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)

Programme Specific Outcomes (PSO)

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

Semester II

Semester III

Semester IV

Semester V

Semester VI