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. | CTS-1 Building Essential Language and life skills. |
| 02. | Introduction to Biology for Engineers |
| 03. | Discrete Structures |
| 04. | Computer Organization and Architecture |
| 05. | Data Structures Using C |
| 06. | OOPS Using Java |
| 07. | Project Based Learning (PBL) -1 |
| 08. | Industrial Internship |
| 09. | Soft computing |
Semester IV
| S.No. | Subject |
|---|---|
| 01. | CTS-2 Communicate to conquer |
| 02. | Principles of Operating System |
| 03. | Computer Networks |
| 04. | Data Base Management System |
| 05. | Management Course (from basket) |
| 06. | Project Based Learning (PBL) -2 |
| 07. | Environmental Science |
| 08. | Advance Java Lab |
| 09. | Pattern Recognition |
Semester V
| S.No. | Subject |
|---|---|
| 01. | CTS-3 Impress 2 Impact |
| 02. | Design and Analysis of Algorithm |
| 03. | Theory of Computation |
| 04. | Software Engineering and Testing Methodologies |
| 05. | Program Elective-1 |
| 06. | Technical Skill Enhancement Course-1(LINUX Programming Lab) |
| 07. | Project Based Learning (PBL) -3 |
| 08. | Open Elective – 1 |
| 09. | Industrial Internship-II |
| 10. | Introduction to Machine Learning |
Semester VI
| S.No. | Subject |
|---|---|
| 01. | CTS-4 Ace the Interview |
| 02. | Compiler Design |
| 03. | Artificial Intelligence |
| 04. | Technical Skill Enhancement Course-2(Statistical Analysis Lab) |
| 05. | Program Elective-2 |
| 06. | Program Elective-3 |
| 07. | Project Based Learning (PBL) -4 |
| 08. | Open Elective – 2 |
| 09. | Neural Networks |
Semester VII
| S.No. | Subject |
|---|---|
| 01. | Program Elective-4 |
| 02. | Web Technologies |
| 03. | Major Project- 1 |
| 04. | Comprehensive Examination |
| 05. | Professional Ethics and Values |
| 06. | Industrial Internship |
| 07. | Open Elective – 3 |
| 08. | CTS-5 Campus to corporate |
| 09. | Introduction to Deep Leaning |
Semester VIII
| S.No. | Subject |
|---|---|
| 01. | Major Project – 2 |
| 02. | Program Elective-5 |
| 03. | Program Elective-6 |
| 04. | Open Elective – 4 |
| 05. | Universal Human Value & Ethics |
| 06. | Robotics and Intelligent Systems |
Program Elective
| S.No. | PE-1 | PE-2 | PE-3 | PE-4 | PE-5 | PE-6 |
|---|---|---|---|---|---|---|
| 01. | Introduction to Mathematical & Statistical Techniques in Computer Science | Introduction to Cloud Computing | Information Retrieval | Digital Image Processing | Fuzzy Logic | Intelligent Agents |
| 02. | Introduction to Graph Theory and its Applications | Natural Language Processing | Introduction to Internet of Things |
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
