BCA Analytics
Programme Overview
The Bachelor of Computer Applications in Analytics Programme 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 over four years 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, preparing graduates for diverse roles such as data analyst, business analyst, process automation developer, data engineer, BI specialist, and data scientist in sectors spanning IT, finance, healthcare, and consulting, with ample scope for higher studies and professional certifications.
The BCA Programme is a four-year degree programme, wherein a student, after successful completion, will be awarded an Honours degree. However, a student has the option to exit the programme after successful completion of the first three years. In such a case, the student will be awarded a Bachelor’s degree.
Eligibility Criteria
Any candidate who has passed PUC/10+2/ equivalent in Computer Science, Mathematics or statistics securing a minimum of 40% of marks is eligible.
Programme Outcomes (PO)
- PO1: apply critical inquiry, innovative thinking and evidence-based research to solve complex problems.
- PO2: formulate informed decisions based on factual evidence and reasoned judgement.
- PO3: demonstrate professional competencies, ethical conduct, emotional intelligence and fluency in emerging technologies in a dynamic global environment.
- PO4: Exhibit self-discipline, autonomy, responsibility and accountability for personal well-being and a commitment to lifelong learning.
- PO5: Lead and communicate with multi-cultural teams, demonstrating empathy and mutual respect in the workplace and public sphere.
- PO6: Involve in community development for nation-building by advocating sustainable practices, embodying Indian ethos and upholding universal human values.
Programme Specific Outcomes (PSO)
- PSO1: demonstrate knowledge of programming, databases, data analytics, visualisation, storytelling, quantitative methods and techniques.
- PSO2: Apply tools for descriptive, diagnostic, predictive and prescriptive analytics.
- PSO3: Develop dashboards to identify patterns and derive insights using data visualization tools.
- PSO4: Formulate data-driven solutions based on systematic research.
Programme Matrix – BCA Analytics [NEP 2025 Onwards]
| Semester | Course Title | Course Type | Credits |
| I | C Programming | DSC | 4 |
| I | C Programming Practical | DSC | 2 |
| I | Relational Database Management System | DSC | 4 |
| I | Relational Database Management System Practical | DSC | 2 |
| I | Computing and Programming Fundamentals | DSC | 4 |
| I | C Programming | ||
| II | Data Structures | DSC | 3 |
| II | Data Structures Practical | DSC | 1 |
| II | Python Programming | DSC | 3 |
| II | Python Programming Practical | DSC | 1 |
| II | Computational Mathematics | DSC | 3 |
| II | Data Literacy | DSC -CC | 2 |
| II | Multidisciplinary Course | MDC | 3 |
| II | Web Development Workflow | SEC | 3 |
| III | Object Oriented Programming with Java | DSC | 3 |
| III | Object Oriented Programming with Java Practical | DSC | 1 |
| III | Operating System and Linux | DSC | 3 |
| III | Operating System and Linux Practical | DSC | 1 |
| III | Probability and Statistics | DSC | 3 |
| III | NPTEL | SEC | 3 |
| III | Multidisciplinary Course | MDC | 3 |
| III | Value-Added Course (VAC) | VAC | 2 |
| IV | Software Engineering | DSC | 3 |
| IV | Software Engineering Practical | DSC | 1 |
| IV | Data Warehousing and Data Mining | DSC | 3 |
| IV | Data Warehousing and Data Mining Practical | DSC | 1 |
| IV | Computer Networks | DSC | 3 |
| IV | Business Analyst | DSC-CC | 2 |
| IV | Minor Project-I | DSC-MP | 2 |
| IV | Skill Enhancement Course | SEC | 3 |
| IV | Multidisciplinary Course | MDC | 3 |
| IV | Value-Added Course (VAC) | VAC | 2 |
| V | Full Stack Development | DSC | 4 |
| V | Full Stack Development Practical | DSC | 2 |
| V | Business Intelligence | DSC | 4 |
| V | Business Intelligence practical | DSC | 2 |
| V | Research Methodology | DSC | 4 |
| V | Cloud Analytics | DSC | 4 |
| V | Minor Project-II | DSC MP | 2 |
| V | Internship | 2 | |
| VI | Natural Language Processing | DSC | 4 |
| VI | Natural Language Processing Practical | DSC | 2 |
| VI | Analytics Platform administration and governance | DSC | 4 |
| VI | Analytics Platform administration and governance | DSC | 2 |
| VI | Statistical Analysis Using SPSS | DSC | 4 |
| VI | Data Architect | DSC CC | 2 |
| VI | Project Capstone | DSE | 4 |
Key Courses
Semester I
- C Programming
- RDBMS
Semester II
- Data Structures
- Python Programming
- Computational Mathematics
- Web Development Workflow
- Qlik Data Literacy
Semester III
- Object-Oriented Programming with Java
- Operating System & Linux
- Probability & Statistics
- NPTEL Certification
Semester IV
- Software Engineering
- Data Warehousing & Data Mining
- Computer Networks
- Qlik Business Architect
Semester V
- Full Stack Development
- Business Intelligence
- Research Methodology
- Cloud Analytics
Semester VI
- Natural Language Processing
- Analytics Platform Administration & Governance
- Statistical Analysis using SPSS
- Qlik Data Analyst
- Qlik Capstone Project