Master of Computer Applications (MCA) was designed to meet the growing demand for qualified professionals in the field of computer science and Information Technology. Especially for the design and development of software systems. The program would enhance their exposure to a variety of roles and responsibilities they can take up in the area of expertise. Focused grooming would also make it easier for the IT industry to decide which graduate could be mapped to the right domain. Enabling entrepreneurship is also the need of the hour and students interested to be on their own could leverage from the newly designed focused program for entrepreneurs.
DEPARTMENT OF COMPUTER APPLICATIONS
VISION
The department of Computer Applications aims to transform aspiring students into software professionals with a high degree of technical skills and to inculcate a research mind set.
MISSION
M1. To provide strong theoretical foundations complemented with extensive practical training.
M2. To design and deliver curricula to meet the changing needs of industry.
M3. To establish strong collaborations with industry, R&D and academic institutes for training and research.
M4. To promote all-round development of the students through interaction with alumni and industry
DEPARTMENT OF COMPUTER APPLICATIONS
PROGRAM EDUCATIONAL OBJECTIVES (PEO)
The program is expected to enable the students to
PEO 1: To prepare graduates to be successful professionals in industry, government,academia, research, entrepreneurial pursuit and consulting firms.
PEO 2: To prepare graduates to achieve peer-recognition, as an individual and as a team player, through demonstration of good analytical, design, implementation and interpersonal skills.
PEO 3: To prepare graduates to contribute to society as broadly educated, expressive,ethical and responsible citizens with proven expertise.
PEO 4: To prepare graduates to pursue life-long learning to fulfill their goals.
PROGRAM OUTCOMES (ALIGNED WITH GRADUATE ATTRIBUTES) (PO)
At the end of this program, graduates will be able to
PO 1: Computational Knowledge: Apply knowledge of computing fundamentals,computing specialisation, mathematics, and domain knowledge appropriate for the computing specialisation to the abstraction and conceptualization of computing models from defined problems and requirements.
PO 2: Problem Analysis: Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
PO 3: Design /Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
PO 4: Conduct Investigations of Complex Computing Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO 5: Modern Tool Usage: Create, select, adapt and apply appropriate techniques,resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
PO 6: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practice.
PO 7: Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
PO 8: Project management and finance: Demonstrate knowledge and understanding of the computing and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO 9: Communication Efficacy: Communicate effectively with the computing community,and with society, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations,and give and understand clear instructions.
PO 10: Societal and Environmental Concern: Understand and assess societal, environmental,health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
PO 11: Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PO 12: Innovation and Entrepreneurship: Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.
PROGRAM SPECIFIC OUTCOMES (PSO)
PSO 1: Enable the students to design suitable data models, appropriate architectures and analytics techniques for efficient implementation of complex systems
PSO 2: Enable the students to design and integrate systems for providing interactive solutions for healthcare applications.
DEPARTMENT OF COMPUTER APPLICATIONS
Objectives of the Course
To prepare graduates to be successful professionals in industry, government, academia, research, entrepreneurial pursuit and consulting firms.
To prepare graduates to achieve peer-recognition, as an individual and as a team player, through demonstration of good analytical, design, implementation and interpersonal skills.
To prepare graduates to contribute to society as broadly educated, expressive, ethical and responsible citizens with proven expertise.
To prepare graduates to pursue life-long learning to fulfill their goals.
Industry experts participation in Board of Studies
High end computing facilities
MoU with IT Industries for placement with free academic projects and corporate training
Industrial visits are regularly arranged
Conferences, Workshops and Seminars are organized regularly.
Experiential Learning
MOOC courses enabled Curriculum
Industry focused electives
DEPARTMENT OF COMPUTER APPLICATIONS
Career Opportunities
The tech-savvy software professionals graduating this course would surely be placed as application designer, developer, tester and software engineer/technocrat in top notch flagship companies.
Post-graduates are able to contribute quickly to the well-being of corporate IT and informational assets. There is always a high demand for computer application post graduates from India all over the globe.
Software Programer
Cloud Architect
Data Scientist
Software Engineer
Software Developer
Software Consultant
DEPARTMENT OF COMPUTER APPLICATIONS
Eligibility
Passed BCA/ Bachelor Degree in Computer Science Engineering or equivalent Degree. OR passed B.Sc./ B.Com./ B.A. with Mathematics at l0+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the concerned University). Obtained at least 50 %marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination.
