Master of Science in Business Analytics (MSBA)
12 monthsProgramme duration
35,938 USDTuition Fee/year
01 Apr, 2025Application Deadline
SepStarting Month
Programme 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.
Programme 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
- 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
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic (Out of State)
International
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