• Home
  • MBA DATA SCIENCE

MBA DATA SCIENCE

Card image

 

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

 Details

Degree Name

MBA in Data Science

Degree Type

Postgraduate

Course duration

2 years

Eligibility criteria

Bachelor’s degree in any stream

Admission process

Entrance exam

+

GD/PI

Job profiles

Risk Analyst, Business Analyst, Data Analyst, Data Scientist, Stock Analyst, Project Manager

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

Semester I

Semester II

Business Communication

Corporate Finance

Managerial Economics

Human Resource Management

Financial Accounting

Operations Management

Marketing Management

Statistical Modelling

Organisational Behaviour

Data Visualisation

Statistics for Business: Decision Science I

Spreadsheet Modelling II

Introduction to Business Analytics

Introduction to Machine Learning

Spreadsheet Modelling I

--

Semester III

Semester IV

Advanced Machine Learning

Supply Chain Analytics

Natural Language Processing

HR Analytics

Web & Social Media Analytics

Marketing Analytics

Finance and Risk Analytics

Capstone Project

Healthcare Analytics

--

Deep Learning I

--

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

Data Science Manager

Data Architect

Product Manager

Data Science Consultant

Data Engineer

Product Analyst

Business Intelligence Analyst

Operations Research Analyst

Clinical Data Analyst

  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

1.       Amazon

2.       IBM

3.       Deloitte

4.       Accenture

5.       Fractal Analytics

6.       Citrix

7.       LinkedIn

8.       Myntra

9.       MuSigma

10.   Dexlock

11.   Flipkart

12.   Rudder Analytics

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.

 

 

Video Images
Preview this course
0
2 Year
  • Start Date5 Hrs 20 Min
  • Enrolled100
  • Lectures50
  • Skill LevelBasic
  • LanguageEnglish
  • Quizzes10
  • CertificateYes
  • Pass Percentage95%
Show More