+91 70990 92900             director@admissionduniya.com

JOIN YOUR DESIRED COURSE

Eligibility

Passed with min % in PCM for GEN & % for SC/ST/OBC

Duration

2 Year

Master of Computer Applications in Data Science is a specialized postgraduate program that focuses on extracting meaningful insights from large volumes of data using statistics, programming, machine learning, and artificial intelligence. The course blends core computer application subjects with advanced topics like big data analytics, predictive modeling, data visualization, and AI-driven decision-making.
This program is ideal for students who want careers in analytics, business intelligence, AI, and data-driven technologies.

 

For Free Guidance Call Now: 7099092900

WhatsApp Support (Instant Assistance): 7099092900

Graduates can explore high-demand roles such as:

  • Data Scientist

  • Data Analyst

  • Machine Learning Engineer

  • Business Intelligence (BI) Analyst

  • Big Data Engineer

  • AI Engineer

  • Data Architect

  • Statistical Analyst

  • Product Analyst

  • Research Analyst

Top Hiring Sectors:

  • IT & Software Companies

  • Banking, Finance & FinTech

  • Healthcare & Bioinformatics

  • E-commerce & Digital Marketing

  • Government & Public Sector Units

  • EdTech, Startups & Research Organizations

 

For Free Guidance Call Now: 7099092900

WhatsApp Support (Instant Assistance): 7099092900

Semester 1:

  • Programming in C / Python

  • Computer Organization & Architecture

  • Discrete Mathematics

  • Database Management Systems

  • Communication Skills

Semester 2:

  • Data Structures & Algorithms

  • Object-Oriented Programming (Java / Python)

  • Operating Systems

  • Software Engineering

  • Probability & Statistics

Semester 3:

  • Introduction to Data Science

  • Data Mining

  • Big Data Analytics

  • Data Warehousing

  • Web Technologies

Semester 4:

  • Machine Learning

  • Data Visualization

  • Artificial Intelligence

  • Cloud Computing for Data Science

  • Minor Project

Semester 5:

  • Deep Learning

  • Natural Language Processing

  • Predictive Analytics

  • Elective Subjects

  • Major Project – Phase 1

Semester 6:

  • Industrial Internship / Training

  • Major Project – Phase 2

  • Seminar & Viva Voce

(Note: Syllabus structure may vary slightly by university.)

  • Entrance Exam Mode:

    • CUET-PG

    • State MCA Entrance Exams

    • University-Level Entrance Tests

  • Direct Admission (Private Universities):

    • Based on graduation performance

    • Personal Interview (if applicable)

  • Application Steps:

    • Online registration on the university portal

    • Upload documents

    • Pay the application fee

    • Counseling & seat allotment

 

For Free Guidance Call Now: 7099092900

WhatsApp Support (Instant Assistance): 7099092900

  • Bachelor’s degree in BCA / B.Sc IT / B.Tech / any relevant graduate discipline

  • Mathematics at 10+2 or Graduation level is mandatory

  • Minimum 50% aggregate marks (45% for reserved categories as per university norms)

  • Total Duration: 2 Years

  • Mode of Study: Full-Time / Regular

  • Divided Into: 4 to 6 Semesters (as per university guidelines)

FAQ

Yes, this course is highly practical with live datasets, coding labs, real-time analytics tools, and industry-based projects.

Yes, since machine learning and AI are core subjects, students are fully eligible for AI Engineer and ML Engineer roles.

Yes, cloud tools like AWS, Azure, and Google Cloud are commonly taught for big data storage and analytics deployment.

Yes, even students from non-IT backgrounds can succeed if they have basic math skills and interest in analytics and coding.

Yes, graduates are eligible for NIC, DRDO, ISRO, PSU IT departments, and statistical officer roles.

Get Free Counselling

whatsapp-icon