KL Online MCA in Data Science
Course Overview
KL University’s Online MCA in Data Science is crafted for professionals and graduates who want to specialize in data-driven technologies. With an emphasis on Python, statistics, machine learning, big data, and analytics tools, this program provides you with the technical edge to thrive in data-first careers. The curriculum includes real-world datasets, business case projects, and job-aligned mentoring—delivered 100% online with flexible schedules.
Accreditations
NAAC A Grade
UGC-DEB Approved
NAAC Accredited
UGC Approved
Course Highlights
Designed to deliver industry-relevant skills, academic excellence, and career growth
- UGC-Entitled & NAAC-Accredited: Widely recognized across public/private jobs and higher education.
- Data-Driven Curriculum: Learn Python, R, SQL, ML, Big Data, Tableau, Power BI, and more.
- Project-Based Learning: Hands-on labs and case simulations using real datasets from industry.
- Career-Aligned Training: Built for roles in analytics, business intelligence, ML, and data engineering.
- Career Mentorship via Course Connect: Resume feedback, project portfolio review, interview prep, and curated job leads.
- 100% Online Format: Learn anytime, anywhere—perfect for working professionals and recent graduates.
- Peer Networking: Join a growing community of data learners, mentors, and hiring partners.
- Affordable with EMI Options: Accessible pricing without compromising on academic rigour.
Course Benefits
From data cleaning and modeling to visualization and AI—get hands-on with the tools that drive insights.
Get proficient in Python, SQL, R, Excel, Tableau, Power BI, and ML libraries like scikit-learn and TensorFlow.
Apply your skills in capstone projects based on finance, healthcare, retail, and supply chain data.
Be ready for roles requiring Google Data Analytics, Microsoft Data Associate, or AWS Data certifications.
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 4 semester
INR 16,375 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 65,500
*Inclusive of all taxes
EMI starting at
INR 2,729 / Month
*Terms & Conditions apply
Eligibility
- »
Graduates in any discipline are eligible for this course.
Course Syllabus
Semester 1
Professional Communication Skills
Computer Networks and Communications
Data Structures and Algorithms
Operating Systems Concepts
Database Systems
Semester 2
Machine Learning
Exploratory Data Analysis
Applied Machine Learning
Statistics for Data Science
Graph and Web Analytics
Semester 3
Internship
Web Technologies
Essentials of Research Design
Hadoop and Bigdata
Data Visualization Techniques
Term paper
Semester 4
Disaster Management
Operation Research
Project
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.
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FAQs
What role does Course Connect play during and after the MCA in Data Science?
Course Connect supports you through project guidance, mock interviews, resume building, and personalized placement mentoring tailored for the data industry.
Why apply through Course Connect instead of directly to KL University?
We streamline your application, offer faster onboarding, career coaching, GitHub reviews, and access to exclusive data-focused hiring partners.
Is this program valid for jobs and further education in India and abroad?
Yes. It is UGC-entitled, NAAC-accredited, and accepted for employment and postgraduate opportunities across sectors.
How current is the curriculum in terms of industry expectations?
The syllabus is aligned with real-time market needs—covering everything from data cleaning and SQL to cloud analytics and deep learning.
What kind of placement support is provided after completion?
You get access to job leads, mock technical rounds, GitHub + portfolio reviews, recruiter connects, and career support via both Course Connect and KL University.
Are live datasets and industry cases part of the program?
Yes. You’ll work with real datasets from multiple domains, ensuring practical exposure that reflects on your resume and GitHub profile.
Do I need to be strong in coding to pursue this program?
You don’t need to be an expert—Python and R are taught from scratch. The course is designed to gradually build your comfort with coding and statistics.
What is the process to apply?
Simply apply online via Course Connect, upload your undergraduate documents, and get started—no entrance test required.
Do I need to invest in any high-end hardware or software for this program?
No. A basic laptop with internet access is sufficient. Most tools used are open-source or cloud-based and can be run on standard machines.
What is the admission process and how soon can I start?
Simply apply online via Course Connect, upload your 12th marksheet, and complete verification. Admissions are open now, and you can start learning as soon as your documents are approved.