DEPARTMENT OF COMPUTER APPLICATIONS
SEMESTER I
SL. NO
COURSE
COURSE CODE
NAME OF THE COURSE
L
T
P
C
S
TCH
1
PC
CAA3701
Advanced Data Structures and Algorithms using Python
3
0
2
4
2
5
2
PC
MAA3706
Statistics for Computer Science
4
0
0
4
1
4
3
PC
CAA3702
Database Technology
3
1
0
4
1
4
4
PC
CAA3703
Object Oriented Programming using Java
2
0
2
4
1
4
5
PC
CAA3704
Computer Networks
3
0
0
3
1
3
PRACTICAL
6
PC
CAA3781
Software Design Project
0
0
6
2
0
6
Total
15
1
10
21
6
26
SEMESTER II
SL. NO
COURSE
COURSE CODE
NAME OF THE COURSE
L
T
P
C
S
TCH
1
PC
CAA3705
Web Design and Development
3
1
0
4
1
4
2
PC
CAA3706
Data Warehousing and Data Mining
2
0
2
4
1
4
3
PC
CAA3707
Machine Learning
3
1
0
4
1
4
4
PC
CAA3708
Software Engineering
3
1
0
4
1
4
5
PE
CA*****
Elective-1(Specialization)
3
0
0
3
1
3
6
PE
CA*****
Elective-2 (Specialization)
3
0
0
3
1
3
PRACTICAL
7
PC
CAA3782
Software Development Lab
0
0
2
1
0
3
8
PC
CAA3783
Web Programming Lab
0
0
2
1
0
3
Total
14
3
6
24
5
23
L – Lecture ; T – Tutorial ; P – Practical ; S- Self Study; C – Credit
SEMESTER III
SL. NO
COURSE
COURSE CODE
NAME OF THE COURSE
L
T
P
C
S
TCH
1
PC
CAA3709
Software Testing and Quality Assurance
2
0
2
4
1
0
2
PC
CAA3710
DevOps
2
0
2
4
1
0
3
PC
CAA3711
MOOC (Specialization)
0
0
0
2
3
3
4
PE
CA*****
Elective -3 (Specialization)
3
0
0
3
0
3
5
PE
CA*****
Elective -4 (Specialization)
3
0
0
3
0
3
6
OE
*******
Open Elective
3
0
0
3
0
3
PRACTICAL
7
PC
ELA4383
Presentation Skills and Academic writing
0
0
2
1
0
2
8
PC
CAA3784
Project Phase-I
0
0
6
3
0
6
SEMESTER IV
SL. NO
COURSE
COURSE CODE
NAME OF THE COURSE
L
T
P
C
S
TCH
PRACTICAL
1
PC
CAA3785
Project Work - Phase – II
0
0
24
12
0
24
Total
0
0
24
12
0
24
LIST OF DEPARTMENTAL ELECTIVES WITH GROUPING - SEMESTER WISE
SL. NO
COURSE
COURSE CODE
NAME OF THE COURSE
L
T
P
C
S
TCH
Elective I
4
PE
CAD3721
Software Process and metrics
3
0
0
3
0
3
4
PE
CAD3722
.Net / ASP Programming
3
0
0
3
0
3
4
PE
CAB3721
Web analytics
3
0
0
3
0
3
4
PE
CAB3722
Big Data Analytics
3
0
0
3
0
3
4
PE
CAC3721
Cloud Architecture
3
0
0
3
0
3
4
PE
CAC3722
Virtualization Techniques
3
0
0
3
0
3
Elective II
4
PE
CAD3723
Agile Methods
3
0
0
3
0
3
4
PE
CAD3724
Internet of things
3
0
0
3
0
3
4
PE
CAB3723
R Programming
3
0
0
3
0
3
4
PE
CAB3724
Big Data Framework
3
0
0
3
0
3
4
PE
CAC3723
Cloud Application Development
3
0
0
3
0
3
4
PE
CAC3724
Cloud Analytics
3
0
0
3
0
3
Elective III
5
PE
CAD3725
Image processing
3
0
0
3
0
3
5
PE
CAD3726
Block Chain Technology
3
0
0
3
0
3
5
PE
CAB3725
Semantic Web
3
0
0
3
0
3
5
PE
CAB3726
Data Visualization Techniques and Tools
3
0
0
3
0
3
5
PE
CAC3725
Cloud Security
3
0
0
3
0
3
5
PE
CAC3726
Cloud Storage and Security
3
0
0
3
0
3
Elective IV
5
PE
CAD3727
Natural Language Processing
3
0
0
3
0
3
5
PE
CAD3728
Distributed Computing
3
0
0
3
0
3
5
PE
CAD3729
Augmented and Virtual Reality
3
0
0
3
0
3
5
PE
CAB3727
Data Classification Methods and Evaluation
3
0
0
3
0
3
5
PE
CAB3728
Principles of Deep Learning
3
0
0
3
0
3
5
PE
CAC3727
Private Cloud Deployment and Management
2
0
1
3
0
3
5
PE
CAC3728
Back up and Disaster Recovery
3
0
0
3
0
3
MCA
Master of Computer Applications
2 Years
DEPARTMENT OF COMPUTER APPLICATIONS
About the Course
Master of Computer Applications (MCA) was designed to meet the growing demand for qualified professionals in the field of computer science and Information Technology. Especially for the design and development of software systems. The program would enhance their exposure to a variety of roles and responsibilities they can take up in the area of expertise. Focused grooming would also make it easier for the IT industry to decide which graduate could be mapped to the right domain. Enabling entrepreneurship is also the need of the hour and students interested to be on their own could leverage from the newly designed focused program for entrepreneurs.
