MBA - AI and Finance Specialization at Sharda University
The MBA with a specialisation in AI and Finance at Sharda University is a 2-year, 4-semester online degree that equips graduates with advanced financial skills augmented by AI, algorithmic trading, and credit risk modelling capabilities. Year 1 builds core management foundations in corporate finance, financial accounting, quantitative techniques, marketing, and AI applications. The specialisation in Year 2 covers AI in audit, AI in portfolio management, algorithmic trading modules, credit risk model building, and live equity research and M&A modelling using Excel and Bloomberg-style terminals. Graduates develop competencies that go beyond standard CFA preparation, adding AI-powered financial analytics to their skill set. With 200+ recruiting partners, a 95% placement rate, and graduates placed at Goldman Sachs, HDFC Bank, and leading financial institutions with packages up to Rs 40 LPA, the AI and Finance specialisation is designed for aspiring investment bankers, quant analysts, and fintech product leaders.
English
Course Start Date:
July, 2026
Application Deadline:
Closing Soon
Duration:
2 Years
₹ 1,50,000
Overview
The MBA in AI and Finance at Sharda University is a 2-year NAAC A+ accredited programme that blends advanced financial education with AI-powered analytics. Year 1 covers corporate finance, financial accounting, quantitative techniques, and AI applications. The Year 2 specialisation deepens into AI in audit, AI in portfolio management, algorithmic trading, credit risk modelling, live equity research, and M&A modelling using Bloomberg-style terminals. Graduates develop skills beyond standard CFA candidates, combining financial rigour with AI analytical capabilities. With a 95% placement rate and 200+ partners, graduates are placed at Goldman Sachs, HDFC Bank, and leading financial institutions in investment analyst, quant analyst, and fintech roles.
Why Online MBA (Master of Business Administration)?
The AI and Finance specialisation adds AI-powered financial analytics to a rigorous MBA finance curriculum, producing graduates with competencies that exceed standard CFA preparation. Modules in AI in audit, AI in portfolio management, and algorithmic trading are not typically available in traditional MBA programmes. Live equity research, 3-statement DCF modelling, and M&A comps models built in Bloomberg-style lab environments create a portfolio that investment banking and quant analytics teams actively recruit. Alumni from this track have been placed at Goldman Sachs as Investment Banking Analysts and at HDFC Bank as Quant Analysts building credit risk models, directly from campus placements.
What does this course have to offer?
Key Highlights
Specialisation in AI and Finance within NAAC A+ accredited MBA
Modules in AI in Audit, AI in Portfolio Management, and Algorithmic Trading
Live equity research and M&A modelling in Bloomberg-style trading terminals
Credit risk model building and quantitative financial analysis
Skills that go beyond standard CFA preparation
Research-based capstone in Semester 4
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?
Graduates targeting investment banking, quant analytics, or corporate finance roles
Finance professionals wanting AI and algorithmic trading capabilities added to their skill set
Aspiring quant analysts seeking credit risk modelling and portfolio management expertise
CFA aspirants looking for a structured MBA with practical financial modelling depth
Fintech professionals building AI-powered financial products or analytics systems
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
Year 1 builds management and financial foundations: Semester 1 covers financial accounting, economic analysis, quantitative techniques, managerial communication, AI introduction, organisational behaviour, and governance and ethics. Semester 2 covers corporate finance and financial markets as a core subject, marketing management, HRM, business research methods, technology and analytics, AI applications for business, and legal aspects. Semester 3 covers entrepreneurship, operations management, and data science alongside AI and Finance specialisation electives including AI in audit, algorithmic trading fundamentals, and portfolio analytics. Semester 4 covers strategic management, research-based learning, and advanced specialisation electives in AI portfolio management, credit risk modelling, and M&A analytics.
There are 4 semesters in this course
Year 1 establishes the financial and quantitative foundations required for the AI and Finance specialisation. Semester 1 opens with financial accounting and economic analysis, developing the accounting literacy and macroeconomic judgement central to financial analysis. Quantitative techniques build the mathematical toolkit for valuation and risk modelling, while the AI introduction module signals the programme's integration of technology with finance. Semester 2 is anchored by the corporate finance and financial markets module, which covers the time value of money, risk and return, DCF valuation, cost of capital, and capital budgeting. Bloomberg-style terminals are introduced in this semester for live market simulations. Technology and analytics and AI applications for business modules further develop the data and computational fluency required for advanced financial modelling. Year 2 begins in Semester 3 with entrepreneurship, operations management, and a data science introduction that develops Python and statistical modelling skills applicable to financial analytics. Specialisation electives introduce AI in audit, algorithmic trading fundamentals, and portfolio analytics using live market data. Semester 4 integrates strategic management and research-based learning with advanced electives in AI portfolio management, credit risk modelling, and M&A analytics. The Semester 4 capstone requires students to build a live financial model or conduct an equity research piece on a real company, producing a portfolio-ready deliverable that mirrors the work expected in investment banking and quant analytics roles.
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.