Master of Science (M.S.) in Applied Data Science
Master of Science (M.S.) in Applied Data Science
Statistics is a field that combines rigor, creativity, and practical application. I hope students develop not only a solid foundation in data science and statistics in my classes, but also the ability to think critically, analyze data effectively, and communicate their findings to diverse audiences.
Senior Lecturer
Overview
The fully online Master of Science in Applied Data Science from the University of Georgia equips professionals with the advanced skills needed to lead in today’s data-driven economy. Offered through UGA’s Franklin College Department of Statistics, the program blends statistics, machine learning, natural language processing, and data management into a cohesive, applied curriculum.
Students gain hands-on experience with Python and R, advance their knowledge in data science algorithms and statistical modeling, and explore practical tools for managing, analyzing, and visualizing data. This 30-credit hour degree is designed with working professionals in mind, allowing you to build expertise in applied data science without putting your career on hold.
The program reflects UGA’s commitment to accessible, high-quality graduate education in applied data science.
What will I learn in UGA’s applied data science program?
You’ll develop a strong foundation in both programming and statistics, with courses including:
- Python and R for data science
- Advanced statistical modeling and machine learning
- Natural language processing (NLP)
- Clustering and classification techniques
- Database design, SQL, and data management
Emphasis is placed on practical, applied skills that prepare you to handle real-world data challenges.
What makes UGA’s M.S. in Applied Data Science different from other data science programs?
UGA’s program stands out for its strong foundation in statistics, applied focus, and close connection to industry. It begins with accessible courses for students with little or no programming background and develops into a rigorous graduate level curriculum that builds real expertise.
You will learn from dedicated full time faculty and program leaders across statistics, linguistics, and information systems. These educators combine academic research with real world insight. The program integrates statistical reasoning, machine learning, natural language processing, and ethical data practice to connect theory with application.
The mentoring model and active Industry Advisory Board keep coursework aligned with current data and AI practice. As part of one of the nation’s top public research universities, you will earn a UGA degree known for both academic rigor and practical relevance.
What can I do with a master’s in applied data science?
Graduates are prepared for roles such as data scientist, machine learning engineer, business intelligence analyst, data analyst, NLP engineer, and decision support specialist. Many also move into leadership positions such as data science manager, analytics lead, or AI strategy director.
The program builds cross-disciplinary skills that apply across sectors including technology, healthcare, finance, and government, helping you lead in data-informed environments.
Is there a growing demand for data science professionals?
Yes. The demand for skilled data professionals continues to rise across technology, healthcare, finance, and government. The U.S. Bureau of Labor Statistics projects job growth for data scientists and related roles to remain well above the national average. Employers increasingly seek professionals who can turn data into insight and apply it to real problems, which makes applied data science skills highly valuable in today’s job market.
While AI tools are advancing rapidly and can now automate parts of coding and analysis, data experts remain essential for bringing context, judgment, and a human touch to interpretation. The data professionals who learn to use AI effectively will be the ones shaping how organizations think, decide, and innovate.
Do I need a computer science or math degree to apply?
No. While a background in a quantitative field such as mathematics, statistics, computer science, engineering, or economics is helpful, it is not required. Applicants from other disciplines, including those with little or no programming experience, who demonstrate quantitative or analytical skills are encouraged to apply.
Having some experience with programming always helps, as does a willingness to learn. The program begins with foundational courses that build your skills step by step before moving into advanced material. We also provide learning resources and optional preparatory materials to help you feel confident before classes begin.
Is the M.S. in Applied Data Science fully online?
Yes. The entire program is delivered online, including all lectures, coursework, and assessments. You will complete your work through eLC, UGA’s online learning platform. Some instructors may offer optional live sessions for questions or discussion, but recordings are always available if you cannot attend. This flexibility allows you to continue working full time while earning your degree.
How long does the online M.S. in Applied Data Science program take to complete?
The program requires 30 credit hours and is designed to be completed in about five semesters, or roughly two years. Students take two courses each semester, including summer. This steady pace fits well for professionals balancing work and study. For unforeseen situations, and once approved, you may take just one class in a semester. Students follow a structured sequence of core and advanced courses that build progressively in complexity and specialization.
Will I be part of a cohort or learn at my own pace?
You will join a small, connected cohort of students who move through the program together. This structure helps you build community, accountability, and support while still maintaining flexibility. You’ll get to know your peers well and often collaborate on projects, forming strong professional connections that extend beyond graduation.
Can I take more than two courses or finish early?
As a new program, we are building courses as we go, so the short answer to this question is no. Once we have most of our classes available, this may become possible, and we will update you on this when the time comes.
What kind of technology do I need before starting?
