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Master Program of Computer Applications (Data Science & Big Data Analytics) for Working Professionals
Khatu Shyam Institute of Management & Technology (KSIMT®) offers the Master Program of Computer Applications in Data Science & Big Data Analytics for experienced working professionals who want to strengthen advanced theoretical knowledge of data, analytics, business intelligence and big-data concepts while continuing their existing employment.
The program focuses on data science fundamentals, statistical thinking, data management, big-data architecture, predictive analytics, business intelligence, data visualisation concepts, artificial intelligence for analytics, data governance and data-driven decision-making.
Designed for Experienced Working Professionals
Minimum 3 Years of Relevant Work Experience
Program Duration: 2 Years | 16 Theoretical Subjects
100% Theoretical Learning | Digital E-Books | No Regular Classroom or Computer-Lab 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 program with 16 theoretical subjects
- 100% theoretical learning model
- Digital e-books
- Flexible learning alongside employment
- No regular daily classroom attendance
- No regular coding or computer-lab attendance
- Data Science & Big Data Analytics specialisation
- Examination and assignment support
- Online Examination Result / Verification
- Academic and documentation support
Working professionals often search for distance data science, online data science, correspondence computer applications, distance learning IT and work-integrated data analytics programs because regular daily classes may not fit around full-time jobs, project deadlines, shift duties, business responsibilities or overseas employment.
Experienced IT and data professionals may already be handling reporting, databases, analytics, business intelligence or digital systems but may find it difficult to leave employment for a fixed classroom schedule.
The real challenge is not the willingness to learn advanced data concepts. It is finding a learning structure that fits around an established professional career.
KSIMT® provides a flexible theoretical learning model through digital e-books and remote academic support, helping eligible working professionals continue advanced learning while remaining employed.
The program is primarily designed for experienced professionals working in IT, data, analytics, information systems, business intelligence or related digital environments.
It may be suitable for professionals involved in:
- Data Analysis
- Business Intelligence
- Reporting & MIS
- Database Operations
- Information Technology
- Data Management
- Digital Transformation
- Business Analytics
- IT Operations
- Information Systems
- Data-Driven Business Planning
- Analytics Project Coordination
- Technology Consulting
- Management Information Systems
Data analysts, IT professionals, MIS professionals, business analysts, technology consultants, project coordinators and other experienced professionals may apply according to their previous qualification and relevant professional experience.
Strengthen advanced Data Science and Big Data Analytics knowledge around the professional experience you have already developed through work.
Applicants should have an applicable Bachelor-level qualification along with minimum 3 years of relevant professional experience in IT, computer applications, data, analytics, business intelligence or a related field.
Freshers are not eligible under the working-professional model.
Educational Qualification: Applicable Bachelor-level qualification in a relevant or related field
Relevant Work Experience: Minimum 3 Years
Program Duration: 2 Years
Total Subjects: 16
Admission is considered on the basis of previous qualification, relevant professional experience and applicable documents.
The candidates academic background and relevant professional experience are reviewed before admission.
The Master Program of Computer Applications in Data Science & Big Data Analytics develops advanced theoretical understanding of data-driven technologies, analytics systems and business decision-making.
Key Study Areas:
Data Science Foundations • Statistics for Data Analytics • Database Systems • Data Warehousing • Big Data Architecture • Business Intelligence • Predictive Analytics • Data Visualisation • Machine Learning Concepts • Artificial Intelligence for Analytics • Cloud-Based Data Systems • Data Governance • Data Security • Decision Analytics • Analytics Strategy • Research Methodology
These study areas help experienced professionals understand how data is organised, analysed, interpreted and used to support business, technology and strategic decision-making.
- Foundations of Data Science
- Statistics & Probability for Data Analytics
- Advanced Database Management Systems
- Data Warehousing & Data Mining Concepts
- Business Intelligence & Analytics
- Big Data Architecture & Ecosystems
- Data Visualisation & Information Presentation
- Research Methodology for Data Science
- Predictive Analytics & Forecasting
- Machine Learning Concepts for Data Analytics
- Artificial Intelligence for Data-Driven Decision Making
- Cloud Computing for Big Data Systems
- Data Governance, Privacy & Security
- Advanced Business Analytics & Decision Science
- Big Data Strategy & Digital Transformation
- Data Science Project & Analytics Management
The program includes 16 theoretical subjects across two academic years, with eight subjects in each year.
