Online MBA Dual Specialization in Data Science and Analytics

The Online MBA in Data Science and Analytics is invented for graduates and working professionals who are willing to gain admission to this course.

⏱ Duration: 2 Years 🎓 They should hold a bachelor’s degree with a minimum number of 50% to 60%.

Eligibility Criteria

Program Details

Online MBA Dual Specialization in Data Science and Analytics : Overview

Online MBA ( Master of Business and Administration) is a prestigious postgraduate programe . The Online MBA spans two years and enables students in the ever-evolving dynamic field of Business and Administration. Several universities nationwide offer an MBA course with Dual Specialisation through an online mode of learning.

The Online MBA in Data Science and Analytics is invented for graduates and working professionals who are willing to gain admission to this course. Online MBA in Data Science and Analytics course is an AICTE and UGC-approved course that proves credibility worldwide.

The meticulous curriculum of an online Data Science and Analytics course is further designed in four semesters with a duration of six months each. The online MBA course in Data Science and Analytics enables students with a deep understanding of sound fundamental courses, including Quantitative Techniques and Analytics, Entrepreneurship, Exploratory Data Analysis, Accounting and Finance, SQL for Data Science, Data Visualization, and many others.

Online MBA in Data Science and Analytics grabs various leadership positions in this ever-evolving field as statisticians, computer analysts, operation research analysts, web developers, and many others.

Critical Features of Online MBA in Data Science and Analytics Management

  1. The Online MBA with Dual Specialisations course is a two-year programe. 
  2. Several Universities offer Online MBA with Dual Specialisations with a maximum duration of four years.
  3. The Online MBA in Data Science and Analytics Management is further organised into four semesters roughly six month duration of each.
  4. The online mode of learning allows students to accomplish their postgraduate degree comfortably at their own pace.
  5. Students can pursue this course with an affordable EMI option.
  6. This course allows full-time working professionals to pursue this course without disrupting their jobs.

The Comprehensive Curriculum of Online MBA in Data Science and Analytics

Semester 1Semester 2
Managerial Effectiveness and EthicsMarketing Management and Research
Accounting and FinancePython for Data Science
Quantitative Techniques and AnalyticsStatistics for Decision-Making
Principles of Economics and MarketsData Wrangling and Exploratory Data Analysis
HR ManagementEntrepreneurship
Semester 3Semester 4
Data VisualisationAI for Business
Data Analytics using ExcelSQL for Data Science
Business AnalyticsPredictive Analysis using ML
Business Environment and StrategyProject
ElectivesElectives

Qualification Required for Online MBA in Data Science and Analytics

  1. Applicants must hold a bachelor’s degree in any discipline.
  2. The bachelor’s degree should be accredited from any recognised university.
  3. They should hold a bachelor’s degree with a minimum number of 50% to 60%.

Other Types of MBA 

Online Global MBAMBA Distance Education
Online MBA for Working ProfessionalsMBA Dual Specialisation online

Admission Process for Online MBA in Data Science and Analytics

  1. Applicants must visit the official website of the concerned university for registration.
  2. Candidates must create a User ID to complete the online application form.
  3. The user must pay the registration fee of the concerned university, if any.
  4. Mandatory documents must be uploaded to verify the admission.
  5. Candidates should pay for the additional charges if they want hard copies of the study material.
  6. Candidates will obtain their enrollment number through an official mail from the concerned university.

Other Specialisations of Online MBA Dual Specialisation

Career Opportunities after MBA in Data Science and Analytics

  1. Human Assets Administration
  2. Business Development
  3. Data Analytics
  4. Supply Administration
  5. Data and Advertising Administration
  6. Risk Analysis

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