SET-04
Under Graduation
4 Years
Programme overview
The B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is a future-ready four-year undergraduate programme designed to prepare students for careers in the rapidly evolving digital economy. Aligned with NEP 2020 and industry requirements, the curriculum combines core computer science with Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Natural Language Processing, Computer Vision, Cloud Computing, MLOps, Cyber Security, and Generative AI. Students develop strong programming, analytical, and problem-solving skills through project-based learning, modern laboratories, internships, hackathons, and industry collaborations. The programme emphasizes responsible AI, software engineering, mathematical foundations, and the development of intelligent systems capable of solving real-world problems. Learners gain exposure to emerging technologies such as Large Language Models, AI Agents, Edge AI, Internet of Things, and intelligent automation while building practical applications using contemporary tools and frameworks. The curriculum also promotes innovation, research, entrepreneurship, communication, leadership, and ethical decision-making to create globally competent professionals. Graduates are equipped to design, develop, deploy, and manage AI-powered solutions across healthcare, finance, manufacturing, education, retail, agriculture, smart cities, and other sectors. With a strong balance of theoretical knowledge and hands-on experience, the programme prepares students for successful careers, higher education, professional certifications, research, and technology-driven entrepreneurship in the era of intelligent computing.
Program Objectives
- Provide a strong foundation in computer science, mathematics, and software engineering.
- Develop expertise in Artificial Intelligence, Machine Learning, Data Science, and Generative AI.
- Enable students to design, develop, and deploy intelligent software solutions.
- Promote innovation, research, entrepreneurship, and multidisciplinary problem-solving.
- Instill ethical, secure, and responsible AI practices.
- Prepare graduates for industry, higher education, and lifelong learning.
Program Outcomes
- Apply computing and engineering principles to solve complex problems.
- Design and develop AI- and ML-enabled applications using modern tools.
- Analyze data and build predictive intelligent models.
- Deploy scalable AI applications on cloud platforms.
- Work effectively in multidisciplinary teams with professional communication skills.
- Demonstrate ethics, sustainability, and responsible AI practices.
- Engage in research, innovation, and entrepreneurship.
- Adapt to emerging technologies and continuous learning.
Career Path
Graduates can pursue careers in leading technology companies, research organizations, start-ups, consulting firms, and government sectors as:
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- Generative AI Engineer
- LLM Application Developer
- AI Agent Developer
- Computer Vision Engineer
- NLP Engineer
- MLOps Engineer
- Cloud AI Engineer
- Software Engineer
- Data Engineer
- Business Intelligence Analyst
- AI Research Associate
- Technology Consultant
- Entrepreneur
- Higher Studies (M.Tech., MS, MBA, Ph.D.)
Eligibility Criteria
Minimum percentage and others criteria for admission will be as per UGC/ Concerned Regulatory Bodies.
Provided below are the criteria that need to be met for the given course.
For National Students
- The Candidate should have passed 10+2 examination with Physics, Mathematics and English as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/Technical Vocational subject.
- B Tech 2nd year (LEET): Diploma Engineering and Technology OR B.Sc. Degree and 10+2 with Mathematics OR Passed D.Voc. Stream in the same or allied sector.
For International Students
- Rule framed by University Grants Commission (UGC) and notified in its website www.ugc.ac.in will be followed for deciding the eligibility and admission of International students to various courses offered in Om Sterling Global University, Hisar.
