What is MBA Data Science Course?
The MBA in Data Science is rapidly becoming a highly coveted specialization in management to leverage data effectively in a business context. As industries increasingly adopt technology and scientific methods for their operations, the ability to assess and manage data has become crucial. This professional program equips individuals with the skills to drive business innovations through data.
Data science merges various disciplines, including Statistics, Mathematics, Information Science, Computer Science, Artificial Intelligence, and Machine Learning. This makes the MBA in Data Science particularly suitable for those with an Engineering or Technical background. Data science aims to mine data for valuable insights, enabling informed decisions based on predictive analysis. This rapidly evolving field is pivotal across various sectors.
Data science transforms vast amounts of data into actionable insights and informed predictions. It's the art of deciphering complex data sets to guide decision-making and forecast future trends. Imagine data science as a form of investigative work.
Data scientists gather, scrutinize, and interpret data to uncover answers to critical questions. Their analyses range from identifying consumer purchasing trends to detecting health-related patterns that could aid in disease prevention.
Data science encompasses several key activities, including:
• Define the Problem
• Collect and Clean Data
• Explore and Visualize Data
• Model and Analyze Data
• Communicate Result
• Implement and Evaluate Result
MBA in Data Science Highlights
Given below are the key highlights of the MBA in Data Science course:
Features
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Details
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Degree Name
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MBA in Data Science
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Degree Type
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Postgraduate
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Course duration
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2 years
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Eligibility criteria
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Bachelor’s degree in any stream
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Admission process
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Entrance exam
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GD/PI
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Job profiles
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Risk Analyst, Business Analyst, Data Analyst, Data Scientist, Stock Analyst, Project Manager
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MBA in Data Science Eligibility Criteria
The basic eligibility criteria to pursue an MBA in Data Science is graduation. However, since Data Science is all about data crunching, having an academic background in Mathematics, Statistics, Information Science, Computer Science, Artificial Intelligence and Machine Learning will be valuable. Some of the MBA programs in data science colleges have minimum score criteria of 50 percent aggregate in graduation.
MBA in Data Science Syllabus
The MBA in Data Science syllabus includes general management subjects, business analytics and technical topics such as Machine Learning, Spreadsheet Modelling, Data Visualisation, etc. Given below are the topics commonly included in the MBA in data science course:
Syllabus for MBA in Data Science
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Semester I
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Semester II
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Business Communication
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Corporate Finance
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Managerial Economics
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Human Resource Management
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Financial Accounting
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Operations Management
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Marketing Management
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Statistical Modelling
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Organisational Behaviour
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Data Visualisation
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Statistics for Business: Decision Science I
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Spreadsheet Modelling II
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Introduction to Business Analytics
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Introduction to Machine Learning
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Spreadsheet Modelling I
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--
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Semester III
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Semester IV
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Advanced Machine Learning
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Supply Chain Analytics
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Natural Language Processing
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HR Analytics
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Web & Social Media Analytics
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Marketing Analytics
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Finance and Risk Analytics
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Capstone Project
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Healthcare Analytics
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--
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Deep Learning I
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--
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MBA in Data Science Admission Process
The MBA in Data Science admission process include an entrance exam, Group Discussion (GD) and Personal Interview (PI). Admission process of MBA in Data Science course is same as the MBA General course. The institutes shortlist candidates for Group Discussion (GD) and Personal Interview (PI) on the basis of an entrance exam score. Admission criteria includes academic record (class 10, 12 & graduation), entrance exam score, performance in the GD/PI round and work experience (not mandatory).
MBA in Data Science Jobs
Data Science jobs are highly responsible roles that require excellent analytical and data interpretation skills and knowledge of the latest technology and tools. Since it is a highly specialised job and critical to the good health of a business enterprise, the remuneration offered is also high. Given below are the Data Science job roles and average salaries:
MBA in Data Science Job Roles
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Data Science Manager
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Data Architect
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Product Manager
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Data Science Consultant
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Data Engineer
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Product Analyst
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Business Intelligence Analyst
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Operations Research Analyst
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Clinical Data Analyst
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MBA in Data Science Top Recruiters
The demand for MBA in data science graduates is high in sectors such as e-commerce, manufacturing, healthcare, banking and finance, transport and information technology. Some of the top recruiters are listed below:
Top MBA in Data Science Recruiters
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1. Amazon
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2. IBM
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3. Deloitte
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4. Accenture
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5. Fractal Analytics
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6. Citrix
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7. LinkedIn
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8. Myntra
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9. MuSigma
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10. Dexlock
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11. Flipkart
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12. Rudder Analytics
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Conclusion
MBA specialisation in data science is the right fit for individuals who want to excel in the IT sector. With the MBA specialisation in data science, you can skyrocket your career and create an impactful experience for data science professionals along with management.
An MBA in data science is more than just a degree; it’s a gateway to a world where business and technology come together. For those passionate about both fields, this course provides the ideal platform to develop a skill set that’s in high demand. MBA in data science can set you on the path to success.