Develop theoretical understanding of data science concepts, data-driven thinking, analytical processes and the role of data in modern organisations.
Study statistical reasoning, probability, forecasting and predictive concepts used to understand patterns and support future-oriented decision-making.
Build theoretical understanding of databases, structured information, data storage, data warehousing and large-scale information management.
Study big-data ecosystems, distributed data concepts, data architecture and theoretical frameworks used to manage large volumes of information.
Understand how data, reporting and analytical information support management decisions, performance monitoring and business strategy.
Develop theoretical understanding of AI and machine-learning principles and their role in analytics, pattern recognition and data-driven systems.
Study data quality, governance, privacy, responsible information management and security concepts associated with modern data environments.
Understand how organisations use analytics, data and digital technologies to improve operations, planning and strategic decision-making.
The Master Program of Computer Applications in Data Science & Big Data Analytics 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 learning around jobs, projects, shifts and professional responsibilities.
The program focuses on conceptual understanding and theoretical application rather than regular programming labs or software-tool based practical sessions.
No regular daily classroom, coding laboratory or data-processing laboratory attendance is required under the theoretical learning model.
Continue your existing employment while developing advanced Data Science and Big Data Analytics knowledge.
IT and analytics professionals may already be managing project deadlines, reporting responsibilities, technology operations, client requirements, regular income and family 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
- Travel or 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 IT, data and analytics 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 IT, analytics, MIS, database operations, business intelligence, digital transformation and technology management.
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.
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 of Computer Applications in Data Science & Big Data Analytics 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 instructions communicated by KSIMT®.
After evaluation, the Examination Result is processed according to the applicable academic 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 IT and data professionals need a learning model that can realistically fit around employment, technology responsibilities, 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
- No regular coding or computer-lab dependency
- Ability to continue existing employment
- 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 IT, data or analytics experience. KSIMT® provides eligible working professionals with a structured way to strengthen advanced theoretical 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 and minimum 3 years of relevant professional experience in IT, data, analytics or a related field.
No. Freshers are not eligible under the working-professional model.
The program has a 2-year academic structure with 16 theoretical subjects.
No. This is a Computer Applications / IT Program specialising in Data Science & Big Data Analytics, not an Engineering Diploma or Engineering Master Program.
KSIMT® provides flexible Distance, Online, Correspondence and Work-Integrated theoretical learning support for eligible working professionals.
No. The program follows a 100% theoretical learning model and does not require regular coding or computer-laboratory attendance.
Yes. The curriculum includes Big Data Architecture & Ecosystems, Cloud Computing for Big Data Systems and Big Data Strategy & Digital Transformation.
Yes. The program includes theoretical subjects covering Machine Learning Concepts and Artificial Intelligence for Data-Driven Decision Making.
Yes. The program is structured for eligible working professionals who want to manage theoretical learning alongside existing employment.
Applicable theoretical study material is provided through digital e-books.
The total Master Program Fee is INR 70,500/-.
Yes. Applicable One-Time Payment, 3-Month EMI and 6-Month EMI options are available according to admission terms.
Yes. Eligible professionals working in UAE, Saudi Arabia, Kuwait, Qatar, Oman, Bahrain and other international locations may enquire remotely.
Yes. KSIMT® provides an applicable Online Examination Result / Verification facility.
Professional experience in IT, data and analytics takes years to build. The KSIMT® Master Program provides eligible experienced professionals with a flexible theoretical learning pathway to strengthen advanced Data Science and Big Data Analytics knowledge while continuing their existing careers.
Minimum 3 Years Relevant Work Experience | 2 Years | 16 Theoretical Subjects | 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 With 3+ Years of Relevant Work Experience
