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BBA in Infrastructure Management

A three-year (6 semesters) or four-year (Hons.) (8 semesters) programme designed to develop leaders with sector knowledge, management skills and technological awareness.

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BBA in Infrastructure Management overview

Our programme integrates business fundamentals with specialized infrastructure knowledge in areas such as real estate, project finance, risk management, sustainability, and urban planning. Students will also gain exposure to:

Industry-aligned curriculum

Curriculum developed in consultation with industry and academia.

Case & project-based learning

Strong emphasis on case-based and project-based pedagogy.

Interdisciplinary electives

Opportunities for interdisciplinary electives across business, economics, and engineering.

Career & start-up support

Career Services, alumni mentorship, and Atal Incubation Centre support for start-ups.

Programme Highlights

The BBA in Infrastructure Management programme at Mahindra University addresses this need by developing a new generation of leaders with sector knowledge, management skills, and technological awareness.

  • The programme integrates business fundamentals with specialized infrastructure knowledge in areas such as real estate, project finance, risk management, sustainability, and urban planning. Students will also gain exposure to digital technologies such as GIS, BIM, drones, digital twins, and smart infrastructure tools. Hands-on learning through case studies, internships, and live projects would ensure that graduates are industry-ready.
  • Mahindra University’s BBA (Infrastructure Management) programme stands out by offering graduates true techno-commercial expertise, blending strong management foundations with in-depth knowledge of constructing, financing, and operating infrastructure assets.
  • As India’s first BBA focused on sustainable urban infrastructure and smart city management, the curriculum goes beyond traditional construction management to cover emerging areas such as AI applications, green energy, energy-efficient design, sustainable materials, environmental impact, and IoT-enabled urban systems.
  • Designed in close alignment with industry needs, the programme integrates financial analysis, contract law, PPP models, tendering, and risk management with core engineering concepts, complemented by mandatory field training and hands-on internships. With strong industry linkages and live project exposure, graduates are well-prepared for a fast-track, industry-aligned career in the infrastructure and real estate sectors.

Programme Outcome

  • Analyze economic, social, and environmental factors influencing infrastructure development.
  • Apply finance, marketing, and human resource principles to infrastructure projects.
  • Manage the entire lifecycle of an infrastructure project.
  • Use modern technology and data analytics for effective decision-making.
  • Demonstrate leadership and ethical conduct in professional settings.

Key Differentiators

  • Sector Knowledge: RERA, land acquisition laws, contract laws, PPP frameworks, and sustainability.
  • Tech Awareness: GIS, BIM, ERP, digital twin, drones, robotics, smart infrastructure.
  • Core Management Skills: Project finance, scheduling, risk management, supply chain, HR, market analysis.
  • Soft Skills: Stakeholder management, negotiation, public relations, corporate governance.
  • Case-study–based courses and simulation exercises.
  • Hands-on projects with real-world data.
  • Industry immersion through internships (8–12 weeks, extendable up to 6 months).
  • Guest lectures and seminars by industry leaders.

Key Highlights

  • Business & Management Core: Strong foundation in key business disciplines including Micro & Macro Economics, Financial Accounting, Corporate Finance, Principles of Management, Business Strategy, and Digital Marketing.
  • Infrastructure & Construction Focus: Specialized courses such as Infrastructure Management, Construction Technology & Automation, Construction Planning (BIM-based), Urban Planning & Governance, Contract Law & Public Procurement, and Lean Construction.
  • Digital & Analytical Skills: Emphasis on modern tools and technologies including BIM (Building Information Modeling), Data Analytics, Data Warehousing & Business Intelligence (Power BI), AI/ML for decision-making, and Computational Tools for Data Analysis.
  • Emerging Technologies & Systems: Exposure to Geographical Information Systems (GIS), Connected Technologies (IoT, Cloud, Privacy), and Supply Chain Analytics relevant to infrastructure systems.
  • Professional & Industry-Oriented Learning: Courses in Safety & Risk Management, Management Consulting Methods, Research Techniques, Professional Ethics, and PMI-aligned certification (CAPM).
  • Skill Development & Creativity: Early-stage courses in Programming, Visualization, Creativity & Innovation, and Entrepreneurial Thinking to build problem-solving mindset.
  • Electives & Specialization: Flexibility through elective courses in the final year, allowing students to tailor their learning based on career interests.
  • Experiential Learning (Internship & Capstone): Includes Summer Immersion, Industry Internship, and a Capstone Project in the final year focused on real-world applications.

