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Distance MBA in Data Science and Analytics Eligibility & Duration
Students must fulfill a few primary requirements set forth by the university or institute to be eligible to participate in this flexible postgraduate course. The following points form the general prerequisites for this distance MBA specialization that are quite common at all universities:
- Applicants need to be bachelor's degree holders in any field of study.
- Applicants need to have their graduate degree from an accredited university only.
- A minimum score of 45% to 55% marks in graduation is required of candidates.
- Professionals working in data science can also apply to the course.
- Work experience is preferred but not mandatory for this program.
Duration: The minimum time that you will have to complete this distance MBA specialization is 2 years only which is exactly the same as a full-time MBA program. The only difference you will have in the duration part is that in an on-campus MBA in data science and analytics, you ought to complete it within 2 years but in a distance MBA, you will get a relaxation to pass all the exams within 4 years.
Other Types of MBAs also Available
Skills Required for Distance MBA in Data Science and Analytics
Apart from the technical knowledge, some additional skills can enhance your distance learning experience in this data science and analytics program. A few such skills are listed below that are recommended if you want to join this master’s program.
- Leadership skills help you grasp future tech knowledge for emerging leaders quite quickly and easily.
- Business skills are among the basic skill requirements that make you identify the areas you need to work on to improve your business profits.
- Communication skills are the key to understanding all the information correctly and conveying it to others for the effective implementation of business strategies.
- Time management skills reflect your ability to multitask in the business sector which ultimately enhances your work efficiency.
MBA Entrance Exams 2023
Here is a list of some common entrance exams that are conducted or entertained by the universities to grant admission to regular MBA programs. These exams are generally not required to enroll in a distance MBA specailization in data science and analytics but depending on the university you choose, you might have to prepare for one.
| CAT (Common Admission Test) | GMAT (Graduate Management Admission Test) |
| NMAT (NMIMS Management Aptitude Test) | CMAT (Common Management Admission Test) |
| CBT (Common Based Test) | OpenMAT (Open Management Aptitude Test) |
| MAT (Management Aptitude Test) | ATMA (AIMS Test for Management Admission) |
| MAH CET (Maharashtra Common Entrance Test) | TANCET (Tamil Nadu Common Entrance Test) |
| PGCET (Postgraduate Common Entrance Test) | XAT (Xavier Aptitude Test) |
| SNAP (Symbiosis National Aptitude Test) | KMAT (Karnataka Management Aptitude Test) |
Recommended Books
Here is a list of some of the best data science books in 2025 that you should read to get an in-depth understanding of the field.
| Name of the Book | Author |
| Practical Statistics for Data Scientists | Peter Bruce and Andrew Bruce |
| Introduction to Machine Learning with Python: A Guide for Data Scientists | Andreas C. Müller and Sarah Guido |
| Python Data Science Handbook | Jake VanderPlas |
| Understanding Machine Learning: From Theory to Algorithms | Shai Shalev-Shwartz and Shai Ben-David |
| The Elements of Statistical Learning — Data Mining, Inference, and Prediction | Trevor Hastie, Robert Tibshirani, Jerome Friedman |
| Data Science for Business — What You Need to Know about Data Mining and Data Analytic-Thinking | Foster Provost and Tom Fawcett |
| The Art of Data Science — A Guide for Anyone Who Works With Data | Roger D. Peng and Elizabeth Matsui |
| Big Data — A Revolution That Will Transform How We Live, Work, and Think | Victor Mayer-Schonberger |
| Storytelling with Data — A Data Visualization Guide for Business Professionals | Cole Nussbaumer Knaflic |
| Thinking with Data: How to Turn Information Into Insights | Max Shron |
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CollegeVidya helped me find the perfect online MBA at Manipal. Balancing work and studies has never felt this seamless.
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Thanks to CollegeVidya, my distance MCA from Chandigarh University fits perfectly around my full-time job. Truly life-changing.
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CollegeVidya made it easy to pursue my Executive MBA at Amity while working full-time. A smart investment in my future.
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FAQ's
Let's clear up some doubts
A distance MBA in data science and analytics is one of the best options for data scientists who want to explore managerial options in the technical field.
For fresh MBA graduates in Data Science, the entry-level salary in India normally ranges between ₹3.0 and ₹11.3 LPA.
No, the entrance exam is not required to enroll in an MBA distance learning program in the dual specialization of data science and analytics.
No, a distance MBA in data science and analytics program does not put a compulsion on the study of mathematics but at some universities, you might face it. So, check the eligibility requirements of the program at your chosen university before taking any further steps.
Yes, being one of the most affordable formats in the course category, a distance MBA in the field of data science and analytics can be completed within a budget of ₹1 lakh.
No, in a distance MBA in the field of data science and analytics, you will have to visit the university campus or nearby exam center to take your exams. For online examinations, you can opt for the online MBA program in the same domain.
Yes, as per the UGC guidelines, a distance or online degree earned from a recognized university holds equal value as the regular one in the industry. Thus, after completing a distance MBA degree in data science and analytics from a recognized university, you can apply for a job at Google. However, your selection will be based on Google’s skill requirements and experience.
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