9 days ago
Masters Program
Business Data Science & Analytics ,
Department of Data Science and Business Intelligence
Overview
MS in Business Data Science & Analytics
at the prestigious Michigan State University is an opportunity for students to enhance their
knowledge, skills, and career through innovation and research.
Being a renowned university, Michigan State University
receives enough funds to ensure the best education facilities
for its students across all programs.
This post-graduate program offered on a full time basis has a
well-designed curriculum that perfectly blends theory and
practical learning. It prepares the students for their professional
life to reach new heights of success.
MS in Business Data Science & Analytics at
Mich. SU is ranked globally by estimated
organisations. Such recognition speaks volumes about the course’s
importance and effectiveness in the present scenario.
The top-notch faculty, modern facilities, and the aura of
creativity and innovation in the Mich. SU
campus is a life-changing experience for the students looking forward to kickstarting or upgrading their careers.
Overall, a MS in Business Data Science & Analytics at
Michigan State University is an excellent opportunity to grow into a
learned professional and bring new developments in the world.
Program duration
12 Months
Degree type
Data Science and Business Intelligence
Course credits
30
Delivery type
Full time
Delivery medium
On Campus
Tuition fees
Annual tuition fees
$39,000
Full course fees (12 months)
$39,000
Admissions
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Application Fee
$75
Application date
March 15,2023
Deadlines
Application Deadline Spring (Final Deadline)
Oct 15, 2022
Application Deadline Spring (Application Open Date)
Mar 15, 2023
Pre-Requisities
Application pre-requisites
- Transcripts
- Resume
- Personal statement
- Two Letters of Recommendation
- English Proficiency
- Application Form
- Application fee
- GRE/GMAT
Course Details
Core subject areas
- Data mining
- Marketing technology, website analytics and social network analytics
- Applied statistical approaches
- How to interpret and communicate data analysis
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My Background:
BE in Computers, Mumbai University, TSEC (2014 passout)
Business Technology Analyst at Deloitte Consulting working on BI pro... Show more