Master of Computer Applications

MCA

Master of Computer Applications (MCA)

The Department of Computer Science and Engineering was established in the University in 2010. The department offers degree programs at doctoral, masters and bachelor levels. The two-year MCA program is designed to equip students with advanced knowledge in software development, system design, and IT solutions. It covers key areas such as programming, data structures, cloud computing, artificial intelligence, and database management. The program blends theoretical insights with practical exposure through industry collaborations, research projects, and internships. Graduates of the MCA program are well-prepared for careers in software engineering, data analytics, cybersecurity, and emerging computing domains. The curriculum emphasizes innovation and real-world problem-solving, enabling students to contribute effectively to the rapidly growing IT industry.

Specialization Options: Students admitted into any of the Masters programs will be provided the option to follow the general track or to opt to have specialization either in AI & ML or in Advanced Networks & Systems) before the beginning of the first semester.

Level

Master

Credit

Tuition Fee

$575 Per Semester^*

Admission Cycle

January, July

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Eligibility

Following Eligibility are required for enrolling in this programme

A candidate must have passed a 3 or 4 year Bachelor's degree with Mathematics as a subject either at the Bachelor’s level or at the 10+2 (12th class) level from a recognized institution or an examination recognized by the University as its equivalent with a minimum of 55% marks (or an equivalent grade).

Duration

Minimum Two (02) Years and Maximum four (04) Years

Fee Structure

S. No.	Fee Type	Amount	One Time/Recurring
1	Tuition Fee	USD 575/ INR 50025	Per Semester
2	Registration Fee	USD 20/ INR 1740	One Time
3	Admission Fee	USD 200/ INR 17400	One Time
4	Student Aid Fund	USD 10/ INR 870	Per Semester

Scholarship: 25% tuition fee concession will be given on SAU-VC programs to the following:

Current SAU Students
SAU Alumni
Teachers from SAARC countries

The installment policy for all virtual campus degree programmes will be similar to that of the SAU policy.

Admission Process

A candidate who meet the eligibility criteria can enroll in the programme.

Course Structure

Semester 1

Credit 4

Programming and Data Structures using C

Title

Programming and Data Structures using C

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 1

Credit 4

Computer Organization and Design

Title

Computer Organization and Design

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 1

Credit 4

Database Systems

Title

Database Systems

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 1

Credit 4

Mathematical Foundation for Computer Science

Title

Mathematical Foundation for Computer Science

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 1

Credit 4

Full Stack Development 01

Title

Full Stack Development 01

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 1

Credit 0

Writing and Communication Skills in English

Title

Writing and Communication Skills in English

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 3

Credit 4

Software Engineering

Title

Software Engineering

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 3

Credit 4

Introduction to Artificial Intelligence

Title

Introduction to Artificial Intelligence

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 3

Credit 4

Full Stack Development 03

Title

Full Stack Development 03

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 3

Credit 4

General Elective 1

Title

General Elective 1

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

General Elective

Distributed Machine Learning

Fuzzy Modelling

Performance Modeling and Simulation of Computer Systems

Soft Computing

Logic for Computer Science
Queueing Theory with Applications
Theory of Computation

Real-Time Systems

Mobile Computing

Embedded Systems Design

Semester 3

Credit 4

General Elective 2

Title

General Elective 2

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

General Elective

Distributed Machine Learning

Fuzzy Modelling

Performance Modeling and Simulation of Computer Systems

Soft Computing

Logic for Computer Science
Queueing Theory with Applications
Theory of Computation

Real-Time Systems

Mobile Computing

Embedded Systems Design

Semester 4

Credit 18

Project

Title	:	Project
Credit	:	18

Programme Coordinator

Dr. Kavita Khanna

Professor

Department of Computer Science & Engineering, FET, SAU

India

kavitakhanna(at)sau.int

Master of Computer Applications

MCA