Singhania University

What you'll study

The official course page does not list specific modules or structure. As a named BTech in AI & ML Engineering, it is positioned within engineering studies that focus on artificial intelligence and machine learning topics; prospective applicants should consult the university for a detailed syllabus, module list and semester structure.

Entry requirements

The source page does not publish explicit admission criteria for this programme. Applicants should refer to Singhania University admissions materials or contact the admissions helpline for eligibility, required qualifications and application procedures.

Career prospects

No programme-specific placement statistics or guaranteed outcomes are provided on the source page. Generally, a BTech titled in AI and ML Engineering prepares graduates for technical roles that apply engineering principles to AI and machine learning systems; for exact placement support and industry connections, contact the university's placement cell.

Scholarships & funding angle (general)

The university site includes a scholarships section and an admissions brochure link, but the page does not state specific scholarship amounts or criteria. Prospective students should request scholarship and tuition-fee details from the university using the listed contact details.

Contact

Singhania University, Pacheri Bari, Jhunjhunu - 333515, Rajasthan
Phone: +91 9982609213
Email: support@singhaniauniversity.ac.in