MCA in Data Science

Easy EMI

Assured job opportunity

Limited seats available!

Application Closing soon for Jan 2026 Batch

EMI Starts From: ₹5000/-

Live Class:Online

Average Salary:₹10.0LPA

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.

Course Highlights

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.

CourseConnect Benefits

What additional you get from CourseConnect

Mock Interview➔
Resume Building➔
Alumni Network➔
Career Guidance➔

Need to consult an Expert?

Have queries or need guidance? Our experts can help you decide.

Eligibility

»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.
» For candidates having no Computer or Mathematics* background, Bridge course(s) will be applicable as follows:
» No Mathematics background: 01 Mathematics course
» No Computer background: 01 Computer course
» No Mathematics and No Computer background: 01 Mathematics and 01 Computer course
» *Mathematics/ Statistics/ QT/ Business Mathematics
» 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.

Talk to our Career Companion

Course Syllabus

S.No	Credit	Subject
1		Software Engineering Practices
2		Data Warehousing and Data Mining
3		Data Communication and Networking
4		Fundamentals of Computer and C Programming
5		Linux and Shell Scripting
6		Elementary Mathematics
7		Object Oriented Programming using C++

S.No	Credit	Subject
1		Programming in Java
2		Probability and Statistics for Data Science
3		Advanced Data Visualization
4		Cloud Computing
5		Mathematical Foundation for Computer Science
6		Skill Enhancement Course II
7		Advanced Data Structures

Personalized counseling helps you choose the best career fit course.

Only accredited and top ranked university programs are made available here.

Complete support for applications, documents, and all required formalities provided.

Placement training ensures you connect with top recruiters for jobs.

Our students consistently achieve better salaries and rapid career growth.

ProfessionalProfiles

Business Intelligence Analyst

Design dashboards and support strategic decisions

AVG SALARY13.0 LPA

Machine Learning Engineer

Create and deploy ML algorithms and systems

AVG SALARY15.0 LPA

Data Engineer

Build data pipelines and manage big data infrastructure

AVG SALARY14.0 LPA

Data Scientist

Build predictive models, analyze large datasets, and drive AI solutions

AVG SALARY15.0 LPA

Data Analyst

Interpret complex data and provide actionable insights

AVG SALARY12.0 LPA

TopRecruiters

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.