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KL Online MBA in Data Science

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Course Overview

KL University’s Online MBA in Data Science is for anyone—whether you’re just starting out or already working—who wants to become a leader in the world of data. This course gives you the best of both business and data science: you’ll learn management basics plus the real data skills every company wants, including AI and analytics. By the end, you’ll know how to turn numbers into smart business decisions, build models that predict trends, and use data for growth in any industry. Thanks to open distance education, you can study flexibly, online, and move your career forward at your own speed

Accreditations

NIRF Ranking
NIRF Ranking
NAAC A Grade
NAAC A Grade
UGC-DEB Approved
UGC-DEB Approved
NAAC Accredited
NAAC Accredited
UGC Approved
UGC Approved

Course Highlights

Designed to deliver industry-relevant skills, academic excellence, and career growth

  • Globally Recognised & Trusted: This MBA is UGC-recognised, NAAC-accredited, and accepted for jobs or higher studies anywhere.
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  • Future-Focused Curriculum: Covers statistics, machine learning, data visualization, big data, cloud analytics, and business strategy.
  • Project-Based, Hands-On Learning: Work on live data projects, case studies, and a capstone dissertation.
  • Business & Tech Leadership: Develop the rare combination of management insight and technical data skills employers want.
  • Placement & Career Support: Personalized resume building, mock interviews, and job referrals through Course Connect and KL University.
  • Study Anywhere, Anytime: With open distance education, join live online classes or catch up with recordings from wherever you are
  • Build Your Network: Connect and share ideas with classmates, alumni, and industry professionals from all over the tech world
  • Affordable Fees & EMI Options: Designed for accessibility and value.

Course Benefits

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Gain hands-on skills in Python, R, SQL, Tableau, and cloud-based analytics platforms.
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Work on practical data-driven projects to improve decision-making and deliver measurable business impact.
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High demand for data-savvy managers across IT, finance, healthcare, retail, e-commerce, and consulting.
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End-to-end services: resume workshops, interview prep, mentorship, and recruiter connections.

Course Fees

The fee structure for this online MBA in Finance and Accounting is designed to be affordable and flexible for both freshers and working professionals

Total 2 semester

INR 42,500 / Semester

*Fees may vary kindly check the actual fee with our counsellor

Full course fee

INR 85,000

*Inclusive of all taxes

EMI starting at

INR 3,542 / Month

*Terms & Conditions apply

Eligibility

  • »

    Graduates in any discipline are eligible for this course.

Official certificate image of KL University Online MBA in Data Science with clean borders, seal, and structured text design.

Course Syllabus

Semester 1

Essentials of Management
Quantitative Methods
Business Economics
Financial & Management Accounting
Business Research Methodology
Introduction to Python Programming

Semester 2

Database Management Systems
Management Science
Human Resource Management
Data Visualization using Tableau
Marketing Management
Excel for Data Science

Semester 3

Advanced Business Analytics with R & Python
Econometrics for Business Applications
Machine Learning using Python
Advanced Excel for Data Science
Marketing Analytics I
Mini Project

Semester 4

Big Data Analysis
Deep Learning using Python
Advanced SQL for Data Science
Natural Language Processing
Financial Analytics II
Management Research

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.

infosys
wipro
tcs
cognizant
accenture
capgemini
deloitte
amazon
ibm

Explore Other Specializations from KL University

FAQs

How does Course Connect support placements for the MBA in Data Science?

Comprehensive career support: CV building, interview prep, mentorship, and direct job referrals.

Are hands-on projects and internships included?

Yes, including capstone data projects, case competitions, and optional internships.

Do I need a tech background for this MBA?

No, the course starts from the basics and is open to graduates from any field.

Which analytics tools and languages will I learn?

Python, R, SQL, Tableau, Power BI, and exposure to cloud/data platforms.

How flexible is the course for working professionals?

Fully online—learn from anywhere, with live and recorded sessions.

Is this MBA recognized for jobs and further study?

Yes it’s recognised everywhere and meets all UGC and NAAC standards.

What ongoing support do I get?

24/7 academic, technical, and peer support. Frequent webinars and hackathons.

Who should apply for this MBA?

Professionals aiming for data leadership, analysts, tech entrepreneurs, or anyone interested in data-driven business.

What is the application process?

Simple online application—upload your graduation documents. No entrance exam required.

Are there opportunities for networking and placement?

Yes, including alumni events, recruiter connects, and career fairs.