2020 Graduate Outcomes
  • 82.4% average salary increase
  • 1.6 years average time to pay back
  • More than 99% either secured employment or pursued further education within 3 months of graduation
What does it cost?

Georgia residents: $39,000
Non-Georgia residents: $45,000
Nonrefundable seat deposit: $250

Tuition is subject to change. Master of Science in Data Science and Analytics students may be required to complete prerequisite courses for an additional fee.

How long will it take?
  • Full-time format: 12 months (3 semesters). Offers a fast track into the workforce. Classes up to four days a week: Monday-Thursday, 1:00 p.m. and 6:00 p.m.
  • Part-time format: 24 months (6 semesters). Allows working professionals to advance their current careers. Classes up to two evenings a week: Monday-Thursday, 6:00 p.m.

Where can I take classes?
Buckhead Center (200 Tower Place)

Application Deadlines View Admissions Requirements

The Robinson College of Business reviews applications on a rolling basis. The deadlines below are intended to serve as benchmarks. Due to our rolling admissions process, we encourage you to apply as early as possible.

Applicants can expect to receive a decision within six weeks of the Office of Graduate Admissions receiving all required materials.

Students can enter the program in the fall.


Data Science and Analytics, M.S.

Lindsay Fortner, program recruiter

Attend virtual office hours with one of our recruiters to get your questions answered.

Robinson’s M.S. in Data Science and Analytics will empower you with the ability to make sense of huge amounts of unstructured data, draw actionable insights, and solve organizations’ problems. The program is nationally ranked. The program is STEM-designated, meaning you’ll graduate with not only business acumen but also skills in the areas of science, technology, engineering, and math. The coursework is rigorous, but don’t be intimidated; we offer three- to four-week math and programming foundation classes for students who need to get up-to-speed.

You will become comfortable with machine learning, deep learning, Python, and big data, and have the option to attend boot camps covering topics like SAS, Amazon Web Services, and Microsoft Azure. Robinson houses social media intelligence and legal analytics labs, as well as its own big data infrastructure cluster, where students complete hands-on assignments. Speaking of immersive learning, students access our partner companies’ proprietary data in order to solve complex, real-world issues as part of projects we call Insight Sprints. Our students accumulate relevant, impressive experience before they even graduate.

Pursue the Concentration That Works for You

Data Science in Business

This concentration features a multi-disciplinary curriculum that draws on insights from computer science, statistics, and business management. You will learn the statistical and computational methods for collecting, storing, and processing data; identifying patterns in large data sets; predicting and interpreting the findings; and making data-driven decisions.

Earn a Dual Degree

If you are pursuing the Data Science in Business concentration, you also can pursue a dual degree by completing just one more semester of coursework. Developing additional skills will make you especially attractive to employers, and enable you to tap into more than one job market. Areas of study include actuarial science, marketing, quantitative risk analysis, law, and business administration (MBA).


Legal Analytics

Legal analytics is a rapidly growing field. This concentration will prepare to use text mining, machine learning, and artificial intelligence to detect patterns, predict outcomes, and derive insights related to regulation, compliance, litigation, and transactional law.

Program Highlights

No math background? We've designed a course of study for you.

We’ve lifted the programming barrier and designed a pathway through the Data Science in Business concentration for you. The coursework doesn’t require heavy math and programming experience, and makes a career as a citizen data scientist accessible to you. Through immersive coursework, you will learn by doing, and build confidence in abilities you might not realize you possess. You don’t need deep programming skills to interpret data with business acumen, and discover innovative solutions to your organization’s biggest challenges. As part of interdisciplinary projects that require an open mind and collaboration, you will get comfortable with artificial intelligence-driven concepts like machine learning and predictive analytics.

You’ll transform yourself into what Gartner’s data science researcher and advisor Alexander Linden describes as the type of professional companies should cultivate: “people on the business side that may have some data skills, possibly with a math or even social science degree,” who are competent in data exploration and analysis.

You also have the option to complete the traditional Data Science in Business Concentration by completing prerequisite coursework in advanced calculus, linear algebra, and basic programming. Please refer to the Curriculum tab for details.

