.
No. Freshers are not eligible. The program is designed for experienced working professionals.
The Master Program in Data Science & Analytics Engineering has a 2-year theoretical academic structure.
KSIMT® provides flexible Distance, Online, Correspondence and Work-Integrated theoretical learning support designed for eligible experienced working professionals.
Yes. The program is structured to help eligible professionals manage advanced theoretical learning alongside their existing employment.
Yes. The syllabus includes Machine Learning Algorithms and Advanced Machine Learning.
Yes. Deep Learning and Neural Networks and Natural Language Processing (NLP) are included in the second-year syllabus.
Yes. The curriculum includes Big Data Technologies and Big Data Analytics and Cloud Computing.
No. The program follows a 100% theoretical learning model and does not require regular daily coding or software laboratory attendance.
Applicable theoretical study material is provided through digital e-books.
The program includes 16 advanced theoretical subjects across two academic years. Khatu Shyam Institute
The total Master Program Fee is INR 70,500/-, including applicable admission fee, digital e-books, examination fee, Student ID and taxes according to program terms.
Yes. Applicable 3-month and 6-month EMI options are available according to admission terms.
Yes. Eligible professionals in UAE, Saudi Arabia, Kuwait, Qatar, Oman, Bahrain and other international locations may enquire remotely, subject to applicable admission eligibility.
Yes. KSIMT® provides an applicable Online Examination Result / Verification facility for student records.
Professional experience in data, analytics, IT and technology takes years to build. The KSIMT® Master Program provides eligible experienced professionals with a flexible theoretical learning pathway to strengthen advanced Data Science and Analytics 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
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Admission Guidance for Working Professionals For Professionals With 3+ Years of Relevant Work Experience
