KR Mangalam University Gurugram, Haryana
The lateral entry pathway allows students with prior technical education to complete the B.Tech. degree in three years instead of four, making it a time-efficient option while maintaining the same academic rigor and career opportunities. Throughout the program, students engage in industry-oriented learning, including workshops, coding challenges, internships, and capstone projects aligned with current technological trends.
Graduates of B.Tech. in CSE (AI and ML) with IBM academic support and Microsoft certifications are well prepared for careers in artificial intelligence development, machine learning engineering, data analysis, robotics, and cloud-based AI solutions. The program also lays a strong foundation for higher studies and research in advanced computing domains.
Table of Contents
B.Tech CSE AI & ML (Lateral) Highlights
| Feature | Details |
|---|---|
| Program Name | B.Tech. in CSE (AI and ML) – Lateral Entry |
| Program Duration | 3 Years (Direct Entry into 2nd Year) |
| Eligibility | Diploma in Engineering or equivalent qualification in a relevant field |
| Academic Support | Industry academic support from IBM |
| Certification Support | Microsoft certification modules integrated into the curriculum |
| Key Learning Areas | Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Cloud Computing |
| Programming Languages | Python, Java, R |
| Learning Methodology | Practical labs, industry projects, workshops, and internships |
| Career Opportunities | AI Engineer, Machine Learning Engineer, Data Scientist, Cloud AI Specialist, Software Developer |
| Higher Study Options | M.Tech., MBA, or specialized programs in AI and Data Science |
Key Subjects Covered
The curriculum of B.Tech. CSE (AI and ML) lateral entry is designed to provide both theoretical understanding and practical expertise. Some of the important subjects included in the program are:
| Semester | Major Subjects |
|---|---|
| 3rd Semester | Data Structures, Object-Oriented Programming, Discrete Mathematics |
| 4th Semester | Database Management Systems, Operating Systems, Probability and Statistics |
| 5th Semester | Machine Learning, Artificial Intelligence, Data Mining |
| 6th Semester | Deep Learning, Natural Language Processing, Big Data Analytics |
| 7th Semester | Cloud Computing, AI Model Deployment, Elective Specializations |
| 8th Semester | Major Project, Industry Internship, Capstone Project |
Career Opportunities
Graduates from this program can pursue diverse roles in the rapidly growing technology sector. With the increasing adoption of AI-driven systems across industries such as healthcare, finance, e-commerce, manufacturing, and cybersecurity, the demand for AI and machine learning professionals continues to rise.
Some common career roles include:
| Job Role | Description |
|---|---|
| AI Engineer | Develop intelligent systems and automation solutions |
| Machine Learning Engineer | Design and implement machine learning models |
| Data Scientist | Analyze complex datasets and generate insights |
| AI Research Associate | Work on advanced AI research and algorithm development |
| Cloud AI Developer | Build AI-based applications on cloud platforms |
Benefits of IBM Academic Support and Microsoft Certifications
The collaboration with industry leaders helps students gain exposure to real-world technologies used by global organizations. IBM academic support provides access to industry-driven learning resources, expert sessions, and project-based learning opportunities. Microsoft certification modules help students build practical knowledge of cloud platforms, AI tools, and enterprise software environments.
These industry-oriented learning components strengthen students' technical portfolios and improve employability in competitive technology sectors.
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