Department of
Master's of Computer Applications

Approved Intake

120

Duration

2 Years

Approval

Mastering the Digital Future

About the Department

Technology is reshaping industries, economies and careers, and the Master of Computer Applications (MCA) programme at RVCE has been preparing students to lead this transformation since 1997. As the institution’s first postgraduate programme, it offers MCA, M.Sc. by Research and Ph.D. programmes, affiliated with Visvesvaraya Technological University, Belagavi. The MCA programme, with academic autonomy since 2016, holds NBA accreditation (2021-2026) and is approved by All India Council for Technical Education (AICTE), New Delhi.

Equipped with state-of-the-art infrastructure and industry-focused training, the programme equips graduates with the expertise to drive technological advancements, contribute to the economy, and lead in the digital era.

MESSAGE FROM HoD

The Department of Master of Computer Applications (MCA) at RVCE is a thriving hub of academic excellence, innovation, and skill development. We are dedicated to nurturing well-rounded professionals who are technically sound, ethically responsible, and socially conscious.

Our programme is built on an industry-aligned curriculum that embraces ICT-enabled education and encourages the use of Free and Open-Source Software to promote collaborative and cost-effective learning.

Dr. Jasmine K S
Associate Professor and Director
Department of MCA

Top Recruiters & Industry Collaboration

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Programme Outcomes (PO)

On completion of the MCA Programme, MCA graduates acquire competencies to:

  • PO1 (Foundation Knowledge): Apply knowledge of mathematics, programming logic and coding fundamentals for solution architecture and problem solving.
  • PO2 (Problem Analysis): Identify, review, formulate and analyse problems for primarily focusing on customer requirements using critical thinking frameworks.
  • PO3 (Development of Solutions): Design, develop and investigate problems with as an innovative approach for solutions incorporating ESG/SDG goals.
  • PO4 (Modern Tool Usage): Select, adapt and apply modern computational tools such as the development of algorithms with an understanding of the limitations, including human biases.
  • PO5 (Individual and Teamwork): Function and communicate effectively as an individual or a team leader in diverse and multidisciplinary groups. Use methodologies such as agile.
  • PO6 (Project Management and Finance): Use the principles of project management such as scheduling, work breakdown structure and be conversant with the principles of Finance for profitable project management.
  • PO7 (Ethics): Commit to professional ethics in managing software projects with financial aspects. Learn to use new technologies for cyber security and insulate customers from malware
  • PO8 (Life-long learning): Change management skills and the ability to learn, keep up with contemporary technologies and ways of working.

Programme Educational Objectives (PEO)

The MCA graduates will be able to

  • PEO 1: Practice software engineering principles and standards to develop software to meet customer requirements across verticals
  • PEO 2: Contribute to build sustainable and inclusive applications using mathematical, simulation and meta-heuristic models
  • PEO 3: Demonstrate entrepreneurial qualities through individual competence and team work
  • PEO 4: Achieve successful professional career with integrity and societal commitments leading to lifelong learning

Programme Outcomes (PO)

On completion of the MCA Programme, MCA graduates acquire competencies to:

  • PO1 (Foundation Knowledge): Apply knowledge of mathematics, programming logic and coding fundamentals for solution architecture and problem solving.
  • PO2 (Problem Analysis): Identify, review, formulate and analyse problems for primarily focusing on customer requirements using critical thinking frameworks.
  • PO3 (Development of Solutions): Design, develop and investigate problems with as an innovative approach for solutions incorporating ESG/SDG goals.
  • PO4 (Modern Tool Usage): Select, adapt and apply modern computational tools such as the development of algorithms with an understanding of the limitations, including human biases.
  • PO5 (Individual and Teamwork): Function and communicate effectively as an individual or a team leader in diverse and multidisciplinary groups. Use methodologies such as agile.
  • PO6 (Project Management and Finance): Use the principles of project management such as scheduling, work breakdown structure and be conversant with the principles of Finance for profitable project management.
  • PO7 (Ethics): Commit to professional ethics in managing software projects with financial aspects. Learn to use new technologies for cyber security and insulate customers from malware
  • PO8 (Life-long learning): Change management skills and the ability to learn, keep up with contemporary technologies and ways of working.

Programme Educational Objectives (PEO)

The MCA graduates will be able to

  • PEO 1: Practice software engineering principles and standards to develop software to meet customer requirements across verticals
  • PEO 2: Contribute to build sustainable and inclusive applications using mathematical, simulation and meta-heuristic models
  • PEO 3: Demonstrate entrepreneurial qualities through individual competence and team work
  • PEO 4: Achieve successful professional career with integrity and societal commitments leading to lifelong learning

Programme Specific Criteria (PSC)

The MCA programme will enable the students, by the time they graduate to

  • PSC 1: Explain the principles of mathematics, computing and business foundations
  • PSC 2: Demonstrate the use of software tools and technologies relevant to various verticals
  • PSC 3: Design and develop software products, processes and systems for real world situations

Programme Specific Criteria (PSC)

