ONLINE MASTER OF BUSINESS ADMINISTRATION
Eligibility:
Graduation in any discipline with 40% marks in the last qualifying examination. Below 40% marks, a test is conducted & if passed then the student is eligible for admission.
Applicants must possess sufficient knowledge and understanding of the English Language.
Key Features:
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This special program by Amity Online helps learners develop highly marketable skills to use leading statistical methods and data visualization tools for managing dynamic data. It is built around a result-focused challenging and comprehensive curriculum that will prepare a student for business leadership in the 21st century. Get an additional Online Certificate from Harvard Business School, an IVY League Business School. Harvard Business Publishing's Simulations on Real-world Scenarios Programming Languages & Development tools covered: Tableau, R, Hadoop, Python, Spark, PowerBI, mySQL, Excel. Online coursework with case studies, mini-projects and assignments & Practical business cases explored with Capstone Analytics Project. Amity's Online MBA is India's only online MBA to be ranked by QS globally. Total flexibility with Web Proctored Mode: freedom to take exams anywhere, as well as the choice to take Semester Breaks. Easy-to-use Learning Management System (LMS) accessible anytime, anywhere. Exclusive doubt clearing session per program every Semester. Study material available in downloadable pdf format as e-copy. 70+ Free Certificate Programs from Amity Open Learning System – Basic Communication, Time Management, Negotiation. Open-source resources and web-links also made available like Swayam videos, NPTEL videos for additional learning. Learning Outcomes: Develop highly marketable skills to use leading statistical methods and data visualization tools for managing dynamic data. Leverage your own innovative ability to compare and contrast descriptive analytics and predictive analytics. Execute the knowledge to set up a hypothesis test and understand non-parametric tests. Identify how to derive meaning from Big Data and apply emerging popular technologies and analytical techniques or models. Gain the expertise to use a wide range of modern statistical tools and software packages like R, Python, Excel, Tableau, MySQL, Power BI. Design a seamless absorption in applying Analytics to real-world business contexts. |
Post enrolment services through a dedicated Student Relationship Manager. Totally Online Admission Process including uploading of eligibility documents. Multiple fee payment options, including no-cost EMI from Fee Financing companies. Dedicated Career Support & Virtual Job Fairs With 100+ Hiring Partners. |
Curriculum:
| SEMESTER 1 | Managerial Economics Statistics for Management Professional communication Accounting for Managers Marketing Management |
| SEMESTER 2 | Legal Aspects of Business Business Research Methods Financial Management Human Resource Management Conflict Resolution and Management |
| SEMESTER 3 | Strategic Management Minor Project Professional Ethics Analysing and Visualizing Data with Power BI Forecasting Techniques Introduction to Business Analytics Supervised Learning Techniques |
| SEMESTER 4 | Major Project Management in Action - Social Economic and Ethical Issues Digital Marketing Big Data Analytics Optimization and Dimension Reduction Techniques |
Fee Details:
Full Fee: Rs. 179400.00
Fee per year: Rs. 92625.00
Fee per semester: Rs. 48750.00
Disclaimer:
The information /content provided above is replicated from sources like the website, online brochures and other such materials posted in the public domain by the University. Mydegreeonline.in does not vouch for the accuracy or completeness of information /content and therefore cannot be held liable for the same. Students are advised to do their own searches and research in case they wish to verify or authenticate the information /content. Students can also contact an MDO advisor who can be of assistance for any questions and also aid in connecting students with the appropriate university official for detailed information.
