M.B.A Business Analytics Program

Welcome to the Department of Management Studies at Graphic Era Hill University, where we are celebrating 25 years of excellence in research and education! The Department of Management Studies was established in 2003. Ranked 52 among the top management colleges in India by NIRF 2025 and awarded a Diamond rating by QS I-Gauge, the Department of Management Studies, at Graphic Era Hill University, is a renowned department that provides a transformative educational experience to its students and prepares them for successful careers.
The department encourages a multi-disciplinary perspective by providing opportunities to learn from other departments of the University. With a focus on global business practices and international exposure, the Department of Management Studies (DOMS), Graphic Era Hill University prepares students to become technology driven top managers, future business leaders, and entrepreneurs who can navigate and succeed in diverse cultural, technological, and economic environments.

Recognising the growing importance of data-driven decision making, Artificial Intelligence, and digital transformation across industries, the MBA Business Analytics curriculum also integrates contemporary learning in analytics, AI, emerging technologies, and modern business tools that are increasingly valued by employers worldwide. This helps students develop the ability to understand both business strategy and the technological shifts shaping the future of organisations.
Graphic Era is shaping the future of learning through its world-class Centres of Excellence, designed to equip students with industry-ready skills and hands-on expertise in business analytics:

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Launch your career in business with our M.B.A Business Analytics Program . Experienced faculty, hands-on learning, and industry connections.

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Important Links

Fee Structure

AWS Skill Builder University Campus and the nation’s First Future Ready GenAI Campus, enabling next-generation learning in Cloud Computing, Cloud-native solutions, Generative AI, and scalable digital solutions
Centre for Artificial Intelligence & High-Performance Computing, established in collaboration with NVIDIA, fostering innovation in AI, Deep Learning, and advanced computing technologies
iOS Development Center, powered by Apple and Infosys, empowering students to design and develop cutting-edge applications for the Apple ecosystem

Eligibility Criteria for the admissions in the Program

Bachelor’s degree in any discipline from a recognised university
Minimum 50% aggregate marks (45% for SC/ST candidates)
Valid CAT / MAT / XAT / CMAT / GMAT / GEU Entrance Test score
Admission will be granted by the university based on entrance test scores and personal interview, as per merit decided by the university

Teaching Pedagogies

The Department of management studies adopts innovative, student-centric teaching pedagogies designed to enhance conceptual understanding, practical proficiency, and industry readiness. Our approach integrates modern educational practices with emerging technologies to create an engaging, outcome-driven learning environment. Key pedagogical practices include:

Outcome-Based Education (OBE) All courses are structured around clearly defined learning outcomes to ensure measurable academic and professional growth.
Experiential & Hands-On Learning Strong emphasis is placed on practical learning through workshops, simulations, live projects, case analysis, analytics labs, and tool-based learning experiences.
Project-Based & Problem-Based Learning Students work on industry-relevant problems, case studies, mini-projects, business simulations, and capstone projects to develop analytical thinking and solution-oriented skills.
Flipped Classroom & Blended Learning Classroom time is enhanced through pre-class digital content, interactive discussions, collaborative exercises and applied learning activities.
Industry-Academia Engagement Regular expert lectures, corporate interactions, masterclasses, internships, certifications, and industry collaborations provide valuable real-world exposure.
Use of Modern ICT Tools Smart classrooms, LMS platforms, physical and virtual labs, AI development labs, data visualisation platforms, business simulation tools, and industry-standard coding environments support interactive and technology-driven learning.
Research-Oriented Teaching Students are encouraged to explore emerging trends, publish research papers, participate in hackathons, and engage in innovation-driven initiatives.
Continuous Assessment & Feedback Frequent quizzes, assignments, presentations, reviews, peer evaluations, and faculty mentoring help monitor progress and encourage continuous improvement.
Skill Development & Holistic Learning Equal emphasis is placed on communication skills, teamwork, leadership, professional ethics, adaptability, and lifelong learning to prepare students for dynamic global careers.

Career Pathways

With the growing demand for highly skilled management professionals across industries, MBA graduates can explore a wide range of leadership, functional, analytical, and consulting roles in corporates, MNCs, startups, banks, fintech, consulting firms, government organisations, and emerging digital enterprises.

Graduates may pursue the following opportunities:
Analytics, AI and Technology-Enabled Roles

Business Analyst
Data Analyst
Marketing Analyst
Financial Analyst
Product Analyst
Data Insights Specialist
BI Consultant
AI Project Coordinator

Senior Leadership (with experience)

Chief Executive Officer (CEO)
Chief Financial Officer (CFO)
Chief Operating Officer (COO)
Chief Human Resources Officer (CHRO)

Management, Strategy and Consulting

Management Trainee
Business Consultant
Strategy Associate
Operations Manager
Project Manager
Entrepreneur / Startup Founder

Marketing and Growth Roles

Marketing Manager
Brand Manager
Digital Marketing Specialist
SEO & SEM Analyst
Social Media Manager
Content Strategist
Sales Manager

Finance and Banking Roles

Finance Officer
Finance Consultant
Investment / Research Analyst
Banking Operations Manager
Risk and Compliance Executive
Fintech Associate

Human Resource Roles

HR Business Partner
Talent Acquisition Specialist
Learning & Development Manager
HR Analyst
Organisational Development Consultant

Sector-Specific Opportunities

Hospital Administrator
Healthcare Operations Manager
Supply Chain Manager
Aviation Business Analyst
Airport Operations Manager
Cargo Operations Head
Retail Operations Manager

PEOs (Program Educational Objectives)

PEO1: To produce graduates having knowledge, ability and skill to apply basic principles of management to plan, execute, monitor and evaluate business operations.
PEO2: To develop analytical aptitude and techno-managerial skills among students for effective coordination and communication for managing business organisations.
PEO3: To inculcate leadership qualities, interpersonal skills and professional traits among the students to work individually and in team.
PEO4: To sensitise the students towards issues like personal & professional ethics, environment conservation, culture and socio-political settings of immediate surroundings.

