MBA Business Analytics
Data fuels innovation and growth in today’s digital era. The MBA in Business Analytics programme at MIT-WPU is a catalyst for innovation and growth in the digital age. The programme equips students to master data collection, analysis, and processing, enabling businesses to understand their audience and strategise for future growth. Students develop proficiency in interpreting data, gaining a competitive edge, and translating vast datasets into actionable business insights. With a focus on enhancing business acumen, critical thinking, and decision-making skills, students become invaluable assets in roles such as Marketing Managers, Financial Analysts, Operations Analysts, and more. The programme's hands-on learning approach ensures graduates are well-prepared for dynamic careers, while a mandatory internship further enhances their practical skills and industry exposure. The programme is a transformative journey that positions students for success in the evolving landscape of data-driven decision-making.
Last Date To Apply : 23 Dec 2024
MBA Business Analytics
Information on Scholarship 2025 will be updated shortly. Please check back soon.
Minimum 60% aggregate in Graduation (3/4 Year Full-time Bachelor’s Degree) in any stream from UGC approved University or equivalent (at least 55% marks, in case of Reserved Class category candidate belonging to Maharashtra State only) & Minimum 60% aggregate score in 10+2/Class 12th and Minimum 60% aggregate score in Class 10th with English subject as one of the subjects.
And
Valid non-zero score in the following National Level Test conducted by an apex testing body CAT 2024, XAT 2025, NMAT 2024, GMAT, PERA 2025, CMAT 2025, MAH-CET 2025 & Sep MAT 2024 onwards.
It is a must for any candidate applying for MBA to submit a valid non-zero score in the following National Level Test conducted by an apex testing body CAT 2024, XAT 2025, NMAT 2024, GMAT, PERA 2025, CMAT 2025, MAH-CET 2025 & Sep MAT 2024 onwards.
The candidates will be evaluated based on Entrance Exam Score, Group Discussion (GD)/ Extempore, Personal Interaction (PI), Past Academic Record, Statement of Purpose and Work Experience
*Note: MIT-WPU retains the right to make changes to any published schedule.
(The exact date and time of the online Group Discussion and Personal Interaction will be communicated to the candidate once scheduled)
- A dynamic case-based learning approach ensures the practical application of theoretical knowledge.
- Internal Competence for Outer Demand (ICODs) enhances core capabilities for real-world challenges.
- Focused start-up mentoring fosters entrepreneurial intelligence empowering students for innovative ventures.
- Industry visits, internships, and live projects bridge theory and practice enhancing industry exposure in the corporate realm.
- The MIT-WPU dedicated Centre for Industry-Academia Partnerships (CIAP) provides structured support for internships and job placements.
- The MIT-WPU Technology Business Incubator (TBI) offers funding, mentoring, and networking, supporting early-stage entrepreneurs.
- Embedded skills enhancement courses as part of the curriculum prepare students for the professional corporate landscape.
- The curriculum aligns with Bloom's Taxonomy and LOCF Model, ensuring a comprehensive and structured learning experience.
- Exposure to diverse cultural, economic, and business environments is achieved through rural, national, and international immersion programmes, offering a holistic educational experience.
- Benefit from competency mapping, enhancing career support and progression for individual growth.
- Tap into the wisdom of a distinguished Advisory Board comprising national and international experts.
- Learn from guest lecturers, management experts, and international faculty, enriching the overall educational experience.
- Apply advanced analytics techniques & tools to extract meaningful insights from intricate datasets.
- Make informed decisions by interpreting data and understanding its impact on organisational objectives.
- Use cutting-edge tools and technologies in business analytics for effective data analysis.
- Translate complex data findings into clear, actionable insights for impactful communication.
- Identify opportunities for process enhancement, contributing to heightened operational efficiency.
- Assess market dynamics, analyse competitors, and identify strategic opportunities for a competitive edge.
- Uphold the highest ethical standards in data collection, analysis, and interpretation.
- Work effectively in multidisciplinary settings, addressing complex business challenges with a holistic approach.
- Engage in continuous learning to stay abreast of emerging technologies and methodologies.
- Cultivate adaptability and resilience to navigate changes and disruptions in the field of business analytics.
100% placement assistance