Important details

Eligibility Criteria12th standard (or equivalent) with minimum 60% marks.
Tuition Fee5 Lac/Annum; food, accommodation and international immersion will be extra
Semester 1Semester 2
Earth and Environment – 2Introduction to Programming – 3
Building Materials – 3Building Drawing through BIM – 2
Micro-Economics – 3Corporate Finance – 3
Introduction to Statistics – 3Principles of Management – 3
Financial Accounting – 3Macro-Economics – 3
Business Communication – 2Computational Tools for Data Analysis – 3
Entrepreneurial Thinking and Mindset – 2Creativity, Innovation, and Ideation – 2
 Summer Immersion – 3
Semester 3Semester 4
Visualisation using BIM – 2Construction Planning & Management using BIM – 3
Intro to Infrastructure Management – 3Specification, Estimation, and Costing – 2
Construction Technology and Automation – 3Data Analytics / ML – 3
Modern Surveying – 4Project Finance and Management – 3
Business Strategy – 3Data Warehousing, BI, and Visualization (Power BI) – 3
Digital Marketing and Social Media Engagement – 3PMI Certification CAPM – 3
Research Techniques – 3Summer Internship – 3
Semester 5Semester 6
Geographical Information Systems – 3Urban Planning and Governance – 3
Lean Construction – 3Professional Ethics – 2
Safety & Risk Management – 3AI and ML Approaches to Decision Making – 3
Contract Law and Public Procurement – 3Supply Chain Analytics – 3
Connected Technologies (IoT, Cloud, Privacy) – 3Elective 2 – 3
Management Consulting Methods – 3Elective 3 – 3
Elective 1 – 3Capstone Project – 3
Semester 7Semester 8
Leadership in Construction – 3                 Industry Internship (20 credits)  
Sustainable Infrastructure and ESG – 3
Smart Cities and Climate Resilience – 3
Elective 4 – 3
Elective 5 – 3
Elective 4 – 3
Project – 6

FAQs

It combines business skills with infrastructure domain knowledge, opening careers in high-growth sectors like construction, real estate, and logistics.

It uniquely integrates business education with infrastructure sectors and a sustainability focus.

Yes, through internships, live industry projects, case studies, and industry interactions.  Students also gain exposure through global collaborations, exchange programs, and international case studies.

Yes, students learn practical tools like project planning, basic data analysis, and digital infrastructure concepts.

Graduates can work in infrastructure consulting, real estate, logistics, project management, and ESG roles.

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Ph.D. Programmes – School of Management

A doctoral programme that develops researchers and educators in management.

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Programme overview

The Ph.D. in Management at Mahindra University, offered by the School of Management (SOM), prepares scholars for careers in research, teaching and advanced professional practice. The programme combines rigorous coursework, interdisciplinary engagement and original research under the guidance of experienced faculty from Mahindra University and other reputed institutions.

Research-centred doctoral training

that develops scholars capable of conducting rigorous research and contributing to the advancement of management knowledge.

Specialised research areas

including economics, finance, decision sciences, marketing, information science and technology, and management disciplines such as strategy, entrepreneurship, organisational behaviour and human resource management.

Interdisciplinary academic mentorship

guided by experienced faculty from diverse disciplines and leading institutions.

Structured doctoral programme

a four-year programme with residential requirements; full-time scholars reside on campus, while part-time scholars follow full or partial residential arrangements.

