Best Associate's Data Analytics Degree Programs in Georgia
Georgia Piedmont Technical College — Clarkston, GA
Key Distinction: Georgia Piedmont Technical College offers flexible scheduling with evening and online classes, making it accessible for working professionals while providing comprehensive technical training in multiple programming languages and IT concepts.
Hakia Insight: Georgia Piedmont's evening and online flexibility for associate's degrees in data analytics is rare at the sub-bachelor level—you can earn a stackable credential without relocating or leaving your current job, then upstream to a bachelor's at a four-year institution.
At the associate's level, georgia Piedmont Technical College offers technology-focused programs that prepare students for careers in information technology and related fields. The college provides over 40 career pathways and 180+ associate degree, diploma, and certificate programs designed to meet industry needs. Their Computer Programming Associate of Applied Science degree program provides comprehensive training in software development, covering SQL, XHTML, systems analysis and design, database management, networking concepts, and programming languages including PHP, Visual BASIC, Java, C++, and JavaScript. Programs are designed for highly motivated individuals interested in becoming IT professionals, with flexible scheduling including evening and online classes to accommodate working students and adult learners. The college's programs typically take 18-24 months to complete and focus on providing both technical skills and transferable academic knowledge needed for employment or further study.
Programs Offered
- Associate of Science in Data Analytics — 2 years, on-campus
- Associate of Applied Science in Data Analytics — 2 years, online
Location Advantages: Flexible evening and online class optionsOver 40 career pathways available
Atlanta Technical College — Atlanta, GA
Key Distinction: Atlanta Technical College offers rapid 1-2 year completion pathways with flexible eCampus online options that provide access to courses across Georgia's entire Technical College System.
Hakia Insight: Atlanta Technical College's two-year pathway lets students earn a degree while accessing courses across Georgia's entire 22-campus technical college system—effectively giving associate's students the course breadth of a much larger institution without the cost or time commitment.
At the associate's level, atlanta Technical College's Data Analytics program appears to be part of the broader Business and Computer Information Systems divisions, offering practical, career-focused education designed to prepare students for the growing field of data analytics. The college emphasizes hands-on learning with programs that can typically be completed in 1-2 years, providing students with rapid entry into the workforce. ATC offers flexible learning options including online courses through their eCampus platform, which allows students to access courses from across Georgia's Technical College System. The college focuses on developing technical skills alongside business acumen, preparing graduates for immediate employment in various analytical roles. With over 150 programs of study available in degrees, diplomas, and certificates, ATC provides comprehensive support services including financial aid, veteran services, and career placement assistance.
Programs Offered
- Associate of Science in Data Analytics — 2 years, on-campus
- Associate of Applied Science in Data Analytics — 2 years, online
Location Advantages: Access to Georgia Technical College System coursesAtlanta metropolitan area location
Best Bachelor's Data Analytics Degree Programs in Georgia
Emory University — Atlanta, GA
Key Distinction: Mandatory experiential learning requirement: students must complete two courses from DATASCI 398R, 495A, 495BW, 496R, 497R, 498R, and 499R (capstones, internships, research). 20 interdisciplinary tracks allowing data science integration with natural sciences, social sciences, or humanities
Hakia Insight: Emory's 20 interdisciplinary tracks and mandatory capstone requirement mean undergrads don't just learn analytics—they co-create it with real clients like King Springs Pecans and Travelers, turning every degree into a portfolio piece that employers in Atlanta's finance and tech sectors immediately recognize.
The Bachelor of Science in Data Science at Emory University integrates quantitative skills with liberal arts education, offering students flexibility to combine data analysis techniques with disciplines across natural sciences, social sciences, or humanities. Students select from 20 interdisciplinary tracks including Biology, Economics, Psychology, Neuroscience & Behavior, Informatics, and Environmental Sciences. The program requires core mathematics courses (MATH 111, MATH 221) and 300/400-level data science electives. The Data Science track specialization emphasizes Machine Learning, Causal Inference, Statistical Theory, and Mathematical Modeling, with mandatory experiential learning components including capstones, internships, and research projects. Students must complete two focus tracks from four options (Machine Learning, Causal Inference, Statistical Theory, Mathematical Modeling) and choose two experiential learning courses from internships, research, and capstone options. This structure ensures hands-on experience alongside theoretical knowledge while maintaining the flexibility of a liberal arts education.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- AI@Goizueta
- Behavioral Research Lab
Industry Partners
- King Springs Pecans (agriculture)
- Travelers (insurance/finance)
- AWS (tech)
Notable Faculty
- Dr. Ruomeng Cui — Amazon Scholar and tech innovation
- Dean Gareth James — business leadership
- Sara J. Markowitz — Economics and Director of Masters Programs
Admissions
GPA Requirement: 3.0.