You will need a laptop or desktop computer with a reliable internet connection, a webcam, and a headset or microphone. Most of your work will take place in UGA’s online systems, such as eLC and cloud-based computing environments for Python and R. You don’t need to install heavy software or have specialized hardware — everything is designed to run smoothly online.
Can I take a semester off if needed?
Yes, you can. If unexpected circumstances come up, you may request to take a semester off. You will need to submit a formal leave of absence request through the Graduate School and inform the Program Director. It’s important to plan ahead so you can rejoin your cohort smoothly when you return.
What is the weekly workload like?
Most students spend about 8 to 12 hours per week on each course. This includes watching lectures, completing assignments, participating in discussions, and working on projects. It also depends on your background, but in general, this is the expected range. Some weeks may be lighter or heavier depending on the topic, but the overall schedule is designed to be manageable for working professionals.
Who helps me with registration and course planning?
You will have academic advising each term before registration. The advising process is simple and online. You will receive instructions, course registration numbers, and reminders by email. If you have any questions or holds in Athena, you can contact the Program Director or your advisor for help. Please email datascience@uga.edu for assistance.
Will my diploma say “online”?
No. Your diploma will read Master of Science in Applied Data Science from the University of Georgia. The delivery format is not listed. Your degree carries the same weight and recognition as any other UGA graduate program.
How does the program support career growth?
The program is designed for professionals who want to advance in their data-focused careers. You will have access to the UGA Career Center for online resume reviews, virtual coaching, and career fairs. Faculty and advisory board members also provide mentoring and may offer recommendation letters for students who show strong engagement and performance. You will also have opportunities to connect with alumni, participate in guest talks, and take part in data science and AI competitions across the university.
Together, these experiences give you the skills, confidence, and connections to move forward in your data science career.
How does the program connect with industry?
The program is guided by an active Industry Advisory Board made up of data science leaders from business, technology, and government. You’ll also engage with industry professionals through guest lectures, practicum projects, and data competitions like the AI and Data Challenge. These experiences help you apply what you learn to real problems and build your professional network.
Are there any unique opportunities this degree program offers connecting students with the business community?
Students in the University of Georgia’s Online Master of Science in Applied Data Science (MS-ADS) program are eligible for consideration in the State Farm MAGNet program, a respected initiative that connects data science and analytics talent with in-person and hybrid opportunities at the company’s Athens, Georgia office.
MS-ADS students who are able to work in Athens may apply their advanced data science and analytics skills to real-world business challenges through MAGNet while building professional networks that often lead to full-time employment.
This collaboration highlights the excellence of the MS-ADS program and UGA’s commitment to connecting academic learning with industry experience, preparing students to lead and innovate in applied data science.
Can I attend graduation in person?
Yes. Online students are invited to attend UGA’s on-campus commencement ceremonies. Many students choose to celebrate in person in Athens, while others attend virtually. The program team will share graduation details and dates when the time comes.
Who can I contact with questions before applying?
You may contact the program team at any time at datascience@uga.edu. We’re happy to answer questions about admissions, preparation, or academic planning and to help you decide if the program is the right fit for your goals.
Accreditations
The University of Georgia is accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC) to award baccalaureate, master’s, specialist, and doctoral degrees. The University of Georgia also may offer credentials such as certificates and diplomas at approved degree levels. Questions about the accreditation of the University of Georgia may be directed in writing to the Southern Association of Colleges and Schools Commission on Colleges at 1866 Southern Lane, Decatur, GA 30033-4097, by calling (404) 679-4500, or by using information available on SACSCOC’s website (www.sacscoc.org).
Admissions
Admissions Requirements
Undergraduate degree: A bachelor’s degree from a regionally accredited institution in the United States or a comparable degree from a foreign academic institution. While a bachelor’s degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, economics) can be a plus, applicants from other disciplines who demonstrate quantitative skills are strongly encouraged to apply to the program.
GPA Requirement: A minimum GPA of 3.0 on a 4.0 scale from undergraduate studies.
Flexibility can be provided if the applicant has strong professional experience or other compensatory qualifications.
Quantitative Coursework: Completion of at least one introductory course in probability and statistics and some working knowledge of calculus and linear algebra is preferred.
Programming skills: Basic proficiency in a programming language is preferred. This can be demonstrated through coursework, professional experience, or online courses/certifications.
Professional Experience: Since the program is designed for working professionals, relevant work experience in a related field is preferred. This shows the ability to apply theoretical knowledge in practical settings.
Online Master of Science (M.S.) in Applied Data Science Application Checklist
- Application – Submit the Graduate School Admissions online. Application fee: $75 Domestic/$75 International.
- Select Campus – Online
- Select Degree Level – Masters
- Select Intended Program – MS, Data Science (Statistics) [MS_DSCI_ONL]
- Select Intended Term – Fall
- Résumé or curriculum vita – Submit online to the Graduate School.
