16 monthsProgramme duration
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
Online
The Master of Science in Data Science program is designed for students who have completed their undergraduate degree in Computer Science or a related field, and who seek to enhance their theoretical, analytical, and practical skills through a solid foundation in data science, statistical computing, object-oriented programming, database systems, data mining, artificial intelligence, natural languages, machine learning, computer networks, cloud computing, big data and analytics. Achieving an MS degree in Data Science provides career opportunities in the following industries: technology, banking/financial, healthcare, media/telecom, defense, entertainment, retail, real estate, education, government, and non-profit industries/entities.
Students who complete the degree program will be prepared for various industry recognized certifications such as Certified Analytics Professional (CAP), Data Science Council of America (DASCA), IBM Certified Data Architect, Microsoft MCSE-Data Management and Analytics, Microsoft Certified Azure Data Scientist Associate, SAS Certified Advanced Analytics Professional, SAS Certified Big Data Professional, SAS Certified Data Scientist and/or other certifications.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
Online
The Master of Science in Data Science program is designed for students who have completed their undergraduate degree in Computer Science or a related field, and who seek to enhance their theoretical, analytical, and practical skills through a solid foundation in data science, statistical computing, object-oriented programming, database systems, data mining, artificial intelligence, natural languages, machine learning, computer networks, cloud computing, big data and analytics. Achieving an MS degree in Data Science provides career opportunities in the following industries: technology, banking/financial, healthcare, media/telecom, defense, entertainment, retail, real estate, education, government, and non-profit industries/entities.
Students who complete the degree program will be prepared for various industry recognized certifications such as Certified Analytics Professional (CAP), Data Science Council of America (DASCA), IBM Certified Data Architect, Microsoft MCSE-Data Management and Analytics, Microsoft Certified Azure Data Scientist Associate, SAS Certified Advanced Analytics Professional, SAS Certified Big Data Professional, SAS Certified Data Scientist and/or other certifications.
Admission Requirements
To apply for a Master’s Degree in Data Science, candidates must fulfill the following admissions requirements:
- Candidates must possess a bachelor’s degree from an accredited four-year institution of higher education.
- Candidates must submit:
- A completed application for admission.
- A 500-word essay describing your career goals and why you want to pursue a master’s degree.
- A current résumé.
- Transcripts from all prior educational institutions attended.
- Two (2) professional letters of recommendation.
- Data Science candidates must also participate in a pre-admission interview.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
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Scholarships to study abroad
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Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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