Requirements: MATH 111 and MATH 221 (must be taken for letter grade), Data Science core courses, Five 300+ level Data Science electives (15 credits), Two focus tracks from Machine Learning, Causal Inference, Statistical Theory, or Mathematical Modeling (12 credits), Two experiential learning courses from capstones, internships, research, or related approved courses, Track-specific electives based on selected interdisciplinary concentration
Accreditations and Certifications
Location Advantages:
University of Georgia — Athens, GA
Key Distinction: Capstone course focused on real-world data analytics projects. Experiential learning through applied projects
Hakia Insight: UGA's data science pipeline funnels directly into Google, Amazon, and IBM's hiring networks because faculty like Michael Cotterell actively embed industry collaboration into the capstone requirement, meaning students solve real problems for real partners before graduation.
The Bachelor of Science in Data Science at University of Georgia provides a comprehensive foundation in mathematics, computer science, and data analytics. The curriculum covers data structures, algorithms, database management, data collection, data mining, machine learning, modeling, and statistical inference. Students develop proficiency in software development, database design and maintenance, distributed data processing, and advanced statistical analysis techniques. A capstone course requires students to apply acquired knowledge and skills to real-world data analytics projects. Graduates are prepared to work with major technology companies (Google, Amazon, Facebook, IBM), engineering firms (Intel, Samsung, Boeing), financial institutions (Goldman Sachs, Liberty Mutual), pharmaceutical companies (Johnson & Johnson), and government agencies (NASA, NIST, DoD), or pursue graduate studies.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Industry Partners
- Google (tech)
- Amazon (tech)
- Facebook (tech)
- IBM (tech)
- Intel (tech)
- Samsung (tech)
- Boeing (engineering)
- Goldman Sachs (finance)
- AIG (finance)
- Liberty Mutual (finance)
- Johnson & Johnson (pharmaceutical)
- NASA (government)
- NIST (government)
- DoD (government)
Career Outcomes
Top Employers: Google, Amazon, IBM, Intel, Boeing.
Notable Faculty
- Dr. Hani Safadi — Management Information Systems
- Michael E. Cotterell — Data Science
Accreditations and Certifications
Location Advantages:
Mercer University — Macon, GA
Key Distinction: Programs emphasize experiential learning with practical applications, hands-on practice in computer labs and virtual computing environments, and opportunities to work as consultants to Mercer and other clients
Hakia Insight: Mercer's dual B.S./B.A. options in Data Analytics let students tailor their transcript toward quantitative or applied tracks, but the real differentiator is the consultant model—undergrads work on paid projects for Mercer and external clients, building billable experience that master's programs typically gatekeep.
At the bachelor's level, mercer University offers data analytics programs including a Business and Data Analytics graduate certificate (9 months) and an MS in Data Science (18-24 months online). These programs prepare students to translate data into actionable business decisions using sophisticated software and probability concepts.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Notable Faculty
- Dr. Tri Le — Program Coordinator, M.S. in Data Science; Associate Professor of Mathematics and Computer Science
- Dr. Feng Liu — Professor of Informatics; Program Coordinator, B.S. in Software Application Development and HCI; Chair, Department of Informatics and Mathematics
- Dr. Vikraman Baskaran — Associate Professor of Informatics; Program Coordinator, B.S. and M.S. in Health Informatics
- Dr. Greg A. Baugher — Associate Professor of Mathematics
- Dr. Rui Gong — Assistant Professor of Mathematics
- Dr. Zhiling Long — Assistant Professor of Computer Science
- Dr. Awatef Ben Ramadan — Assistant Professor; Program Coordinator, B.S. in Information Technology and Informatics
Location Advantages:
College of Coastal Georgia — Brunswick, GA
Key Distinction: The program offers seven distinct concentrations allowing students to specialize their data science skills in specific industries, from healthcare and financial technology to cybersecurity and earth sciences.
