2 Years
Full-time postgraduate
programme
4 Semesters
Coursework, labs, projects and thesis
80 Credits*
As listed in the L&T EduTech AI & ML programme structure
AY 2026-27
Proposed commencement at
USTU
2 Years
Full-time postgraduate
program
4 Semesters
Coursework, labs, projects and thesis
80 Credits
UGC choice-based L-T-P pattern
AY 2026-27
Proposed commencement at
USTU
Build Advanced AI Expertise with Industry Context
Artificial intelligence is reshaping how organisations build products, automate processes and make decisions. This program 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.
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 Program 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
Placement Focused
A dedicated dashboard provides internship and placement opportunities throughout the program
Job-aligned Curriculum
Covers deep learning, generative AI, MLOps, and scalable AI systems, benchmarked to leading M.Tech programs
The Two-Year Learning Journey
Year 1 | Semesters 1-2
Foundations at USTU
Students build their mathematics, programming, and machine-learning foundations on campus. In each semester, L&T EduTech delivers two theory courses and one co-taught laboratory (about 90 hours); the remaining courses are taught by USTU faculty.
Year 2 | Semesters 3-4
Industry Projects and Thesis
Delivered entirely by L&T EduTech – a professional elective and industry project in Semester 3, then an industry project and dissertation in Semester 4, under practitioner mentorship.
The Two-Year Learning Journey
Year 1 | Semesters 1-2
Foundations at USTU
Students build their mathematics, programming, and machine-learning foundations on campus. In each semester, L&T EduTech delivers two theory courses and one co-taught laboratory (about 90 hours); the remaining courses are taught by USTU faculty.
Year 2 | Semesters 3-4
Industry Projects and Thesis
Students build their mathematics, programming, and machine-learning foundations on campus. In each semester, L&T EduTech delivers two theory courses and one co-taught laboratory (about 90 hours); the remaining courses are taught by USTU faculty.
Course Structure
Program Outcomes
Independently formulate, investigate, and solve open-ended problems in artificial intelligence and machine learning, culminating in a dissertation or industry project that demonstrates original applied work.
Prepare substantial technical documentation and present research, design, and project outcomes clearly to both technical and non-technical audiences, in written and oral form.
Demonstrate advanced, postgraduate-level command of AI/ML theory and practice – spanning statistical foundations, machine learning, and deep learning – beyond the level expected at the bachelor’s degree.
Design, deploy, and maintain AI/ML systems in production settings, applying MLOps practices across the model lifecycle including deployment, monitoring, and drift management.
Architect AI/ML solutions for scale, using distributed computing frameworks and sound application architecture and deployment principles suited to real-world data volumes and enterprise constraints.
Apply AI/ML skills in an industry-integrated setting, working to professional and ethical standards under practitioner mentorship, as demonstrated through the L&T EduTech-led project work and internship experience.
Program Scope
The AI/ML and Big Data talent market has a supply-demand gap of around 50 to 54 percent. India’s digital tech talent gap is expected to grow from 0.5 million in 2023 to 1.4 million by 2028, driven mostly by AI and Big Data roles. Tech job postings rose by 476,000 between 2023 and 2024, with Generative AI and Applied AI leading the growth, followed by cybersecurity, cloud architecture, and DevOps. Demand for postgraduate AI talent runs ahead of supply, with a hiring premium for postgraduates over generalist graduates.
Program Eligibility
Applicants with a minimum of 50% aggregate marks (45% for reserved category candidates) in B.Tech./B.E. (all streams), MCA, AMIE, M.Sc. (Mathematics, Statistics, Computer Science, Information Technology, or Electronics), or any other UGC-approved equivalent qualification are eligible to apply for the M.Tech. program.
Course Structure
Core AI/ML foundations, USTU-led with L&T EduTech co-delivery
Advanced ML, applied electives, labs
Professional elective plus industry project, L&T EduTech led
Internship or capstone project, and dissertation
Internship
Semester 3 runs mid-July through October as a blend of virtual instructor-led training by L&T experts and on – campus project work.
Around October or November, students who clear the learning modules and meet LTIM’s criteria go through a preliminary campus recruitment round for an internship at LTIMindtree.
Students with no internship or placement offers from other hiring partners till December get internship support through other L&T Group or partner companies, or move onto an industry capstone project for Semester 4.
Placement
Every student gets access to a dedicated online dashboard that displays live internship and placement opportunities accessible throughout the program. Students can view openings, applications, and industry connect from L&T EduTech and USTU’s hiring network through this dashboard.
Industry-Backed Learning Model
Instructor-Led Learning
In-person teaching on selected core subjects by L&T EduTech faculty and industry experts.
Digital Learning Support
Learning delivered through an LMS with quizzes, assignments and structured assessments.
Practitioner Sessions
Expert-led sessions from IT-industry professionals bring practical context into the classroom.
Simulation and Projects
Simulation labs, development-lifecycle exposure, documentation, reviews and project-oriented practice.
Professional Skills
Communication, presentation, teamwork, time management, documentation and customer-management skills.
Assessments
MCQs, presentations, practical assignments and viva-based evaluations.
Industry-Backed Learning Model
Instructor-Led Learning
In-person teaching on selected core subjects by L&T EduTech faculty and industry experts.
Digital Learning Support
Learning delivered through an LMS with quizzes, assignments and structured assessments.
Practitioner Sessions
Expert-led sessions from IT-industry professionals bring practical context into the classroom.
