Bachelor of Computer Application (Full Stack/AIML)

Bachelor of Computer Application (Full Stack Development/ AIML)

Duration - 4 Years

ALARD School of Business Management

Overview

The Bachelor of Computer Applications (BCA) program at ASBM is a comprehensive undergraduate course designed to provide students with a strong understanding of computer science, software development, and modern IT applications. The program blends theoretical knowledge with practical exposure to ensure students are well-prepared for careers in the rapidly evolving technology industry. With a focus on essential programming languages like Python and Java, as well as emerging areas such as Artificial Intelligence, Data Science, and Power BI, the program prepares graduates for entry-level roles across various sectors, including IT services, business intelligence, and data analytics.

Bachelor of Computer Application (AIML/ Full Stack Development)

Bachelor of Computer Applications is a 4 year course aligned with National Education Policy (NEP) guidelines, with provision for Integrated MCA program, covers essential topics in computer fundamentals, programming, operating systems, mathematics, ethics, and various specialized areas. BCA program equips the students with essential skills and knowledge required and the rapidly evolving IT industry. BCA curriculum covers a wide range of core and elective subjects providing insights into their significance and how they contribute to students’ overall development. These subjects not only focus on theoretical concepts but also emphasize practical applications to tackle real-world challenges.

BCA - Artificial Intelligence and Machine Learning (AI & ML)

Programme Overview

The Artificial Intelligence and Machine Learning (AI & ML) specialization for the BCA programme is designed to provide undergraduate students with a strong foundation in intelligent systems and data-driven technologies. The programme focuses on developing core computational thinking, analytical skills, and practical expertise required to design and implement AI-enabled solutions. It prepares BCA graduates to meet the growing demand for AI professionals across various industries.

Programme Objectives and Outcomes

The primary objective of the programme is to equip BCA students with essential knowledge and practical skills in Artificial Intelligence and Machine Learning. Students will learn to analyze data, design algorithms, develop machine learning models, and apply ethical AI practices. Upon completion, graduates will be able to build, evaluate, and deploy basic to intermediate AI and ML solutions for real-world applications.

Key Features

Curriculum Highlights and Pedagogy

The curriculum includes fundamental and applied topics such as machine learning basics, deep learning concepts, natural language processing, computer vision, data analytics, and an introduction to reinforcement learning. Teaching methodologies include project-based learning, laboratory sessions, case studies, hackathons, and research-oriented assignments to enhance problem-solving, creativity, and innovation among BCA students.

Career Prospects and Employability Focus

BCA graduates specializing in AI & ML can pursue entry-level roles such as Junior AI Developer, Machine Learning Engineer (Trainee), Data Analyst, AI Research Assistant, and Technical Associate. The programme emphasizes employability through skill-based training, continuous evaluation, and exposure to real-world problem-solving aligned with industry expectations.

Industry Linkage, Internships, Training, and Placements

The programme promotes industry interaction through internships, industrial training, guest lectures by industry experts, and live projects. Dedicated placement support includes resume preparation, technical skill enhancement, mock interviews, and career counselling to help students smoothly transition into AI-driven professional roles.

BCA - Full Stack Development

Programme Overview

The Full Stack Development programme for the Bachelor of Computer Applications (BCA) is designed to provide students with a strong foundation in designing, developing, and deploying modern web-based applications. The programme equips learners with essential front-end and back-end development skills, enabling them to understand the complete application development lifecycle. Emphasis is placed on building practical, industry-relevant competencies that prepare students to meet current technological and professional demands.

Programme Objectives and Outcomes

The primary objective of the Full Stack Development programme for BCA students is to develop competent and job-ready developers with a comprehensive understanding of web technologies, application architecture, databases, and server-side programming.

Upon successful completion of the programme, BCA learners will be able to:

Key Features

Curriculum Highlights and Pedagogy

The curriculum introduces students to core programming concepts and progressively advances toward full stack development skills. It covers front-end technologies, backend systems, database management, APIs, testing, and basic deployment concepts.