What's a citizen data scientist?

Coined by Gartner, the term “citizen data scientist” refers to professionals whose primary job function falls outside the statistics or analytics arena. However, they know enough about artificial intelligence-driven techniques to make the case for initiatives and strategies that leverage those tools. Traditional data scientists are expensive and difficult to find. The citizen data scientist role fills that gap. What’s more, the demand for talent who possess both technical and business chops far exceeds current supply. Per Indeed.com, the average citizen data scientist salary is $112,997. It’s the right time to break into this exponentially growing field.

Check out these other statistics from Gartner:

  • The number of citizen data scientists is growing five times faster than the number of expert data scientists.
  • By the end of 2021, “75% of prebuilt reports will be replaced or augmented with automated insights,” opening up the possibility for broader usage by citizen data scientists.
  • “By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in more than 80% of data and analytics strategies and change management programs.”

2020 Graduate Outcomes

  • 82.4% average salary increase
  • 1.6 years average time to pay back
  • More than 99% either secured employment or pursued further education within 3 months of graduation

Collaborate with Partner Companies

Over the course of several weeks, students collaborate with partner companies on what we call Insight Sprints. The organization comes to students with a complicated problem as well as a large set of structured and/or unstructured data. Throughout the semester, students clean the data, develop predictive models, and draw insights based on their findings.

Example Projects

  • Identified repeat blood donors with the American Red Cross
  • Predicted client attrition through text mining with SunTrust Banks
  • Detected fraud via image recognition with Georgia-Pacific
  • Conducted data analysis and mining to find correlations and patterns with Starr Companies
  • Developed a blockchain prototype for TSYS Payment Solutions
  • Improved plan operations using image analytics for WestRock

Program Details

Application Requirements

Learn more about the application process and what you will need to apply.

The M.S. in Data Science and Analytics 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.

  • Industry partners provide real problems with data for insights and solutions.
  • Student teams work with faculty from across the entire university as well as corporate participants.
  • Students get feedback during weekly meetings over a 6- to10-week period.
  • Students engage in practical application of machine learning and predictive analytics.

Data Science and Business Concentration

These students will take all required courses for the M.S. in Data Science and Analytics program as well as the elective course MSA 8200 – Predictive Analytics.

Citizen Data Scientist Pathway

Students who pursue the Citizen Data Scientist Pathway within the Data Science and Business Concentration will substitute:

  • MSA 8010 with IFI 8410 - Introduction to Programming & Predictive Analytics for Business
  • MSA 8150 with IFI 8420 - Machine Learning and Deep Learning for Business

Legal Analytics Concentration

These students will take all required courses for the M.S. in Data Science and Analytics program as well as the elective course MSA 8350 – Legal Analytics.

Below is the course sequence for Full- and Part-Time Students. Visit the catalog for more information on required courses and available electives.

Full-time Students

Pre-requisite Requirements

Academic knowledge of Calculus I, II and III (Multivariate), Linear Algebra and Basic Programming are required. Applicants who need a math/programming refresher or lack a demonstrated knowledge of advanced calculus, linear algebra and basic programming knowledge may be required to take the courses below in the summer prior to starting the program. If required, applicants will be notified in their admission decision letter.

  • MATH7100 (Basic Math for Analytics)
  • MATH7110 (Mathematical Foundations for Analytics)
  • CSC7003 (Foundations for Programming)

Fall 1



  • Internship (optional)

Fall 2

Visit the catalog for information on available electives.

  • Elective 1
  • Elective 2
  • Elective 3

Part-time Students

Visit the catalog for information on available electives.

Fall 1

Spring 1


  • Internship (Optional)
  • Elective 1

Fall 2

Spring 2

Georgia residents: $39,000
Non-Georgia residents: $45,000
Nonrefundable seat deposit: $250

Tuition is subject to change.

Master of Science in Data Science and Analytics students may be required to complete prerequisite courses for an additional fee. Students will be informed if this is the case by the admissions committee.

