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Online MSc in Business Analytics at Manipal Academy of Higher Education (MAHE)
is a two-year degree programme. It equips students with the skills essential to thrive in the rapidly evolving field of business analytics. The Online MSc in Business Analytics at MAHE provides statistical analysis, predictive modeling, and machine learning techniques for data-driven decision-making.
The MAHE Online MSc Business Analytics fee is Rs. 2,60,000 which students can pay semester-wise, with Rs. 65,000 per semester. After completing the programme, students will develop a deep understanding of analytical methods and tools, as well as the ability to apply them effectively in real-world business scenarios.
Candidates interested in pursuing the MAHE Online MSc in Business Analytics must meet the eligibility criteria defined by the university. The online MSc Business Analytics eligibility criteria at Manipal Academy of Higher Education are as follows:
Candidates must have completed their bachelor’s degree in any discipline with statistics as one of the subjects from a recognised university.
Candidates should have scored a minimum of 50% marks or equivalent grade in graduation.
Work experience is not mandatory, however, having the same would add greater advantages.
The Online MSc in Business Analytics at Manipal Academy of Higher Education admission process includes the submission of the duly filled and signed online admission form along with the relevant documents and the admission fee as applicable.
Thereafter, they would be provided essential credentials and details to access the programme.
Candidates seeking to enroll in the MAHE Online MSc in Business Analytics may follow the below-mentioned steps:
Visit the official programme URL- https://mahe.onlinemanipal.com/msc-in-business-analytics
Navigate through the Online MSc programme
Click on the Apply Now option
Fill in the required details
Complete the admission process by filling in an application form online
Upload the required documents
Pay the admission fee
Once the application and the admission fees are submitted by candidates, the university will contact them. It will provide them with credentials so that candidates can start their learning.
The online MSc Business Analytics syllabus is divided into four semesters covering core subjects and electives. The curriculum also encompasses one capstone project in the final semester. The detailed syllabus of the online MSc in Business Analytics at MAHE is mentioned below:
Financial Reporting & Statement Analysis
Business Statistics
Managerial Economics
Programming with R & Python
Database Management
Business Econometrics
Financial Management
Applied Multivariate Data Analysis
Data Visualization
Design and Analysis of Experiments
Mini Project
Time Series Analysis
Machine Learning Methods
Deep Learning and Text Mining
Project Management
Big Data Analytics
Elective (Marketing): Marketing Analytics, Digital and Web Analytics
Elective (Finance): Financial Assets Valuation, Financial Analytics
Capstone Project
Students need to perform well in both Internal Assessment (IA) and End Term Examination (ETE), with 30% and 70% weightage, respectively.
A student must score a minimum of 40% in Internal Assessment to become eligible for the end-term examination. Those who score a minimum of 40% marks in the end-term examination will be considered as having passed the course.
This online degree programme spans over two years, divided into four semesters. Students will also have the flexibility to the course within four years.
Applicants must hold a bachelor's degree with statistics as one of the main subjects. Additional requirements may include a minimum GPA.
Work experience is not mandatory. However, having the same would add an advantage at the of admission.
The online format of the programme offers flexibility for working professionals to balance their studies with their career commitments.
The programme opens room for various career options in industries like retail, logistics, healthcare, and manufacturing. Graduates can land careers as business analysts, data analysts, financial analysts, and others.