M.C.A.

Program Overview

The two-year Master of Computer Applications (MCA) programme emphasizes on the design and development of information systems and provides a solid background in Information Technology and Data Science. MCA students acquire strength in principles, concepts and foundations of computer science, information technology and various related applications. They would also have extensive programming / software development experience over a wide variety of platforms / applications. The curriculum has explicitly identified lab components for courses that discuss the principles with an implementation component.
The course is well balanced with significant emphasis on planning, designing and building complex commercial application software and system software. This MCA programme is not only a complete professional grooming for students for a successful career in the IT industry, but also, provides value-based education through a system of wholesome learning.

Program Highlights

The MCA program offers an in-depth curriculum covering advanced topics like artificial intelligence and cybersecurity. Soft skills development courses, elaborate choice of electives and mandatory research-oriented courses prepare students for diverse professional roles. This comprehensive program ensures graduates are well-equipped for the dynamic field of information technology.
The graduates of this programme are placed in reputed multinational companies with competent salary packages.

Career Opportunities

Graduates of the MCA programme have a diverse range of career opportunities in the field of information technology such as Software Developer, System Analyst, Database Administrator, IT Consultant, Data Scientist, etc.
The programme also provides a strong foundation to students who are interested to pursue research in computer science and related areas.
The programme builds a firm knowledge base for students planning for higher studies in India and abroad.

Terms and Conditions for Award and Renewal of Scholarship Fees

Scholarship Fees, i.e. Slabs 1 to 3 is allotted for the Academic Year 2023-2024 ONLY. Renewal of Scholarship Fees for subsequent years is subject to meeting the following conditions:

Consistent Academic performance by securing a Cumulative Grade Point Average (CGPA) of
1. 8.0 and above in the case of Scholarship Slab 1 at the end of each academic year
2. 7.5 and above in the case of Scholarship Slab 2 at the end of each academic year
3. 7.0 and above in the case of Scholarship Slab 3 at the end of each academic year
No disciplinary action during the period of study in the University.
Clearing each semester without any arrear

Failing to meet the aforesaid conditions 1,2 and 3, the candidate will be required to pay higher fees in the subsequent years.

If Slab 1 Student maintains CGPA 8.0 and above, the same fees slab will continue. If his/her CGPA is between 7.5 and 8.0, he/she will pay Slab 2 fees in the subsequent year. If his/her CGPA is between 7.0 and 7.5, he/she will pay Slab 3 fees in the subsequent year. If CGPA is below 7.0, the candidate will be required to pay slab 4 fees in the subsequent year.
In the event a student moves to higher fee slab due to not meeting conditions 1, 2 and 3 above, the student will not be able to move back to the old slab even if his/her CGPA improves in further subsequent years

Curriculum

Semester I Semester II Semester III Semester IV Pre-Requisite Courses Professional Electives Electives Open Labs

Semester I

Code	Title	L	T	P	Credit
22CSA504	Object-Oriented Programming Using Java	3	0	1	4
22MAT533	Mathematical Foundations for Computer Applications	3	1	0	4
22CSA505	Data Structures	3	0	1	4
22CSA506	Advanced DBMS	3	0	1	4
	Professional Elective I	3/3	1/0	0/1	4
	Elective I	3	0	0	3
22AVP103	Mastery Over Mind	1	0	2	2
22ADM501	Glimpses of Indian Culture	2	0	0	P/F
	Total		25

Semester II

Code	Title	L	T	P	Credit
22CSA513	Design and Analysis of Algorithms	3	1	0	4
22CSA514	Software Engineering and Design Patterns	3	1	0	4
22CSA580	Problem Formulation and Research Tools	0	0	1	1
	Professional Elective II	3 0 1/3 1 0			4
	Professional Elective III	3	0	1	4
	Elective II	3	0	0	3
	Elective III	3	0	0	3
	Open Lab I	0	0	1	1
	Total				24

Semester III

Code	Title	L	T	P	Credit
	Professional Elective IV	3 0 1/3 1 0			4
	Professional Elective V	3 0 1	0	1	4
	Elective IV	3 0 0	0	0	3
	Open Lab II	0 0 1	0	1	1
	Open Lab III	0 0 1	0	1	1
22CSA698	Dissertation Phase I				6
	Total				19

Semester IV

Code	Title	Credit
22CSA699	Dissertation Phase II	12
	Total	12
	Total Credits	80

Pre-Requisite Courses

Sl. No	Title
1	Python Programming
2	C Programming
3	SQL Basics

* These courses can be for a duration of 10-15 days.

Professional Electives

Code	Title	L	T	P	Credit
AI & DS Stream
22CSA532	Data Modelling and Visualization	3	0	1	4
22CSA533	Exploratory Data Analysis	3	0	1	4
22CSA534	Machine Learning	3	0	1	4
22CSA535	Data Mining and Applications	3	0	1	4
22CSA536	Big Data Analytics	3	0	1	4
22CSA537	Natural Language Processing	3	0	1	4
22CSA538	Computer Vision	3	0	1	4
Cyber SecurityY Stream
22CSA541	Fundamentals of Cryptography	3	0	1	4
22CSA542	System Security	3	0	1	4
22CSA543	Web Application Security	3	0	1	4
22CSA544	Network Security	3	0	1	4
22CSA545	VAPT (Vulnerability and Penetration Testing)	3	0	1	4
General Stream
22CSA551	Complex Network Analysis	3	0	1	4
22CSA552	Connected Internet of Things Devices	3	0	1	4
22CSA553	IoT and Cloud Computing	3	0	1	4
22CSA554	Semantic Web Technologies	3	0	1	4
22CSA555	Computer Graphics and Visualization	3	0	1	4
22CSA556	DevOps	3	0	1	4
22CSA557	Digital Image Processing	3	0	1	4
22CSA558	Advanced Computer Networks	3	0	1	4
22CSA559	Advanced Web Technologies and Mean Stack	3	0	1	4
22CSA560	Mobile Application Development	3	0	1	4
22CSA561	Multivariate Statistics	3	1	0	4
22CSA562	Fourier Transformation	3	1	0	4
22CSA563	Graph Theory and Combinatorics	3	1	0	4
22CSA564	Operations Research and Optimization	3	1	0	4