Programme Syllabus
Semester I
| S.No. | Subject |
|---|---|
| 01. | Engineering Physics |
| 02. | Engineering Mathematics-I |
| 03. | Basic Electrical Engineering |
| 04. | Python Programming |
| 05. | Engineering Physics-Practical |
| 06. | Basic Electrical Engineering-Practical |
| 07. | Engineering Graphics & Design |
| 08. | Python Programming-Practical |
Semester II
| S.No. | Subject |
|---|---|
| 01. | Computational Thinking |
| 02. | Engineering Chemistry |
| 03. | Engineering Mathematics-II |
| 04. | Object Oriented Programming for Problem Solving |
| 05. | Computational Thinking -Practical |
| 06. | Object Oriented Programming for Problem Solving – Practical |
| 07. | Workshop / Manufacturing Practices- Practical |
| 08. | Engineering Chemistry Practical |
Semester III
| S.No. | Subject |
|---|---|
| 01. | Data Structures and Algorithms |
| 02. | Artificial Intelligence: Concepts and Applications |
| 03. | Database Management Systems |
| 04. | Discrete Mathematics |
| 05. | Data Structures Using C |
| 06. | Data Structures and Algorithms- Practical |
| 07. | Artificial Intelligence: Concepts and Applications – Practical |
| 08. | Database Management Systems -Practical |
Semester IV
| S.No. | Subject |
|---|---|
| 01. | Operating Systems |
| 02. | Computer Networks |
| 03. | Design and Analysis of Algorithms |
| 04. | Python for AI & Data Science |
| 05. | Probability and Statistics for AI |
| 06. | Operating Systems-Practical |
| 07. | Python for AI & Data Science-Practical |
Semester V
| S.No. | Subject |
|---|---|
| 01. | Object-Oriented Programming with Java |
| 02. | Machine Learning- Principals and Applications |
| 03. | Software Engineering and Devops |
| 04. | Cloud Computing |
| 05. | Open Elective-I |
| 06. | Object-Oriented Programming with Java -Practical |
| 07. | Machine Learning Principals & Applications -Practical |
Open Elective – 1
| 01. | Blockchain Technology |
| 02. | Quantum Computing Basics |
| 03. | Human Computer Interaction |
Semester VI
| S.No. | Subject |
|---|---|
| 01. | Deep Learning |
| 02. | Natural Language Processing |
| 03. | Computer Vision Applications |
| 04. | MLOps and Model Deployment |
| 05. | Big Data Analytics |
| 06. | Deep Learning Lab |
Semester VII
| S.No. | Subject |
|---|---|
| 01. | Generative AI and Large Language Models |
| 02. | AI Agents and Agentic AI |
| 03. | Reinforcement Learning |
| 04. | Data Engineering |
| 05. | Professional Elective-I |
| 06. | Professional Elective-II |
| 07. | Project-I |
Professional Elective-I
| S.No. | Subject |
|---|---|
| 01. | Advanced Deep Learning |
| 02. | AI for Cyber Security |
| 03. | AI for Robotics |
Professional Elective-II
| S.No. | Subject |
|---|---|
| 01. | Cloud AI & Distributed Machine Learning |
| 02. | Multimodal AI |
| 03. | AI for Smart Manufacturing & Industry 4.0 |
Semester VIII
| S.No. | Subject |
|---|---|
| 01. | Responsible AI, Ethics and Governance |
| 02. | Edge AI and Intelligent IoT |
| 03. | AI for Business Applications |
| 04. | Professional Elective-III |
| 05. | Research Seminar / Innovation & Entrepreneurship |
| 06. | Major Project |
Professional Elective-III
| S.No. | Subject |
|---|---|
| 01. | AI in Healthcare |
| 02. | AI in FinTech |
| 03. | Agentic AI & Autonomous Systems |
How to Apply
If you are having any queries regarding the B. Tech/B. Tech (LEET) (Artificial Intelligence and Machine Learning)program you can fill-up the Admission Enquiry Form. If you have any second thoughts on which program to select you can reach out to us via the FREE tele-counseling option. Now, if you have decided that B. Tech/B. Tech (LEET) (Artificial Intelligence and Machine Learning) is the perfect course for you, and you want to start a highly-rewarding career in the process fill-up the online application now.
Testimonials
Mohit Narayan Vashisth from Hisar (Haryana), Pursuing B. Tech (CSE) Artificial Intelligence (AI) (2022-2026 Batch)
I am Pursuing B. Tech (CSE) Artificial Intelligence (AI). It feels like just yesterday when I entered the college with dreams and excitement. The infrastructure is exceptional, with a lush green campus, spacious classrooms, and well-equipped labs that create a perfect learning atmosphere. The facilities, including Wi-Fi, library, and student events, have made academic life smooth and engaging. Above all, the learning environment is incredibly supportive – faculty members are approachable, knowledgeable, and truly committed to students’ success. It is great to be here @OSGU.
Siril Kanth from Telangana, Pursuing B. Tech (CSE) Artificial Intelligence (AI) (2022–2026 Batch)
I am student of B. Tech (CSE) Artificial Intelligence (AI) at Om Sterling Global University is my alma mater, where academic excellence meets innovation. The nurturing environment and holistic education have shaped my perspective and equipped me with skills. I’m proud of the university’s strong reputation and state-of-the-art infrastructure. The faculty’s expertise and dedication have been instrumental in my growth. I’m grateful to be a part of this esteemed institution’s legacy.
Mehak Bhutani, Pursuing B. Tech (CSE) Artificial Intelligence (AI) (2022–2026 Batch)
I am Pursuing B. Tech (CSE) Artificial Intelligence (AI). Choosing OSGU was the right step for both academics and personal growth. The infrastructure is beautiful and well-maintained, with a clean green campus and excellent classrooms and labs. The facilities, from 24×7 Wi-Fi, library, regular events to campus-wide CCTV surveillance, ensure a safe and comfortable environment, especially for girls. The learning experience is amazing, with helpful teachers and a supportive atmosphere. I’ve built great friendships and grown with confidence. It is great to be here @OSGU
