Overview

Bachelor of Business Analytics in Business Analytics is one of the most favoured degree programs undertaken by students from the Massachusetts Institute of Technology. The reason for the popularity of this degree course is that it has consistently ranked on reputed global educational platforms.

The course is designed to give fundamental and advanced knowledge in the Business Analytics. International students enrolled in a BS Degree in Business Analytics at the Massachusetts Institute of Technology experience quality education and comprehensive hands-on practical learning.

The qualified teachers, high-end classrooms, interactive curriculum, cost-effective tuition fees and merit-based scholarships offer students the opportunity to develop holistically. Overall, graduating with a BS Degree in Business Analytics at Massachusetts Institute of Technology will make students job ready.

Why Study Business Analytics at Massachusetts Institute of Technology

  • Most preferred by international students
  • Provides enough hands-on learning experience
  • Study in high-end classrooms from experienced teachers
  • An array of internship and work opportunities all customised after course completion to prepare the students for the real world


Course Highlights

Official website

link to course page

Annual tuition fees annual tution fees info

$57,590 / year

Total tuition fees total tution fees info

$2,30,360 / 48 months

interest rates
0 Cost, 100% Coverage, Quick Funds
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5000+ Students

Availed education loan

3000+ Cr

Loan amount sanctioned

100% Free

Assistance for loan process

Pre-requisites

Test Score Requirements test score requirement

Minimum english score required

TOEFL

90

IELTS

7

PTE

65

Application Pre-requisites application pre requisite

  • Online Application
  • Application Fee
  • Academic Transcripts
  • English Language Proficiency
  • Essay
  • Two Letters of Recommendation
  • Interview
  • Test Scores(SAT & ACT)

Course Details

Core subject areas

  • Introduction to Computer Science Programming in Python
  • Introduction to Computational Thinking and Data Science
  • Introduction to Machine Learning
  • Optimization Methods in Business Analytics
  • Analytics for a Better World
  • Communicating with Data (CI-M)
  • Organizational Processes for Business Analytics (CI-M)
  • Stochastic Models in Business Analytics

FAQ