Bachelor of Computer Applications (Honours / Honours with Research)
Apprenticeship Embedded Degree Programme (GUVI-HCL Partnered)
Overview
The Bachelor of Computer Applications (Honours / Honours with Research) under the Apprenticeship Embedded Degree Programme is designed to provide a comprehensive foundation in modern computing and software development. The programme focuses on core areas such as programming, data structures, database management, computer networks, operating systems, and software engineering. Students develop strong analytical and problem solving abilities while gaining proficiency in industry relevant programming tools and technologies.
The curriculum integrates emerging technology domains including Artificial Intelligence, Data Analytics, Cloud Computing, Machine Learning, DevOps, and Full Stack Development. Practical learning is a central component of the programme, supported through laboratory sessions, coding exercises, industry oriented projects, and structured apprenticeship training. Delivered in collaboration with GUVI and HCL industry experts, the programme ensures that students gain exposure to real world tools, development environments, and current industry practices.
Aligned with the principles of NEP 2020 and the UGC Curriculum and Credit Framework for Undergraduate Programmes, the programme supports flexible learning pathways and academic mobility. Students progress through a structured apprenticeship model where industry exposure complements classroom learning. This approach prepares graduates for careers in software development, data driven industries, technology innovation, research, and higher education, while also enabling entrepreneurial opportunities in the digital economy.
Certifications Offered: Industry integrated certification from GUVI HCL
Eligibility
Candidates must have successfully completed their 10 + 2 (level 4.0 / Class 12) or equivalent examination from a recognised board.
OR
A pass in diploma in Commercial Practice or equivalent.
Note: This is in accordance with the AICTE Guidelines.
Duration: 4 Years (8 Semesters)
Total Credits: 172
Study Campus
JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 560 069
080 - 69279444
+91 83109 42174
Admissions Office
JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 560 069
080 - 69279444
+91 83109 42174
Curriculum Structure
- Mathematics Foundations for Computer Science
- Applied Programming with Python and Git
- Software Development Lifecycle and Agile Foundations
- Professional Communication Skills I
- Language I
- Kannada I
- Hindi I
- Sanskrit I
- Additional English I
- Applied Programming with Python and Git Lab
- Software Development Lifecycle and Agile Foundations Lab
- Disaster Management and Preparedness
- Mind Management and Human Values I
- Applied Data Structures and Industry Problem Solving
- Advanced Mathematical Methods for Computer Science
- SQL for Real World Applications and Database Projects
- Introduction to Data Analytics
- Professional Communication Skills II
- Language II
- Kannada II
- Hindi II
- Sanskrit II
- Additional English II
- Applied Data Structures Lab
- SQL and Database Projects Lab
- Open Elective I
- Mind Management and Human Values II
- Object Oriented Programming using Java
- Computer Networks
- Full Stack Development
- Cloud Fundamentals and Application Deployment
- Artificial Intelligence
- Indian Constitution
- Open Elective II
- Java Programming Lab
- Full Stack Development Lab
- Cloud Deployment Lab
- Operating Systems
- Machine Learning
- DevOps and CI/CD Engineering
- Environmental Studies
- DevOps and CI/CD Lab
- Industry Capstone Project and Apprenticeship Readiness Programme
- Seminar
- Open Elective III
- Industry Apprenticeship
- Seminar
- Industry Apprenticeship
Honours
- Discipline Specific Elective I
- Discipline Specific Elective II
- Applied Mathematics I
- Industry Mentored Project I
- Seminar
Honours with Research
- Discipline Specific Elective I
- Discipline Specific Elective II
- Applied Mathematics I
- Generative AI
- Research Methodology
Honours
- Discipline Specific Elective I
- Discipline Specific Elective II
- Applied Mathematics I
- Generative AI
- Research Methodology
Honours with Research
- Dissertation
- Agentic AI
- Applied Mathematics II
Course Highlights
- Apprenticeship Embedded Learning Model: The curriculum integrates academic study with structured industry apprenticeship to provide practical workplace experience.
- Comprehensive Computing Curriculum: Covers programming, software engineering, databases, networking, operating systems, and modern application development.
