MS in Business Analytics
12 monthsProgramme duration
30,525 USDTuition Fee/year
AugStarting Month
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MS in Business Analytics is a 37-credit program that develops your ability, in 12 or 16 months, to think critically about data problems in business contexts. The curriculum is primarily designed to enhance your statistical and programming acumen through rigorous hands-on coursework. You’ll solve real-world problems and work with real company data, allowing you to get a sense of what it’s like to work in the business analytics space. You’ll also enhance the skills so highly valued by employers, such as effective communication, collaboration, and leadership. Wow future employers with a unique resume that showcases your ability to turn data into solutions.
Upon completion of the MSBA program, you’ll
Upon completion of the MSBA program, you’ll
- Be able to think critically about and frame data problems in a variety of business contexts and apply appropriate analytical methods to find solutions that achieve stated objectives.
- Demonstrate proficiency with a variety of data-analytic tools.
- Be able to manipulate data, develop statistical and machine learning models, and visualize and present output to improve business outcomes.
- Demonstrate critical thinking skills, connecting quantitative and qualitative tools, concepts, and context to effectively solve problems and make decisions.
- Communicate technical information to both technical and non-technical audiences in speech, in writing, and graphically.
- Consider opportunities, needs, and constraints of data analytics within the business functions and the strategic importance of decisions made using data.
- Demonstrate interpersonal, team, collaborative, and leadership skills.
- Demonstrate ethical reasoning skills and understand professional responsibilities.
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MS in Business Analytics is a 37-credit program that develops your ability, in 12 or 16 months, to think critically about data problems in business contexts. The curriculum is primarily designed to enhance your statistical and programming acumen through rigorous hands-on coursework. You’ll solve real-world problems and work with real company data, allowing you to get a sense of what it’s like to work in the business analytics space. You’ll also enhance the skills so highly valued by employers, such as effective communication, collaboration, and leadership. Wow future employers with a unique resume that showcases your ability to turn data into solutions.
Upon completion of the MSBA program, you’ll
Upon completion of the MSBA program, you’ll
- Be able to think critically about and frame data problems in a variety of business contexts and apply appropriate analytical methods to find solutions that achieve stated objectives.
- Demonstrate proficiency with a variety of data-analytic tools.
- Be able to manipulate data, develop statistical and machine learning models, and visualize and present output to improve business outcomes.
- Demonstrate critical thinking skills, connecting quantitative and qualitative tools, concepts, and context to effectively solve problems and make decisions.
- Communicate technical information to both technical and non-technical audiences in speech, in writing, and graphically.
- Consider opportunities, needs, and constraints of data analytics within the business functions and the strategic importance of decisions made using data.
- Demonstrate interpersonal, team, collaborative, and leadership skills.
- Demonstrate ethical reasoning skills and understand professional responsibilities.
Admission Requirements
90+
6.5+
120+
Duolingo: a minimum score of 110 is recommended.
12 Months
Aug
- 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
30,525 USD
International
30,525 USD
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