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Structuralia

Master in Artificial Intelligence and Big Data

Barcelona, Spain

Digital Age University

Master in Big Data, Artificial Intelligence and Disruptive Technologies

Berkeley, USA

UC Berkeley School of Information

Master of Information and Data Science

Department of Computer Science and the Department of Engineering Management & Systems Engineering, the Master of Science in Data Analytics

 aims to address the growing demand for professionals skilled in big data and data analytics in government, industry and research organizations.

Through courses led by top faculty members at the 

School of Engineering & Applied Science and the School of Business

, this program is conducted in small cohorts and covers topics in computer science, business analytics and systems engineering while focusing on the foundations of analytics from a technical engineering perspective.

: Computer Science or Engineering Management & Systems Engineering.

Administered jointly through the Department of Computer Science and the Department of Engineering Management & Systems Engineering, the Master of Science in Data Analytics aims to address the growing demand for professionals skilled in big data and data analytics in government, industry and research organizations.

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Duration: Two years (full-time), three years (part-time)

Fall Start term only - no Spring start term available

Minimum of 3.0 GPA (out of a 4.0 scale) achieved on the last 60 hours of bachelor's degree coursework.

Prior coursework in calculus (differential or integral), programming, probability, and statistics.

For international students: TOEFL score of 100 or higher / IELTS score of 7.0 with no individual band score below 6.0

Successful submission of the online application form, exam scores, and other documents as outlined in the admissions requirements.

NOTE: The GRE exam is optional for this program. Candidates whose B.S. was completed over 5 years ago and/or do not have direct work experience in this field are encouraged to submit GRE scores to supplement their application.

All applicants - first-time or transfers - to a Master of Science (M.S.) or Master of Engineering (M.Eng.) program at the School of Engineering & Applied Science must meet the admissions requirements to be considered for any of the programs at SEAS.

Applicants must provide the following materials to be considered for any graduate program at SEAS:

GRE exam scores (GRE is optional for Fall 2023 applicants for MS and Ph.D. programs)

International applicants: TOEFL, IELTS, Duolingo, or PTE Academic scores

All visa-seeking international applicants are required to submit TOEFL, IELTS, Duolingo, or PTE Academic scores to SEAS to be considered for admission.

Please provide only your most recent test scores. Scores may not be more than two years old.

6.0 overall with no individual score below 5.0.

Applicants to the graduate programs in Engineering Management, Systems Engineering, or Data Analytics are required to have a minimum score of 7.0 with no individual score below 6.0.

Applicants who would like to be considered for funding opportunities must have an overall band score of 7.0 with no individual score below 6.0.

80 on the Internet exam (iBT) or 550 on the paper exam.

Applicants to the graduate programs in Engineering Management, Systems Engineering, or Data Analytics are required to have a minimum score of 100 on the Internet exam.

Applicants who would like to be considered for funding opportunities must have a 600 on the paper-based exam or 100 on the Internet-based exam.

53. Applicants who would like to be considered for funding opportunities must have a minimum score of 68.

We also now accept Duolingo scores along with TOEFL, IELTS, PTE, etc.

115 score or higher on the Duolingo English Test.

Applicants to the graduate programs in Data Analytics are required to have a minimum score of 130 on the Duolingo English Test.

Applicants to the graduate programs in Engineering Management are required to have a minimum score of 120 on the Duolingo English Test.

Applicants who would like to be considered for funding opportunities must have a score of 130 or higher on the Duolingo English Test.

Exceptions are granted to applicants who:

Hold a bachelor’s, master’s, or doctoral degree from an institution in which English is the language of instruction AND the official language of the country in which the university is located.

Hold a bachelor's, master's, or doctoral degree from an institution located in a country that qualifies for the English language exam exemption.

Admissions Option 2

The School of Engineering & Applied Science offers scholarships and funding opportunities for master's and doctoral students. We offer merit-based tuition discount scholarships for master's program applicants along with research assistant and teaching assistant positions for doctoral applicants. Please contact us to learn more about these opportunities as well as additional resources for funding opportunities available at other organizations that can be applied to your studies at GW.

Scholarships and Funding Option 2

Students in the program should expect to:

Apply data science and analytics techniques in the decision-making process of a wide range of organizations.

Demonstrate the ability to store, clean and transform data.

Demonstrate improvements in the decision-making process by using and applying analytics techniques to interpret results.

Design and implement computing infrastructure and algorithmic techniques for big data analytics.

Explore the engineering foundations that propel the fields of data science and analytics.

Gain hands-on experience with analytical tools for big data.

Pursue or enhance careers as data analysts or data scientists.

Program Outcome

Master

Technology Studies

Information Technology

Big Data

Data Science

Data Analytics

There are plenty of good engineering schools in the U.S.; but how far can good take you when your goal is to engineer better? At the George Washington University's School of Engineering and Applied Science, students work with professors at the top of their fields and gain access to innovative resources in one of most dynamic, research-driven centers in the world.


Master of Science in Data Analytics

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