Bachelor of Computer Applications - Data Analytics & Business Intelligence (DA & BI) ( DA & BI)

The Bachelor of Computer Applications with Specialization in Data Analytics & Business Intelligence (BCA - DA&BI) program at REVA University is a comprehensive Four-year undergraduate course designed to equip students with cutting-edge skills in Computer Science, Data Science, Data Analytics and Business Intelligence. The 4th Year Honours and Honours with Research tracks offer enhanced opportunities for academic excellence, advanced research, and advanced learning in the specialization areas of Data Analytics and Business Intelligence. With a focus on interdisciplinary learning, experiential learning methodologies, and industry-relevant projects, these programs seek to instil critical thinking, problem-solving abilities, and effective communication skills in students. The curriculum also includes hands-on labs, industry projects, and case studies to ensure practical, experiential learning.

Graduates specializing in Data Analytics and Business Intelligence (BI) have a wide range of promising career opportunities across various industries. Core roles include Data Analyst, Business Intelligence Analyst, and BI Developer, where professionals are responsible for analyzing structured data, creating dashboards, and developing reporting tools to inform strategic decisions. With knowledge of tools like SQL, Excel, Tableau, Power BI, Python, and R, these graduates can also pursue roles such as Data Scientist (entry-level), Data Engineer, or Market Research Analyst. These positions involve more advanced analytics, predictive modeling, or data pipeline development to support business functions like operations, marketing, finance, and product management.

Beyond traditional roles, opportunities also exist in specialized areas like healthcare analytics, financial risk analysis, and retail customer insights. Newer roles are emerging as well, including Analytics Translator, Cloud Data Analyst, and AI/ML Analyst, which require a blend of technical and business skills to bridge the gap between data science and strategic decision-making. As data continues to drive modern business practices, the demand for professionals who can turn raw information into actionable insights remains strong, making this field highly attractive for long-term career growth.

Key features of the Curriculum

• Flexible Duration and Structure: The curriculum offers a flexible duration of three to four years, divided into 6 or 8 semesters, with multiple entry and exit points. This structure accommodates a broad range of student needs and learning paces, providing certificates and diplomas at various stages.
• Comprehensive Credit Distribution: The curriculum encompasses a total of 125 credits for the 3-year program and 165 credits for the 4-year (Honours and Honours with Research) programs. It includes a balanced mix of Humanities & Social Science Courses, Management Courses, Program Core and Elective Courses, Open Electives, and a significant emphasis on hands-on learning through Projects, Seminars, and Internships.
• Innovative Course Structure: The curriculum envisages connect of core subjects with NEP and SEP and its encompassing elements such as Holistic and Integrated Education, 21st Century Skills, Flexibility and Choice, Environmental Awareness, Value Based Education, Emphasis on Innovation, Understanding Human Behaviour, Empathy and Social Awareness. The fundamentals will provide the requisite robust grounding in management/business, the liberal arts subjects would help in furthering that grounding and enable pluggability into international higher education systems (from exchange and dual degree perspectives) and the elements of sustainability, technology and behavioural sciences will ensure holistic development in synch with NEP and SEP.
• Specializations and Practical Exposure: Students will have the opportunity to specialize in emerging areas of Data Analytics and Business Intelligence through Core and Electives and gain practical experience through structured internships and project work. This practical exposure is designed to enhance employability and entrepreneurial capabilities.
• Research Orientation for Honours Students: The BCA (Honours with Research) in 4th Year offers a unique pathway for students interested in academic and research careers. With a focus on advanced data analysis, research methodology, and a dissertation, this track prepares students for challenges in academia and industry research roles. It will also give students an opportunity to pave their path to higher education in management and technical fields.