- Statement of Purpose – Submit a one-two page statement of purpose online to the Graduate School. The statement of intent should clarify the candidate’s relevant background, interests, and goals in relation to the program.
- Transcripts – Submit unofficial transcripts from all institutions attended as part of the online application. Send official transcripts after you are offered admission.
- Letters of Recommendation – Submit three letters of recommendation online to graduate school. Letters should be from individuals who can evaluate the applicant’s scholarly ability and potential for success in a graduate program
Application Deadlines
Domestic Applicants
- Fall – Priority Deadline: March 15 (priority consideration)
- Fall: July 1 (final deadline)
International Applicants
- Fall: March 15
English Proficiency: For non-native English speakers, proof of English proficiency (e.g., TOEFL, IELTS) may be required to ensure they can succeed in the coursework.
Test Scores (Optional)
You may choose to submit standardized test scores, most commonly GRE or GMAT. However, this is not required for admission into the program.
Cost
Tuition rates and student fees can change each year.
Based on the 2024-25 credit-hour cost, a person completing this program at the recommended pace would have paid $20,220 in tuition. Reference this sheet to identify the current credit hour rate for your program of interest.
The complete cost of attendance can be found at https://osfa.uga.edu/costs/.
Please use the Estimated Cost Calculator on the Bursar’s Office website to calculate one academic (Fall/Spring) year’s tuition.
Fees for those students enrolled in exclusively online programs are $422 per semester.
Potential additional costs include:
- Textbooks
- Exam proctoring fees
- Technology upgrades
The complete cost of attendance can be found at https://osfa.uga.edu/costs/.
Financial Aid
Visit the Office of Student Financial Aid for information about financial assistance.
Corporate Assistance
Consult your employer about the availability of tuition reimbursement or tuition assistance programs.
Military Assistance
Active-duty military, veterans, and military families should visit Veterans Educational Benefits to take full advantage of available financial assistance and educational benefits.
University System of Georgia Tuition Assistance Program (TAP)
The purpose of TAP is to foster the professional growth and development of eligible employees. For more information, see Tuition Assistance (refer to the Distance Learning section).
Curriculum
The Area of Emphasis in Applied Data Science, which will be offered online, requires completion of 30 credit hours.
Core Courses (15 hours):
STAT 6381E, Introduction to Python and Data Science (3 hours)
STAT 6382E, Statistics for Data Science with R programming (3 hours)
STAT 6383E, Advanced Python and Data Structures (3 hours)
STAT 6384E, Statistical Modeling in Data Science (3 hours)
STAT 6385E, Statistical Foundations of Clustering and Classification Methods (3 hours)
Advanced Courses (15 hours):
LING 6571E, Natural Language Processing for Data Science (3 hours)
MSIT 7510E, Database Management and SQL (3 hours) – NEW
STAT 6386E, Advanced R Programming for Data Science (3 hours)
STAT 6387E, Advanced Statistical Machine Learning in Data Science (3 hours)
STAT 6388E, Advanced Statistical Modeling for Data Science (3 hours)
Sample Program of Study
| Year | Summer | Fall | Spring |
|---|---|---|---|
| Year 1 | STAT 6381E: Introduction to Python and Data Science (3 hours) STAT 6382E: Statistics for Data Science with R programming (3 hours) | STAT 6383E: Advanced Python and Data Structures (3 hours) MIST 7510E: Database Management and SQL | |
| Year 2 | STAT 6384E: Statistical Modeling in Data Science (3 hours) STAT 6385E: Statistical Foundations of Clustering and Classification Methods (3 hours) | STAT 6386E: Advanced R Programming for Data Science (3 hours) STAT 6387E: Advanced Statistical Machine Learning in Data Science (3 hours) | STAT 6388E: Advanced Statistical Modeling for Data Science (3 hours) LING 6750E: Natural Language Processing (3 hours) |
Faculty
News & Events
New Online M.S. in Applied Data Science Launches at UGA
June 16, 2025UGA's Franklin College of Arts and Sciences is expanding its online graduate offerings with a new fully online Master of Science in Applied Data Science, launching Fall 2025. Designed for working professionals, the 30-credit program offers academic flexibility and can be completed in just two years.
Dr. Rongjie Liu Receives Franklin College’s Seed Grant
April 18, 2025Dr. Rongjie Liu, Assistant Professor in the online Master of Science (M.S.) in Applied Data Science program, and her team were recently awarded $10,000 by the Franklin College of Arts and Sciences under its Rapid Interdisciplinary Proposals (RIP) Program.
Contact Information
Contact us using the request for information form or call 706-408-9679.