The teaching methodology combines:

Continuous evaluation through assignments, lab work, and project assessments ensures both conceptual clarity and practical proficiency.

Full Stack Development Concepts for BCA Students

Full Stack Development provide opportunity for BCA Students to understand the concept of:

Career Prospects and Employability Focus

Graduates of the BCA Full Stack Development programme are prepared for entry-level roles such as:

The programme emphasizes employability by strengthening technical skills, logical reasoning, coding standards, and professional development practices.

Industry Linkage, Training, and Placements

Where applicable, the programme incorporates industry interaction through expert lectures, workshops, internships, and practical training sessions. These initiatives expose students to real-world development environments, helping bridge the gap between academic learning and industry expectations, and enhancing overall job readiness.

Salient Features of the Program

70% Practical, 30% Theory: This structure ensures that students gain the necessary technical skills to handle real-world projects while building a solid theoretical foundation in computer science concepts.
Emerging Technologies Focus: The program integrates courses on Python, Java, AI, Data Science, and Power BI, making it highly relevant in the rapidly advancing tech landscape.
Project-Based Learning: Students actively participate in real-time software development projects, data analytics tasks, and AI-based problem-solving, offering them hands-on experience.
Industry Collaboration: Collaborations with top IT companies and tech experts help students stay updated on industry trends and practices.
Placement Assistance: The program offers robust placement support with active assistance in securing internships and final placements at leading IT companies.
Expert Faculty:The faculty consists of professionals with both academic qualifications and industry experience, ensuring that students receive practical and up-to-date knowledge.
Specialization in High-Demand Skills: The curriculum includes specialized subjects such as Data Science, Artificial Intelligence, and Power BI, ensuring students are ready for high-demand roles in the IT sector.

PROGRAM Structure

Bachelor of Computer Application (Full Stack Development/ AIML):

Semester - I
Business Communication
Principle of Management
Business Mathematics
Database Management System
C Programming
Skill Enhancement Course: Communication Skill
Ability Enhancement Course: Data Analytics using MS-Excel
Practical: C Programming & DBMS

Semester - II
Organizational Behavior
Financial Accounting
Business Statics
Web Technology
RDBMS
Skill Enhancement Course: React JS
Ability Enhancement Course: Data Analytics using MS-Excel
Practical: Web Technology & RDBMS

Semester - III
Social Media Marketing
Data Structure
PHP
Big Data
Block Chain
Skill Enhancement Course: Django
Ability Enhancement Course: Advanced Excel
Practical: DS, PHP, Big Data

Semester - IV
Cryptography
Advanced Software Engineering
CPP
Advanced PHP
Project
Skill Enhancement Course: Angular
Ability Enhancement Course: Agile Methodology
Practical: CPP & Adv. PHP

Semester - V
Cyber Security
OOSE
Python
Core Java
Project
Skill Enhancement Course: Power BI
Ability Enhancement Course: Introduction to Machine Learning
Practical: Python & Core Java

Semester - VI
Recent Trade in IT
Software Testing
Advanced Java
Introduction to Data Science
Project
Skill Enhancement Course: Tableau
Ability Enhancement Course: Introduction to Deep Learning
Practical: Adv. Java & DS

Eligibility

Eligibility Criteria for Indian Nationals

Maharashtra State Candidature Candidates, Must be an Indian citizen. Passed 10+2 (HSC) or equivalent. Minimum Marks: 45% (General Category), 40% (Backward Class / EWS / PwD – Maharashtra State only), MAH-BCA/BBA/BMS/BBM CET/CUET (UG) or any other conducted by the Competent Authority.
All India Candidature & UT of J&K / UT of Ladakh Migrant Candidates, Must be an Indian citizen. Passed 10+2 (HSC) or equivalent with minimum 45% marks. Obtained non-zero positive score in: CUET (UG), or MAH-BCA/BBA/BMS/BBM CET or any other conducted by the Competent Authority.