BBA Artificial Intelligence & Business Intelligence (Hons)
Programme Overview
Data has emerged as a core strategic asset, making Artificial Intelligence (AI) and Business Intelligence (BI) essential drivers of modern business efficiency, fraud detection, customer personalisation, and supply chain optimisation. Bridging the divide between highly technical, code-heavy engineering degrees and traditional business management programmes, the four-year BBA (Hons.) in Artificial Intelligence & Business Intelligence at MIT World Peace University Pune prepares students to become strategic translators between complex tech and corporate strategy.
Designed to meet the demands of Industry 4.0, the curriculum integrates foundational management principles with hands-on expertise in Artificial Intelligence, Machine Learning, Business Analytics, Data Visualisation, Predictive Modelling, and Intelligent Automation. Through analytics labs, business simulations, internships, real-world case studies, and research projects, students develop the analytical rigour and ethical framework needed to drive digital transformation across BFSI, retail, healthcare, consulting, and tech-driven enterprises.
Vision
To be a premier hub for management education in India, through value-based education, creating ethically grounded business leaders, entrepreneurs, and critical thinkers who harness artificial intelligence and data intelligence acumen for sustainable digital transformation, rooted in Indian ethos.
Mission
M1 : Develop skilled, value-driven business leaders equipped with AI and analytics expertise to excel in dynamic markets.
M2 : Foster creativity and mentorship to empower students to build and lead AI-native and tech-enabled ventures.
M3 : Promote research-based education in applied AI/BI, and conduct new research for modern business management practices.
M4 : Cultivate cross-cultural understanding, confidence, and a global mindset for navigating global AI & BI practices.
Programme Educational Objectives (PEOs)
- To allow all participants to recognise, comprehend, and apply the language, theory, and models of Business.
- To develop students’ capacity to analyse, synthesise, and solve complicated unstructured business situations.
- To encourage experience sharing to maximise the advantages of collaborative learning.
- To instil ethical decision-making and dedication to the long-term well-being of both organisations and the communities they serve.
Major Tracks
- Business Analytics & Decision Intelligence
- Artificial Intelligence & Machine Learning
- Digital Transformation & Innovation
- Enterprise Intelligence & FinTech
- Research, Entrepreneurship & Emerging Tech
Duration & Fees
Scholarship
| Scholarship for AY 2027-28 | JEE Main Percentile | MH-CET Percentile |
|---|---|---|
|
Dr. Vishwanath Karad Scholarship (100%) |
94 & Above |
95 & Above |
|
MIT-WPU Scholarship I (50%) |
92 & Above |
93 & Above |
|
MIT-WPU Scholarship II (25%) |
91 & Above |
92 & Above |
Note : Scholarships are offered based on performance in entrance examinations and academic achievements.
Terms & Conditions Apply
- All Scholarships are awarded on a First Come First Serve basis. All Scholarships are awarded as fee adjustments.
- To continue the scholarship for the entire duration of the programme, a minimum level of the academic score has to be maintained at an 8 CGPA across all semesters, attendance is to be maintained at a minimum of 80 percent, with no live backlogs in any subject/programme and no semester break, and there should be no disciplinary action against the student.
For more detailed information visit our website: https://mitwpu.edu.in/scholarships
Programme Highlights
- 4-Year NEP-Aligned Framework : Flexible multi-entry and multi-exit structure offering Certificate, Diploma, Degree, or Honours / Honours with Research designations.
- Applied AI Business Lab : Hands-on experiential learning model where students build real-world dashboards, predictive models, and evaluate AI applications.
- Flexible Pathways : The curriculum prepares you for Financial Technologies, Marketing Technologies, HR Technologies and Machine Learning Systems for Business, etc.
- Management + Tech Integration : Blends core business disciplines with generative AI, machine learning, data visualisation, and more.
- Practical Learning : Focuses on business simulations, AI/BI laboratories, industry live projects, and portfolio building.
- Interdisciplinary Ecosystem : MIT-WPU offers state-of-the-art labs, industry collaboration and an interdisciplinary ecosystem to create wider exposure and understanding.
- Research Identity : A research-driven, tech-enabled degree empowering students at the intersection of AI, Business Intelligence, Data Analytics, and Management.
- Industry Collaboration : Drives continuous industry engagement through structured partnerships with tech firms, consulting leaders, analytics organisations, and digital enterprises.
- University Values : Embeds peace, ethics, Indian Knowledge Systems, and scripture-based leadership into a modern technology-driven programme.
Career Prospects
AI Business Analyst
FinTech Business Analyst
Business Intelligence Associate
AI Product Associate
Junior Product Analyst
Digital Transformation Associate
Marketing Analytics Analyst
People Analytics Associate
Programme Outcomes
- Disciplinary Knowledge : Apply fundamental concepts of management, finance, marketing, and operations to solve real-world business challenges.
- Critical Thinking : Analyse complex business problems using data-driven approaches, critical thinking, and logical reasoning.
- Ethical Leadership : Integrate peace, sustainability, Indian Knowledge System (IKS), and ethical principles into business practices.
- Global Perspective : Demonstrate cross-cultural intelligence and international business acumen in dynamic global markets.
- Effective Communication : Articulate data insights, business strategies, and technological solutions with professional clarity.
- Analytical Reasoning : Utilise financial, marketing, and analytical tools to drive organisational growth and innovation.
- Teamwork & Collaboration : Lead and collaborate effectively within diverse organisational settings and cross-functional teams.
- Entrepreneurial Mindset : Identify market gaps, design innovative solutions, and build sustainable business ventures.
- Lifelong Learning : Stay updated with emerging industry trends, technologies, and best industry practices.
- Research & Innovation : Integrate research and innovation into business decision-making to contribute to organisational excellence.
FAQs
While a B.Tech focuses heavily on low-level coding, software engineering, and system architecture, the BBA (Hons.) AI & BI focuses on applied AI, business analytics, data visualisation, and digital strategy, training graduates to solve core business problems using intelligent technology.
No, the programme builds analytical skills from the ground up, starting with management foundations and basic data science before progressing to machine learning tools, business intelligence platforms, and practical AI applications.
Students can exit after Year 1 with a Certificate, Year 2 with a Diploma, Year 3 with a BBA Degree, or complete Year 4 for an Honours / Honours with Research degree in Artificial Intelligence & Business Intelligence.
admissions@mitwpu.edu.in
