| Course Name | MCA |
|---|---|
| Duration | 2 Years |
| Place | Jaipur |
| Fee Structure | |
|---|---|
| Admission Form | 500 |
| Registration Fee | 5,500/- |
| Tuition Fee | 43,500/- |
| 1st Installment | 13,500/- |
| 2nd Installment | 15,000/- |
| 3rd Installment | 15,000/- |
About MCA Program
MCA stands for Masters of Computer Application which is a 2 year
under graduating professional degree course in computer
applications. MCA Course is considered as a course equivalent to
B.Tech. in Computer Science. MCA stands for Bachelor of Computer
Application which is a 3 year under graduating professional degree
course in computer applications.
Today as we see the
rapid growth of IT industry worldwide. This rapid growth has
created a lot of opportunities for the computer graduates. This
course provides a sound academic base to students to help them
pursue advanced careerin the sector of IT. It is an ideal course
for the students who wnat to make career in computer science and
its related fields.
MCA Syllabus
| Subjects | Training |
|---|---|
| 1. Object Oriented Programming with C++ | Fundamentals of Programming |
| 2. Mathematical Foundations in Computer Science | Web Designing |
| 3. Operating System | Oops |
| 4. Computer Architecture | |
| 5. Database Systems | |
| 6. Web Technologies |
| Subjects | Training |
|---|---|
| 1. Java Technologies | Java |
| 2. Computer Networks | Python |
| 3. Data structures | SalesForce |
| 4. Software Engineering and UML | |
| 5. Python Programming | |
| 6. Business informatics |
| Subjects | Training |
|---|---|
| 1. Cloud Computing | Android Development |
| 2. Analysis and Design of Algorithm | Artificial intelligence and Machine Learning |
| 3. Artificial Intelligence | Data Science |
| 4. Information Security | |
| 5. Mobile application Development | |
| 6. Elective 1 |
Elective -1: a * : Data Mining and Warehousing b) Big Data Technologies c Soft Computing
| Subjects | Training |
|---|---|
| 1. Software project Management | AWS |
| 2. Elective 2 | Devops |
Elective -2: a * : Principles of Management and Information System b Machine Learning c Data Science with R
