MBA - AI and Product Management at Sharda University
The MBA with a specialisation in AI and Product Management at Sharda University is a 2-year, 4-semester online degree that prepares graduates to lead AI-powered product development in technology-driven organisations. Built on a management foundation covering corporate finance, marketing, organisational behaviour, and business analytics, the specialisation track in Year 2 focuses on product roadmap development, AI feature design, API integration planning, and real product requirement documents (PRDs). Students work on live product cases drawn from technology companies, apply AI tools to product decision-making, and complete a research-based capstone in Semester 4. The programme leverages an AI-powered learning platform with Bloomberg-style labs, an AI mock interviewer, and resume builder for end-to-end placement preparation. With 200+ recruiting partners, a 95% placement rate, and graduates placed at Razorpay, TCS, and leading product-first companies, this MBA track is designed for aspiring product managers and AI product leaders.
English
Course Start Date:
July, 2026
Application Deadline:
Closing Soon
Duration:
2 Years
₹ 1,50,000
Overview
The MBA in AI and Product Management at Sharda University is a 2-year NAAC A+ accredited programme that equips students to lead AI-driven product development. Core Year 1 subjects cover corporate finance, marketing, HRM, organisational behaviour, and AI applications for business. The specialisation in Year 2 focuses on building and managing AI-powered products: writing PRDs, designing AI feature roadmaps, integrating APIs, and managing cross-functional product teams. Students engage with live product cases from technology companies and ship a research-based capstone project. The programme is supported by Bloomberg-style labs, an AI mock interviewer, and a 200+ partner placement network with a 95% placement rate and average package of Rs 12 LPA.
Why Online MBA (Master of Business Administration)?
The AI and Product Management specialisation at Sharda is unique in embedding AI feature design and technical product management skills within a full MBA framework. Students learn to write real PRDs, build AI feature roadmaps, design API integration plans, and manage product development teams using Agile methodologies. These are skills top technology employers actively seek and are rarely taught in traditional MBA programmes. The programme's live product case studies drawn from technology companies, combined with a research-based capstone and an AI-powered learning platform, produce graduates who are placement-ready for product management roles at companies like Razorpay, where alumni have been placed as Product Managers building AI fraud detection products.
What does this course have to offer?
Key Highlights
Specialisation in AI and Product Management within NAAC A+ accredited MBA
AI feature roadmaps, PRD writing, and API integration planning modules
Live product cases from technology companies in every semester
Research-based capstone project in Semester 4
AI mock interviewer and resume builder for placement preparation
95% placement rate with 200+ recruiting partners
Average package Rs 12 LPA and highest package Rs 40 LPA
Interested in career outcomes and specializations?
Who is this programme for?
Computer science or engineering graduates targeting product management careers
Professionals seeking a structured pathway into AI product leadership roles
Aspiring Product Managers at technology startups and enterprise software companies
Business graduates wanting AI and technical product skills to complement management knowledge
Entrepreneurs building AI-first products who want structured product management training
Minimum Eligibility
Any bachelor's degree from a recognised university
Qualifying score in CAT/MAT/XAT/GMAT or Sharda Entrance Test (SUAT)
Group Discussion round to assess communication and leadership skills
Personal Interview with faculty panel
Submission of graduation marksheet and work experience details if applicable
Not sure whether you qualify for this programme?
Who is the programme for?
Admission to the Sharda University MBA requires a bachelor's degree from a recognised university in any discipline. Candidates must qualify through CAT, MAT, XAT, GMAT, or the Sharda Entrance Test (SUAT). Shortlisted applicants participate in a Group Discussion round assessing communication and leadership skills, followed by a Personal Interview with a faculty panel evaluating overall potential. Successful candidates receive an offer letter and complete enrollment formalities. Intakes are offered in July and January with limited seats reviewed on a rolling basis. The 4-semester academic structure spans two years: Year 1 covers management foundations including organisational behaviour, financial accounting, economic analysis, quantitative techniques, marketing, HRM, corporate finance, technology and analytics, and AI applications. Year 2 introduces specialisation depth with entrepreneurship, operations, data science, and a research-based capstone culminating in Semester 4 alongside strategic management.
Selection process
How to apply?
Curriculum
The curriculum builds management foundations in Year 1 before pivoting to specialisation depth in Year 2. Semester 1 covers organisational behaviour, financial accounting, economic analysis, quantitative techniques, managerial communication, AI introduction, and governance and ethics. Semester 2 covers marketing management, HRM, corporate finance, business research methods, technology and analytics, AI applications for business, and legal aspects. Semester 3 introduces entrepreneurship, operations management, and data science alongside the AI and Product Management specialisation electives, which include AI product strategy, PRD frameworks, and API integration planning. Semester 4 covers strategic management, research-based learning, and advanced specialisation electives focused on AI product roadmapping, launch strategy, and capstone delivery.
