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What does it cost?

Georgia residents: $3,726 per semester
Non-Georgia residents: $8,898 per semester

Tuition is subject to change. Refer to the Tuition tab below for additional details.

Please note: the above tuition rates apply to new non-degree-seeking students. Current master's students who embed a certificate within their degree will be charged at a different rate. See the Tuition tab below to learn more.

How long will it take?

The program can be completed in as little as 9 months (2 semesters).

Where can I take classes?
Online

Only online classes are available at this time.

Application Deadlines View Admissions Requirements

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.

International Applicants
International applicants who need a student visa must apply by an earlier, hard deadline.

Note: This program does not qualify for an I-20.

Find your deadline

Artificial Intelligence Business Innovation, Graduate Certificate

Graduate Admissions,
[email protected]
Online Program,
[email protected]

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

New tools and packages are rapidly democratizing the field of data science, giving rise to the role of “citizen data scientists”—professionals who may not have deep programming skills but, with the right tools, are capable of leveraging advanced technologies as well as working with and leading teams of data scientists to create value and realize the potential of artificial intelligence. A recent Gartner study projects the number of citizen data scientists will grow five times faster than the number of expert data scientists in the next few years.

The Artificial Intelligence Innovation Certificate program is designed with the citizen data scientist in mind. You will examine AI-related concepts that lead to discovery of innovative solutions to business challenges. Key topics include data programming, machine learning and predictive analytics.

Leverage the Known and Unknown in Our Innovation Studio

What truly sets the certificate apart is our Innovation Studio, which provides an experiential environment for networking and collaboration. As part of an interdisciplinary team, you will test prototypes, design compelling and competitive value propositions and pitch to prospective customers and investors. You also will develop critical soft skills like emotional intelligence, communication and social influence/trust. Via a collision of perspectives and concepts, you will become comfortable with ambiguity and experimentation and build the courage to explore and leverage the known—and unknown—technologies that are profoundly impacting our world.

Available Through Robinson Anywhere

Robinson Anywhere is an advanced education platform that is as close to in-person interaction as it gets. In fact, we think it’s even better. You’ll engage in real-time dialogue with instructors, guest speakers, and partner employers, and hear the perspectives of students from all over the world.

Apply Your Certificate Toward a Future Master’s
You can take your certificate even further, if you decide. Credits from your courses can be applied toward our MBA or M.S. in Data Science & Analytics program, upon admission. You can dip your toe in now, and dive all in later—whatever makes sense, considering your unique situation and goals.
Embed Your Certificate into Your Master’s
If you currently are pursuing an MBA or M.S. in Data Science & Analytics at Robinson, you can embed this certificate into your coursework. By taking just four classes, you will give yourself a powerful edge and stand even further apart from other talent.

Program Details

Application Requirements

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

The program can be completed in as little as 9 months (2 semesters).

Two-Semester Program of Study

Required Courses

  • IFI 8410 – Introduction to Programming & Predictive Analytics for Business
    This course prepares students to utilize both structured and unstructured data in decision making, and to use models to address business challenges such as reducing customer churn, predicting market demand and forecasting stock prices. After taking this class, students will be able to: (1) frame a business problem using predictive analytics, (2) ascertain how and when to use specific models to address business problems and (3) develop the necessary proficiency in Python and R to tackle those issues.
    View Sample Syllabus
  • ENI 8010 – Innovation Studio 1: Innovation and Design Thinking
    Design thinking is taught as a systematic approach to innovation and creative problem-solving that can be used in many industries. In this course, students are introduced to resourceful problem discovery through methods of noticing, observing and analyzing data. Using a combination of the lean startup methodology and design thinking, students conduct experiments as well as interviews and test prototypes to verify the viability of proposed solutions. Further, ideation models are applied to conceptualize new-to-the-world technologies, business models, products, and services as potential business ventures. Students will become comfortable with ambiguity, experimentation and online collaboration.
    View Sample Syllabus
  • IFI 8420 – Machine Learning and Deep Learning for Business
    This course provides an introduction to machine learning and artificial intelligence. Since unstructured data comprises a large and important source of information, students cover deep learning techniques to tackle complex problems involving images, text and recommendation systems. After taking this course, students will: (1) understand the basics of machine learning and its application to business problems, (2) be able to apply insights to complex AI projects and (3) understand the pros and cons of different techniques and their preferred business application scenarios.
    View Sample Syllabus

Elective Courses (Select One)

  • ENI 8011 – Innovation Studio 2: Launch and Scale
    This experiential course is treated as a mini-accelerator. The class teaches “the entrepreneurial mindset” as well as how to apply that to launch and scale a business, develop solutions to business challenges or create new products and services that result in growth opportunities for an organization. Students explore a rigorous and disciplined approach to validating product market fit, building teams, developing viable business models and crafting messaging and pitches that resonate with the audience. Students apply these learnings on a remote team project. The challenge? Launching and scaling a business or solution, ideally generating revenue before the end of the semester. Every few weeks, students convene in the classroom to receive feedback and coaching on their approaches, results and future experiments.
    View Sample Syllabus
  • IFI 8430 – Advanced Analytics Experience
    This course prepares students to proceed through the four stages of an analytics workflow: (1) business problem framing, (2) data preparation and exploration, (3) analytics methodologies and (4) presentation and visualization. Students explore and tackle analytics methods to solve issues such as pricing, analyzing customer review data, market segmentation, customer discovery and process improvement. Students learn how to collect and clean data, handle missing values, examine descriptive statistics, build different models as well as identify the most accurate and interpretable one and present insights from the model’s output.
    View Sample Syllabus
  • FI 8092 - Artificial Intelligence and Machine Learning Applications in Finance
    Students will develop skills for applying modern machine learning methods and other analytics techniques (such as Python programming) to address practical problems encountered in asset management, corporation finance and financial institution settings. The techniques include tree regression, neutral network, textual analysis, web scraping, data visualization and model assessment and selection using cross-validation.

Georgia residents: $3,726 per semester
Non-Georgia residents: $8,898 per semester

Tuition is subject to change.

Please note: the above tuition rates apply to new non-degree-seeking students. Students who are enrolled in a cohort master's program will be charged at their current cohort tuition rate. Students who are enrolled in the Flexible MBA program will be charged at their current flexible tuition rate.

Financial Aid

Contact Graduate Student Financial Services
We are here to help you understand the cost of your program (including the financial aid cost of attendance (https://sfs.gsu.edu/resources/coa/)), the payment schedule and financing opportunities.

[email protected]
404-413-7086

The mission of the Graduate Certificate in Artificial Intelligence Business Innovation is to produce “citizen data scientists”—professionals who may not have deep programming skills but, with the right tools, are capable of leveraging advanced technologies as well as working with and leading teams of data scientists to create value and realize the potential of artificial intelligence.

Meet Your Faculty

headshot of rasha ashraf

Lead Data Scientist, DataScan

Dave Forquer Headshot

Retired Assistant Dean
for Executive Programs

Elizabeth Strickler

Director, Media Entrepreneurship
& Innovation Programs

Yangqing Wang

Associate Professor

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Contacts

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

Graduate Admissions
[email protected]

Online Program
Lindsay Fortner,
Assistant Director, Graduate Recruiting
[email protected]

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