Learn data analytics, business intelligence, AI, and more
Industry Relevant Curriculum, On-Job-Learning
70% Practical Based Curriculum
150+ Industry Partners
70% Faculty with Industry Experience
20:1 Student to Faculty Ratio
100% Job Readiness
Admission Open for 2025
Program Overview
The MCA in Data Science program at Medhavi Skills University is designed to build expertise in analytics, machine learning, and big data technologies
As a skills-based university, it focuses on industry-relevant, hands-on education to prepare students for data-driven careers. This program equips learners with a strong foundation in programming, statistics, AI, and cloud computing, enabling them to extract meaningful insights and drive innovation. With the growing demand for skilled data professionals across finance, healthcare, and technology, the MCA in Data Science empowers students with the expertise to excel in the evolving digital landscape.
MSU Advantages
The flexible learning design of this MCA in Data Science program also allows personalized education. This makes MSU an ideal choice for future-ready IT professionals. Explore some of the advantages of studying Data Science at MSU:
Program aligned to NEP 2020
Focus on Outcome Based Education
Industry-Aligned Curriculum
70% Curriculum includes Skill Component
Hands-On Learning
Learn from seasoned professionals
Immersive Industry Exposure through industry visits,
guest lectures, and networking opportunities
Opportunity to ‘Learn and Earn’
In-house Computer Lab with all required software and Wi-fi connection
Engage with industry experts providing invaluable
insights and real-world perspectives
Do-Experience-Learn
Experience hands-on learning in Coding, Software Development, Database Management, AI & Machine Learning, Cybersecurity, and Cloud Computing—where theory meets real-world application
Eligibility Criteria
Graduate : Any Stream (With Mathematics in 12/Graduation)
Academic Framework
A curriculum designed to build core Data Science skills, paired with a clear pathway to diverse global careers
{
"FOUNDATION CORE": {
"courseInsights": [
"English and Communication - Essential Skills",
"English and Communication- Advanced Skills",
"Introduction to Contemporary Social Problems",
"Foundation in Digital Application",
"Quantitative Reasoning",
"Science and World",
"Recent Trends in IT",
"Employability Skills"
]
},
"SKILL DRILL (ELECTIVES)": {
"courseInsights": [
"Creative Writing Skills",
"Trade and Thrive Skills",
"Public Speaking Skills",
"Mobile Filmmaking Skills",
"Health and Social Care Skills",
"Front Office Skills",
"Data Management Skills",
"Fitness & Rehab Skills",
"First Aid Skills",
"Event Management Skills",
"Basic of Clinical Skills",
"Bakery and Patisseries Skills",
"Content Writing and Application Skills",
"Website Development Using WordPress Skills"
]
},
"MAJOR (COMPULSORY)": {
"courseInsights": [
"Introduction to Machine Learning",
"Supervised and Unsupervised Learning",
"Big Data and Analytics",
"Data Visualization and Reporting",
"Introduction to Deep Learning, Neural Networks and TensorFlow",
"Data Science Foundations",
"Foundations of Data Engineering,Data Warehousing and ETL",
"Linear Algebra and Calculus for Data Science",
"Advanced Programming",
"Advanced Database Systems for Data Science",
"Advanced Machine Learning, Reinforcement Learning",
"AI & Ethics",
"Natural Language Processing",
"Independent Projects",
"Data Science and AI for Businesses,Case Studies",
"Professional Communication (Mock Interviews,GD,CV Writing)"
]
},
"INDUSTRY PRACTICE": {
"courseInsights": [
"On-Job-Training",
"Live Projects",
"Industry Visits",
"Certifications",
"Field Study",
"Industry in Campus",
"Industry Talks"
]
},
"CLUB ACTIVITY (ELECTIVES)": {
"courseInsights": [
"Sports Club",
"Culture Club",
"Nature Adventure Club",
"Media Club",
"Literary Club",
"Art and Craft Club",
"NSS Club",
"Coding Club",
"Design Club"
]
}
}
Steps to Follow for Application
Program Specific Outcomes
A post-graduate of MCA in Data Science should be able to :
PSO 1
Process and analyze structured and unstructured data using statistical and machine learning techniques to drive intelligent decision-making.
PSO 2
Develop and optimize AI-based solutions by applying data engineering, deep learning, and automation strategies to solve complex industry problems.
PSO 3
Implement scalable data processing, cloud integration, and model deployment techniques to enhance AI-driven application efficiency and adaptability.
Our Industry Partners
Leading industry partners to provide real world hands-on exposure
Frequently Asked Questions
Find Quick Answers to Your Concerns
An MCA in Data Science is a postgraduate program focusing on advanced computing, data analysis, machine learning, artificial intelligence, big data technologies, and statistical modeling. The curriculum is designed to equip students with the skills needed for careers in data analytics, business intelligence, software development, artificial intelligence, research, and data-driven decision-making across various industries.
After completing an MCA in Data Science, you can explore diverse career opportunities across technology, finance, healthcare and research sectors. Here are some potential job roles, such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Big Data Engineer, and others.
Yes
2 Years
Graduates in Any Stream with Mathematics in 10/12/Graduation.
You can apply through our official website. Visit the Admissions Section and follow the application process. Our admission team is available to guide you through the process.
Call +91 98748 75876 for a detailed admission procedure. You can also refer to the link - https://www.msu.edu.in/admission-process
Yes, Medhavi Skills University (MSU) offers On-the-Job Training (OJT) as part of its Work-Integrated Skill-Based Education programs. We collaborate with a wide range of industry partners across sectors such as BFSI, healthcare, logistics, IT, retail, manufacturing, media and more. Our partner companies provide hands-on training opportunities, ensuring students gain real-world experience while earning their degrees. For specific company associations, please visit our website or contact our admissions team.