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MBA | Business Analytics & Business Intelligence| BA & BI

Scope & objectives

Core Business Foundation: The MBA in Data Analytics and Business Intelligence programme 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 outlook, preparing graduates to navigate diverse business environments—an essential element of leading MBA programmes in Business Analytics in Bangalore.

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 BI tools like Tableau, Power BI, and Qlik, enabling students to create impactful visualisations and dashboards.

Big Data Technologies: The programme covers key big data technologies such as Hadoop and Spark, equipping students with skills to manage large datasets efficiently.

Data Governance and Ethics: The ethical implications and governance frameworks surrounding data are also addressed, ensuring responsible and compliant data practices in business.

Industry Applications: Real-world case studies and projects in collaboration with industry partners allow participants to apply their learning to genuine business challenges.

Industry Recognition: Designed in consultation with industry experts, the programme ensures students acquire skills that are both relevant and recognised in the business analytics and intelligence fields.

Networking Opportunities: Participants will gain access to valuable networking opportunities with industry professionals and alumni, fostering connections that could lead to promising career prospects.

Programme Outcome

Graduates will be able to:

PO1: Demonstrate advanced business acumen, enabling them to understand key business functions and organisational resources for efficient business management in a globalised environment.

PO2: Apply entrepreneurial, analytical, and managerial skills for effective business management.

PO3: Develop skills to be life-long learners in a globalised and knowledge-driven society, using both classroom and online resources such as SWAYAM and MOOCs.

PO4: Address issues of social responsibility, including business ethics, cultural diversity, environmental concerns, and sustainable development.

Course Outcomes Visit

What expertise do you gain?
  • Data Analytics and Visualisation
  • 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 Opportunities

  • 01
    Data Analyst
  • 02
    Supply Chain Analyst
  • 03
    Big Data Analyst
  • 04
    Business Analyst
  • 05
    Predictive Modeller

Testimonials

01

Laiebah Saleem

MBA (Accounts, Finance & Business Analytics)
ACCP AY(2025-26)
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