Online MBA in MBA Data Science and Analytics Management (Dual)
The degree online MBA in data science and analytics management (dual), is the appropriate course to pursue if you aim to make it into the management stream. This covers all facts and theories of management strategies. It trained the individual to help the business in smooth functioning.
Why choose MBA in data science and analytics management (dual)?
Why should you study data science and analytics management (dual)? An MBA in Data Science and Analytics Management (Dual) focuses on the critical aspects of all the things you need to learn to manage all businesses. It is not industry-specific, so the scope of your career path broadens drastically. It means you can work in any corporate industry just with this degree.
Does online MBA has any value?
Does online MBA have value? Yes, pursuing an Online MBA course in any format opens more career opportunities. it is worth all your time and money as most working professionals pursue them.
Explore Advanced Career Opportunities
Today`s world is the century of innovation and entrepreneurs. And India is growing at a rapid pace in the business world so it is high time to have trained professionals. This degree makes you fit many domains of business administration.
Earn a High Salary
After an Online MBA in Data Science and Analytics Management (Dual), you can earn a high payscale by becoming, a management consultant, project manager, or business analyst, and many such options will get open for you. The average salary can be 10 lacs pa to 12 lacs pr
Admission Procedure Of Online
It is 2 years postgraduate degree that can be done by anyone who completed an undergraduate degree from any recognized college or university. Getting admission is a smooth process just you need to choose a college. Any individual with 55% aggregate marks in bachelor's can apply for it.
Admission Procedure
Eligibility
BBA / B.Tech / B. sc / BA / B.Com
Duration
Min 2 — Max 4 years
Approvals
UGC, AICTE, NAAC
Procedure to Take Admission in the Online MBA in Data Science and Analytics Management (Dual)
Course Outline
This course will include business planning and entrepreneurship, fundamentals, and advanced business management It is designed in such a way that you can gain a wholesome idea of business administration and growth. And in the last semester, you may need to take practical exposure through internships and projects.
Semester 1
- Management Concepts and Theories
- Organizational Behaviour
- Management Accounting
- Statistics for Management
- Managerial Economics
- Managerial Communication
- Business Government and Society
Semester 2
- Marketing Management
- Human Resource Management
- Corporate Finance
- Quantitative Methods
- Legal aspects of Business
- Operations Management
- Management Information Systems
Semester 3
- Project Management
- Entrepreneurship and Small Business
- Consumer Behaviour and Marketing Research
- Portfolio Management
- Organizational Change and Development
- Business Familiarization Report
- ------
Semester 4
- Strategic Management
- Product and Brand Management
- International Financial Management
- Strategic Human Resource Management
- International Marketing
- Electronic Commerce
- Project Work
Other Online MBA Course Specializations
- MBA in General
- MBA in Banking and Finance
- MBA in Business Analytics
- MBA in Business Intelligence and Analytics
- MBA in Business Management
- MBA in Data Science and Analytics
- MBA in Digital Marketing Management
- MBA in Enterpreneurship and Leadership
- MBA in Finance and Leadership
- MBA in Finance Management
- MBA in General Management
- MBA in Healthcare Management
- MBA in Hospitality Management
- MBA in HR Management
- MBA in HRM and Finance Management
- MBA in Information and Technology Management
- MBA in International Business Management
- MBA in International Finance
- MBA in Leadership and Strategy
- MBA in Logistic and Supply Chain
- MBA in Marketing and Finance Management
- MBA in Marketing and HR Management
- MBA in Advertising and Branding
- MBA in AI and Machine Learning
- MBA in Banking Financial Service Insurance
- MBA in Event Management
- MBA in Information Technology
- MBA in Marketing
- MBA in Computer Science & IT
- MBA in Cyber Security
- MBA in Data Science & IT
- MBA in Digital Business
- MBA in Digital Management
- MBA in Disaster Management
- MBA in Entrepreneurship & Business Management
- MBA in Event & Media Management
- MBA in Finance & Accounting
- MBA in Healthcare & Hospital Management
- MBA in Infrastructure Management
- MBA in Banking and Insurance
- MBA in Blockchain Management
- MBA in Business Intelligence & AI
- MBA in Digital Entrepreneurship
- MBA in Financial Market Management
- MBA in Fintech Management
- MBA in Hospital Administration
- MBA in HR and Analytics
- MBA in International Marketing Management
- MBA in International Trade Management
- MBA in Investment Banking and Equity Research Management
- MBA in IT and Fintech
- MBA in Oil and Gas Management
- MBA in Power Management
- MBA in Retail Management
- MBA in Sports Management
- MBA in Strategic and HR Management
- MBA in Strategic and Finance Management
- MBA in Strategic Marketing
- MBA in Tourism Management
- MBA in Waste Management
- Operation Management
- MBA in Project Management
- MBA in System and Operation Management
- MBA in Artificial Intelligence
- MBA in Data Science
- MBA in Entrepreneurship
- MBA in Agri Business Management
- MBA in International Finance & Accounting
- MBA in International Trade Business
- MBA in JAMC
- MBA in Operation & Supply Chain
- MBA in Organizational Behaviour
- MBA in Pharma & Healthcare Management
- MBA in Public Policy & Administration
- MBA in Supply Chain Management
- MBA in System Management
- MBA in Travel & Tourism Management
- MBA in Wealth Management
How to Choose the Right University?
Doing MBA from a renowned university is impactful from a career perspective. Before you go for admission in online you must be aware of the right place to apply. Consider these points while looking for a college or university
Differences Between Online MBA and Regular MBA Programs
Both Online MBA and Regular MBA programs aim to equip students with advanced business management skills, but they differ significantly in terms of structure, delivery, flexibility, networking opportunities, and overall experience. Here’s a detailed comparison:
Online MBA
- Delivered primarily online through virtual classrooms, recorded lectures, and digital course materials.
- Learning is often self-paced with occasional live sessions.
Regular MBA
- Delivered through in-person classes at a physical campus.
- Involves face-to-face interactions with professors and peers.
Career Opportunities
After completing this course, you can be hired as a Data Analysis, Data Science, Machine Learning Engineer and Business Intelligence, etc. You can work in management firms or with start-ups there is a vast pool of opportunities after this degree.
Data Engineer
Management Consulting
Finance
Amazon
Business Analytics Specialist
Healthcare
Database Design
Marketing Management
Morgan Stanley
Data Modeler
E-commerce Sector
MBA Data Science and Analytics Management (Dual) FAQ
Data analysis, machine learning, statistical modelling, data visualisation, big data technologies, business intelligence, predictive analytics, and decision-making techniques are among the topics covered in the curriculum, which combines elements of data science with business management. It also looks at how company plans might be informed by data-driven insights.
Graduates can work as operations analysts, consultants in analytics, business intelligence managers, managers of data science, data analysts, and strategists. In fields where data-driven decision-making is essential, such as finance, healthcare, technology, e-commerce, and consulting, these positions are in great demand.
Data analysis, statistical modelling, machine learning, business analytics, data-driven decision-making, and strategic management are among the proficiencies you will acquire. Additionally, the curriculum improves your capacity to decipher complex data, effectively convey ideas, and use analytical methods to resolve business issues.
A technical background is helpful, but it's not necessarily necessary. Since the program begins with foundational courses in data science and analytics, people with a variety of academic and professional backgrounds can enrol in it. You will be more successful in this specialisation if you have a great knack for numbers, can solve problems, and are eager to pick up technical abilities.