Specialisations

Ph.D in Economics

Ph.D in Decision Sciences

Ph.D in Finance

Ph.D. in Business Administration: Marketing

Ph.D in Management

Ph.D in Information Science & Technology

Programme details

Eligibility criteria

The eligibility criteria ensure that applicants possess the required academic background and research aptitude to pursue doctoral studies. Candidates are advised to review the guidelines carefully before submitting their applications.

Educational qualifications

Applicants must have:

  • An MBA, master’s degree, or postgraduate diploma in a business-related discipline with a minimum of 60% marks.
  • A minimum of 60% marks in Class 10, Class 12, undergraduate and postgraduate studies.
  • Applicants who are completing their postgraduate programme may apply; however, they must submit the final transcript and degree certificate before the commencement of classes.

Standardised test scores

Applicants must submit one of the following:

  • GMAT – Official scores must be sent directly by GMAC. The GMAT programme code is JXX-TZ-44.
  • CAT – Valid CAT scores must be submitted.
  • GRE – Official GRE scores must be submitted.
  • MUMET (Mahindra University MBA Entrance Test) – Applicants may apply through the MUMET pathway.

Curriculum

The Ph.D. programme typically spans four years, with classes commencing in August or September each academic year.

The curriculum is designed to develop strong research and professional capabilities, including:

  • Business knowledge
  • Analytical and critical thinking skills
  • Communication skills
  • Proficiency in business and information technology tools

In the first year, students complete a set of common core courses, which include foundational business subjects as well as life-skills and research-oriented modules.

In the second year, students begin taking elective courses and may choose to specialise in one of the following areas:

  • Economics
  • Decision Sciences
  • Finance
  • Marketing
  • Information Science and Technology
  • Entrepreneurship
  • Organisational Behaviour / Human Resource Management (OB/HR)

Fee structure

The Ph.D. fee structure provides a clear overview of tuition and research-related expenses to help applicants plan their doctoral studies.

Full-time Ph.D. students
Full-time scholars will pay INR 50,000 per year, with a tuition waiver of INR 150,000, along with a one-time security deposit of INR 20,000. Students will receive a monthly stipend of INR 30,000, along with free accommodation and meals. Full-time scholars are also required to undertake 8 hours of teaching assistantship duties per week.

Part-time Ph.D. students
Part-time scholars will pay the full tuition fee of INR 200,000 per year, along with a one-time security deposit of INR 20,000.

Important dates

Aspiring researchers are invited to apply for Ph.D. admission to advance their expertise and contribute to research and knowledge creation in their chosen field.

Admission milestoneDate
Last date for submission of applications4 June 2025
Shortlisting of candidates for interview9 June 2025
Ph.D. entrance test / interview14 June 2025
Announcement of results30 June 2025
Commencement of Fall 2025 semester4 August 2025

FAQs

The programme offers specialisations in Economics, Finance, Decision Sciences, Marketing, Information Science and Technology, and Management (with areas such as Strategy, Entrepreneurship, Organisational Behaviour and Human Resource Management).

The Ph.D. in Management is typically a four-year programme that includes coursework, comprehensive assessment and independent research leading to a doctoral dissertation.

Yes. Full-time Ph.D. scholars are required to reside on campus for the duration of the programme. Part-time scholars may follow full or partial residential requirements as specified by the University.

The programme is guided by experienced faculty from the School of Management and other disciplines at Mahindra University, along with visiting scholars from reputed institutions.

Graduates typically pursue careers in academia, research institutions, consulting organisations, and leadership roles in industry where advanced research and analytical expertise are valued.

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Ph.D in Finance

A 4-6 year full time and part time doctoral programme in BA (Finance at Mahindra), preparing scholars for advanced empirical finance research and academic careers.

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Ph.D in Finance overview

This programme prepares scholars for careers in academic institutions worldwide, research oriented international and national organisations and analytically intensive roles in the financial sector. The specialisation focuses on empirical finance and capital markets, with faculty interests spanning market efficiency, volatility, mean reversion and connectedness of global financial markets and asset classes. Students experience:

Experience cutting edge empirical finance research

by working closely with faculty on projects involving capital markets data, market efficiency, volatility and global asset class connectedness.