POs (Program Outcomes)

PO1: Apply knowledge of management theories and practices to solve business problems.
PO2: Foster Analytical, critical thinking and techno-managerial abilities for data-based decision making.
PO3: Ability to develop Value based Leadership ability.
PO 4: Ability to understand, analyse and communicate global, economic, legal, and ethical aspects.
PO 5: Ability to lead themselves and others in the achievement of organisational goals, contributing effectively to a team environment.
PO 6: Ability to develop entrepreneurial skills using innovative practices.

Curriculum

Trimester 1

Management Concepts and Organisational Behaviour
Business Environment
Managerial Economics
Financial Statement Analysis and Reporting
Marketing Management
Professional Communication
Statistics for Business
Introduction to Python and Excel
MOOC

Trimester 2

Human Resource Management
Supply Chain Management
Financial Management
International Business
Retail and E-commerce Management
Business Analytics with Python
Career and Life Skills-I
Power Apps / Certification / MOOCs

Trimester 3

Operations Management
Corporate Legal Environment
Business Research & Intelligence
Career and Life Skills-II
Advanced Excel / MOOCs / Certification
Discipline Elective
Specialisation Elective-I
Specialisation Elective-II
Specialisation Elective-III

Trimester 4

Strategic Management
Artificial Intelligence for Managers
Specialisation Elective-IV
Specialisation Elective-V
Specialisation Elective-VI
Specialisation Elective-VII
Career and Life Skills-III
Summer Internship Project
MOOCs / Certification

Trimester 5

Project Management
Entrepreneurship & Innovation
Specialisation Elective-VIII
Specialisation Elective-IX
Specialisation Elective-X
Specialisation Elective-XI

Trimester 6

Business Analytics Capstone Project / Venture Creation / Family Business Management – Dissertation

Business Analytics Elective Courses

Applied Programming for Business Analytics
Machine Learning for Strategic Decision Making
Deep Learning for Business
Natural Language Processing for Business
Generative AI and Large Language Models for Business Applications
Predictive Analytics for Competitive Advantage
Product Management for Tech-Driven Businesses
Prompt Engineering & AI Interaction Design
Big Data Analytics
Business Intelligence & Data-Driven Decisions
Data Warehousing and ETL
Financial Analytics & Valuation Using Data
Web and Digital Marketing Analytics
AI Strategy and Digital Transformation
Data Governance, Ethics, and Regulatory Framework of AI
Exploratory Data Analysis
Cloud Computing & Scalable Infrastructure
Operations Analytics & Supply Chain Optimisation

Frequently Asked Questions

What is the duration of the M.B.A Business Analytics program?

The programme is of 2 years (6 trimesters) duration, designed in accordance with applicable UGC/AICTE norms. The trimester system enables focused learning, continuous assessment, and wider course coverage.

What are the eligibility criteria for admission to M.B.A Business Analytics?

Candidates must have completed graduation from a recognised university/institution. Admission is based on merit, qualifying entrance test scores as applicable, and personal interview conducted by the University.

What are the career opportunities after completing M.B.A Business Analytics?

After completing an M.B.A., graduates can explore a wide range of career opportunities across industries. Popular roles include Business Analyst, Consultant, Marketing Manager, Finance Executive, HR Manager, Operations Manager, Strategy Associate, and Entrepreneurial ventures. Banking, fintech, and insurance offer strong financial and analytical career opportunities. Graduates may also build careers in marketing, branding, retail management, aviation, hospital administration, healthcare, sports management, and other specialised sectors. With growing industry demand for digital and data-led decision making, graduates may also pursue emerging opportunities in analytics, digital products, fintech, digital marketing, and technology-enabled management roles.

What is the syllabus of M.B.A Business Analytics?

The MBA curriculum covers key areas of management such as Applied Programming, Machine Learning, Deep Learning, Natural Language Processing, Generative AI, LLM, Business Analytics along with Strategy, Economics, Finance, Marketing, Human Resource Management, Operations, Entrepreneurship, and Business Environment. Specialisations offer students the opportunity to learn niche sectors such as aviation, hospital administration, retail and sports management, and other latest industry-relevant disciplines. In addition, the MBA programme offers contemporary exposure to research projects, internships, certifications, and capstone learning experiences aligned with current industry needs.

Why choose Graphic Era for M.B.A Business Analytics?

Graphic Era offers a strong industry-oriented curriculum, academic environment, experienced faculty, modern infrastructure, innovation ecosystem, and growing focus on emerging areas such as Analytics, AI, and Digital Transformation. Students benefit from practical exposure through projects, internships, certifications, and career development support.