Home / School of Computational & Physical Sciences / Department of Computer Applications / BCA Analytics
The Bachelor of Computer Applications in Analytics at Kristu Jayanti University is a future-focused undergraduate degree that integrates computer science, data analytics, and process automation to prepare students for technology-driven careers. Structured as a four-year Honours degree, the programme builds a strong foundation in programming, data management, statistical modelling, and business analytics while introducing automation tools and technologies that streamline real-world processes.
With hands-on experience using Python, R, modern databases, Tableau, Power BI, UiPath, Celonis, and Qlik, students gain practical exposure to data-driven decision-making and intelligent automation. Industry collaborations and certifications through partners like Salesforce, Oracle, AWS Academy, Celonis, Qlik and UiPath strengthen professional readiness. The programme emphasises experiential learning, innovation, and analytical thinking. After successful completion of four years, students are awarded an Honours degree; they may exit after three years with a Bachelor’s degree.
Integrates computer science, data analytics and process automation for technology-driven careers.
Hands-on with Python, R, modern databases, Tableau, Power BI, UiPath, Celonis and Qlik; certifications via Salesforce, Oracle, AWS Academy and more.
Four-year Honours degree with the option to exit after three years with a Bachelor’s degree.
A specialised 3-year programme integrating computing, statistical analysis, and machine learning to build high-demand expertise in data analytics.
Programme Title: Bachelor of Computer Applications (BCA) – Analytics
Specialization: Analytics
Duration: 3 Years
Study Mode: Full Time
Core Academic Focus Areas: Programming, Data Structures, Database Management, Statistics for Computing, Data Analytics, Data Visualization, Business Intelligence, Data Mining, Machine Learning, Artificial Intelligence, Big Data Analytics and Predictive Analytics
Practical: Programming and Analytics Labs, Database and Data Mining Labs, Data Visualization, Machine Learning Practical, Analytics Projects, Workshops and Industry-Oriented Hands-on Training
Learning Pathway: A progressive pathway from foundational computing and statistics to advanced analytics, machine learning and AI, supported by electives, industry certifications, internships, live projects, hackathons and expert-led learning
Review the mandatory academic qualifications and minimum score criteria required for admission.
Any candidate who has passed PUC/10+2/equivalent in Computer Science, Mathematics or Statistics, securing a minimum of 40% marks, is eligible.
Looking for a programme that matches your interests?
Find Programmes by InterestTargeted competencies and practical mastery achieved by graduates throughout their academic journey.
PSO1: Strong foundation in programming, data management, statistical modelling and business analytics.
PSO2: Hands-on with Python, R, modern databases, Tableau, Power BI and related analytical ecosystems.
PSO3: Exposure to automation tools such as UiPath, Celonis and Qlik for intelligent process and data workflows.
PSO4: Professional readiness through collaborations and certifications with Salesforce, Oracle, AWS Academy, Celonis, Qlik and UiPath.
PSO5: Practical exposure to data-driven decision-making and intelligent automation through projects and experiential learning.
PSO6: Preparation for data analyst, business analyst, RPA, BI and data science roles, with scope for higher studies and professional certifications.
Key strengths, experiential learning, and strategic career advantages offered by the programme.
Organisations need professionals who can analyse data and automate processes. A BCA focused on analytics and automation builds that combination of computing, statistical modelling and tool-based practice.
BCA Analytics at Kristu Jayanti integrates programming, data management, business analytics and process automation tools, with industry partnerships and certifications that strengthen professional readiness for IT, finance, healthcare and consulting roles.
Choosing this programme enables students to:
With analytics and automation at the core, graduates are prepared for data-driven and process-intelligent careers and for higher studies and professional certifications.