- Faculty
Faculty of Engineering and Technology
- Department
Department of Computer Applications
- Campus
Technology Campus (Peenya Campus)
- Engagement Mode
Full Time
Overview
This three years undergraduate program prepares the students in the computer applications domain in different verticals. The program is well accepted in the industry as it blend theoretical knowledge and practical skills, offering students a robust foundation for the industry. The courses in this program typically includes programming in computer languages, database systems, networking, web development, software engineering, cyber security, artificial intelligence and Generative AI, etc. Collaboration with industries to ensure students get exposure to current tech stacks. The BCA syllabus at M.S. Ramaiah University of Applied Sciences (RUAS) is meticulously crafted to provide students with the essential knowledge and skills needed to thrive in the ever-evolving technology landscape. The BCA program at RUAS well trains the students as job-ready professionals.
Regarding the job opportunities for the BCA graduates, they can work in the top-notch product-based and service IT companies. Apart from pure IT, sectors like health tech, fintech, edtech, government digitalization, e‑commerce, automation industry etc., will need computer application expertise. So BCA grads can find opportunities beyond standard IT service firms. For those who want to purse their higher studies further, they have options such as MCA, MSc (Computer Science / Data Science), or even abroad studies in Masters. These often lead to higher roles or specialized jobs.
Program Objectives
- To provide students with a strong academic foundation in the core areas of computer science and applications such as programming, databases, networking, and software development. Enable them to analyze, design, and develop software applications to meet real-world requirements.
- To develop competencies in problem-solving, critical thinking, and communication for a successful career in tech.
- To equip students with relevant technical and professional skills required for employment in IT and related industries.
- To promote values such as teamwork, leadership, and social responsibility.
- To encourage students to pursue lifelong learning, adapt to evolving technologies, and continuously upgrade their skills.
- To prepare students to work in diverse environments, including global IT industries, by giving them exposure to international standards, multicultural teams, and interdisciplinary knowledge.
Programme Educational Outcomes (PEOs)
- Professional Competence: To excel in computing careers by applying strong theoretical foundations, programming skills and modern software tools to solve real-world problems in diverse domains.
- Innovation and Life-long learning: To continually evolve as a technology professionals by engaging in life-long learning, pursuing higher education or research in advanced areas of computer applications and emerging technologies.
Programme Outcomes (POs)
- Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization
- Identify, formulate, review research literature and analyse complex engineering problems reaching substantiated conclusions with consideration for sustainable development.
- Design creative solutions for complex engineering problems and design / develop systems / components / processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required
- Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis and interpretation of data to provide valid conclusions.
- Create, select and apply appropriate techniques, resources and modern engineering and IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.
- Analyse and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.
- Apply ethical principles and commit ro professional ethics, human values, diversity and inclusion; adhere to national and international laws.
- Function effectively as an individual and as a member or leader in diverse / multi-disciplinary teams.
- Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language and learning differences.
- Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
- Recognize the need for and have the preparation and ability for 9i) independent and life-long learning (ii) adaptability to new and emerging technologies and (ii) critical thinking in the broadest context of technological change.
Curriculum Details
| Sl. No. | Course Type | Course Name | Theory | Tutorials | Practical | Max Marks | Total Credits |
