Greater Noida Institute of Technology (GNIOT), Greater Noida
B.Tech CSE - AI & ML (Lateral Entry) at GNIOT Group of Institutions
The B.Tech in Computer Science Engineering (CSE) specializing in Artificial Intelligence (AI) and Machine Learning (ML) is designed to offer students a robust understanding of modern technologies shaping the future of computing. With an emphasis on AI and ML, this program prepares students for challenges in the rapidly growing tech industry. The lateral entry option allows diploma holders to directly join the second year of the B.Tech program, making it an ideal choice for students looking to advance their education and career in tech.
The course is structured to provide a solid foundation in computer science while integrating core subjects like AI, ML, data science, and software engineering. Students will gain hands-on experience through projects, internships, and exposure to cutting-edge technologies. They will also develop problem-solving skills essential for creating innovative AI-based solutions.
Duration
The B.Tech CSE AI & ML program is a 3-year course under the lateral entry scheme. Students joining this course will begin their studies from the second year and complete their education in three years.
| Year | Duration |
|---|---|
| 2nd Year | 1 year |
| 3rd Year | 1 year |
| 4th Year | 1 year |
B.Tech CSE - AI & ML (Lateral Entry) Fees
The fee structure for the B.Tech CSE AI & ML (Lateral Entry) course at GNIOT Group of Institutions is provided below. The fees are divided across three academic years.
| Year | Fee (INR) |
|---|---|
| 2nd Year | 126,000 |
| 3rd Year | 121,000 |
| 4th Year | 121,000 |
Eligibility Criteria for B.Tech CSE AI & ML (Lateral Entry) Program
To be eligible for the B.Tech CSE AI & ML (Lateral Entry) program, candidates must meet the following requirements:
| Criteria | Details |
|---|---|
| Educational Qualification | Diploma in Engineering or Technology |
| Minimum Percentage in Diploma | 50% or above in the relevant stream |
| Entry Level | Direct admission to the second year of the program |
B.Tech CSE - AI & ML (Lateral Entry) Course Curriculum
The curriculum of the B.Tech CSE AI & ML (Lateral Entry) course is designed to provide a thorough understanding of computer science principles and specialized knowledge in AI and ML. Below is a semester-wise breakdown of the key subjects.
| Semester | Subject |
|---|---|
| 2nd Year | |
| 1st Semester | Engineering Mathematics, Programming in C, Data Structures, Computer Organization and Architecture, Digital Logic Design |
| 2nd Semester | Discrete Mathematics, Object-Oriented Programming, Database Management Systems, Algorithms, Electrical Engineering |
| 3rd Semester | |
| 1st Semester | Operating Systems, Machine Learning, Software Engineering, Computer Networks, Principles of Communication |
| 2nd Semester | Data Science, Artificial Intelligence, Microprocessors, Web Technologies |
| 4th Semester | |
| 1st Semester | Natural Language Processing, Cloud Computing, Advanced Algorithms, Mathematics for Machine Learning |
| 2nd Semester | Deep Learning, Big Data Analytics, Computer Vision, Advanced Database Systems |
| 5th Semester | |
| 1st Semester | AI and ML Project, Advanced Software Engineering, Embedded Systems |
| 2nd Semester | Network Security, AI Research Methodology, Human-Computer Interaction |
| 6th Semester | |
| 1st Semester | Robotics, Bioinformatics, AI Ethics, Management Information Systems |
| 2nd Semester | Industry Internship, AI-based Application Development, Advanced Topics in AI |
| 7th Semester | |
| 1st Semester | Capstone Project (AI and ML related), Blockchain Technology, AI and Society |
| 2nd Semester | Advanced Deep Learning, AI-based System Design, Professional Ethics |
| 8th Semester | |
| 1st Semester | AI Strategy and Policy, Mobile AI Applications |
| 2nd Semester | Final Project and Thesis Submission, AI and ML Industry Trends |
Career Opportunities after B.Tech CSE AI & ML
Graduates of the B.Tech CSE AI & ML program have a wide range of career opportunities in the fast-evolving fields of AI, ML, data science, and related industries. They are equipped with the skills to pursue roles that require expertise in computer science and AI/ML technologies. Below are some potential career paths for graduates:
| Job Role | Description |
|---|---|
| AI Developer | Design, develop, and implement AI systems for various applications. |
| Machine Learning Engineer | Build and optimize machine learning models for real-time data analysis. |
| Data Scientist | Analyze large sets of data to uncover trends and insights for business decision-making. |
| Software Engineer | Develop software solutions for businesses, focusing on AI and ML applications. |
| Research Scientist in AI | Conduct research to develop innovative AI-based solutions for various industries. |
| Robotics Engineer | Design and develop robots using AI and ML algorithms for real-world applications. |
| Business Analyst (AI) | Use AI and ML tools to provide business insights and strategic solutions. |
| Blockchain Developer (AI-based) | Develop blockchain solutions integrated with AI systems for improved security and efficiency. |
The B.Tech CSE AI & ML (Lateral Entry) course at GNIOT Group of Institutions offers a comprehensive education in computer science with a strong focus on emerging technologies like AI and ML. The lateral entry option makes it an ideal choice for diploma holders looking to advance their careers in these fields. The course is designed to equip students with both theoretical knowledge and practical experience, ensuring that they are prepared for the challenges and opportunities in the AI and tech industries.
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