- Hands on Laboratory Training: Dedicated labs and coding practice sessions enable students to build and test software applications.
- Exposure to Emerging Technologies: Students gain knowledge in Artificial Intelligence, Machine Learning, Cloud Computing, DevOps, and modern web technologies.
- Industry Collaboration: Technical courses are supported by industry professionals who provide insights into current software development practices.
- Real World Projects and Capstone Work: Students work on practical projects and industry oriented assignments that simulate real development environments.
- Flexible Academic Pathways: The programme follows NEP 2020 with multiple exit options and pathways to Honours or Honours with Research.
- Research and Innovation Opportunities: Final year projects and research components allow students to explore advanced computing topics and innovation.
Career Enhancement
JAIN (Deemed to be University) supports student development through a range of initiatives designed to strengthen industry readiness, technical expertise, and professional skills. These programmes complement the academic curriculum and help students gain practical exposure, build professional networks, and prepare for successful careers in the technology sector.
- Industry Apprenticeship Programme: Students gain structured workplace experience through credit based apprenticeship training with industry partners.
- Industry Mentorship: Experienced professionals guide students during projects, providing insights into software development practices and career pathways.
- Technical Skill Development Workshops: Regular workshops and bootcamps help students strengthen programming, data analytics, and cloud computing skills.
- Certification and Professional Learning Support: Access to recognised learning platforms allows students to pursue additional certifications aligned with industry needs.
- Project Exhibitions and Innovation Showcases: Students present software projects and prototypes, encouraging creativity and problem solving.
- Career Readiness Training: Sessions on resume development, interview preparation, aptitude testing, and professional communication support placement readiness.
- Research and Innovation Guidance: Faculty mentors support students in research activities, hackathons, and innovation driven projects.
- Entrepreneurship and Startup Exposure: Institutional initiatives encourage students to develop technology solutions and explore startup opportunities.
Career Outcomes
-
Software Development and Programming
Graduates develop strong skills in programming, software design, and application development. Career opportunities include roles such as software developer, application programmer, and backend developer. -
Web and Full Stack Development
Students gain expertise in front end and backend technologies, databases, and web frameworks. They can pursue roles such as full stack developer, web application developer, and UI developer. -
Data Analytics and Business Intelligence
Training in data analytics tools and database systems prepares graduates to analyse and interpret organisational data. Potential roles include data analyst, business intelligence analyst, and junior data scientist. -
Cloud Computing and DevOps Engineering
Students learn cloud platforms, application deployment, and development operations practices. Career opportunities include cloud support engineer, DevOps engineer, and infrastructure specialist. -
Artificial Intelligence and Machine Learning
Exposure to AI and machine learning concepts enables graduates to work with intelligent systems and predictive models. Career roles include AI associate, machine learning engineer, and data science professional. -
Cybersecurity and Information Security
Knowledge of secure systems and digital infrastructure prepares graduates for roles in protecting organisational data and networks. Positions include cybersecurity analyst and information security specialist. -
IT Consulting and Technology Services
Graduates can support organisations in adopting technology solutions and improving digital processes. Career opportunities include IT consultant, systems analyst, and technology solutions specialist. -
Higher Studies and Research Careers
Students can pursue postgraduate programmes such as MCA, MSc in Computer Science, or specialised technology degrees. Those interested in academic research may continue towards doctoral studies and research careers in computing.
FAQ's
What is an Apprenticeship Embedded Degree Programme (AEDP)?
AEDP is a UGC-approved programme that integrates academic study with structured industry apprenticeship, allowing students to gain workplace experience while completing their degree.
Do students receive a stipend during the apprenticeship?
Yes. Students may receive a stipend during the apprenticeship period in accordance with UGC, AICTE, and Apprenticeship Act guidelines.
Where is the apprenticeship conducted?
Apprenticeship training takes place at the industry partner’s workplace to ensure real professional exposure.
Is the AEDP degree valid for higher education and employment?
Yes. The degree is equivalent to a regular undergraduate degree and is recognised for higher studies, competitive examinations, and employment.
Can students pursue research in this programme?
Yes. Students can opt for the Honours with Research track, which includes research methodology and a dissertation in the final year.