Master of Science in Business Analytics (MSBA) 12 months Postgraduate Program By University of Georgia |TopMBA
Program Duration

12 monthsProgram duration

Tuitionfee

35,938 USDTuition Fee/year

Application Deadline

01 Apr, 2025Application Deadline

Scholarship

YesScholarships

Program overview

Specialisations

General Management

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The Master of Science in Business Analytics (MSBA) is a one-year interdisciplinary program to help you develop technical expertise in collecting, analyzing, and interpreting big data in a business context. For international students, the program’s STEM-certification provides eligibility for a three-year U.S. work permit upon graduation.


The MSBA program involves two semesters of study (33 total credit hours).


During the program, you will develop expertise in the collection, storage, analysis, interpretation, machine learning, and visualization of data, as well as learn the predominant programming languages in the field, namely SQL, R, and Python. Efficient processing of large quantities of data via platforms like Hadoop and SAS will be included. Business courses in analytics, marketing, economics, and strategy will provide you with frameworks to turn data analyses into business insights.


You will also develop leadership, project management, and teamwork skills; as part of the Capstone Project, you will work in teams on real-world big data problems with a corporate partner and present project results to executive clients.​

Program overview

Specialisations

General Management

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The Master of Science in Business Analytics (MSBA) is a one-year interdisciplinary program to help you develop technical expertise in collecting, analyzing, and interpreting big data in a business context. For international students, the program’s STEM-certification provides eligibility for a three-year U.S. work permit upon graduation.


The MSBA program involves two semesters of study (33 total credit hours).


During the program, you will develop expertise in the collection, storage, analysis, interpretation, machine learning, and visualization of data, as well as learn the predominant programming languages in the field, namely SQL, R, and Python. Efficient processing of large quantities of data via platforms like Hadoop and SAS will be included. Business courses in analytics, marketing, economics, and strategy will provide you with frameworks to turn data analyses into business insights.


You will also develop leadership, project management, and teamwork skills; as part of the Capstone Project, you will work in teams on real-world big data problems with a corporate partner and present project results to executive clients.​

Admission requirements

3+
  • Proficiency in college-level introductory statistics and calculus
  • Minimum 3.0 undergraduate GPA
  • Knowledge of computer programming with at least one high-level language (e.g., R, Python, SQL, C, Java)
  • 1+ internship and/or full-time work experience is required
01 Apr 2025
1 Year
Sep
  • Candidates are required to submit references or letter(s) of recommendation for acceptance
  • Candidates are required to submit an essay(s) for acceptance

Tuition fee and scholarships

Domestic Students

-
35,266 USD

International Students

35,938 USD
-

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

checklist

A scholarship application checklist

banner
download_icon Download Scholarship Guide
Postgrad programs 14439