Data Science B.S.

All students must meet the University Requirements.

The study and applications of Data Science impacts our lives in myriad ways every moment of every day. Often times we are unaware of the role this important field plays in our daily routines. We have data scientists to thank as we read the latest news on our social media feed of choice, or watch a movie suggested by our go-to streaming app. Even the food we eat has likely been guided by the study of big data. Researchers are working hand-in-hand with farms of all sizes to help analyze data which in turn can identify and reduce areas of inefficiency and waste, and bring food to your table in a faster, safer, and more cost-effective way.

The curriculum of the Bachelor of Science with a major in Data Science combines courses from the disciplines of Statistics, Mathematics, and Computer Science to prepare students for careers in Big Data Science & Analytics: rapidly growing fields with huge unmet demand. The unique interdisciplinary educational experience allows students the opportunity to acquire the broad base of knowledge and skills that employers are seeking.

Academic Standards

In order to continue as a major in Data Science in CEMS, a student must achieve a 2.00 cumulative grade-point average at the end of the semester in which 60 cumulative credits have been attempted. No more than three repeated course enrollments are allowed during this 60-credit period. In the case of transfer students, applicable transfer credits will be included in determining the 60 credits, but grades in these courses will not be included in the grade-point average.

Students who receive a cumulative or semester grade-point average of less than 2.00 will be placed on trial. Students who have failed half their course credits for any semester, or who have had two successive semester averages below 2.00, or three successive semesters in which their cumulative grade-point average falls below 2.00, are eligible for dismissal.

To receive a degree, students must have a minimum cumulative average of 2.00. Students must complete 30 of the last 45 hours of credit in residence at UVM as matriculated students in the College of Engineering and Mathematical Sciences.

The Curriculum for the B.S. in Data Science

CS 064Discrete Structures3
or MATH 052 Fundamentals of Mathematics
STAT 151Applied Probability3
or STAT 251 Probability Theory
or CS 128 Probability Models & Inference
CS Core 22
CS 008Intro to Web Site Development3
CS 021Computer Programming I3
CS 110Intermediate Programming4
CS 124Data Structures & Algorithms3
CS 204Database Systems3
100-Level (or above) CS Elective 13
200-Level (or above) CS Elective 13
STAT Core 21
STAT 087Introduction to Data Science3
STAT 141Basic Statistical Methods3
or STAT 143 Statistics for Engineering
or STAT 211 Statistical Methods I
STAT 221Statistical Methods II3
STAT 201Stat Computing & Data Analysis3
STAT 223Applied Multivariate Analysis3
STAT 229Survival/Logistic Regression3
STAT 287Data Science I3
MATH Core 20
MATH 021Calculus I4
MATH 022Calculus II4
MATH 122Applied Linear Algebra3
or MATH 124 Linear Algebra
Choose 3 MATH Electives at the 100-Level or above 19
Choose 12 Credits in Data Science (DS) electives selected from the list of approved courses (see below) in MATH/STAT/CS/CSYS/NR, with at least 9 of these credits at the 200-level (or above): 212
Advanced Programming
Database Design for the Web
Software Engineering
Algorithm Design & Analysis
Human-Computer Interaction
Programming for Bioinformatics
Artificial Intelligence
Machine Learning
Neural Computation
Modeling Complex Systems 3
Data Mining 3
Evolutionary Computation 3
Calculus III
Basic Combinatorial Theory
Mathematical Models & Analysis
Intro to Numerical Analysis
Chaos,Fractals&Dynamical Syst
Mathematical Biology&Ecology
Principles of Complex Systems 3
Complex Networks 3
Statistics for Business
Stats for Quality&Productivity
Applied Regression Analysis
Experimental Design
Survey Sampling
Categorical Data Analysis
Statistical Inference
Bayesian Statistics 3
Data Science II 3
Intro to Geog Info Systems
Appld Artificial Neural Ntwrks 3
Applied Geostatistics 3
Choose one 2-course Natural Science (w/ lab) sequence:8
Principles of Biology
and Principles of Biology
General Chemistry 1
and General Chemistry 2
Fundamentals of Physics I
and Fundamentals of Physics II
University Requirements 412
Foundational Writing & Information Literacy3
Diversity Category 13
Diversity Category 1 or 23
Sustainability3
Free electives 519
1

Students should select appropriate courses from list of approved Data Science (DS) electives. Alternative courses may be approved by the DS Curriculum Committee.

2

Additional courses, including special topics courses, may be granted approval if appropriate (consult advisor).

3

Undergraduate students require instructor permission to enroll in 300-level courses.

4

 See University Requirements section of this catalogue for additional information.

5

Students are encouraged to use free elective credits to complete a minor in an area of application (e.g., biology, social sciences).

Complex Systems and Data Science AMP

Complex Systems and Data Science M.S.

See the online Graduate Catalogue for more information