There are 4 semesters in this course
Year 1 establishes the management and analytical foundations needed to lead product organisations. Semester 1 develops core business literacy through financial accounting, economic analysis, and quantitative techniques, while organisational behaviour and managerial communication build leadership and stakeholder management skills. The early introduction to AI signals the programme's orientation toward technology-enabled business. Semester 2 expands into marketing management, corporate finance, HRM, and a dedicated module on technology and analytics for business, followed by an applied AI applications module that bridges classroom learning with real product decision scenarios. Year 2 begins in Semester 3 with entrepreneurship and startup ideation, operations management, and data science fundamentals, all of which are directly applicable to product management. The specialisation track introduces AI product strategy, PRD writing, and API integration planning through live case work. Semester 4 integrates strategic management, research-based learning, and advanced electives in AI product roadmapping and launch strategy. The capstone research project requires students to define a product problem, design an AI-powered solution, and deliver a portfolio-ready output that demonstrates end-to-end product thinking.
Semester 1
Semester 2
Semester 3
Semester 4
Programme Length
2 years across 4 semesters. July and January intake batches available each year.
Tuition Fee
The total programme fee for Indian national students is Rs 1,50,000 for the full 2-year MBA, structured at Rs 37,500 per semester or Rs 75,000 per year. A one-time registration fee of Rs 500 and an annual examination fee of Rs 3,500 apply in addition to tuition. SAARC-region students pay Rs 1,000 registration and Rs 5,000 annual examination fees. International students are billed in USD: total tuition is USD 2,400 (USD 600 per semester), plus USD 10 registration and USD 60 annual examination fees. The fee structure is described as transparent with no hidden costs.
Fee Structure
Payment options
Need help understanding fees, EMI options, or scholarships?
Learning Experience
The MBA programme is delivered through an AI-powered platform integrating web, mobile, Bloomberg-style trading terminals, SAP, Tableau and Power BI labs into a single learner profile. Lecture content is supplemented by AI-generated notes, in-video transcripts, and a Q&A interface. A mobile app provides access to courses, timetables, attendance tracking, flash card quizzes, and progress reports. Case-based learning with Fortune 500 case studies, live consulting projects, and valuation models forms the core pedagogy. An AI mock interviewer with real-time feedback, a resume builder, digital blogs, and a cohort leaderboard support placement preparation throughout the programme. Faculty include academicians from IIT and IIM backgrounds. An Executive Speaker Series with C-suite leaders runs monthly, and hackathons, case competitions, and B-plan pitches supplement formal curriculum.
University Experience
Sharda University is a NAAC A+ accredited institution at Knowledge Park III, Greater Noida, Uttar Pradesh. The campus features Bloomberg-style trading terminals, SAP labs, Tableau and Power BI environments, and a B-school library with access to Harvard Business Review, Bloomberg, EBSCO, and 80,000+ business books. Annual B-school fests, marketing conclaves, finance summits, inter-school case competitions, and national B-plan pitches form the student life calendar. Regular CXO guest lectures, corporate visits, live consulting projects, and an MBA mentorship programme connect students with industry. An Entrepreneurship Cell and Startup Incubator with seed support is available for aspiring founders. The university maintains 200+ company partnerships for placement and positions itself as India's first online AI university.
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About the University
Established in 2009, Sharda University is a private university located in Greater Noida, Uttar Pradesh, India. The university has emerged as a leading center for education, research, and innovation, with a strong focus on global education. It operates through 14 schools offering diverse programs across engineering, medical, dental, nursing, pharmacy, business, law, and other disciplines. The university is known for its international outlook, hosting students from 95+ countries and maintaining 250+ global academic partnerships.
#86
NIRF University Rank 2024
#219
QS Southern Asia Rank 2024
17000+
Total Students
Affiliation & Recognition
UGC
NAAC
PCI
Association of Commonwealth Universities
Career services
The Career Counseling and Development Centre (CCDC) at Sharda University provides comprehensive career support services. The center offers guidance for higher education, placement preparation, internship opportunities, and entrepreneurship guidance. It helps students with resume preparation, communication skills development, interview preparation, and business writing. The CCDC also conducts mock interviews and leadership development programs. The center acts as a bridge between academia and industry, helping students transition smoothly into their professional careers.
40LPA
Highest Package 2024
450+
Total Recruiters
100%
Placement Rate MBA
Top Recruiters
Course Start Date:
July, 2026
Application Deadline:
Closing Soon
Duration:
2 Years
₹ 1,50,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.