Data Science & Analytics, M.S.A. at Georgia State University

Programme overview

Whether you are a math or computer science whiz or possess a liberal arts degree, this program will prepare you for a job in the data science, analytics, and generative AI field. After reviewing your application, the admissions committee will enroll you in a pathway that makes sense based on your background. Both tracks—data scientist and citizen data scientist—are STEM-designated as well as comprehensive, rigorous, and fast-paced. Through both courses of study, you will become comfortable with Python coding, machine learning, deep learning, and generative AI theory and practice.

Faculty: Robinson College of Business | Duration: Full-time format: 12 months (3 semesters). Offers a fast track into the workforce. Classes up to four days a week: Monday-Thursday, 2 p.m. and 6 p.m. sessions. | Study mode: full-time | Intake: Domestic Applicants We offer various application deadlines to U.S. residents. By applying earlier in the cycle, you will receive priority consideration for a graduate assistantship. After the final deadline, applications are accepted on a rolling basis until one week before class starts. Internation | Location: Atlanta, GA, United States

What you will study

The Data Science & Analytics, M.S.A. program comprises three semesters in a lock-step, cohort format. However, working professionals can complete the program on a part-time basis, extend the length of the program and take courses in the summer. Full-time students also have the option of completing the program in 12 months by taking their electives in the summer. Besides the eight required and three elective courses, students will participate in boot camps covering topics such as linear algebra, R programming, data visualization, Tableau, advanced R, big data programming and SAS. Students will also complete Insight Sprints throughout the program.

Official programme page

Application information

Entry requirements

Application Requirements Online application and $50 application fee Video interview as part of the online application A GMAT or GRE score is not required. College transcripts Personal statement Resume – Work experience preferred but not required Additional requirements apply for international applicants Learn more about the application process and what you will need to apply. Following are the recommended backgrounds for each track: Data Scientist Bachelor’s degrees: STEM – science, technology, engineering, math Knowledge in calculus I & II, multivariate calculus, statistics, linear algebra Coding knowledge/experience preferred but not required A minimum of 18 months’ full-time work experience recommended but not required Citizen Data Scientist Bachelor’s degrees: business, psychology, health services, political science, communications Statistics and/or business knowledge preferred but not required Strong communication skills are crucial, as you will be primarily communicating analytical techniques and insights. A minimum of 18 months’ full-time work experience recommended but not required Programming knowledge/experience highly recommended.

Domestic applicants: USD 40,375 for the whole programme. Georgia resident program tuition as listed on the programme page Source

International applicants: USD 49,641 for the whole programme. Non-Georgia (out-of-state) resident program tuition as listed on the programme page Source

Graduate programmes (degree, certificate, non-degree and transient): $50 non-refundable application fee; Executive MBA and Executive Doctorate in Business Administration: $100; graduate re-entry: $25. Deadlines vary by college and programme.

Apply through the official page: https://gradapply.gsu.edu/apply/

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