|---|---|---|---|---|---|---|---|
| 1 | PCC | Mathematics Foundations to Computer Science - I | 3 | 1 | 0 | 100 | 4 |
| 2 | PCC | Computer Architecture | 3 | 0 | 2 | 100 | 4 |
| 3 | SEC | Problem Solving Techniques | 4 | 0 | 0 | 100 | 4 |
| 4 | AEC | General English - I | 2 | 0 | 0 | 100 | 2 |
| 5 | AEC | Additional Course - Indian or Foreign Language | 1 | 1 | 0 | 100 | 2 |
| 6 | MDE | Indian Knowledge System | 2 | 0 | 0 | 100 | 2 |
| 7 | VAC | Environmental Science and Sustainability | 2 | 0 | 0 | 100 | 2 |
| 8 | PCC | Problem Solving Techniques Lab | 0 | 0 | 4 | 100 | 2 |
| TOTAL | 17 | 2 | 6 | 800 | 22 | ||
| Total number of contact hours per week: 25 | |||||||
| Sl. No. | Course Type | Course Name | Theory | Tutorials | Practical | Max Marks | Total Credits |
|---|---|---|---|---|---|---|---|
| 1 | PCC | Mathematics Foundations to Computer Science - II | 3 | 1 | 0 | 100 | 4 |
| 2 | PCC | Data Structures | 3 | 1 | 0 | 100 | 4 |
| 3 | SEC | Python Programming | 3 | 0 | 0 | 100 | 3 |
| 4 | SEC | Design and Analysis of Algorithms | 3 | 0 | 2 | 100 | 4 |
| 5 | AEC | Additional Course - Indian or Foreign Language Other than Mother Tongue and English | 1 | 1 | 0 | 100 | 2 |
| 6 | VAC | Indian Constitution | 2 | 0 | 0 | 100 | 2 |
| 7 | PCC | Data Structures Lab | 0 | 0 | 4 | 100 | 2 |
| TOTAL | 15 | 3 | 6 | 700 | 21 | ||
| Total number of contact hours per week: 24 | |||||||
| Sl. No. | Course Type | Course Name | Theory | Tutorials | Practical | Max Marks | Total Credits |
|---|---|---|---|---|---|---|---|
| 1 | PCC | Probability and Statistics | 3 | 0 | 0 | 100 | 3 |
| 2 | PCC | Object Oriented Programming using Java | 3 | 1 | 0 | 100 | 4 |
| 3 | PCC | Database Management System | 3 | 0 | 2 | 100 | 4 |
| 4 | PCC | Computer Networks | 3 | 0 | 2 | 100 | 4 |
| 5 | PCC | Operating Systems | 3 | 1 | 0 | 100 | 4 |
| 6 | VAC | Yoga/Sports/NCC/NSS/Disaster Management | 2 | 0 | 0 | 100 | 2 |
| 7 | SEC | Object Oriented Programming using Java Lab | 0 | 0 | 4 | 100 | 2 |
| TOTAL | 17 | 2 | 8 | 700 | 23 | ||
| Total number of contact hours per week: 27 | |||||||
| Sl. No. | Course Type | Course Name | Theory | Tutorials | Practical | Max Marks | Total Credits |
|---|---|---|---|---|---|---|---|
| 1 | PCC | Software Engineering | 3 | 0 | 0 | 100 | 3 |
| 2 | PCC | Web Application Development | 3 | 0 | 2 | 100 | 4 |
| 3 | PCC | Data Security & Privacy | 3 | 1 | 0 | 100 | 4 |
| 4 | PCC | Principles of Artificial Intelligence | 3 | 1 | 0 | 100 | 4 |
| 5 | SEC | Data Mining & Warehousing | 3 | 0 | 2 | 100 | 4 |
| 6 | SEC | Design Thinking and Innovation | 2 | 0 | 0 | 100 | 2 |
| 7 | AEC | Soft Skills | 1 | 0 | 0 | 100 | 1 |
| TOTAL | 18 | 2 | 4 | 700 | 22 | ||
| Total number of contact hours per week: 24 | |||||||
| Sl. No. | Course Type | Course Name | Theory | Tutorials | Practical | Max Marks | Total Credits |
|---|---|---|---|---|---|---|---|
| 1 | PCC | Mobile Application Development | 3 | 0 | 2 | 100 | 4 |
| 2 | PCC | Big Data Analytics | 3 | 0 | 2 | 100 | 4 |
| 3 | SEC | Cloud Computing | 3 | 1 | 0 | 100 | 4 |
| 4 | SEC | Internship | 0 | 0 | 16 | 100 | 8 |
| 5 | VAC | Entrepreneurship and Startup Ecosystem | 2 | 0 | 0 | 100 | 2 |
| TOTAL | 11 | 1 | 20 | 500 | 22 | ||
| Total number of contact hours per week: 32 | |||||||
| Sl. No. | Course Type | Course Name | Theory | Tutorials | Practical | Max Marks | Total Credits |
|---|---|---|---|---|---|---|---|
| 1 | PCC | Generative AI | 3 | 0 | 2 | 100 | 4 |
| 2 | PCC | Project Work [Initiated in 5th Semester] | 0 | 0 | 32 | 100 | 16 |
| TOTAL | 3 | 0 | 34 | 200 | 20 | ||
| Total number of contact hours per week: 37 | |||||||
Eligibility Criteria
- Candidates must have passed the Pre-University Examination of Karnataka State or any 10+2 examination from a recognized board with a minimum aggregate of 45% marks.
- Admission selection is based on RUAS AT scores, and CUET-UG scores are also accepted and RUAS AT will be exempted for these candidates.
Structure
Fee Structure
| Course | Total Fee Per year |
|---|---|
| Bachelor of Computer Application (BCA) | 1,30,000 |
Intake
120
Career Path
The three years BCA program is well-accepted and recognized by the industry for its various roles like
- Machine Learning Specialist
- Data Analyst
- Data Scientist
- Software Developer
- Web Developer
- Full‑Stack Developer
- System Administrator
- Network Administrator
- Database Administrator
- Cyber security Analyst
- Digital Marketing Roles
- Quality Assurance / Testing.
ADDRESS
