
Program Outcomes
Graduates will demonstrate a comprehensive understanding of fundamental concepts, theories, algorithms, and methodologies in artificial intelligence and machine learning.
Graduates will be able to identify, formulate, and solve complex problems using AI & ML techniques. This includes proficiency in algorithm design, data analysis, and optimisation methods.
Graduates will possess effective teamwork and communication skills, enabling them to collaborate with multidisciplinary teams and communicate technical concepts to diverse audiences.
Graduates will be capable of planning, executing, and managing AI & ML projects effectively.
Program Scope
Graduates can pursue roles as AI/ML engineers, working on the development of intelligent systems, algorithms and machine learning models.
Opportunities exist in diverse industries for creating innovative solutions and automation.
Specialisation prepares students for research and development in emerging AI technologies, contributing to advancements in the field.
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 CoursesBasic Sciences
Entrepreneurship Courses
Core Computing CoursesAdvanced Certification Courses
Skill Building Workshops
Interdisciplinary ElectivesCore Computing Courses
Core Electives
ObservershipAdvanced Computing Courses
Specialisation Courses
Minor CoursesInternship
Minor Courses
Specialisation ElectivesSkill Based Electives
OJTSkill Based Electives
OJT

Management
Develop managerial skills, leadership strategies, and decision-making capabilities for dynamic organisational environments.

Economics
Explore micro and macroeconomic principles, market dynamics, and their application in global and technological contexts.

Liberal Arts
Embrace a broad spectrum of disciplines, fostering critical thinking and cultural awareness through studies in humanities, social sciences, and arts.

Psychology
Delve into the human mind and behavior, studying psychological theories and practices that apply to various professional and personal contexts.

Business Studies:
Provides an overview of core business concepts, including operations, marketing, finance, and entrepreneurship.

Data Science
Get hands-on with everything from coding and algorithms to systems and software. This is where you learn how digital tools are built, and how to build your own from the ground up.

Blockchain Technology
Teaches decentralised systems, cryptography, and the development of secure, transparent applications using blockchain technology.

Cyber Forensics
Focuses on investigating digital crimes, securing data, and understanding forensic methodologies to tackle cyber threats.

Artificial Intelligence & Machine Learning (AI & ML)
Learn how smart systems work. From voice assistants to facial recognition, you’ll build the tech that’s already changing the way we live and work.







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