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

2024-25

Programme Structure

Business Analytics and Business Intelligence 2023

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

SEMESTER I

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)

SEMESTER II

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)

SEMESTER III

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)

SEMESTER IV

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."