Welcome To B. K. Birla College of Arts, Science & Commerce, Kalyan
B.Sc. AI, Robotics & Automation
B.Sc. AI, Robotics & Automation
The Bachelor of Science (B.Sc.) in Artificial Intelligence, Robotics & Automation is an interdisciplinary undergraduate program designed to prepare students for the rapidly evolving landscape of intelligent systems and smart technologies. The program integrates core concepts of computer science, artificial intelligence, machine learning, automation, electronics, and robotics, enabling learners to develop both theoretical knowledge and practical skills required by modern industries.
With the growing adoption of AI-driven solutions, autonomous systems, and intelligent automation across sectors such as manufacturing, healthcare, transportation, agriculture, and smart infrastructure, this course aims to build a strong foundation in algorithmic thinking, data-driven decision making, embedded systems, and robotic control. Emphasis is placed on hands-on learning through laboratories, projects, simulations, and real-world problem solving.
Key Information
Eligibility
- A candidate for being eligible for admission to the degree course of Bachelor of Science-AI, Automation and Robotics, shall have passed XII standard examination of the Maharashtra Board of Higher Secondary Education or its equivalent with Mathematic and Statistics as one of the subjects and should have secured not less than 45% marks in aggregate for open category and 40% marks in aggregate in case of Reserved category candidates.
- Candidate who has passed Diploma (Three years after S.S.C. – Xth Std.) in Information Technology/ Computer Technology/ Computer Engineering/Computer Science/ Electrical, Electronics and Video Engineering and Allied Branches/Mechanical and Allied Branches/ Civil and Allied branches are eligible for direct admission to the Second Year of the B.Sc. (AI, Robotics & Automation) degree course.
Duration
3 / 4 Years
Programme Code
Course Type
Bachelor Degree
Curriculum
Semester - I
| Sr. No. | Course Code | Course Title | L | T | P | Credit |
|---|---|---|---|---|---|---|
| 1 | MAJOR | Programming Fundamentals for AI Systems | 2 | - | - | 2 |
| 2 | MAJOR PR | Practical | - | - | 2 | 1 |
| 3 | MAJOR | Computer Organization & Architecture (AI-aware Foundations) | 2 | - | Â | 2 |
| 4 | MAJOR PR | Practical | Â | - | 2 | 1 |
| 6 | MINOR | Mathematical Foundations for Computing & Data | 2 | - | Â | 2 |
| 7 | MINOR PR | Practical | - | - | 2 | 2 |
| 8 | VSC | Analog & Digital Electronics Lab | - | - | 2 | 2 |
| 9 | SEC | Services & Automation Basics | 2 | - | - | 2 |
| 10 | AEC | Effective Business Communication I | 2 | - | - | 2 |
| 11 | VEC | Environmental Studies I | 2 | - | - | 2 |
| 12 | IKS | Indian Knowledge System | 2 | - | - | 2 |
| TOTAL | 22 | |||||
Course Outcomes (CO)
Semester - II
| Sr. No. | Course Code | Course Title | L | T | P | Credit |
|---|---|---|---|---|---|---|
| 1 | MAJOR | Data Structures for Intelligent Systems | 2 | - | - | 2 |
| 2 | MAJOR PR | Practical | - | - | 2 | 1 |
| 3 | MAJOR | Operating Systems & Automation Foundations | 2 | - | Â | 2 |
| 4 | MAJOR PR | Practical | Â | - | 2 | 1 |
| 6 | MINOR | Mathematical Foundations for AI & Analytics | 2 | - | Â | 2 |
| 7 | MINOR PR | Practical | - | - | 2 | 2 |
| 8 | VSC | Python Programming for Data Tasks | - | - | 2 | 2 |
| 9 | SEC | Introduction to Embedded & Sensor Systems | 2 | - | - | 2 |
| 10 | AEC | Effective Business Communication II | 2 | - | - | 2 |
| 11 | VEC | Environmental Studies II | 2 | - | - | 2 |
| 12 | CC | Foundation Course in Yoga/Foundation Course in Physical Education | 2 | - | - | 2 |
| TOTAL | 22 | |||||
Course Outcomes (CO)
Semester - III
Course Outcomes (CO)
Semester - IV
Course Outcomes (CO)
Semester - V
Course Outcomes (CO)
Semester - VI
| Sr. No. | Paper | Title of Paper | Course Code | Credits |
|---|---|---|---|---|
| 1. | Security in Computing | BUSIT62 | 5 | |
| 2. | Business Intelligence | BUSIT63 | 5 | |
| 3. | Linux System Administration | BUSIT64 | 5 | |
| 4. | Principles of Geographic Information Systems | BUSIT65 | 5 | |
| 5. | Project Implementation | BUSIT6P1 | 5 | |
| Total Credits offered by Dept. of Information Technology | 5 | |||
Course Outcomes (CO)
| Course Code | Title of Course | Course Outcome |
|---|---|---|
| BUSIT62 | Security in Computing |
CO1 Understanding cryptography, various security policies and protocols. CO2 Analyze and evaluate the cyber security needs of an organization. CO3 Determine and analyze software vulnerabilities and security solutions to reduce the risk of exploitation. CO4 To learn about how to maintain the Confidentiality, Integrity and Availability of data. CO5 To understand various protocols for network security to protect against the threats in the networks. |
| BUSIT63 | Business Intelligence |
CO 1 Understanding the framework of computerized decision support systems, data analytics. CO 2 Introduces the need for computerized support for managerial decision making. CO 3 Define the role of data warehouse in decision support and role of methodologies in BPM. CO4 Emphasizes the concept of the process of carrying out a text mining. CO 5 Introduce the needs for connecting BI system with other information systems. |
| BUSIT64 | Linux System Administration |
