This is a unique program that combines the fields of computer science, mathematics and statistics. The objective of this program is to prepare students to analyze data effectively and enable data-driven decisions. The program provides students with the training they need in data collection, exploration, manipulation and storage, analysis, and presentation in order to navigate data-rich workplace environments. It enhances the mathematical, analytical and technical skills to interpret and understand big complex data sets and their relevance to real-life decisions. The industry-oriented curriculum equips the students with hands-on training in the fields of Knowledge discovery, Data analytics, Artificial Intelligence, Machine learning, Deep Learning, Natural Language Processing, programming and visualization tools.
Programme Overview
This is a unique program that combines the fields of computer science, mathematics, and statistics. The objective of this program is to prepare students to analyze data effectively and enable data-driven decisions. The program provides students with the training they need in data collection, exploration, manipulation and storage, analysis, and presentation in order to navigate data-rich workplace environments. It enhances the mathematical, analytical, and technical skills to interpret and understand big, complex data sets and their relevance to real-life decisions. The industry-oriented curriculum equips the students with hands-on training in the fields of knowledge discovery, data analytics, artificial intelligence, machine learning, deep learning, natural language processing, programming, and visualization tools.
Course Curriculum
01Applied Mathematics - MAT1201
02Problem Solving using C - CSA1500
03Problem Solving using C Lab - CSA1501
04Digital Computer Fundamentals - CSA1200
05Web Design and Development - CSA1502
06Foundations of English Communication - ENG1902
07Introduction to Soft Skills - PPS1001
01Programming in Python - CSA1503
02Statistical Methods and Techniques - MAT1202
03Data Structures - CSA2500
04Data Structures Lab - CSA2501
05Essentials of Writing Skills - ENG1913
06Computer Networks - CSA2502
07Computer Organization - CSA1201
08Design Thinking and Innovation - CSA1204
01Relational Database Management Systems - CSA2503
02Relational Database Management Systems Lab - CSA2504
03Object Oriented Programming using Java - CSA1504
04Analysis of Algorithms - CSA2505
05Operating Systems and Unix Programming - CSA2506
06Operating Systems and Unix Programming Lab - CSA2507
07Software Engineering - CSA1202
08Essentials of Cloud Computing - CSA1700
09Environmental Studies - CHE7601
01Artificial Intelligence - CSA1701
02Android Mobile Application Development - CSA2511
03Machine Learning Algorithms - CSA2517
04Machine Learning Algorithms Lab - CSA2518
05Database System Administration - CSA2519
06Discipline Specific Elective– I - CSAXXXX
07Discipline Specific Elective– II - CSAXXXX
08Problem Solving through Aptitude - PPS3001
09Indian Constitution - LAW7601
01Deep Learning - CSA2512
02Computer Vision - CSA2513
03Discipline Specific Elective– IV - CSAXXXX
04Discipline Specific Elective– V - CSAXXXX
05Discipline Specific Elective– VI - CSAXXXX
06Internet of Things - CSA2212
07Multi-Disciplinary Elective – I - CSAXXXX
08Summer Internship - CSA7000
01Deep Learning Lab - CSA2514
02Virtualization and Cloud Infrastructure - CSA2520
03User Interface Design - CSA2211
04Discipline Specific Elective – VI - CSAXXXX
05Project - CSA7300
Programme Educational Objectives
After 2-3 years of successful completion of the programme, graduates will:
PEO01: Establish themselves as competent professionals or pursue higher education by applying technical knowledge, analytical thinking, and problem-solving skills in the field of computer applications.
PEO02: Demonstrate ethical responsibility, strong communication skills, and a commitment to lifelong learning by adapting to emerging technologies and evolving industry practices.
PEO03: Lead and contribute to project teams in designing and implementing innovative software solutions that support organisational and societal needs.
Programme Outcomes (POs)
On successful completion of the Program, the students shall be able to:
PO1 (Foundation Knowledge): Apply knowledge of mathematics, programming logic and coding fundamentals for solution architecture and problem solving.
