LPU Online MCA in Data Science
Course Overview
The Online MCA in Data Science from LPU Online is built for aspiring tech leaders and innovators who want to excel in a data-driven world. The program gives you a strong foundation in programming, statistics, big data, machine learning, data engineering, data visualisation, and cloud analytics. With flexible online learning, hands-on projects, and an industry-focused curriculum, you’ll graduate ready for impactful roles in analytics, data science, consulting, and AI.
Accreditations
UGC-DEB Approved
NAAC A+
NAAC Accredited
NAAC A Grade
Course Highlights
Designed to deliver industry-relevant skills, academic excellence, and career growth
- UGC-Recognized, NAAC-Accredited MCA: Widely respected for employment and higher studies.
- Advanced, Industry-Aligned Curriculum: Covers Python, R, statistics, data mining, machine learning, cloud analytics, and more.
- Live Projects & Case Studies: Work on real-world analytics projects, data challenges, and capstone assignments.
- Leadership in Data Science: Develop expertise in managing data-driven teams and digital transformation.
- Placement & Career Support: Personalized resume services, interview training https://courseconnect.in/mockinterview, and job referrals via Course Connect and LP University.
- Flexible, 100% Online Format: Study at your own pace with live/recorded classes and collaborative projects.
- Peer & Alumni Networking: Join a thriving data science community for lifelong growth.
- Affordable Fees & EMI Options: Accessible for students and professionals nationwide.
Course Benefits
Build expertise in data analysis, machine learning, big data, and business intelligence.
Get practical exposure to Python, R, SQL, Tableau, Hadoop, Spark, and cloud platforms.
Massive demand for data scientists and analysts in IT, healthcare, BFSI, e-commerce, startups, and consulting.
Collaborate with faculty, alumni, and industry mentors via webinars, masterclasses, and community projects.
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 37,000 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 1,48,000
*Inclusive of all taxes
EMI starting at
INR 6,167 / Month
*Terms & Conditions apply
Eligibility
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Bachelor's degree (B.E. / B.Tech./ B.Sc / B.Com. / B.A./ B. Voc./ BCA etc.,) with Mathematics* at 10+2 level or Graduation level.
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For candidates having no Computer or Mathematics* background, Bridge course(s) will be applicable as follows:
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No Mathematics background: 01 Mathematics course
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No Computer background: 01 Computer course
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No Mathematics and No Computer background: 01 Mathematics and 01 Computer course
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*Mathematics/ Statistics/ QT/ Business Mathematics
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Eligibility, admission criteria or any other condition mentioned here in or otherwise for admission to any Program is subject to change as prescribed by the university.
Course Syllabus
Semester 1
Software Engineering Practices
Data Warehousing and Data Mining
Data Communication and Networking
Fundamentals of Computer and C Programming
Linux and Shell Scripting
Elementary Mathematics
Object Oriented Programming using C++
Semester 2
Programming in Java
Probability and Statistics for Data Science
Advanced Data Visualization
Cloud Computing
Mathematical Foundation for Computer Science
Skill Enhancement Course II
Advanced Data Structures
Semester 3
Programming in Python
Probability and Statistics
Data Mining
Generic Elective I
Elective II
Data Science Tool Box
Semester 4
Skill Enhancement Course IV
Advance Data Visualization
Electives III
Machine Learning
Project Work
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 LP University
FAQs
How does Course Connect guarantee placement support for the MCA in Data Science?
Comprehensive career services include resume writing, interview prep, mentorship, and job referrals to leading companies.
Will I work on real-world data science projects?
Yes. The curriculum is project-based, featuring live industry assignments, analytics hackathons, and a major capstone project.
Is the program suitable for non-programmers or non-engineers?
Foundational modules are included, but a basic understanding of programming is recommended for the best experience.
Does the program cover big data, AI, and cloud analytics?
Yes. You’ll gain hands-on skills in big data, machine learning, AI, and deploying models in the cloud.
How flexible is the learning model?
The program is 100% online, giving you the freedom to attend live classes for real-time interaction or watch recorded sessions whenever it fits your schedule. This flexibility makes it easy to balance your MBA with work and personal commitments.
Is LP University’s Online MCA in Data Science recognized by employers?
Yes. The degree is UGC-recognized, NAAC-accredited, and respected by leading analytics recruiters.
What support do I receive during my MCA?
24/7 academic and tech support, personalized career mentoring, and a vibrant data science peer network.
Who should pursue this MCA?
Aspiring data scientists, analytics professionals, engineers, and anyone passionate about data-driven innovation.
What’s the application process?
Simple online application—upload your graduation documents, no entrance exam required. Admissions are now open.
Are there opportunities for networking and placements?
Yes. Regular webinars, analytics workshops, and access to top recruiters ensure robust networking and placements.