Skip to main content
Skip to main menu


Data Science Major

Data Science Major

UGA’s Departments of Statistics and Computer Science in the Franklin College of Arts and Sciences have launched a new Bachelor of Science degree in Data Science. Learn about our new interdisciplinary Data Science major, which is at the interface of statistics and computer science.

Overview of the Major: The major will provide necessary background in mathematics and build a strong foundation in Data Science, covering data structures, algorithms and database management, data collection, data mining, machine learning, modeling, and inference. Students graduating with a B.S. in Data Science will know how to develop software, design and maintain databases, process data in distributed environments, analyze the data using techniques from statistics, data mining and machine learning, provide visualizations of the data or the results of analysis, and assist decision makers. The program will include experiential learning via a capstone course, which will focus on applying the acquired knowledge and skills in a real-world data analytics project.

Student Learning Outcomes: All graduates will be able to:

  • Develop software, algorithms; design and manage a variety of databases and structures, process data in distributed environments;
  • Collect and analyze the data using techniques from statistics, data mining, machine learning;
  • Provide visualizations of the data and build statistical models to facilitate inference.
  • Interpret results of statistical analysis and assist decision makers 

Career Opportunities: All graduates earning the B.S. in Data Science degree will learn the essential skills necessary to pursue careers in a variety of data-oriented companies [e.g., computing/internet companies (Google, Amazon, Facebook, IBM); engineering companies (Intel, Samsung, Boeing); finance/insurance (Goldman Sachs, AIG, Liberty Mutual); pharmaceutical companies (Johnson & Johnson)]; government/national labs (NASA, NIST, DoD) or pursue graduate studies. 

I. Becoming a Data Science Major

To be officially classified as a Data Science major and receive advising by the Department of Statistics, a student must declare the major in Athena. Students should be working through the calculus sequence (MATH 2250, MATH 2260) and introductory computer science sequence (CSCI 1301, CSCI 1302) and complete STAT 2010.

Area I Mathematics requirement will be satisfied with MATH 2250*, Calculus I

Area III Quantitative Reasoning will be satisfied with MATH 2260*, Calculus II

Area VI Requirements for Data Science:

  • CSCI 1301 – Introduction to Computing and Programming
  • CSCI 1302 – Software Development
  • CSCI 2611 – Discrete Mathematics for Engineers
  • CSCI 2150/2150L – Introduction to Computational Science
  • CSCI 272x – Data Structures for Data Science
  • STAT 2010** – Statistical Methods for Data Scientists

*Calculus I and Calculus II must be completed for the Data Science major. MATH 2270 (Calculus III) and MATH 3300 (Applied Linear Algebra) are strongly recommended.

**Students with AP or transfer credit for STAT 2000 will take STAT 2360/STAT 2360L (Computer Programming and Data Literacy in R)

The department strongly recommends all Area VI courses be completed with a grade of C (2.0) or better.

Questions concerning the data science major should be directed to Dr. Anne Marie Vencill (

II. Major Course Requirements for the Bachelor of Science Degree in Data Science

Required Courses – 46-47 hours

The Franklin College of Arts and Sciences requires all major required courses, as well as course electives, be completed with a grade of C (2.0) or higher.

Major Required Courses – 34-35 Hours

CSCI 3360

Data Science I

CSCI 4260/6260

Data Security and Privacy

CSCI 4360/6360

Data Science II

CSCI 4380/6380 or STAT 4250

Data Mining or Applied Multivariate Analysis and Statistical Learning

CSCI 4370/6370

Data Base Management

STAT 4220

Applied Experimental Designs

STAT 4230/6230

Applied Regression Analysis

STAT 4510/6510

Mathematical Statistics I

STAT 4530

Estimation Methods for Data Science

STAT (CSCI) 4990

Data Science Capstone Course

Major Electives - 12 hours

Students must have a grade of "C" (2.0) or higher for these courses, as required by The Franklin College of Arts and Sciences.

Approved Data Science Major Electives:

CSCI 3030

Computing, Ethics, and Society

CSCI 4050/6050

Software Engineering

CSCI 4150/6150

Numerical Simulations in Science and Engineering

CSCI 4210/6210

Simulation and Modeling

CSCI 4470/6470


CSCI 4850/6850

Biomedical Image Analysis

CSCI 5007/7007

Internship in Computer Science Business/Industry

FINA 3001

Financial Management

MARK 3001

Principles of Marketing

MARK 4350

Marketing Analytics

MARK 4650

Digital Marketing Analytics

MATH (CSCI) 4690

Graph Theory

MGMT 3001

Principles of Management

MIST 5730

Advanced Data Management and Analytics

RMIN 4000

Risk Management and Insurance

STAT 4240/6240

Sampling and Survey Methods

STAT 4260/6260

Statistical Quality Assurance

STAT 4280/6280

Applied Time Series Analysis

STAT 4290/6290

Nonparametric Methods

STAT 4355/6355

Advanced Statistical Programming

STAT 4365/6365

Modern Statistical Programming

STAT 4620/6620

Applied Categorical Data Analysis

STAT 4710/6710

Introduction to Probability Theory I

STAT 4720/6720

Introduction to Probability Theory II

STAT 5700/7700

Internship in Statistics


For information about the data science major contact:

Dr. Anne Marie Vencill ( or Dr. Abhyuday Mandal (

Support us

We appreciate your financial support. Your gift is important to us and helps support critical opportunities for students and faculty alike, including lectures, travel support, and any number of educational events that augment the classroom experience. Click here to learn more about giving.

Every dollar given has a direct impact upon our students and faculty.