Build depth across core finance areas

like corporate finance, asset pricing, derivatives, behavioural finance and fintech, shaping a thesis around important questions in financial markets.

Develop as a confident academic

with mentoring, teaching assistantships and research seminars that improve your writing, presentation skills and ability to frame finance research questions.

Gain rigorous quantitative and computational skills

through econometrics and programming that help you analyse large financial datasets and model risks, returns and policy relevant scenarios.

FAQs

The finance specialisation is designed to build a strong research profile in empirical and theoretical finance, combined with teaching experience. Graduates are well placed for tenure track academic positions as well as specialist roles in policy institutions, financial firms and research intensive organisations.

Scholars can explore a wide range of areas, including corporate finance, asset pricing, capital markets, derivatives, banking and financial institutions, sustainable finance, fintech, energy and commodities, and other domains that align with faculty expertise and industry relevance.

While a background in finance is helpful, the specialisation also welcomes strong candidates from economics, mathematics, statistics, computer science, engineering and physics who are motivated to work on rigorous, data driven finance questions.

The specialisation has a strong empirical focus. Scholars work with real market and macro-financial data, apply econometric and computational tools, and learn to answer questions that matter to investors, regulators and financial institutions.

Doctoral scholars receive close guidance from research active faculty, are encouraged to target good peer reviewed journals, and are supported to present their work at academic conferences, which helps them build visibility and a strong publication pipeline.

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Ph.D. in Business Administration (Marketing)

A programme designed for scholars who want to pursue rigorous, theory-driven and empirically grounded research in marketing and allied areas of management.

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Programme overview

The Ph.D. in Marketing prepares scholars to conduct and publish rigorous research on applied marketing problems. The programme emphasises theoretically grounded empirical analysis and the use of advanced quantitative methods to address managerially relevant marketing questions. Students develop strong research capabilities while working closely with faculty in an active and collaborative research environment.

Theory-driven research training

Advanced engagement with marketing theory, consumer behaviour, strategy and contemporary research literature that supports original scholarly inquiry.

Methodological depth and rigour

Structured exposure to quantitative research methods and analytical techniques for designing and executing high-quality empirical marketing research.

Research-focused academic culture

Participation in seminars, colloquia and collaborative research discussions that strengthen critical thinking and support the development of a strong research pipeline.

Close faculty supervision

Individual guidance from experienced faculty members to support research design, academic writing, publication development and preparation for academic careers at leading universities.

Core areas

Consumer behaviour

Focuses on developing and testing theories to understand consumer decision-making across diverse marketing contexts. Research in this area draws on insights from consumer behaviour as well as cognitive and social psychology. Faculty research topics include haptic perception and consumer responses, anthropomorphism, and branding.

Marketing strategy in the digital world

Examines how firms design and implement marketing strategies in an increasingly digital environment. Students study consumer behaviour in digital contexts as well as organisational strategies across digital channels. Research topics include digital marketing strategy, digital business model innovation, and marketing measurement and analytics

FAQs

This programme is suited for candidates who wish to pursue advanced research careers in marketing, consumer behaviour or management studies, particularly those aiming for academic, policy or research-focused roles.

The programme emphasises theory-driven and empirical research in marketing and allied areas. Scholars are encouraged to engage deeply with contemporary literature and develop original research contributions.

The programme typically begins with coursework in research methods and foundational domains, followed by comprehensive examination and full-time independent doctoral research under faculty supervision.

Each scholar works closely with a faculty supervisor who provides guidance on research design, methodology, academic writing and publication development throughout the doctoral journey.

Doctoral scholars participate in seminars, research colloquia and academic discussions that support peer learning, critical engagement and scholarly exchange.

