MSc in Business Analytics - MAHE Online
The online Master of Science in Business Analytics (MSc-BA) from Manipal Academy of Higher Education (MAHE) equips professionals with comprehensive skills in data analysis, visualization, and machine learning. This UGC-entitled program combines theoretical knowledge with practical applications, preparing students for leadership roles in analytics across industries. Through hands-on projects and industry-relevant coursework, students master tools like Python, R, and PowerBI while developing expertise in statistical analysis and data-driven decision making.
Instructors:
English
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Course Start Date:
Starting soon
Application Deadline:
Closing Soon
Duration:
24 Months
₹ 2,80,000
Overview
The MSc in Business Analytics program from MAHE is designed for professionals seeking to excel in the data-driven business world. With a comprehensive curriculum covering statistical analysis, machine learning, and data visualization, students develop the expertise needed for leadership roles in analytics.
Why MSc (Master of Science)?
Our program stands out through its blend of theoretical foundations and practical applications. Students benefit from MAHE's prestigious NAAC A++ accreditation, expert faculty, and strong industry connections. The flexible online format with campus immersion opportunities ensures a well-rounded learning experience.
What does this course have to offer?
Key Highlights
Industry-aligned curriculum
Flexible online learning
Prestigious MAHE alumni status
Expert faculty guidance
Practical hands-on projects
Career support services
Who is this programme for?
Mid-career professionals seeking analytics expertise
Fresh graduates with statistics background
IT professionals transitioning to analytics
Business professionals wanting data skills
Minimum Eligibility
Graduation in any discipline with Statistics as one of the subjects
Minimum 50% marks in aggregate or equivalent grade
Work experience is desirable
Valid documentation for international students
Who is the programme for?
The admission process is straightforward and merit-based. Candidates must have completed graduation with Statistics as a subject and maintain 50% aggregate marks. The academic structure combines theoretical learning with practical applications through four semesters, each focusing on core analytics concepts.
Important Information
Selection process
How to apply?
Curriculum
The curriculum spans four semesters, covering essential topics from basic statistics to advanced machine learning. Each semester builds upon previous knowledge, culminating in specialized electives and a capstone project.
There are 4 semesters in this course
The program delivers comprehensive coverage of business analytics fundamentals through advanced concepts. Starting with statistical foundations and programming basics, students progress through econometrics, machine learning, and specialized domains like marketing or financial analytics. The curriculum emphasizes hands-on learning through projects and case studies.
Semester 1
Semester 2
Semester 3
Semester 4
Programme Length
24 months duration with flexible learning options. Students can complete coursework at their own pace within the semester timeline while maintaining regular engagement through live sessions.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Associate Professsor
Dr. K.P. Nandan Prabhu is an accomplished Associate Professor with extensive expertise in management education. Serving as a Coordinator for various academic programs and events, he plays a pivotal role in shaping and managing educational initiatives. With an impressive career spanning over 28 years, Dr. Prabhu has taught more than 15 subjects, focusing on accounting, finance, and organizational behavior. His vast experience and dedication to teaching have made him a respected educator and mentor, deeply committed to fostering academic and professional growth among his students.
Assistant Professor
Dr. Sudarsan is Assistant Professor at the Manipal School of Information Sciences. He teaches Multiple Linear Regression and Logistic Regression, Applied Multivariate Analysis, Probability & Statistical Inferences, and Programming with R & Python.
Tuition Fee
The program fee is USD 900 per semester for a total of USD 3,600. Various scholarship options are available including merit-based (10%), defense personnel (20%), and alumni benefits (15%). Flexible payment options and EMI facilities are provided.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
The learning experience combines self-paced study with interactive live sessions. Students access high-quality digital content, participate in virtual classrooms, and engage in practical projects. Dedicated mentors provide regular guidance and support.
University Experience
Students benefit from MAHE's rich academic environment and resources. The program offers access to cutting-edge analytics tools, industry workshops, and networking opportunities. Campus immersion programs provide hands-on experience and peer interaction.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Established in 1953, MAHE is a private deemed university located in Manipal, Karnataka, India. Originally started as India's first self-financing medical college, it has evolved into a multi-disciplinary institution recognized as an Institution of Eminence by the Government of India. The university spans across 844 acres with campuses in Manipal, Mangalore, Bangalore, Jamshedpur, and international locations in Dubai and Malaysia. MAHE offers over 300 programs across 31+ streams, including medicine, engineering, management, humanities, and sciences.
#901-950
QS world ranking
#197
QS asia rank
#14
NIRF overall rank
Affiliation & Recognition
UGC
AICTE
NAAC
Institution of Eminence
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Associate Professsor
Dr. K.P. Nandan Prabhu is an accomplished Associate Professor with extensive expertise in management education. Serving as a Coordinator for various academic programs and events, he plays a pivotal role in shaping and managing educational initiatives. With an impressive career spanning over 28 years, Dr. Prabhu has taught more than 15 subjects, focusing on accounting, finance, and organizational behavior. His vast experience and dedication to teaching have made him a respected educator and mentor, deeply committed to fostering academic and professional growth among his students.
Assistant Professor
Dr. Sudarsan is Assistant Professor at the Manipal School of Information Sciences. He teaches Multiple Linear Regression and Logistic Regression, Applied Multivariate Analysis, Probability & Statistical Inferences, and Programming with R & Python.
Career services
MAHE provides comprehensive career development support through its dedicated placement cell. The institution facilitates student career growth through industry partnerships, recruitment drives, and career counseling services. Students benefit from extensive networking opportunities with top employers across sectors, including technology, healthcare, and management. The career services office organizes regular placement drives, industry interactions, and professional development workshops. The university's strong alumni network and industry connections help create valuable opportunities for internships and placements.
90%
Placement success rate
100+
Industry partnerships
51.03 LPA
Highest package
Top Recruiters
Course Start Date:
Starting soon
Application Deadline:
Closing Soon
Duration:
24 Months
₹ 2,80,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.