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MBA | Business Analytics & Business Intelligence

In today's rapidly evolving business landscape, data has become a cornerstone for strategic decision-making. The MBA with specialization in business analytics (MBA-BA&BI) program is designed to equip professionals with the skills and knowledge necessary to harness the power of data for informed business strategies.

The MBA in Business Analytics and Business Intelligence is a cutting-edge program that merges traditional business knowledge with modern data analytics tools. By the program's end, graduates will possess the skills and insights needed to drive business success in the data-centric era. CMRU-MBA-BA and BI empower individuals to expertly analyze and leverage data for sharper insights and informed decision-making, crucial for business expansion in today's data-driven landscape.

The curriculum covers everything from the basics to advanced business analytics methods, facilitated by experienced mentors who enhance strategic thinking and practical application. The program ensures a seamless integration of industry-relevant skills in data analysis for participants, aligning well with the growing demand for an MBA in Business Intelligence and Data Analytics.

duration

2 Years (4 Semesters )

Programme type

Full time

Programme Regulations

Programme Structure

Business Analytics and Business Intelligence 2025

Eligibility Criteria

Candidates should have passed with a minimum of 50% marks (45% in case of SC/ST candidates) in aggregate in the Bachelor’s degree of minimum three (03) years duration in any discipline from a recognized university.

Additionally candidates must appear for a national-level management aptitude test such as CAT, XAT, MAT, CMAT, ATMA, or KMAT with valid scores.

Key Features

  • Core Business Foundation: The program begins with an in-depth exploration of essential business concepts, ensuring that participants develop a robust understanding of core business principles.
  • Data Analytics Techniques: Participants will engage in statistical analysis, machine learning, and data mining techniques, gaining hands-on experience with tools such as Python, R, and SQL.
  • Business Intelligence Tools: The curriculum includes practical training with leading business intelligence tools like Tableau, Power BI, and Qlik, empowering students to create impactful visualizations and dashboards.
  • Big Data Technologies: Understanding the significance of big data is crucial. The program covers key technologies like Hadoop and Spark, equipping students with the skills to handle large datasets efficiently.
  • Data Governance and Ethics: The program also covers the ethical implications and governance frameworks surrounding data, ensuring responsible and compliant usage in business practices.
  • Industry Applications: Real-world case studies and projects, in collaboration with industry partners, enable participants to apply their learning to solve genuine business problems.
  • Industry Recognition: Designed in consultation with industry experts, the program ensures that students are equipped with skills that are relevant and recognized in the business analytics and intelligence fields.
  • Global Perspective: The curriculum is structured to offer a global perspective, preparing graduates to effectively navigate diverse business environments.
  • Networking Opportunities: Participants will have access to valuable networking opportunities with industry professionals and alumni, fostering connections that could lead to promising career opportunities.

Scope & Objectives

  • Core Business Foundation: The MBA in Data Analytics and Business Intelligence program begins with a comprehensive exploration of fundamental business concepts, ensuring that participants have a solid understanding of business principles.
  • Global Perspective: The curriculum is crafted to provide a global perspective, preparing graduates to navigate diverse business environments, which is a key aspect of the MBA in business analytics colleges in Bangalore

Programme Structure

  • Managerial Economics
  • Accounting for Managers
  • Quantitative Methods
  • Information System and Business Analytics
  • Marketing Management
  • Business Statistics with R
  • Human Resource Management
  • Community Service – I (COS- I) *
  • Career Preparedness Program – I (Oral and Written Communication+Career Essentials + Prepare for Aptitude Test – I)
  • International Business Management
  • Business Research Methods
  • Financial Management
  • Operations Research for Managers
  • Business Analytics
  • Business Intelligence
  • Database Management Systems with SQL
  • Power BI
  • Internship I (CIP)†
  • Community Service-II (COS-II) *
  • Career Preparedness Program – II (Design Thinking + Career Effectiveness + Prepare for Aptitude Tests – II)
  • Strategic Analysis and Management
  • Operations Management
  • General Elective
  • Financial Analytics
  • BI Reporting for Managers (MOOC Course)
  • Data Mining Intelligence
  • Web Data Extraction and Analysis
  • Ethics & Values
  • Internship II (SIP)†
  • Career Preparedness Program – III (Strategy for Self-Management)
  • Legal Environment of Business
  • Leadership and Capacity Building
  • Marketing Analytics
  • General Elective
  • Research Publication
  • Internship I (CIP)
  • Internship II (SIP)
  • Capstone
  • Community Service-I (COS-I)
  • Community Service-II (COS-II) *