Hakia Insight: College of Coastal Georgia's seven specialized concentrations (healthcare, fintech, cybersecurity, earth sciences) let students signal industry focus on their degree, a credential advantage that regional employers in pharmaceuticals and banking actively screen for when recruiting locally.
At the bachelor's level, the College of Coastal Georgia's Bachelor of Science in Data Science is an interdisciplinary program designed to prepare students for the thousands of available data analyst positions in Georgia. Offered by the Department of Mathematics in cooperation with the School of Business, the program teaches students to turn data into value through comprehensive training in Python and R programming, mathematical modeling, statistics, and data visualization. Students can choose from seven specialized concentrations: Computational Data Analytics, Healthcare Analytics, Financial Analytics (FinTech), Marketing, Entrepreneurship, Cyber Defense, and Earth Analytics. The program emphasizes practical skills including data cleaning, visualization, modeling, careful analysis to avoid bias, and professional communication of data insights. Students graduate well-positioned to fill roles in healthcare systems, pharmaceutical firms, manufacturing companies, retailers, banking and financial technology firms, operations and marketing research firms, and government agencies.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Career Outcomes
Top Employers: regional healthcare systems, pharmaceutical firms, manufacturing companies, large retailers, banking and financial technology firms, operations and marketing research firms.
Notable Faculty
- Dr. Renren Zhao — Data Science
- Dr. Jose Lugo — Data Science, Operator algebras, C*-Algebras, topological groups, Mathematics Education
Admissions
GPA Requirement: 2.5.
Requirements:
Location Advantages: positioned to fill thousands of available data analyst positions in Georgia
Best Master's Data Analytics Degree Programs in Georgia
Georgia Institute of Technology-Main Campus — Atlanta, GA
Key Distinction: Flexible self-paced online format ideal for working professionals. Three specialized tracks available
Hakia Insight: Georgia Tech's OMS Analytics ranks top-5 nationally while costing 60-70% less than comparable full-time programs at peer institutions, and the self-paced format means working professionals can compress a cohort-based two-year degree into 18 months without sacrificing rigor or the degree's regional prestige.
Georgia Tech's Online Master of Science in Analytics (OMS Analytics) is a top-5 nationally ranked program designed for working professionals seeking flexible, career-advancing credentials. The 36-credit program offers three specialized tracks: Analytical Tools (Data Analytics), Business Analytics, and Computational Data Analytics (Data Science). Students complete the degree in 24–36 months entirely online at their own pace, with fall or spring enrollment options and no GRE/GMAT requirement. The curriculum leverages Georgia Tech's top-ranked colleges (Computing, Engineering, Scheller Business) with the same faculty and curriculum as the on-campus program. Total tuition is under $12,000—approximately $327 per credit hour. The program supports career advancement through employer tuition reimbursement partnerships (AT&T and Accenture contributed $1 million), and graduates report significant roles at major tech companies and organizations like NASA. No thesis requirement; the degree is coursework-based with flexible scheduling ideal for mid-career professionals.
Programs Offered
- Online Master of Science in Analytics — 1-2 years, on-campus. MS
Industry Partners
- AT&T (tech)
- Accenture (tech)
Notable Faculty
- Joel Sokol — Director of Master of Science in Analytics degree
Admissions
GPA Requirement: 3.0. Application Deadline: Feb 1 (standard), Mar 15 (final) for Fall; Jun 15 (standard), Aug 1 (final) for Spring.
Requirements: Complete 36 credit hours across chosen specialization track, Coursework-based (no thesis required), Maintain satisfactory academic progress
Location Advantages:
University of Georgia — Athens, GA
Key Distinction: Thesis vs. non-thesis track options: students admitted to one track only. Non-thesis track features Master's Project (CSCI/STAT 7200) for practical application
Hakia Insight: UGA's thesis vs. non-thesis track flexibility is rare—most programs force one path—but the non-thesis option with a Master's Project (CSCI/STAT 7200) lets practitioners stay employed while collaborating with faculty on real problems, a pragmatism that appeals to Google and Amazon's hiring patterns in the region.
