The modern era has seen significant advancements in computer-driven technology. We’ve been reliant on computers for decades, and the expanding demand for specialists has created new opportunities for those with master’s degrees in Computer Applications.
The Master of Computer Applications (MCA) is a two-year professional post-graduate programme that offers education related to computers, programming, and applications to students who wish to dig deeper into the field of computer application development. The curriculum combines both theoretical and practical expertise.
The program’s razor-sharp curriculum was developed in collaboration with industry experts to ensure its understandability and applicability in a real-world setting. Project-based learning, internships, and research-based projects are among the program’s highlights, which span two years/ four semesters of study and allow students to explore and apply what they’ve learned in the classroom while working on real-world business problems. The course format includes the tools and technology used by industries. Artificial Intelligence, Data Science, Machine Learning, Cloud Computing, Mobile Applications, and other emerging technologies will be the emphasis of the curriculum.
The study of computers and computational systems is known as computer applications. Computer scientists and professionals create, construct, and analyse algorithms to solve problems and research the performance of computer hardware, networks, and software. The most important and fastest-growing industry is computer applications. Computers are used extensively in a variety of industries, including manufacturing, energy, banking, finance, retail, autos, insurance, real estate, logistics, hospitality, etc.
The curriculum is tailored to fulfill the growing demand for computer/IT specialists in industries, corporations, multinational corporations, and public sector organizations. After successful completing this professional programme, there are numerous employment options available. Students who desire to further their knowledge and improve their career prospects might pursue advanced degrees such as MS, M.Tech. (Computer Science & Engineering or related fields), and Ph.D in Indian and abroad.
Our curriculum structure has been planned and developed with the active collaboration of industry experts, practitioner, and academicians in order to prepare students for careers in IT-related jobs and the software sector.
A MCA degree opens up senior-level work prospects. The following are some examples of such opportunities:
After completion of the course the participants will be able to:-
Passed BCA/ Bachelor Degree in Computer Science Engineering or equivalent degree.
Passed B.Sc./ B.Com./ B.A. with Mathematics at 10+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the Birla Global University).
Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination
|Computer System Architecture||Core||4|
|Mathematical Foundations for Computer Science||General Elective||4|
|Management Concepts & Practices||General Elective||4|
|Programming Methodology LAB||Core Practice||2|
|Computer System Architecture LAB||Core Practice||2|
|Professional Communication LAB||Skill Enhancement|
|Data Structures & Analysis of Algorithms||Core||4|
|Data Base Management System||Core||4|
|Object Oriented Programming using Java||Core||4|
|Principles of Operating System||Core||4|
|Quantitative Techniques/ Numerical Analysis||General Elective||4|
|Data Structures & Analysis of Algorithms LAB||Core Practice||2|
|Data Base Management System LAB||Core Practice||2|
|Object Oriented Programming using Java LAB||Core Practice||2|
|Seminar/ MOOC/Open Elective||Seminar/MOOC/Open Elective||2|
|Introduction to Computer Networks||Core||4|
|Computer Graphics and Animation||Core||4|
|Professional Elective – I||Professional Elective||3|
|Professional Elective – II||Professional Elective||3|
|Introduction to Computer Networks LAB.||Core Practice||2|
|Computer Graphics and Animation LAB.||Core Practice||2|
|Web Technologies LAB.||Core Practice||2|
|Python Programming LAB.||Core Practice||2|
|Industrial Internship –I|
(Evaluation of Internship at the end of 1 year of study)
|Introduction to Machine Learning||Core||4|
|Software Engineering using UML||Core||4|
|Professional Elective -III||Professional Elective||3|
|Professional Elective -IV||Professional Elective||3|
|Introduction to Machine Learning LAB||Core Practice||2|
|Software Engineering using UML LAB||Core Practice||2|
|Major Project & Comprehensive Viva||Project||10|
|S. No.||List of Professional Elective (Track-wise) Subjects|
|List of Domain Specific Professional Elective-I|
|1.||Data Mining & Knowledge Discovery|
|2.||Mobile Application Development|
|3.||PHP and My SQL|
|List of Domain Specific Professional Elective-II|
|2.||Distributed System / Distributed Technology|
|List of Domain Specific Professional Elective-III|
|1.||Business Analytics and Big Data|
|List of Domain Specific Professional Elective-IV|
|1.||Artificial Intelligence & Expert System|
|2.||Cryptography and Network Security|
|3.||Internet of Things|
|List of Open Elective Subjects|
|2.||Enterprise Resource Planning|
|3.||Entrepreneurial Skill Development|
|4.||Lean Startup Management|
|5.||Data Analysis using Open Source Tool|
|6.||English for Research Paper Writing|
|7.||Data Analysis using Open Source Tool|
|8.||Cyber Law and Ethics|