Simulation and Projects
Simulation labs, development-lifecycle exposure, documentation, reviews and project-oriented practice.
Professional Skills
Communication, presentation, teamwork, time management, documentation and customer-management skills.
Assessments
MCQs, presentations, practical assignments and viva-based evaluation.
Progressive Certification Framework
The program offers recognition at every stage, ensuring career readiness.
Each year includes a graded academic and industry assessment.
Year 1: Certificate in Retail Management
Year 2: Diploma in Retail Management
Year 3: B.Voc in Retail Management
Year 4: BBA Degree in Retail Management
Each student goes through a graded assessment for completion of every year of the course.
DURATION
On-the-Job Training (OJT)
Students work with partner companies while pursuing studies.
PLACEMENTS
Stipend Paid
A few Select students earn while they learn, reducing financial burden.
FORMAT
Work–Study Balance
Classroom learning plus work experience with projects and OJT- On the JOB training in each semester with RAI and its network of companies
FINANCIAL AID
Multiple Entry-Exit Options
Flexible certification to cater to diverse student needs.
On-the-Job Training (OJT)
Students work with partner companies while pursuing studies.
Stipend Paid
A few Select students earn while they learn, reducing financial burden.
Work–Study Balance
Classroom learning plus work experience with projects and OJT- On the JOB training in each semester with RAI and its network of companies
Multiple Entry-Exit Options
Flexible certification to cater to diverse student needs.
Final Placement
Placement assistance with an average CTC of ₹4 LPA.
Course Highlights
On-the-Job Learning
Students gain real-world experience every semester through structured industry projects and immersive OJT with RAI and its network of retail organisations.
Earn While You Learn
Stipend provided during the training period allows eligible students to earn during the course of their program.
Integrated Work–Study Model
Academic learning is continuously reinforced by hands-on industry exposure, creating a seamless pathway from classroom to workplace.
Career Outcomes
Students graduate with assisted placement opportunities and a career-ready profile, with average packages around ₹4 LPA.
Vision for Human Society
Reflect on philosophical and ethical perspectives that shape a just and equitable society.
Indian Constitution
Explore the framework of India's supreme legal document, understanding its significance and application.
Excel for Everyone
Develop proficiency in Microsoft Excel, enhancing data analysis and Management capabilities applicable across professions.
Web Designing (UI / UX)
Design seamless digital experiences with our Web Designing (UI/UX) module — where function meets creativity.
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Environmental Sustainability (ESG)
Gain insights into sustainable practices and the principles of Environmental, Social, and Governance (ESG) to promote responsible citizenship.
Behavioural Science
Explore the psychology behind decisions, leadership, and behaviour with our Behavioural Science module.
Data Visualisation
Turn data into insight with our Data Visualisation module – communicate clearly, decide smarter.
Disruptive Technologies
Explore AI, blockchain, and more in our Disruptive Technologies module – future-proof your business mindset.
Political Science
Explore how power, policy, and politics shape business in our Political Science module.
Introduction to Sociology
Discover how society shapes businesses in our sociology module – lead with insight, empathy, and awareness.
Creative Writing
Master the art of business storytelling through our Creative Writing module – where imagination meets impact.
Career Opportunities
The AI & ML program brochure identifies the following potential roles:
Career-Readiness Support
Aptitude Preparation
Structured training in aptitude, logical reasoning, comprehension and numerical ability.
Internship Assistance
Assistance through industry and institutional networks. Opportunities remain subject to eligibility, selection, availability and partner requirements.
Continuous Mentoring
Mentoring to help learners prepare for internships and early-career technology roles.
About the Academic Collaboration
Universal SkillTech University
USTU is responsible for program approval, learner enrolment, academic infrastructure, university faculty support, program supervision, examinations and award of the degree, in accordance with applicable norms.
Industry Projects and Thesis
Delivered entirely by L&T EduTech a professional elective and industry project in Semester 3, then an industry project and dissertation in Semester 4, under practitioner mentorship.
Admission Process
Eligibility criteria and the admission process are set by the University and confirmed at the point of admission.
For the full details and to apply, applicants should contact the Office of Admissions: Office of Admissions, Universal SkillTech University – Universal Campus, Kaman Bhiwandi Road, Near Bhajanlal Dairy & Punyadham, Vasai-Virar 401208, Maharashtra.
Phone: +91 22 41949922 / +91 89285 19180.
Email: admissions@ustu.edu.in.
Web: universalskilltechuniversity.edu.in
Fee Structure
Year 1
Miscellaneous Fees: ₹25,000
Tuition Fees: ₹2,04,545
Development Fees: ₹20,455
Total Fees: ₹2,50,000
Year 2
Miscellaneous Fees: ₹25,000
Tuition Fees: ₹2,04,545
Development Fees: ₹20,455
Total Fees: ₹2,50,000
Collaborators & Placement Partners
Learning Pedagogy
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Classroom – Case studies, simulations, and group activities
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Guest lectures by industry experts, conducted both online and offline
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Continuous, credit-based learning and assessment by company mentors
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Internships, projects, case studies, and business storytelling
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OJT with leading retail corporates
Candidate Benefits
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Eligible students earn a stipend while studying, making education financially sustainable.
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Acquire four years of work experience alongside graduation.
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Progressive certifications and career pathways enable early employability.
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Practical exposure enhances problem-solving, leadership, and decision-making skills.
Designed with Industry. Delivered in the Real World.
Collaborators & Placement Partners