The MCA programme will enable the students, by the time they graduate to

  • PSC 1: Explain the principles of mathematics, computing and business foundations
  • PSC 2: Demonstrate the use of software tools and technologies relevant to various verticals
  • PSC 3: Design and develop software products, processes and systems for real world situations

MORE ABOUT THE

DEPARTMENT

About Department                                                                                                                

Academic Planning                                                                                                                

Faculty                                                                                                                                          

Research                                                                                                                                      

Placement                                                                                                                                    

Facilities                                                                                                                                       

Campus Diaries                                                                                                                        

MORE ABOUT THE DEPARTMENT

About Department                                                                                  

Academic Planning                                                                                

Faculty                                                                                                            

Research                                                                                                      

Placement                                                                                                   

Facilities                                                                                                       

Campus Diaries                                                                                        

MORE ABOUT THE DEPARTMENT

About Department                      

Academic Planning                      

Faculty                                                  

Research                                             

Placement                                          

Facilities                                             

Campus Diaries                              

YOUR PATH TO

ENROLMENT

Admission Process

virtual

campus tours

Can’t come all the way to visit us?
Don’t worry!

Our guided tour will take you on a virtual journey through our campus, where you can explore our classrooms and laboratories; catch a glimpse of what student experience on campus looks like; and sneak a look into our residential dorms.

Our virtual tour helps familiarise you with the college experience 24*7.

virtual

campus tours

Can’t come all the way to visit us? Don’t worry!

Our guided tour will take you on a virtual journey through our campus, where you can explore our classrooms and laboratories; catch a glimpse of what student experience on campus looks like; and sneak a look into our residential dorms.

Our virtual tour helps familiarise you with the college experience 24*7.

Department of Master's of Computer Application

PLACEMENT

Statistics OF ISE

PLACEMENT

Statistics OF EEE

Graduates from the Department of Aerospace Engineering at RVCE are highly sought after for their technical expertise and industry readiness. With a strong focus on practical learning and innovation, our students have been placed in top companies like Airbus, Boeing, Safran, Stellantis and Amazon, excelling across aerospace, R&D and emerging space-tech domains.

Placement overview

Number of
Companies Visited
0
Number of
Offers Made
0
Number of
Students Selected
0
Average
Salary
0 LPA
Maximum
Salary
0 LPA

Top Recruiters & Industry Collaboration

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B.E. - ASE PLACEMENT STATISTICS

2024-25*

Total Number of students – XX

Number of students eligible and interested – XX

Number of students obtained job – XX

Placement % – XX

Higher studies – XX

2023-24

Total Number of students – 62

Number of students eligible and interested – XX

Number of students obtained job – 33

Placement % – XX

Higher studies – 8

2022-23

Total Number of students – 71

Number of students eligible and interested – XX

Number of students obtained job – 34

Placement % – XX

Higher studies – 4

2021-22

Total Number of students – 74

Number of students eligible and interested – XX

Number of students obtained job – 42

Placement % – XX

Higher studies – 4

2020-21

Total Number of students – 68

Number of students eligible and interested – XX

Number of students obtained job – 25

Placement % – XX

Higher studies – 18

B.E. - ASE PLACEMENT STATISTICS

2024-25*

Total Number of students – XX

Number of students eligible and interested – XX

Number of students obtained job – XX

Placement % – XX

Higher studies – XX

2023-24

Total Number of students – 62

Number of students eligible and interested – XX

Number of students obtained job – 33

Placement % – XX

Higher studies – 8

2022-23

Total Number of students – 71

Number of students eligible and interested – XX

Number of students obtained job – 34

Placement % – XX

Higher studies – 4

2021-22

Total Number of students – 74

Number of students eligible and interested – XX

Number of students obtained job – 42

Placement % – XX

Higher studies – 4

2020-21

Total Number of students – 68

Number of students eligible and interested – XX

Number of students obtained job – 25

Placement % – XX

Higher studies – 18

B.E. ASE PLACEMENT STATISTICS

SALARY WISE

B.E. ASE PLACEMENT STATISTICS

SALARY WISE

2024-25* (Salary in Lakhs)

Minimum
X

Maximum
X

Average
X

2023-24 (Salary in Lakhs)

Minimum
5.88

Maximum
9.52

Average
7.70

2022-23 (Salary in Lakhs)

Minimum
3.00

Maximum
13.00

Average
7.63

2021-22 (Salary in Lakhs)

Minimum
3.00

Maximum
12.90

Average
7.59

2020-21 (Salary in Lakhs)

Minimum
4.00

Maximum
9.00

Average
6.12

2024-25*
(Salary in Lakhs)

Minimum
X

Maximum
X

Average
X

2023-24
(Salary in Lakhs)

Minimum
5.88

Maximum
9.52

Average
7.70

2022-23
(Salary in Lakhs)

Minimum
3.00

Maximum
13.00

Average
7.63

2021-22
(Salary in Lakhs)

Minimum
3.00

Maximum
12.90

Average
12.90

2020-21
(Salary in Lakhs)

Minimum
4.00

Maximum
9.00

Average
6.12