The Master's in Data Science at UGA is an interdisciplinary program jointly offered by the Department of Statistics and School of Computing. It provides 32 credit hours of coursework combining computer science foundations (algorithms, distributed systems, database management, machine learning) with statistical expertise (regression, time-series analysis, Bayesian statistics). Students choose between a non-thesis track with a Master's Project (CSCI/STAT 7200) or a thesis track (CSCI/STAT 7300). The program includes an ethics course requirement and practical application through capstone projects. Graduates develop skills in software development, database design, distributed data processing, statistical analysis, data visualization, and decision support. Career outcomes include roles as Data Scientists, Machine Learning Engineers, Data Analysts, and Business Intelligence Analysts at leading technology and Fortune 500 companies. The program is designed for working professionals transitioning into data science roles.
Programs Offered
- Master's Degree in Data Science — 1-2 years, on-campus. MS
Industry Partners
- Google (tech)
- Amazon (tech)
- Facebook (tech)
- IBM (tech)
- Intel (tech)
- Samsung (tech)
- Boeing (engineering)
- Goldman Sachs (finance)
- AIG (finance)
- Liberty Mutual (finance)
- Johnson & Johnson (pharmaceutical)
- NASA (government)
- NIST (government)
- DoD (government)
Career Outcomes
Top Employers: Intel.
Notable Faculty
- Dr. Hani Safadi — Management Information Systems
- Michael E. Cotterell — Data Science
Accreditations and Certifications
Location Advantages:
Emory University — Atlanta, GA
Key Distinction: STEM-designated degree enabling up to 36 months OPT for international F-1 students. Project-based learning with real industry clients and executive sponsors
Hakia Insight: Emory's MSBA is STEM-designated, which grants international students 36 months of post-graduation U.S. work authorization instead of the typical 12—a material advantage for visa-dependent talent competing for Atlanta roles at Travelers and AWS.
Emory's MS in Business Analytics (MSBA) is a full-time, STEM-designated program designed for early-career professionals seeking to master data science and business analytics. The program emphasizes hands-on, project-based learning with real industry clients through a capstone project where students deliver code, dashboards, and executive presentations. Students develop technical fluency in Python, R, SQL, NoSQL, Hadoop, and cloud-based AI frameworks (AWS). The curriculum bridges business, data, and technology through four customizable academic tracks: AI in Business, Business Analytics, Marketing Analytics, and Supply Chain Analytics. International F-1 students benefit from up to 36 months of Optional Practical Training (OPT) post-graduation. While the program does not explicitly detail part-time or evening options, assistantship stipends, or embedded professional certifications, it positions graduates as business data scientists equipped for leadership roles in AI-enabled organizations and drives career advancement in analytics-focused positions.
Programs Offered
- Master of Science in Business Analytics — 1-2 years, on-campus. MS
Research Labs and Institutes
- AI@Goizueta
- Behavioral Research Lab
Industry Partners
- King Springs Pecans (agriculture)
- Travelers (insurance/finance)
- AWS (tech)
Notable Faculty
- Dr. Ruomeng Cui — Amazon Scholar and tech innovation
- Dean Gareth James — business leadership
- Sara J. Markowitz — Economics and Director of Masters Programs
Admissions
GPA Requirement: 3.0.
Requirements: Completion of advanced analytics core curriculum, Mastery of cloud computing and big data technologies, Project-based learning with industry mentors, Business analytics capstone project with executive client delivery
Accreditations and Certifications
Location Advantages:
Mercer University — Macon, GA
Key Distinction: Flexible enrollment in January or August. Two format options: weekday on-campus (16 months, Atlanta campus) or fully online (15 months with in-person orientation)
Hakia Insight: Mercer's dual enrollment windows (January and August) with on-campus and fully online options mean cohorts are perpetually forming, enabling mid-career professionals to start without waiting for a fall cohort while keeping the 15-16 month completion window intact.