PO2 (Problem Analysis): Identify, review, formulate and analyse problems, primarily focusing on customer requirements using critical thinking frameworks.
PO3 (Development of Solutions): Design, develop and investigate problems with an innovative approach for solutions incorporating ESG/SDG goals.
PO4 (Modern Tool Usage): Select, adapt and apply modern computational tools, such as developing algorithms with an understanding of the limitations, including human biases.
PO5 (Individual and Teamwork): Function and communicate effectively as an individual or a team leader in diverse and multidisciplinary groups. Use methodologies such as agile.
PO6 (Project Management and Finance): Use the principles of project management such as scheduling, work breakdown structure and be conversant with the principles of Finance for profitable project management.
PO7 (Ethics): Commit to professional ethics in managing software projects with financial aspects. Learn to use new technologies for cybersecurity and insulate customers from malware.
PO8 (Life-long learning): Change management skills and the ability to learn, keep up with contemporary technologies and ways of working.
Programme Specific Outcomes
On successful completion of the programme, students shall be able to:
PSO1: Design and develop software solutions for complex real-world problems in specialised domains such as Full-Stack Development, Artificial Intelligence, and Cybersecurity by applying software engineering principles and advanced programming skills.
PSO2: Identify, analyse and implement use cases across diverse sectors, including Healthcare, Agriculture, Banking, and Insurance, by utilising modern tools, effective teamwork, and project management practices.
PSO3: Demonstrate professional ethics, embrace lifelong learning of emerging technologies, and actively contribute to the field of computer applications.
Future-Focused Curriculum – Covers AI concepts, neural networks, deep learning, and automation technologies for cutting-edge AI careers.
Diverse Career Paths – Prepares students for roles like AI Researcher, Software Engineer, Robotics Developer, AI Application Developer, and Predictive Analyst.
Industry-Relevant Skills – In-depth training in Natural Language Processing (NLP), AI-powered algorithms, TensorFlow, and advanced programming.
Hands-on Learning – Real-world AI projects, internships with tech giants, and research collaborations to ensure industry readiness.
Career Opportunities
AI Engineer
Design and develop artificial intelligence systems and solutions.
Machine Learning Engineer
Build machine learning models and algorithms for data-driven insights.
Data Scientist
Analyze and interpret complex data using advanced techniques to inform decision-making.
Deep Learning Specialist
Develop and optimize deep learning models for complex data analysis.
Natural Language Processing (NLP) Engineer
Enhance human-computer interaction using language processing techniques.
Computer Vision Engineer
Develop systems that interpret and understand visual data from the world.
Robotics Process Automation (RPA) Developer
Design and implement automated processes for businesses using robotic technology.
AI Researcher
Conduct research to push the boundaries of artificial intelligence technologies.
AI Consultant
Advise businesses on how to implement AI solutions for optimization and growth.
Algorithm Developer
Create and optimize algorithms to solve complex problems efficiently.
Your Next Move Awaits
Begin an extraordinary journey with Presidency University.
A BCA in Artificial Intelligence (Bachelor of Computer Applications with a specialization in AI) is a 3-year undergraduate program that blends core computer science education with specialized training in AI technologies. It is designed to equip students with the skills needed to build intelligent software systems and applications that can learn, adapt, and make decisions.
Entry‑level salary for BCA graduates is in between ₹4 to ₹8 LPA.
If you are looking for career flexibility, BCA provides a broad IT foundation with optional AI. Whereas BCA AI is a specialised programme with a deeper focus on AI & ML, which is focused for a AI focused career path.
Candidates who mave passed 10+2 or an equivalent examination from any recognized board with a minimum of 40 % marks in aggregate is eligibile to apply for BCA AI.
+91 9022092222
admission@presidencyuniversity.in
Rajanukunte, Yelahanka, Bengaluru, Karnataka, Pin: 560119, India
+91 9022092222