M.C.A - Data Analytics
Overview
The MCA (Master of Computer Applications) program with a specialization in Data Analytics is designed to equip students with the skills needed to analyze and interpret large datasets. Here are some top colleges in India offering MCA programs with a focus on data analytics:
Some Highlights of M.C.A Data Analytics:
| Name Of The Course | M.C.A Data Analytics |
| Full Form | Masters of Computer Applications in Data Analytics |
| Level | Postgraduate |
| Eligibility | Bachelor's degree in Computer Applications (BCA) or a related field |
| Duration | 2 Years |
| Examination Type | Semester System |
| Admission Process | Entrance/Merit Based, Direct |
| Average Course Fees | ₹ 50 K To ₹ 3.5 L |
| Average Annual Salary | ₹ 4.0 LPA To ₹ 5.0 LPA |
| Job Profiles/Roles | Software Developer, Computer System Specialist, Project Manager, Hardware Engineer, Data Scientist, Troubleshooter, Cloud Architect, Cyber Security Expert, |
| Top Recruiters | Google.Microsoft.Amazon.Deloitte.Accenture.KPMG.Goldman Sachs.IBM. |
Top Colleges Offering M.C.A Data Analytics In India:
Presidency College, Bangalore
Lovely Professional University (LPU), Jalandhar
Poornima University, Jaipur
Hindustan Institute of Technology and Science (HITS), Chennai
MIT Art, Design and Technology University (MITADT), Pune
Surana College, Bangalore
Why Choose M.C.A Data Analytics:
- An MCA program provides you with in-depth knowledge of the technical aspects of computers and software applications. You learn various programming languages, software development tools, database management systems, operating systems, web technologies, networking protocols, etc. that are essential for the IT industry.
- An MCA course equips you with a set of skills that can help you adapt to different roles and responsibilities in the IT industry. You develop skills such as problem-solving, analytical thinking, logical reasoning, creativity, innovation, communication, teamwork, etc. that are required for any software professional.
- An MCA degree is recognized globally as a professional qualification in the field of computer applications. You can work in any country or organization that requires skilled and qualified software professionals. You can also pursue higher studies or research at reputed universities or institutes abroad with an MCA degree.
- An MCA program prepares you for an ongoing learning process that is essential for staying updated and relevant in the IT industry. You learn about the latest trends and developments in the field of computer applications and software development.
M.C.A Data Analytics Admission Details:
The admission process is two ways: through the entrance exam and direct admission. The seats are allotted based on their ranks, preferences, and availability of seats.
M.C.A Data Analytics Eligibiity:
- Candidates should have a bachelor's degree in a relevant field of study, typically BCA degree.
- Candidates must meet the minimum academic requirements, which is generally, 50% to 60% in the undergraduate degree.
- For admission to a few universities and institutes students are required to clear some top MCA entrance exams.
- Candidates must achieve a minimum cut-off score in the entrance exam to be eligible for admission. The cut-off scores can vary each year and are determined by the respective institutions.
Top Recruiters for MCA in Data Analytics
After completing an MCA in Data Analytics, you can explore various job opportunities with top companies across industries that require data-driven expertise. Here are some of the top recruiters for MCA graduates in Data Analytics:
Google
Microsoft
Amazon
Deloitte
Accenture
KPMG
Goldman Sachs
IBM
Adobe
Flipkart
Career Opportunities
Data Analyst
Data Scientist
Machine Learning Engineer
Business Intelligence Analyst
Data Engineer
Data Architect
Data Consultant
Quantitative Analyst
Operations Analyst
IT Systems Analyst
Syllabus
Semester 1
Mathematical Foundations for Computer Science
Computing Concepts and Problem Solving using C ***
Data Communication and Computer Networks
Data Structures ***
Relational Database Systems ***
Operating Systems
Computer Concepts and Problem Solving using C Lab
Data Structures Lab
Relational Database Systems Lab
Semester 2
Advanced Database Systems ***
Design and Analysis of Algorithms ***
Java Programming ***
Cyber Security, Laws and Ethics
Web Technologies
Computer Organization and Architecture
Advanced Database Systems Lab
Design and Analysis of Algorithms Lab
Java Programming Lab
Semester 3
Network Security and Cryptography
Artificial Intelligence and Machine Learning ***
Python Programming ***
Mobile Application Development ***
Software Engineering and Testing
Applied Learning
Artificial Intelligence and Machine Learning Lab
Python Programming Lab
Mobile Application Development Lab
Semester 4
Natural Language Processing
Big Data Analytics
Deep Learning
Computer Vision
Open Elective
Project **