DEPARTMENT OF COMPUTER APPLICATIONS
VISION
The department of Computer Applications aims to transform aspiring students into software professionals with a high degree of technical skills and to inculcate a research mind set.
MISSION
M1. To provide strong theoretical foundations complemented with extensive practical training.
M2. To design and deliver curricula to meet the changing needs of industry.
M3. To establish strong collaborations with industry, R&D and academic institutes for training and research.
M4. To promote all-round development of the students through interaction with alumni and industry
DEPARTMENT OF COMPUTER APPLICATIONS
PROGRAM EDUCATIONAL OBJECTIVES (PEO)
The program is expected to enable the students to
PEO 1: To prepare graduates to be successful professionals in industry, government,academia, research, entrepreneurial pursuit and consulting firms.
PEO 2: To prepare graduates to achieve peer-recognition, as an individual and as a team player, through demonstration of good analytical, design, implementation and interpersonal skills.
PEO 3: To prepare graduates to contribute to society as broadly educated, expressive,ethical and responsible citizens with proven expertise.
PEO 4: To prepare graduates to pursue life-long learning to fulfill their goals.
PROGRAM OUTCOMES (ALIGNED WITH GRADUATE ATTRIBUTES) (PO)
At the end of this program, graduates will be able to
PO 1: Computational Knowledge: Apply knowledge of computing fundamentals,computing specialisation, mathematics, and domain knowledge appropriate for the computing specialisation to the abstraction and conceptualization of computing models from defined problems and requirements.
PO 2: Problem Analysis: Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
PO 3: Design /Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
PO 4: Conduct Investigations of Complex Computing Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO 5: Modern Tool Usage: Create, select, adapt and apply appropriate techniques,resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
PO 6: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practice.
PO 7: Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
PO 8: Project management and finance: Demonstrate knowledge and understanding of the computing and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO 9: Communication Efficacy: Communicate effectively with the computing community,and with society, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations,and give and understand clear instructions.
PO 10: Societal and Environmental Concern: Understand and assess societal, environmental,health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
PO 11: Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PO 12: Innovation and Entrepreneurship: Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.
PROGRAM SPECIFIC OUTCOMES (PSO)
PSO 1: Enable the students to design suitable data models, appropriate architectures and analytics techniques for efficient implementation of complex systems
PSO 2: Enable the students to design and integrate systems for providing interactive solutions for healthcare applications.
DEPARTMENT OF COMPUTER APPLICATIONS
Objectives of the Course
To prepare graduates to be successful professionals in industry, government, academia, research, entrepreneurial pursuit and consulting firms.
To prepare graduates to achieve peer-recognition, as an individual and as a team player, through demonstration of good analytical, design, implementation and interpersonal skills.
