Auburn University - College of Engineering
Master of Science - Data Science and Engineering - OnlineAuburn, USA
DURATION
2 up to 6 Years
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
01 Apr 2025
EARLIEST START DATE
May 2025
TUITION FEES
USD 949 / per credit
STUDY FORMAT
Distance Learning
Key Summary
Introduction
- Auburn Engineering Online Graduate Programs ranked 17th by U.S. News and World Report (2022)
- Courses delivered by streaming video
Why this degree?
The Master of Science in Data Science and Engineering program, offered online, prepares students to pursue careers in data science and engineering, where valuable insights are derived from massive amounts of raw data. Our high‐quality curriculum offers an excellent balance between theory and application, equipping students with foundational skills and state‐of‐the‐art technologies related to the next generation of big data applications.
Online students typically have up to six years to complete their coursework. This program blends graduate‐level courses in core topics like data mining, machine learning, and statistical learning. The program also offers a wide variety of electives in addition to a required capstone experience, in which students apply their knowledge and skills to a real‐world application scenario.
There are two formal options in the program: the data engineering option, administered by the Department of Computer Science and Software Engineering, and the data science option, managed by the Department of Mathematics and Statistics. Both options are now available to online students.
What can you expect?
Once admitted into Auburn Engineering's graduate online program, you will work with the graduate program officer to create a plan of study.
Ideal Students
Who is eligible?
- You hold a bachelor's degree in engineering or science from an institution of recognized standing.
- Having a baccalaureate degree in computer science, software engineering, mathematics, statistics or an equivalent discipline, or significant work experience in information technology or applied mathematics and statistics, will be beneficial.
- Having a baccalaureate degree in computer science, software engineering, mathematics, statistics or an equivalent discipline, or significant work experience in information technology or applied mathematics and statistics, will be beneficial.
- You have had at least one statistics course at the 3000-level or above.
- You have knowledge of at least one modern programming language.
- Your GRE general exam
- Data Engineering Option applicants will be evaluated by the graduate committee of the Department of Computer Science and Software Engineering; Data Science Option applicants will be assessed by the graduate committee of the Department of Mathematics and Statistics.
- Students without a B.S. degree in Computer Science or Software Engineering can be admitted into this new graduate program because the curriculum has a set of bridge courses that bring these students up to speed before they start taking more advanced courses. The bridge (i.e., prerequisite) courses of this graduate program are:
- COMP Bridge Courses
- COMP1210 Introduces Fund. of Comp.
- COMP2210 Fund. of Computing II
- COMP3270 Algorithms
- COMP1210 Introduces Fund. of Comp.
- COMP2210 Fund. of Computing II
- COMP3270 Algorithms
- STAT Bridge Courses
- STAT3600/3610 Prob and Stat I and II
- MATH1610/1620 Calculus I and II
- MATH2660 Topics in Linear Algebra
- STAT3600/3610 Prob and Stat I and II
- MATH1610/1620 Calculus I and II
- MATH2660 Topics in Linear Algebra
- COMP Bridge Courses
- COMP1210 Introduces Fund. of Comp.
- COMP2210 Fund. of Computing II
- COMP3270 Algorithms
- STAT Bridge Courses
- STAT3600/3610 Prob and Stat I and II
- MATH1610/1620 Calculus I and II
- MATH2660 Topics in Linear Algebra