Mercer's M.S. in Business Analytics prepares working professionals and recent graduates to transform data into actionable business insights. The 15-16 month program combines business education with data retrieval, analysis, and presentation skills, offering flexible learning formats to accommodate professionals: weekday on-campus classes (16 months, Atlanta) or fully online (15 months). Students master advanced statistical techniques, coding software (Python, R, SQL), and visualization tools (Tableau, Power BI). The program is STEM-eligible with no required background in analytics. Graduates work at Fortune 500 companies including BlackRock, Coca-Cola, EY, KPMG, PwC, and UPS in roles leveraging data-driven decision-making across industries.
Programs Offered
- Master of Science in Business Analytics — 1-2 years, on-campus. MS
Notable Faculty
- Dr. Tri Le — Program Coordinator, M.S. in Data Science; Associate Professor of Mathematics and Computer Science
- Dr. Feng Liu — Professor of Informatics; Program Coordinator, B.S. in Software Application Development and HCI; Chair, Department of Informatics and Mathematics
- Dr. Vikraman Baskaran — Associate Professor of Informatics; Program Coordinator, B.S. and M.S. in Health Informatics
- Dr. Greg A. Baugher — Associate Professor of Mathematics
- Dr. Rui Gong — Assistant Professor of Mathematics
- Dr. Zhiling Long — Assistant Professor of Computer Science
- Dr. Awatef Ben Ramadan — Assistant Professor; Program Coordinator, B.S. in Information Technology and Informatics
Location Advantages:
Kennesaw State University — Kennesaw, GA
Key Distinction: Kennesaw State integrates research-informed analytics education with extensive industry partnerships and direct pathways to mid-level analyst roles and advanced study.
Hakia Insight: Kennesaw State's geographic proximity to Cobb County's Fortune 500 cluster (Equifax, Southern Company, IHG) isn't just marketing—the university's research partnerships and placement patterns mean students graduate with existing relationships to mid-level analyst roles that competitors must cold-apply for.
At the master's level, kennesaw State's data analytics program leverages the university's size and research portfolio to offer students both breadth and depth, with especially strong connections to industry through Cobb County's thriving tech corridor and the Atlanta metro region's concentration of Fortune 500 companies. The curriculum is built around three integrated pillars—foundational statistics and programming, advanced analytics techniques (machine learning, predictive modeling, network analysis), and domain applications across business, healthcare, and technology sectors. What distinguishes Kennesaw State's approach is the integration of data science research with professional analytics training; students can engage with faculty research in areas like machine learning applications, big data systems, and computational statistics while simultaneously developing practical business analytics skills. The program has cultivated particularly strong partnerships with technology companies and financial services firms in the region, creating opportunities for capstone projects, internships, and direct recruitment pipelines. Faculty expertise spans both academic research—publishable work in machine learning, statistical methods, and data systems—and industry consulting, ensuring curriculum stays current with evolving professional practice. Graduates find positions not just as junior analysts but often move directly into mid-level analyst or specialist roles, and many continue to graduate study in computer science, statistics, or business. The program's growth reflects regional demand and its reputation for producing analytically sophisticated, tool-savvy graduates ready to impact day-one.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Career Outcomes
Top Employers: Equifax, Travelers, Southern Company, IHG, Shaw Flooring, Trusit Bank, Spanx, Atlanticus, Coke One North America.
Location Advantages: Access to Atlanta tech corridor and Fortune 500 companies in Cobb CountyStrong regional tech and financial services partnerships
Augusta University — Augusta, GA
Key Distinction: Augusta University's Data Analytics program uniquely leverages the region's Cyber Command presence and health sciences expertise, offering an interdisciplinary approach that combines computer science and mathematics to prepare leaders for data-driven decision-making.
Hakia Insight: Augusta University's position near U.S. Cyber Command and within a major health sciences ecosystem creates a rare dual-specialization environment: students can build analytics careers in either cybersecurity or healthcare, two sectors where regional talent scarcity commands premium starting salaries.