To prepare graduates to contribute to society as broadly educated, expressive, ethical and responsible citizens with proven expertise.
To prepare graduates to pursue life-long learning to fulfill their goals.
Industry experts participation in Board of Studies
High end computing facilities
MoU with IT Industries for placement with free academic projects and corporate training
Industrial visits are regularly arranged
Conferences, Workshops and Seminars are organized regularly.
Experiential Learning
MOOC courses enabled Curriculum
Industry focused electives
DEPARTMENT OF COMPUTER APPLICATIONS
Career Opportunities
The tech-savvy software professionals graduating this course would surely be placed as application designer, developer, tester and software engineer/technocrat in top notch flagship companies.
Post-graduates are able to contribute quickly to the well-being of corporate IT and informational assets. There is always a high demand for computer application post graduates from India all over the globe.
Software Programer
Cloud Architect
Data Scientist
Software Engineer
Software Developer
Software Consultant
DEPARTMENT OF COMPUTER APPLICATIONS
Eligibility
Passed BCA/ Bachelor Degree in Computer Science Engineering or equivalent Degree. OR passed B.Sc./ B.Com./ B.A. with Mathematics at l0+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the concerned University). Obtained at least 50 %marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination.
DEPARTMENT OF COMPUTER APPLICATIONS
SEMESTER I
SL. NO
COURSE
COURSE CODE
NAME OF THE COURSE
L
T
P
C
S
TCH
1
PC
CAA3701
Advanced Data Structures and Algorithms using Python
3
0
2
4
2
5
2
PC
MAA3706
Statistics for Computer Science
4
0
0
4
1
4
3
PC
CAA3702
Database Technology
3
1
0
4
1
4
4
PC
CAA3703
Object Oriented Programming using Java
2
0
2
4
1
4
5
PC
CAA3704
Computer Networks
3
0
0
3
1
3
PRACTICAL
6
PC
CAA3781
Software Design Project
0
0
6
2
0
6
Total
15
1
10
21
6
26
SEMESTER II
SL. NO
COURSE
COURSE CODE
NAME OF THE COURSE
L
T
P
C
S
TCH
1
PC
CAA3705
Web Design and Development
3
1
0
4
1
4
2
PC
CAA3706
Data Warehousing and Data Mining
2
0
2
4
1
4
3
PC
CAA3707
Machine Learning
3
1
0
4
1
4
4
PC
CAA3708
Software Engineering
3
1
0
4
1
4
5
PE
CA*****
Elective-1(Specialization)
3
0
0
3
1
3
6
PE
CA*****
Elective-2 (Specialization)
3
0
0
3
1
3
PRACTICAL
7
PC
CAA3782
Software Development Lab
0
0
2
1
0
3
8
PC
CAA3783
Web Programming Lab
0
0
2
1
0
3
Total
14
3
6
24
5
23
L – Lecture ; T – Tutorial ; P – Practical ; S- Self Study; C – Credit
SEMESTER III
SL. NO
COURSE
COURSE CODE
NAME OF THE COURSE
L
T
P
C
S
TCH
1
PC
CAA3709
Software Testing and Quality Assurance
2
0
2
4
1
0
2
PC
CAA3710
DevOps
2
0
2
4
1
0
3
PC
CAA3711
MOOC (Specialization)
0
0
0
2
3
3
4
PE
CA*****
Elective -3 (Specialization)
3
0
0
3
0
3
5
PE
CA*****
Elective -4 (Specialization)
3
0
0
3
0
3
6
OE
*******
Open Elective
3
0
0
3
0
3
PRACTICAL
7
PC
ELA4383
Presentation Skills and Academic writing
0
0
2
1
0
2
8
PC
CAA3784
Project Phase-I
0
0
6
3
0
6
SEMESTER IV
SL. NO
COURSE
COURSE CODE
NAME OF THE COURSE
L
T
P
C
S
TCH
PRACTICAL
1
PC
CAA3785
Project Work - Phase – II
0
0
24
12
0
24
Total
0
0
24
12
0
24
LIST OF DEPARTMENTAL ELECTIVES WITH GROUPING - SEMESTER WISE
Academics
Admissions 2024
Research
International Affairs
Student Affairs
Placements
Careers