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Ph.D in Management

A doctoral programme that prepares researchers for careers in academic research, teaching and thought leadership in management, with a focus on strategy, entrepreneurship, organisational behaviour and human resource management.

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Ph.D in management overview 

The M.A. in Education is designed for graduates who want to think deeply about education and its role in society. Students develop strong analytical, reflective and practical capabilities that support careers across education, research, policy and allied fields. Students experience:

Theory-centric research culture

Engage with foundational management theories and contemporary scholarly debates that support high-quality doctoral research.

Methodological depth

Develop rigorous research methods skills, both qualitative and quantitative, to design, execute and analyse original research.

Scholarly engagement

Participate in research seminars, colloquia and discussions that foster critical thinking and peer learning.

Faculty mentorship

Receive structured supervision and guidance from experienced faculty members throughout the research journey.

FAQs

Candidates with a master’s degree and strong research interest in management domains such as strategy, entrepreneurship, organisational behaviour or HRM.

Research broadly spans Management specialisations including strategy, organisational behaviour, corporate entrepreneurship, engagement at work and related contemporary questions. 

Full-time Ph.D. scholars receive a fee waiver, a monthly stipend, free boarding and lodging, and undertake teaching assistant duties as part of the support package. 

Yes. Part-time Ph.D. enrolment is available with a different fee structure, and without teaching assistant duties.

Graduates typically pursue academic and research-focused careers, contributing to knowledge creation and dissemination in business and management. 

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Ph.D in Information Science & Technology

A full-time or part-time doctoral programme that prepares scholars to lead research and teaching in information systems, digital transformation and technology-driven organisational change.

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Ph.D in information science & technology overview

This programme focuses on human–centred digital innovation and the design and management of information systems. Scholars work closely with faculty on research in human–computer interaction, management information systems and technology–enabled organisational change, building expertise that is equally valued in academia and data–driven industries.  Students experience:

Human-centred digital research

gives scholars strong grounding in human–computer interaction, mobile learning, e-health and technology-mediated collaboration, strengthening their ability to design impactful digital solutions.

Focus on information systems

exposes students to theories and cases on enterprise platforms, hospital information systems and decision support systems, aligning their research with real organisational transformation.

Interdisciplinary research

mentoring from faculty experienced in experimental, qualitative and ethnographic methods helps scholars build a strong publication pipeline in high-quality international journals.

Preparation for academic and industry careers

trains scholars for tenure-track positions worldwide as well as leadership roles guiding IT and analytics strategy in multinational organisations.

Core areas

Human-centred digital transformations

Explores how digital technologies support and transform human activities. Students engage with theories and case studies in computer-supported collaborative work and learning, human–computer interaction, and science and technology studies. Faculty research areas include mobile learning platforms, remote healthcare systems, and critical studies of machine learning and artificial intelligence.

Management information systems and organisational change

Examines how organisations adopt and manage information systems such as enterprise resource planning (ERP), hospital management information systems and decision support systems. Students study the economics of information systems, organisational and behavioural change related to technology adoption, and strategic management of digital technologies. Faculty research focuses on areas such as health information systems, education technology and e-governance.

FAQs

The programme is designed to train tenure-track faculty by combining rigorous coursework, strong research mentoring and opportunities to publish in reputed peer-reviewed journals in information systems and digital transformation.

Scholars can specialise in human-centred digital transformations or management information systems and organisational change, working on topics such as mobile learning, e-health platforms, e-government and critical studies of artificial intelligence systems.

By engaging with real-world contexts like enterprise systems, hospital information systems and digital platforms, scholars gain insights that are directly relevant to organisations undergoing technology-enabled change, making them valuable in consulting and leadership roles.

Each scholar works closely with experienced faculty supervisors and a research committee that monitors progress, provides feedback on research design and publications, and supports preparation for comprehensive examinations and thesis defence.

Ph.D regulations and the university’s research ecosystem encourage interdisciplinary work, allowing Information Science & Technology scholars to collaborate with engineering, law, media and design faculties on projects at the intersection of technology, organisations and society.

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