CO 1 Make appropriate decisions during the configuration process to create a properly functioning Linux environment. CO 2 Use programs and utilities to administer a Linux machine. CO 3 Explain how a Linux server can be integrated within a multi-platform environment. CO 4 Understand the basic set of commands and editors in Linux Operating System. CO 5 Discuss shell programming in Linux operating system CO 6 Demonstrate the role and responsibilities of a Linux system administrator. |
| BUSIT65 | Principles of Geographic Information Systems |
CO 1 Explore mapped data. CO 2 Relate GIS with remote sensing technologies. CO 3 Analyze spatial data, using GIS analysis tools CO 4 Develop and manage geodatabase CO 5 Functions of geographic information systems. |
| BUSIT6P1 | Project Implementation |
CO1 To help students plan projects by identifying problems and defining requirements. CO2 To enable students to design system architecture and technical specifications. CO3 To develop skills in implementing solutions using suitable technologies and tools. CO4 To train students in software testing, validation, and quality assurance. CO5 To enhance documentation, presentation, teamwork, and project management skills. |
Expert Faculty
Ms. Prachi Adiraj
Program Outcome (PO)
PO-1 : Fundamental Knowledge
Apply core concepts of mathematics, computer science, electronics, artificial intelligence, automation, and robotics to solve real-world problems.
PO-2 : Problem Analysis
Analyze complex engineering and computational problems using logical reasoning, data interpretation, and algorithmic thinking to identify effective solutions.
PO-3 : Design & Development of Solutions
Design, develop, and implement AI-based models, automated systems, and robotic applications that meet specified technical, safety, and societal requirements.
PO-4 : Programming & Tool Usage
Demonstrate proficiency in programming languages, AI frameworks, simulation tools, embedded platforms, and automation software for system development and testing.
PO-5 : Data & Intelligence Skills
Apply machine learning, data analytics, and intelligent decision-making techniques to extract insights and improve system performance.
PO-6 : Experimentation & Investigation
Conduct experiments, simulations, and testing of AI and robotic systems; analyze results and draw valid conclusions using scientific methods.
PO-7 : Automation & Control Systems
Understand and apply principles of sensors, actuators, control systems, PLCs, and industrial automation in smart and autonomous environments.
PO-8 : Career & Entrepreneurship Readiness
Demonstrate readiness for employment, higher studies, research, or entrepreneurship in AI, automation, robotics, and allied domains.
Programme Specific Outcomes (PSO)
PSO1 : AI Programming and Data Intelligence
Apply programming skills, data structures, mathematical foundations, and AI tools to develop intelligent applications capable of data processing, analysis, and decision-making.
PSO2 : Robotics and Automation Systems Development
Design, implement, and evaluate automation and robotic solutions using sensors, embedded systems, control mechanisms, digital electronics, and operating system concepts for real-world applications.
PSO3 : Intelligent System Design and Integration
Integrate computing, electronics, artificial intelligence, and automation technologies to develop smart systems for industrial, healthcare, manufacturing, and service-sector applications.
PSO4 : Data-Driven Problem Solving
Utilize mathematical modeling, data analytics, machine learning fundamentals, and computational techniques to solve complex problems in intelligent and autonomous systems.
PSO5 : Innovation, Ethics, and Professional Practice
Demonstrate ethical, sustainable, and responsible use of AI and automation technologies while exhibiting professional competence, teamwork, entrepreneurship, and lifelong learning skills.
PSO6 : Industry Readiness and Emerging Technologies
Employ modern AI frameworks, automation platforms, digital tools, and emerging technologies to meet industry requirements and pursue higher studies, research, or entrepreneurial ventures in AI, Robotics, and Automation. Top of Form
Programme Objectives
- Provide a strong foundation in c, mathematics, electronics, artificial intelligence, robotics, and automation principles required for intelligent system development.
- Develop programming, computational thinking, and problem-solving skills to design efficient software solutions for AI-driven applications.
- Equip students with knowledge of data structures, operating systems, embedded systems, sensors, control systems, and automation technologies.
- Foster the ability to design, develop, and deploy intelligent, autonomous, and data-driven systems using modern AI and automation tools.
- Enable students to analyze, model, and solve real-world problems through mathematical reasoning, data analytics, and machine learning techniques.
- Provide hands-on experience through laboratory work, projects, simulations, and industry-oriented applications in robotics and automation.
- Promote innovation, creativity, and research aptitude for developing smart solutions that address societal, industrial, and technological challenges.
Career Options
- Artificial Intelligence & Data Science
- Robotics & Automation
- Software & Intelligent Systems
- Embedded Systems & IoT
- Manufacturing & Industry 4.0
- Research & Innovation