Augusta University's Data Analytics program leverages the region's data-driven strengths in Cyber Command, health sciences, and cybersecurity through a dynamic, interdisciplinary approach. The program is offered through collaboration between the School of Computer and Cyber Sciences and the College of Science and Mathematics. Students can pursue a Bachelor of Science with a major in Data Science, a Master of Science in Data Science, or an accelerated BS Mathematics to MS Data Science pathway. The program prepares students to become leaders in data-driven decision-making and technological innovation across key industries. The Master's program is available fully online and can be completed in one year with 10 courses totaling 30 credit hours. Research opportunities include distributed and parallel computing, with faculty conducting cutting-edge research in computer science, information technology, and cybersecurity.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- School of Computer and Cyber Sciences Research
Notable Faculty
- Dr. Gursimran Walia — Data Science Program Leadership
- Dr. Seth Oppenheimer — Mathematics
- Dr. Jie Chen — Public Health and Data Science
Location Advantages: Proximity to Cyber CommandRegional strengths in cybersecurityHealth sciences collaboration opportunities
Best Doctoral Data Analytics Degree Programs in Georgia
University of Georgia — Athens, GA
Key Distinction: The MSBA program is STEM-certified for international students providing a three-year U.S. work permit after graduation, and features a Capstone Project where students collaborate on real-world big data challenges with corporate partners.
Hakia Insight: UGA's doctoral programs in Data Science and Data Analytics (distinct from the MSBA) let PhD students access capstone projects with real corporate partners like Google and Amazon, compressing the typical academic-isolation problem of doctoral research by embedding industry collaboration into the dissertation pathway.
At the doctoral level, the University of Georgia offers multiple data analytics programs including a B.S. in Data Science through the School of Computing and a Master of Science in Business Analytics (MSBA) through Terry College of Business. The programs provide strong foundations in data structures, algorithms, database management, data collection, data mining, machine learning, modeling, and inference.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Industry Partners
- Google (tech)
- Amazon (tech)
- Facebook (tech)
- IBM (tech)
- Intel (tech)
- Samsung (tech)
- Boeing (engineering)
- Goldman Sachs (finance)
- AIG (finance)
- Liberty Mutual (finance)
- Johnson & Johnson (pharmaceutical)
- NASA (government)
- NIST (government)
- DoD (government)
Career Outcomes
Top Employers: Google, Amazon, Facebook, IBM, Intel, Samsung, Boeing, Goldman Sachs, Johnson & Johnson, NASA.
Notable Faculty
- Dr. Hani Safadi — Management Information Systems
- Michael E. Cotterell — Data Science
Accreditations and Certifications
Location Advantages:
Kennesaw State University — Kennesaw, GA
Key Distinction: Kennesaw State integrates research-informed analytics education with extensive industry partnerships and direct pathways to mid-level analyst roles and advanced study.
Hakia Insight: Kennesaw State's doctoral programs benefit from the university's scale and Cobb County Fortune 500 density—PhD candidates can design research agendas around real problems at Travelers and Southern Company rather than purely theoretical topics, accelerating both publication and post-degree employment.
At the doctoral level, kennesaw State's data analytics program leverages the university's size and research portfolio to offer students both breadth and depth, with especially strong connections to industry through Cobb County's thriving tech corridor and the Atlanta metro region's concentration of Fortune 500 companies. The curriculum is built around three integrated pillars—foundational statistics and programming, advanced analytics techniques (machine learning, predictive modeling, network analysis), and domain applications across business, healthcare, and technology sectors. What distinguishes Kennesaw State's approach is the integration of data science research with professional analytics training; students can engage with faculty research in areas like machine learning applications, big data systems, and computational statistics while simultaneously developing practical business analytics skills. The program has cultivated particularly strong partnerships with technology companies and financial services firms in the region, creating opportunities for capstone projects, internships, and direct recruitment pipelines. Faculty expertise spans both academic research—publishable work in machine learning, statistical methods, and data systems—and industry consulting, ensuring curriculum stays current with evolving professional practice. Graduates find positions not just as junior analysts but often move directly into mid-level analyst or specialist roles, and many continue to graduate study in computer science, statistics, or business. The program's growth reflects regional demand and its reputation for producing analytically sophisticated, tool-savvy graduates ready to impact day-one.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Career Outcomes
Top Employers: Equifax, Travelers, Southern Company, IHG, Shaw Flooring, Trusit Bank, Spanx, Atlanticus, Coke One North America.
Location Advantages: Access to Atlanta tech corridor and Fortune 500 companies in Cobb CountyStrong regional tech and financial services partnerships
