Management - faqs

The department offers a two-year full-time MBA program, including specialized MBA programs such as:

• MBA
• MBA in Artificial Intelligence and Data Science
• MBA with Hospital Administration
• MBA with Aviation Management

Duration: 2 years (6 Semesters)

Structure includes:

• Core management courses
• Specialization electives
• Project Based Learning (PBL)
• Summer Internship Project (SIP)
• Final Research/Industry Project
• Skill enhancement and value-added courses

• Bachelor’s degree of minimum 3 years duration from a recognized university
• Admission granted as per merit and university norms
• Final-year graduation students are eligible to apply

The admission process includes:

• Aptitude Test
• Personal Interview / Self-introduction video
• Candidates with valid CAT / MAT / XAT / CMAT / NMAT scores may be exempted from the aptitude test, as per university policy

Students can choose from industry-relevant specializations such as:

• Marketing
• Finance
• Human Resource Management
• Business Intelligence & Analytics
• Digital Marketing
• Fintech
• Logistics & Supply Chain Management
• International Business
• Entrepreneurship
• Sports Management

Yes

• Summer Internship Project (SIP) is mandatory
• Internships provide hands-on exposure to corporate, consulting, analytics, BFSI, IT, and service sectors
• Internships often lead to pre-placement opportunities

The department offers structured placement support through:

• Dedicated Placement Cell
• Internship and final placement coordination
• Industry mentoring and career guidance
• Resume building, mock interviews, and soft-skill training

Over recent years, 300+ MBA students have been placed annually, with several students opting for entrepreneurial ventures.

MBA graduates pursue roles such as:

• Marketing Manager
• Financial Analyst / Manager
• HR Manager
• Business Consultant
• Operations & Supply Chain Manager
• Data & Business Analyst
• Entrepreneur / Startup Founder

Graduates work across sectors including finance, consulting, IT, healthcare, logistics, manufacturing, and services.

MBA graduates are recruited by leading organizations such as:

• 3SC
• Axis Bank
• Bank of America
• Coding Ninjas
• Reliance Jio
• Grant Thornton
• Crescendo Global
• Capgemini
• Café Coffee Day
• Berger Paints
• BNY Mellon
• Flipkart
• GMI Research
• The Muthoot Group
• OYO
• IndiaMART
• SMC Global
• Zomato
• Tech Mahindra
• Bajaj Finance
• Delhivery
• Visa
• Hindustan Times

Key differentiators include:

• Ranked 52 in Management Category by NIRF
• NAAC A+ accredited university
• Strong industry and academic collaborations
• Advanced labs including AI & Business Simulation Labs
• Global exposure and international academic partnerships

• Highly experienced faculty with PhDs from reputed Indian and foreign universities
• Faculty with industry and research experience
• Two faculty members featured in Stanford University’s Top 2% Scientists’ List

The department follows experiential and outcome-based learning, including:

• Case studies
• Simulation-based learning
• Project Based Learning
• Industrial visits
• Guest lectures by industry experts

Students have access to:

• Business Simulation Labs
• Advanced AI Lab powered by NVIDIA DGX B200 GPUs
• Smart classrooms, seminar halls, and library resources

Yes. Students benefit from:

• International conferences and workshops
• Student exchange and immersion programs
• Academic collaborations with international universities
• Global guest lectures and joint academic activities

MBA students are encouraged to:

• Publish quality research papers
• Participate in national and international conferences
• Work on interdisciplinary research projects
• Collaborate with faculty on funded research

Students have collectively contributed to various Scopus-indexed publications.

Yes.

• Active Entrepreneurship Development Cell (GEDC)
• Startup mentoring, ideation support, and incubation
• Participation in national startup challenges and competitions

Over 60+ students have pursued entrepreneurial ventures.

Yes.

• Merit-based scholarships
• Government and institutional scholarship schemes
• Financial assistance as per university norms

Yes.

• Separate hostels for boys and girls
• On-campus residential facilities
• Safe, secure, and well-maintained environment

Evaluation includes:

• Continuous internal assessments
• End-semester examinations
• Project work and presentations
• Internship and research project evaluation

No.

• Fresh graduates as well as working professionals are eligible
• Work experience is an added advantage but not mandatory

Students receive training in:

• Communication and presentation skills
• Leadership and teamwork
• Professional ethics and values
• Career readiness and corporate etiquette

Graphic Era is the preferred choice of students because of:

• Industry-aligned curriculum
• Excellent placement and internship support
• Research-driven academic environment
• Global exposure and modern infrastructure
• Strong national rankings and accreditations

The program is of 2 years (6 trimesters) duration, in accordance with UGC/AICTE norms.