Programme Assessment

  • Data Analytics Techniques: Participants will engage in statistical analysis, machine learning, and data mining techniques, gaining hands-on experience with tools such as Python, R, and SQL.
  • Business Intelligence Tools: The curriculum includes practical training with leading business intelligence tools like Tableau, Power BI, and Qlik, empowering students to create impactful visualizations and dashboards.
  • Big Data Technologies: Understanding the significance of big data is crucial. The program covers key technologies like Hadoop and Spark, equipping students with the skills to handle large datasets efficiently.
  • Data Governance and Ethics: The program also covers the ethical implications and governance frameworks surrounding data, ensuring responsible and compliant usage in business practices.
  • Industry Applications: Real-world case studies and projects, in collaboration with industry partners, enable participants to apply their learning to solve genuine business problems.
  • Industry Recognition: Designed in consultation with industry experts, the program ensures that students are equipped with skills that are relevant and recognized in the business analytics and intelligence fields.
  • Networking Opportunities: Participants will have access to valuable networking opportunities with industry professionals and alumni, fostering connections that could lead to promising career opportunities.

Program Outcome

Graduates will be able to:
  • PO1: Demonstrate advanced business acumen, which will enable them to understand the key business functions and organizational resources for efficient business management in a globalized environment.
  • PO2: Apply the entrepreneurial, analytical, managerial skills for effective business management.
  • PO3: Develop skills to be a life-long learner for a globalized business and knowledge society in future using both classroom and online courses with Swayam and MOOCs.
  • PO4: Address naturalization with social responsibility issues, including business ethics, cultural diversity, environmental concerns and sustainable development.

Program Specific Outcomes



Graduates will be able to:
  • PSO1: Demonstrate advanced proficiency in utilizing analytical methodologies and tools specific to business analytics and business intelligence, enabling informed decision-making and strategic planning within organizations.
  • PSO2: Apply business acumen and specialized management techniques tailored to the dynamic nature of business analytics and intelligence fields, thereby effectively managing resources and optimizing performance in evolving business environments.
  • PSO3: Acquire in-depth knowledge and skills in business analytics and intelligence, fostering a mindset geared towards leveraging data-driven insights to enact positive global change and drive innovation within organizations.
  • PSO4: Exhibit strong leadership competencies by effectively leading teams in implementing cutting-edge analytics solutions, fostering collaboration, and inspiring organizational change to enhance competitiveness and sustainability in the digital age.

Course Outcomes


MBA (BA & BI) Course Outcomes

What expertise will you gain?

Data Analytics and Visualization

Predictive and Prescriptive Analytics

Business Intelligence Tools and Techniques

Big Data Management and Applications

Statistical and Quantitative Analysis

Machine Learning for Business Decision-Making

Data-Driven Strategic Planning

Financial and Market Analytics

Artificial Intelligence in Business Applications

Ethical and Legal Aspects of Data Analytics

Career Opportunity

  • Data Analyst
  • Supply chain analyst
  • Big data analysts
  • Business analysts
  • Predictive modelers

Placements at

CMR University

200+ Recruiters, Pre-Placement modules from first semester focus on employability, emphasis on experiential learning, extensive focus on Internships, Training for competitive examinations – CAT, GRE, TOEFL, CMAT, Bank PO, and more.

Testimonials

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."

Radheshyam Thakur

BCA

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."

Radheshyam Thakur

BCA

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FAQs

Students interested in data, business strategy, analytics, and BI-related roles can consider this specialisation. It is ideal for those who want to understand how data supports business decision-making and strategic planning.

Bangalore, being a major technology and business hub, offers students strong exposure to evolving trends in analytics and business intelligence. The city’s diverse industry ecosystem allows learners to connect academic knowledge with real-world applications.

The curriculum typically covers business intelligence concepts, analytics frameworks, data interpretation, reporting, business strategy, and decision-making principles. The specific subjects may vary depending on the university.

Graduates can explore roles in analytics support, business intelligence, data reporting, interpretation, and strategy. Career opportunities depend on a student’s skill set, experience, and the requirements of different industries.

Students who enjoy data-driven thinking, analytical reasoning, and strategic problem-solving often find this specialisation rewarding. Its value depends on current industry trends and the student’s long-term career goals.

The scope continues to expand with increasing adoption of data and analytics across sectors. Career opportunities depend on industry demand, technological advancements, and the individual’s expertise in applying BI tools and concepts.

Students choose CMR University for its industry-focused academic environment, location advantage, and exposure to Bangalore’s vibrant business ecosystem. The programme’s design aligns with evolving market needs, ensuring both academic depth and industry relevance.

Yes. Many students without prior experience in analytics choose this programme. The curriculum typically begins with foundational concepts before progressing to advanced topics, enabling beginners to build a strong understanding step by step.

Most universities, including CMR University, integrate practical learning through projects, case studies, and internships. Students are encouraged to review the course structure and teaching methodology to understand the balance between theory and practice.

In India, most MBA programmes follow a two-year structure. Students should review specific programme details, as duration and design may vary between universities.

Universities may accept entrance exams such as CAT, MAT, CMAT, KMAT, PGCET, or conduct their own tests. Applicants are advised to check the official university website for eligibility and admission requirements.

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