top of page

B.Tech. in AI & ML (in collaboration with Microsoft)

Master AI and Machine Learning through USTU’s industry-aligned B.Tech. program in collaboration with Microsoft and byteXL. Gain hands-on training, globally recognised certifications, and real-world project experience. The program equips you with cutting-edge technical skills, practical problem-solving abilities, and the confidence to excel in the rapidly expanding AI-driven technology landscape.

Image by Michael Marsh
MTech Banner.jpg

Build Advanced AI Expertise with Industry Context

Artificial intelligence is reshaping how organisations build products, automate processes and make decisions. This programme is designed to help learners build strong foundations in statistics, data science, artificial intelligence and machine learning before progressing to deep learning, generative AI, distributed data processing, edge computing and industry projects.

Why This Programme Stands Apart

Industry-Designed Learning

Advanced modules are taught by L&T EduTech practitioners, aligned with current industry practices

Degree with a Portfolio

The final year focuses on industry-led projects using a dedicated on-campus GPU cluster

Jessica Davis

Position / Role

James Williams

Position / Role

The Two-Year Learning Journey

Program Outcomes

  • Students will understand the principles of network security, including network architecture, secure network design, access control, VPNs, secure wireless communication, and network monitoring.

  • Graduates will be proficient in using security technologies and tools to protect computer systems and networks, such as firewalls, intrusion detection/prevention systems (IDS/IPS), antivirus software, encryption, and secure communication protocols.

  • Students will have knowledge of digital forensics principles and methodologies for collecting, preserving, analysing, and presenting digital evidence in a legally admissible manner. They should be proficient in using forensic tools and techniques to investigate cybercrimes and security incidents.

Program Scope

  • Equips students with the skills needed to lead and innovate in the field of Generative AI. 

  • Graduates will be equipped to thrive in the fast-evolving tech landscape.

Program Eligibility

Academics
Student appearing for Std 10+2 or passed with minimum 45% in PCM or equivalent. Must have studied Maths in Xll from any recognised boards (CBSE, ISC, HSC, IB, A Levels or equivalent).

Entrance Test
A proctored test evaluates skills required for Tech Engineering at USTU.
This test is optional if you have appeared for MHTCET/ IIT JEE or any other recognised National/State-Level exam.

Course Structure

  • Personality Development Course
    Indian Knowledge System
    Core Computing Courses

  • Basic Sciences
    Entrepreneurship Courses
    Core Computing Courses

  • Advanced Certification Courses
    Skill Building Workshops
    Interdisciplinary Electives

  • Core Computing Courses
    Core Electives
    Observership

  • Advanced Computing Courses
    Specialisation Courses
    Minor Courses

  • Internship
    Minor Courses
    Specialisation Electives

  • Skill Based Electives
    OJT

  • Skill Based Electives
    OJT

bottom of page