Candidates must have completed graduation from UGC-approved institution. Admission is based on merit and a personal interview conducted by the University.

After completing an M.B.A, graduates can explore a wide range of career opportunities across industries. Popular roles include business analyst, auditor, consultant, and strategist, where professionals focus on decision-making and organizational growth. Careers in banking, fintech, and insurance offer strong financial and analytical prospects. Opportunities also exist in marketing, branding, and retail management. Sector-focused roles are available in aviation, hospital administration, and sports management. Those interested in people-centric roles can pursue talent management and human resource management. An M.B.A also supports entrepreneurship by providing skills to start and manage businesses effectively in dynamic markets.

The syllabus of MBA typically includes advanced topics in business intelligence and analytics for the domain expertise in strategy, economics, business environment, business analytics, finance, marketing, human resource, hospital administration, aviation, digital marketing, international business, branding and advertising, logistics and supply chain management, entrepreneurship, banking and insurance, retail management, sports management. The curriculum provides opportunity for developing problem solving skills with corporate exposure by summer internship, real life projects and dissertation.

Candidates with a valid UGC-NET (Category 1, 2 or 3) or GATE score are exempted from the written test. However, they must attend the online interview.

• Mode :  Online
• Type : MCQ
• Sections : 50% Research Methodology + 50% Subject-Specific (as per GATE/UGC-NET syllabus)
• Qualifying marks : 50%
• Interview : Same day (online), where candidates discuss their research interests.

Yes. The University offers: Rs. 36,000/month (for UGC-NET Category 1) Up to Rs. 32,000/month (for UGC-NET Category 2 & 3 or GEU Entrance Top Rankers) Meritorious Scholars’ Research Grant up to Rs. 2,00,000 per year Merit-cum-means tuition fee waivers

Scholars have access to:

• Advanced laboratories & research centres
• Technology Business Incubator support
• Publication & patent guidance
• International workshops and conferences
• Experienced supervisors and interdisciplinary research culture

Yes. Part-Time applicants must submit a No Objection Certificate (NOC) from their employer.

Yes. Fee structure varies for Full-Time and Part-Time candidates.

All information—exam link, schedule, and interview details—will be sent to the registered mobile number and email.

The program is of 2 years (6 trimesters) duration, in accordance with UGC/AICTE norms.

Candidates must have completed graduation from UGC-approved institution. Admission is based on merit and a personal interview conducted by the University.

Completing an MBA in artificial intelligence and data science opens a singular and strong career path at the crossroads of business leadership and cutting-edge technology. For their combined capacity to develop data-driven commercial strategy and grasp the technical implementation of AI/ML solutions, graduates are much wanted. This hybrid profile provides opportunities for positions requiring strategic influence, including Chief of Staff for Data & Analytics, Strategic Analytics Consultant, and AI Product Manager, where they turn complicated insights into practical plans for the C-suite. Equally qualified for leadership roles like Data Science Manager, Director of Analytics, and Head of AI, they help to unite technical teams with business goals. Furthermore, the degree opens doors in entrepreneurship, Venture Capital (focused on deep tech), and Digital Transformation, hence enabling graduates to propel innovation from within existing companies or by starting their own AI-driven ventures. Graduates are finally positioned as the vital "translators" who can use artificial intelligence to address actual corporate problems and gain great competitive edge across high-growth sectors from tech and finance to healthcare and retail.

The syllabus for an MBA in AI & Data Science is typically a rigorous, interdisciplinary curriculum designed to forge a hybrid professional skilled in both strategic business management and advanced data technologies. The program is usually structured into a core business foundation—covering traditional MBA subjects like Marketing, Finance, Operations, Strategy, and Organizational Behavior—and a specialized AI/DS core that dives into topics such as Programming for Data Science (Python/R), Statistics & Probability, Machine Learning, Deep Learning, Natural Language Processing, and Big Data Technologies. A critical bridge is formed through applied courses like Data-Driven Decision Making, Business Analytics, AI Strategy & Governance, and Analytics for Marketing/Finance/Operations. The program emphasizes practical, hands-on learning through capstone projects, live industry case studies, and internships, where students solve real business problems using AI tools. Ethics, data privacy, and the strategic implementation of AI in organizations are also integral components, ensuring graduates are prepared not just to build models, but to lead responsible, impactful, and scalable AI initiatives within a business context.