Kurukshetra Online Diploma in Data Analytics
Course Overview
Earn a UGC-approved Diploma in Data Analytics from Kurukshetra University. This course runs fully online.
Master data visualization and statistical analysis. Decision-support tools build core skills.
Build strong data-interpretation skills. Projects apply these skills throughout.
Unlock roles like Data Analyst. Analytics firms value this diploma.
Accreditations
UGC-approved diploma. NAAC accredited Kurukshetra University. Valid for entry-level analytics and BI roles.
NAAC A++
DEB
NIRF
AICTE
Course Highlights
Designed to deliver industry-relevant skills, academic excellence, and career growth
- Kurukshetra holds NAAC A+ accreditation. UGC backs this diploma fully.
- KUK ranks in NIRF's top 150 band. This ranking adds credibility.
- This diploma sits among KUK's tech group. AI & ML and Cyber Security round out the choices.
- Build strong analytics basics throughout. Labs apply concepts to real datasets.
- Apply with any bachelor's degree. Apply now at kuk.ac.in.
- Confirm the exact fee with admissions, since a clear published figure wasn't available.
Course Benefits
Earn a NAAC A+ accredited Diploma in Data Analytics from Kurukshetra. This diploma strengthens analytics careers.
Build skills in data visualization. These skills power Data Analyst careers.
Complete this diploma online while working. Flexible delivery fits any schedule.
Access KUK's mentorship. This diploma preps you for a tech-driven world.
Course Fees
The fee structure for this Kurukshetra Online Diploma in Data Analytics is designed to be affordable and flexible for both freshers and working professionals
Total 6 semester
INR 5,475 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 32,848
*Inclusive of all taxes
EMI starting at
INR 912 / Month
*Terms & Conditions apply
Eligibility
- »
10+2 from a recognized board in any stream
- »
Basic spreadsheet/statistics familiarity recommended
- »
Admission is merit-based; no separate entrance exam
Who Can Apply ?
• Graduates and class 12 pass-outs with 45% aggregate in Science, Commerce, or any stream from a recognised board are eligible to apply.
• Early-career reporting executives and data entry professionals with 0–3 years of experience should check the Kurukshetra University distance education diploma in data analytics — builds formal analytics credentials fast.
• Apply today — no entrance test required. Review the Kurukshetra online diploma in data analytics eligibility criteria and enroll in 10 minutes.
Course Syllabus
Semester 1
DAN101
Introduction to Data Analytics
DAN102
Python for Analytics
DAN103
Statistics and Probability
DAN104
Data Wrangling and Preprocessing
DAN105
SQL and Database Fundamentals
Semester 2
DAN201
Exploratory Data Analysis and Visualization
DAN202
Inferential Statistics and Hypothesis Testing
DAN203
Data Mining and Feature Engineering
DAN204
Time Series Analytics
DAN205
Mini Project I
Semester 3
DAN301
Predictive Modelling: Regression
DAN302
Predictive Modelling: Classification
DAN303
Clustering and Segmentation
DAN304
Machine Learning for Analytics
DAN305
Mini Project II
Semester 4
DAN401
Data Visualization and BI Tools
DAN402
Storytelling with Data
DAN403
A/B Testing and Experimentation
DAN404
Data Ethics and Governance
DAN405
Elective Seminar
Semester 5
DAN501
Big Data Concepts and Tools
DAN502
ETL Pipelines and Data Warehousing
DAN503
Cloud Analytics Overview
DAN504
Domain Use-Cases (Retail/Fin/Health)
DAN505
Capstone Proposal
Semester 6
DAN601
Capstone Analytics Project
DAN602
Dashboarding Masterclass
DAN603
Viva-Voce/Comprehensive Exam
DAN604
Internship/Practicum (Optional)
DAN605
Career Workshop and Portfolio Review
Job Roles
Connect with our expert counsellors to get personalized guidance tailored to your unique career journey. Whether you're exploring new opportunities or planning your next big step, our team is here to support you at every stage with clarity and confidence.
Get one-on-one guidance based on your academic background and experience
Discover programs aligned with your career goals and future aspirations
Receive insights on industry trends, job roles, and growth opportunities
| Job Roles | Average Salary | Key Skills | Age Group |
|---|---|---|---|
| Junior Data Analyst, Reporting Executive, Dashboard Trainee | ₹6 LPA | Python, Pandas, Basic ML | TCS, Capgemini, Mindtree | 22 |
| ML Support Associate, Data Science Associate, AI Operations Analyst | ₹9 LPA | Scikit-learn, Data Preprocessing, Model Tuning | 25 |
Top Recruiters
Top recruiters for this course include Google, Amazon, Accenture, and Deloitte. Companies like Infosys and Tata Consultancy Services provide strong opportunities in tech and management roles.
Explore Other Specializations from Kurukshetra University
FAQs
What is the weekly time commitment for the Kurukshetra University Online Diploma in Data Analytics?
Students enrolled in the Kurukshetra University Online Diploma in Data Analytics should plan to dedicate about 8–10 hours per week, which includes attending online sessions, completing assignments, and hands-on practice.
Is the syllabus of the Kurukshetra University Online Diploma in Data Analytics industry-aligned?
Yes. The syllabus of the Kurukshetra University Online Diploma in Data Analytics is industry-aligned, incorporating current analytical techniques, data visualization methods, and governance practices to ensure practical, job-relevant learning.
Can non-technical learners join for this program?
Yes. The programme starts from fundamentals with structured progression.
Is the certificate from the Kurukshetra University Online Diploma in Data Analytics recognized?
Yes. Upon completion, you receive a recognized diploma certificate from Kurukshetra University, a UGC-entitled and NAAC A++ accredited institution, ensuring national validity for jobs and further studies.
Which Business Intelligence (BI) tools are used in the Kurukshetra University Online Diploma in Data Analytics?
At Kurukshetra University, students in the Online Diploma in Data Analytics learn key BI and dashboarding concepts. The specific tools and platforms may vary by cohort but typically include widely used data visualization and reporting tools.