MBA - Business Analytics at Sharda University
The MBA with a specialisation in Business Analytics at Sharda University is a 2-year, 4-semester online degree that equips graduates to lead data-driven decision-making in organisations across industries. Year 1 builds core management foundations in finance, marketing, HR, economics, and AI applications. The specialisation in Year 2 advances into Python for machine learning, Tableau dashboards, Power BI analytics, customer churn modelling, predictive analytics, and end-to-end business analytics projects. Graduates are trained on Bloomberg-style labs, SAP, and real company datasets, applying statistical and computational methods to business problems. With 200+ recruiting partners and a 95% placement rate, graduates have been placed at McKinsey, leading analytics firms, and Fortune 500 companies in business analyst, data analyst, and analytics consulting roles, with average packages of Rs 12 LPA and highest of Rs 40 LPA.
English
Course Start Date:
July, 2026
Application Deadline:
Closing Soon
Duration:
2 Years
₹ 1,50,000
Overview
The MBA in Business Analytics at Sharda University is a 2-year NAAC A+ accredited programme that builds quantitative and analytical capabilities within a full management education framework. Year 1 covers core business subjects with an emphasis on quantitative techniques, technology and analytics, and AI applications. The Year 2 specialisation advances into Python ML projects, Tableau dashboards, Power BI reporting, customer churn modelling, and end-to-end analytics case studies. Bloomberg-style labs, SAP, and live company datasets support hands-on learning. With a 95% placement rate and 200+ recruiting partners, graduates are placed in business analyst and analytics consulting roles at companies including McKinsey, Razorpay, and top technology firms.
Why Online MBA (Master of Business Administration)?
Business Analytics at Sharda goes beyond Excel and basic statistics. The specialisation integrates Python ML projects, Tableau and Power BI dashboards, and end-to-end customer churn modelling within a management curriculum that teaches business context alongside technical execution. This dual competency — analytical rigour and business judgement — is what top employers like McKinsey look for in analytics hires. Alumni from the programme have won analytics consulting roles competing with IIM graduates. The programme's Bloomberg-style labs and live SAP environments ensure technical fluency with the tools used in corporate analytics functions.
What does this course have to offer?
Key Highlights
Specialisation in Business Analytics within NAAC A+ accredited MBA
Python ML projects, Tableau, Power BI, and SAP labs
End-to-end customer churn modelling and predictive analytics
Bloomberg-style trading terminal for quantitative finance applications
Research-based capstone with real company datasets 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 business analyst, data analyst, or analytics consulting roles
Professionals seeking to combine management credentials with quantitative analytics skills
Statistics, economics, or engineering graduates wanting an MBA with applied analytics depth
Aspiring management consultants who want to differentiate with data and analytics capabilities
Business professionals looking to transition into data-driven decision-making roles
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 analytical foundations: Semester 1 covers organisational behaviour, financial accounting, quantitative techniques, managerial communication, AI introduction, economic analysis, 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 as core subjects, alongside Business Analytics specialisation electives in predictive sales analytics, AI in marketing strategy, and consumer behaviour. Semester 4 covers strategic management, research-based learning, and advanced specialisation electives in CRM with AI, digital marketing analytics, and brand intelligence with AI.
There are 4 semesters in this course
Year 1 develops the business and quantitative literacy that underpins the analytics specialisation. Semester 1 emphasises quantitative techniques and economic analysis as the mathematical backbone for later analytics work. Financial accounting and organisational behaviour develop commercial judgement and leadership capability. The AI introduction module orients students early toward data-driven management. Semester 2 adds marketing, HRM, and corporate finance to the analytical foundation, and the dedicated technology and analytics module introduces business intelligence tools and data pipelines. The AI applications module bridges theory and practice with real business decision scenarios. Year 2 begins in Semester 3 with entrepreneurship, operations management, and a full introduction to data science, establishing the Python, statistical modelling, and visualisation skills required for the specialisation. Live analytics electives include predictive sales analytics, AI in global marketing strategy, and consumer behaviour analytics, all applied to real company datasets using Tableau and Power BI. Semester 4 integrates strategic management and research-based learning with advanced electives in CRM with AI automation, digital marketing analytics, and brand intelligence. The Semester 4 capstone requires students to build an end-to-end analytics solution for a real business problem, including data collection, modelling, visualisation, and recommendation, creating a portfolio piece that demonstrates applied business analytics competency.
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.