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Master Program in Data Science and Analytics Engineering (ME/MTech) – Distance & Online for Working Professionals in India & Overseas | KSIMT
Khatu Shyam Institute of Management & Technology (KSIMT) offers a Master Program in Data Science and Analytics 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 data analysis, analytics systems, and decision-driven engineering knowledge without leaving their job.
KSIMT operates under the guidelines of the Government of Delhi and Government of India.
Why Choose Master Program in Data Science and Analytics 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, software lab, or campus dependency
Suitable for India & overseas professionals
Who Can Apply
Working professionals in IT, analytics, and technology roles
Engineering graduates seeking master-level qualification upgrade
Private sector employees
Government employees (with departmental permission where required)
Professionals in business analytics, operations, planning, and systems
NRIs and overseas professionals
Program Structure – Master Program in Data Science and Analytics Engineering (ME/MTech)
Fundamentals of data science and analytics
Statistical methods and probability theory
Data modeling and data management concepts
Exploratory data analysis and visualization theory
Big data concepts and data engineering overview
Machine learning fundamentals (theoretical)
Predictive analytics and decision support systems
Business analytics and enterprise data applications
Data governance, ethics, and privacy concepts
Analytics for engineering and industrial applications
Research methodology in data science and analytics engineering
Study material provided through digital e-books only
No practical work. No live coding. Fully theoretical.
Key Learning Areas
Data science and analytical thinking fundamentals
Statistical analysis and data modeling theory
Machine learning and predictive analytics concepts
Business and industrial analytics applications
Data governance, ethics, and compliance
Research methods and analytical evaluation
(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 data certifications, software-specific credentials, or mandatory hands-on project experience.
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 Data Science and Analytics 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
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Course Syllabus :
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First Year |
Second Year |
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- 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 |
Course Offered By : KSIMT under autonomous mode through distance education
Request a Callback
Admission Guidance for Working Professionals Work experience preferred (3+ years recommended)