Electives

Code	Title	L	T	P	Credit
General Stream
22CSA631	Compiler Design	3	0	0	3
22CSA632	Advanced Operating Systems	3	0	0	3
22CSA633	Software Testing	3	0	0	3
22CSA634	Theory of Computation	3	0	0	3
22CSA635	Enterprise Resource Planning Management	3	0	0	3
22CSA636	Open-Source Systems	3	0	0	3
22CSA637	Parallel and Distributed Computing	3	0	0	3
22CSA638	Automation and Robotics	3	0	0	3
22CSA639	Software Defined Networks	3	0	0	3
22CSA640	Embedded Systems	3	0	0	3
22CSA641	Robotic Operating System	3	0	0	3
22CSA642	Software Quality Assurance	3	0	0	3
22CSA643	Web Services	3	0	0	3
AI & DS Stream
22CSA644	Deep Learning	3	0	0	3
22CSA645	Linear Algebra and Applications	3	0	0	3
22CSA646	Artificial Intelligence	3	0	0	3
22CSA647	Database Administration	3	0	0	3
22CSA648	Time Series Analysis	3	0	0	3
22CSA649	Information Retrieval	3	0	0	3
22CSA650	Information Science and Ethics	3	0	0	3
22CSA651	Pattern Recognition	3	0	0	3
22CSA652	Recommendation Systems	3	0	0	3
22CSA653	Web Mining	3	0	0	3
22CSA654	Business Analytics and Visualization	3	0	0	3
22CSA655	Computational Intelligence	3	0	0	3
Cyber Security Stream
22CSA661	Essentials of Cyber security	3	0	0	3
22CSA662	Malware Analysis	3	0	0	3
22CSA663	Blockchain and decentralized applications	3	0	0	3
22CSA664	Fundamentals of cyber security operations	3	0	0	3
22CSA665	Cloud and Infrastructure security	3	0	0	3
22CSA666	Cybersecurity Governance, Risk and Compliance	3	0	0	3
22CSA667	Cyber Security Law	3	0	0	3
22CSA668	Machine learning and artificial Intelligence in Cyber security	3	0	0	3
22CSA669	Mobile Security and Defense	3	0	0	3
22CSA670	Cyber Forensics	3	0	0	3
22CSA671	Security Architecture for Databases and Applications	3	0	0	3

Open Labs

Code	Title	P	Credit
22CSA581	Python Scripting for Security	1	1
22CSA582	Ethical Hacking	1	1
22CSA583	Python Programming	1	1
22CSA584	C#.Net	1	1
22CSA585	Android Programming	1	1
22CSA586	UI/ UX design	1	1
22CSA587	Linux Programming	1	1
22CSA588	Competitive programming	1	1
22CSA589	Edge computing	1	1
22CSA681	R programming	1	1
22CSA682	MATLAB Programming	1	1
22CSA683	High-Performance computing	1	1
22CSA684	Cyber Security	1	1
22CSA685	Algorithms Lab	1	1
22CSA686	Deep Learning Lab	1	1
22CSA687	SQLite	1	1

Year-wise Curriculum & Syllabus

Curriculum & Syllabus – 2022

Curriculum & Syllabus – 2020

Admission

Duration of the Course – 2 Years – 4 Semester

How to Apply

Registration for admission is fully online. Candidates are required to have their recent photograph, online payment credentials, etc. to be ready to complete the online application process.

Application fee of Rs. 750/-

The NRI applicants please email to nriadmission@amrita.edu and not be applied through the website.

Management Quota option in Amrita Online Application Portal (AOAP)

‘Candidates can also submit the option in Step 2 of the application process, in case if they wish to be considered under management quota.

Commencement of Application Form: March 11th, 2024

Kochi

Eligibility

As per AICTE norms

Selection

Selection will be based on merit and interview process.

Contact Us

Kochi Campus

Admissions

Phone:
+91 830 400 4400,
+91 484 280 2000

E-Mail :
admission@kh.amrita.edu

Mysuru Campus

Admission Convenor
Mobile: +91 9945531123
Email: admissions@my.amrita.edu

Admission Team
Phone: +(0821) – 2548600
Mobile : +91 8792911234 +91 8951311234 +91 8296230123 +91 8296220123
Email: mysuruadmissions@amrita.edu

Amritapuri Campus

Admission Coordinator
Toll-free Number: 18004258324
E-Mail: asasadmissions@am.amrita.edu

Placement Enqueries

Email: shyamsundarcv@am.amrita.edu
Ph: 0476 -280 5108

Toll-free Number:044-481-34483

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M. C. A.

Program Overview

Important Note

Commencement of Application Form: March 12, 2024

Terms and Conditions for Award and Renewal of Scholarship Fees

Curriculum

Year-wise Curriculum & Syllabus

Admission

How to Apply

Kochi

Eligibility

Selection

Fee Structure (Semester Wise)

Fee Structure (Semester Wise)

Facilities at a glance

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Kochi Campus

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