MCA in Data Analytics – Build Expertise in Analytics, Insights, and Decision Intelligence

Earn your MCA in Data Analytics degree and gain mastery in statistics, machine learning, data visualization, big data tools, and analytical architectures.
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Why Choose This Program
  • Industry-focused curriculum designed for modern data analytics needs
  • Learn from data analysts, data scientists, and certified professionals
  • Hands-on labs in Python, ML models, BI tools & big data processing
  • Strong focus on predictive analytics, visualization & data-driven strategy
  • Build analytical, problem-solving & decision intelligence skills
  • Practical training with ML tools, BI dashboards & real analytics simulations
  • Blends core computer science with advanced data analytics applications
  • 100% placement assistance and continuous career support
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Overview of MCA in Data Analytics Program
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Build a Future in Data Analytics and Insight-Driven Decision Making

The MCA in Data Analytics at Teksversity equips learners with deep knowledge in statistical modeling, machine learning, data engineering, visualization, and business analytics frameworks. This masters degree in data analytics prepares professionals to analyze data, build insights, and support high-impact decisions. Through hands-on labs, predictive modeling, and analytics tools, students gain practical skills for interpreting datasets, forecasting outcomes, and driving organizational intelligence.The program is ideal for working professionals seeking flexible learning in data analytics masters online, enabling growth without interrupting current roles.

Learn fundamentals of analytics architecture, ML methods & predictive techniques

Master tools for data cleaning, modeling, visualization & interpretation

Build strong analytical, leadership & data problem-solving skills

Apply governance, data ethics, automation & statistical frameworks

Prepare for roles like data analyst, ML engineer & analytics leader

Why Choose MCA in Data Analytics in Teksversity?

Choosing Teksversity for your Data analyst master's program online specialization means joining a curriculum aligned with global analytics standards. The program focuses on machine learning, big data, visualization, and real-world analytics operations.

Key Highlights of MCA in Data Analytics

Learning Experience
  • Case studies in analytics use cases, predictive models & insights
  • Labs in Python, ML, dashboards & big data tools
  • Workshops on BI platforms, ML pipelines & reports
  • Leadership training for analytics teams
  • Critical-thinking and data problem-solving exercises
  • Expert talks from ML engineers & industry analysts
  • Cross-functional analytics collaboration
  • Peer discussions & insight review sessions
  • Continuous assessments & skill tracking

Download Our Course Brochure

Step into the world of data analytics and insight-driven intelligence with Teksversity’s MCA in Data Analytics program. Designed for aspiring analysts, this course emphasizes predictive modeling, visualization, and data-driven strategy.
Inside the Brochure:
  • Detailed MCA in Data Analytics curriculum & structure
  • Career paths in analytics and leadership roles
  • Admission process and eligibility information
  • Internship and placement support overview
  • Learning tools, mentorship & performance tracking
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Offering Universities
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Duration
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jain
ISONASSCOMMSMENSDC
4.5
24 months 4 sem
₹1,60,000
Total program fee
Teksversity Online Admission Process
Starting your academic journey is now simpler than ever with our streamlined online admission process. This guide outlines the straightforward steps, from creating your personal student account and submitting basic application details to uploading necessary documents and completing the secure fee payment, all leading to a quick verification and instant admission confirmation.
Guide to Online Admission Process
Step 1

Sign Up

Create your personal student account
Step 2

Fill Online Application

Enter your basic details online
Step 3

Upload Documents

Submit required certificates and ID proofs.
Step 4

Fees Submission

Complete secure online payment easily
Step 5

Document Verification

Quick review of documents and payment
Step 6

Admission Confirmation

Get instant confirmation of admission
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Frequently asked Questions
MCA in Data Analytics is a postgraduate program that trains students in data analysis, business intelligence, statistical modeling, and visualization, preparing them for high-demand data-driven roles.
You will develop expertise in Python, R, SQL, Excel, Tableau, Power BI, statistical modeling, data visualization, machine learning basics, and business intelligence tools.
Core subjects include Data Structures, Algorithms, Statistics, Python & R Programming, Data Visualization, Machine Learning, Big Data Analytics, Database Management, and Cloud Computing.
Graduates can work as Data Analysts, Business Intelligence Analysts, Data Scientists, Analytics Consultants, Machine Learning Assistants, or Database Analysts in IT, finance, e-commerce, healthcare, and consulting sectors.
Freshers typically earn ₹4–10 LPA, while skilled analytics professionals can earn ₹10–20 LPA+ depending on expertise and industry demand.
This program is suitable for graduates from BSc, BCA, or related fields aiming for a career in data analytics, business intelligence, or data-driven decision-making, even without a strong technical background.
You will gain hands-on experience with Python, R, SQL, Excel, Tableau, Power BI, Hadoop, Spark, and cloud analytics platforms like AWS and Azure.
The program combines theory with practical learning through projects, labs, and industry-focused assignments, equipping students with analytical, technical, and problem-solving skills for real-world analytics careers.
Data analytics offers high-growth opportunities in business intelligence, AI integration, predictive modeling, big data, and analytics consulting, ensuring excellent career growth and global prospects.
Absolutely. It equips graduates with in-demand analytical and technical skills, opening doors to high-paying roles across diverse industries with long-term growth potential.

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