Online MBA in Data Science & Artificial Intelligence
Explore Online MBA in Data Science & Artificial Intelligence, its curriculum, career paths, and university options.
FLEXIBLE LEARNINGOnline MBA in Data Science & Artificial IntelligenceProgram summary.
- Duration
- 2 Years
- Program fee range
- ₹1.2L – ₹5L
- Level
- PG
- Available specializations
- 39
Get to know Online MBA in Data Science & Artificial Intelligence.
The growing adoption of AI-powered tools, business intelligence platforms, predictive analytics, and automated workflows has increased the demand for professionals who understand both technology and management. An online learning format allows students and working professionals to develop these skills while continuing their existing jobs, businesses, or other responsibilities. The curriculum generally combines core MBA subjects such as marketing, finance, leadership, operations, strategy, and business research with specialized areas including data analytics, machine learning, Python, SQL, data visualization, business intelligence, and AI applications. This specialization can be suitable for graduates, analysts, IT professionals, managers, entrepreneurs, and career changers who want to move into technology-driven management roles.
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Degree Type
PG Degree (2 Years)
Work Experience
Not mandatory
Intake
Jan, July (biannual)
Mode
100% Online
Fee Range
₹35K – ₹5L / year
Explore other specializations.
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MBA in Digital Marketing MBA in Hospital & Healthcare Management MBA in General Management MBA in International Finance Frequently asked questions.
What is an Online MBA in Data Science & Artificial Intelligence?+
It is a postgraduate management program that combines traditional MBA subjects with data analytics, artificial intelligence, machine learning, business intelligence, programming tools, and data-driven decision-making.
Is an Online MBA in Data Science & Artificial Intelligence recognized?+
Recognition depends on the university, exact program, study mode and admission session. Check the current regulatory listing and the university’s program documents. Acceptance for a job, examination or further study is decided by the relevant employer, authority or receiving institution.
What is the eligibility for an Online MBA in Data Science & Artificial Intelligence?+
Applicants generally need a bachelor's degree from a recognized university or institution. Specific marks, entrance requirements, or additional conditions can vary by provider.
What are the fees for an Online MBA in Data Science & Artificial Intelligence?+
Fees vary across institutions. An indicative fee structure may be around ₹1,65,000 in total, but students should confirm the latest tuition, examination, registration, and other applicable charges before applying.
What salary can I expect after this online MBA?+
Salary depends on the role, experience, technical skills, company, location, and industry. Indicative opportunities can range from approximately ₹4,00,000 to ₹12,00,000 or more annually for relevant roles, but these figures are not guaranteed.
Is this program suitable for working professionals?+
Yes. The online format can be suitable for working professionals who want to develop management, analytics, and AI-related skills while continuing their employment, subject to the schedule and learning requirements of the selected program.
What career opportunities are available after this MBA?+
Potential career paths include Data Science Manager, Business Intelligence Manager, Big Data Analyst, AI Consultant, AI Solutions Architect, Product Analytics professional, Technology Strategy professional, and other data-driven management roles.
Does the program include practical data science tools?+
Many programs include tools and technologies such as Python, R, SQL, Excel, machine learning frameworks, business analytics platforms, and data visualization. The exact toolset depends on the curriculum of the selected institution.
Can a non-technical graduate pursue this specialization?+
Yes. Many online MBA programs accept graduates from different academic backgrounds. However, learners should be prepared to develop quantitative, analytical, and basic technical skills as they progress through the program.