Financial Aid

Contact Graduate Student Financial Services

We are here to help you understand the cost of your program, the payment schedule and financing opportunities.



Robinson Scholarships

Robinson offers several scholarships through the Office of the Dean as well as the individual academic departments.

Learn More and Apply

Search Georgia State’s Database

Georgia State offers a robust searchable database containing scholarships offered through the university as well as external websites.

Search the Database

Graduate Research Assistantships

Graduate research assistantships are available to offset program costs.

Learn More and Apply


You will be paired with a Graduate Student Experience professional who stays on top of the extracurricular programming that will enhance your academic journey and propel your career. Activities include boot camps on topics that are relevant to your field, professional workshops, networking events, recruiting fairs, and meet-and-greets intended to create camaraderie with your peers.

View a Sample Extracurricular Schedule

Learn More about the Graduate Student Experience Team

The mission of the M.S. in Data Science and Analytics program is to educate students on how to acquire, organize, and model data sets in order to formulate the questions that guide decision-making in corporate and non-corporate settings.

Not Ready to Take the Plunge?
Dip in Now, Dive in Later.

Grace Bendinger is senior manager of clinical services and operations at Emory Healthcare. In her field, creativity and innovation have become just as important as science and technology.

Through the Innovation Studio, Bendinger built the prototype for an app that connects the components of the healthcare system. Currently, those components are fragmented and complex: making an appointment, negotiating with insurance, filling a prescription. Bendinger’s app removes those silos. The platform also helps users navigate a new diagnosis with a checklist of prioritized steps.

Bendinger is more tech savvy than the average nurse but felt apprehensive about developing an app. The class is designed to snowball concepts week by week, and makes it possible for people of all backgrounds to achieve technical competence.


“I never thought I would be able to tell anybody I know how to build an app,” she said. “The Innovation Studio changed that.”

Careers & Certifications

Program graduates work for a variety of well-respected companies  including Aetna, Amazon, Deloitte, Delta Air Lines, Georgia-Pacific, KPMG, Lowe’s, McKinsey & Company, NCR Corporation, PwC, Starr Companies, and Truist.

Our 2020 graduates reported a 82.4% average salary increase, enabling them to pay back their investment in graduate school within 1.6 years. More than 99 percent of them either secured employment or pursued further education within 3 months of graduation.


actuarial analyst

analytics leader

data scientist

managing director

quantitative analyst

rates analyst

risk analyst

senior analytics engineer

senior business information analyst

senior data engineer

Meet Your Faculty

Assistant Professor; Former Research Scientist, IBM

Connie D. and Ken McDaniel WomenLead Chair; Founder, Legal Analytics Lab


Assistant Professor

head shot of Mohammad Feizollahi

Assistant Professor

headshot of Peter Molnar

Senior Data Scientist, Amazon

Headshot of Denish Shah

Director, Social Media Intelligence Lab

Assistant Professor

Headshot of Yusen Xia

Director, Institute for Insight; Program Director, M.S. in Data Science & Analytics

headshot of Houping Xiao

Assistant Professor

Headshot of Baozhong Yang

Associate Professor

headshot of Kai Zhao

Assistant Professor

Program Stories

Graduate CertificatesGeorgia State to Offer Graduate Certificates in AI Business Innovation, Disruptive Innovation and Entrepreneurship, and Fintech Innovation
Beginning in January 2021, Georgia State University’s Robinson College of Business will admit new students to three stand-alone graduate certificate programs that address current and emerging market demand for innovation.
Robinson College of Business Graduate Enrollment Surges 78 Percent; Incoming Class is Largest, Most Diverse in its History
Robinson welcomed 862 new graduate students this fall, a 78 percent increase over 2019’s incoming class of 484 students. They are enrolled in 14 degree programs.
New Grad Student Q&A: Samantha Jones
Samantha Jones worked for a small digital marketing agency that focuses on Atlanta-based businesses, and can't wait to partner with more local companies on Insight Sprints.


Attend virtual office hours with one of our recruiters to get your questions answered.

Lindsay Fortner, program recruiter

35 Broad St NW
Atlanta, GA 30303