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DS

University of Virginia-Main Campus
15,653 grades72 courses108 professors31 terms

Department inferred from the subject code on each course. University of Virginia-Main Campus does not publish a department field with its grade records.

3.87
average GPA across 15,653 grades
+10% vs. University of Virginia-Main Campus overall (3.52)
99%
A or B
of 15,653 grades
—
D, F or withdrew
A92.0%
Every term against the 3.87 department average 31 terms
Fall 2014Spring 2026
Most taken
DS 2002
Data Science Systems
3.90
1,103 grades
+1% vs. dept
DS 6002
Ethics of Big Data I
3.90
1,085 grades
+1% vs. dept
DS 3001
Practice of Data Science
3.91
1,077 grades
+1% vs. dept
DS 1001
Foundation of Data Science
3.88
970 grades
+0% vs. dept
DS 6001
Practice and App of Data Sci
3.87
887 grades
+0% vs. dept
DS 1002
Programming for Data Science
3.88
881 grades
+0% vs. dept
DS 2003
Communicating with Data
3.85
796 grades
−0% vs. dept
DS 6050
Deep Learning
3.89
710 grades
+1% vs. dept
Courses with a grade record · 72
1000 level22000 level93000 level94000 level85000 level126000 level267000 level58000 level1
CourseDistributionGPAvs. deptGrades
1000 level2 courses
DS 1001 · Foundation of Data Science
3.88 +0% vs. dept 970
DS 1002 · Programming for Data Science
3.88 +0% vs. dept 881
2000 level9 courses
DS 2001 · Programming for Data Science
3.83 −1% vs. dept 68
DS 2002 · Data Science Systems
3.90 +1% vs. dept 1,103
DS 2003 · Communicating with Data
3.85 −0% vs. dept 796
DS 2004 · Data Ethics
3.84 −1% vs. dept 554
DS 2006 · Computational Probability
3.46 −11% vs. dept 61
DS 2022 · Systems I: Intro to Computing
3.92 +1% vs. dept 198
DS 2023 · Design I: Communicating w Data
3.87 +0% vs. dept 197
DS 2024 · Value I: Ethics & Policy in DS
3.97 +3% vs. dept 183
DS 2026 · Computational Probability
3.57 −8% vs. dept 198
3000 level9 courses
DS 3001 · Practice of Data Science
3.91 +1% vs. dept 1,077
DS 3002 · Data Science Systems
3.92 +1% vs. dept 98
DS 3003 · Communicating with Data
3.90 +1% vs. dept 94
DS 3005 · Mathematics for Data Science
3.48 −10% vs. dept 21
DS 3006 · Inference and Prediction
3.96 +2% vs. dept 39
DS 3021 · Analytics I:Machine Learning I
3.87 +0% vs. dept 98
DS 3022 · Data Engineering
3.87 +0% vs. dept 62
DS 3025 · Mathematics for Data Science
3.87 +0% vs. dept 192
DS 3026 · Inference and Prediction
3.76 −3% vs. dept 70
4000 level8 courses
DS 4001 · Practice of Data Science
3.85 −1% vs. dept 145
DS 4002 · Data Science Project Course
3.91 +1% vs. dept 506
DS 4003 · Data Design II:Interactive App
3.94 +2% vs. dept 50
DS 4021 · Analytics II: ML
3.91 +1% vs. dept 32
DS 4023 · Data Design II:Interactive App
3.96 +2% vs. dept 16
DS 4024 · Value II: Explainable AI
3.91 +1% vs. dept 70
DS 4125 · Intro to Deep Learning
3.88 +0% vs. dept 17
DS 4559 · New Course: Data Science
3.70 −4% vs. dept 57
5000 level12 courses
DS 5001 · Exploratory Text Analytics
3.79 −2% vs. dept 361
DS 5002 · How to Train your LLM
3.89 +1% vs. dept 45
DS 5003 · Healthcare Data Science
3.83 −1% vs. dept 65
DS 5004 · Applied Reinforcement Learning
3.71 −4% vs. dept 13
DS 5007 · Don't Invent The Torment Nexus
3.87 +0% vs. dept 11
DS 5012 · Computation for Data Science
3.86 −0% vs. dept 256
DS 5030 · Understanding Uncertainty
3.82 −1% vs. dept 101
DS 5100 · Programming for Data Science
3.66 −5% vs. dept 333
DS 5110 · Big Data Systems
3.88 +0% vs. dept 367
DS 5111 · Data Engineering
3.95 +2% vs. dept 68
DS 5400 · Business Analytics for DS
3.79 −2% vs. dept 33
DS 5559 · New Course: Data Science
3.83 −1% vs. dept 229
6000 level26 courses
DS 6001 · Practice and App of Data Sci
3.87 +0% vs. dept 887
DS 6002 · Ethics of Big Data I
3.90 +1% vs. dept 1,085
DS 6003 · Data Science Capstone
3.88 +0% vs. dept 399
DS 6011 · DS Capstone Work I
3.97 +3% vs. dept 248
DS 6012 · Ethics of Big Data II
3.95 +2% vs. dept 116
DS 6013 · DS Capstone Work II
3.96 +2% vs. dept 391
DS 6014 · Bayesian Machine Learning
3.84 −1% vs. dept 143
DS 6015 · DS Capstone
3.72 −4% vs. dept 48
DS 6021 · ML I: Intr Predictive Modeling
3.85 −0% vs. dept 137
DS 6030 · Statistical Learning
3.91 +1% vs. dept 591
DS 6040 · Bayesian Machine Learning
3.78 −2% vs. dept 576
DS 6050 · Deep Learning
3.89 +1% vs. dept 710
DS 6051 · Decoding Large Language Models
4.00 +3% vs. dept 53
DS 6200 · Computation I: Fundamentals
4.00 +3% vs. dept 6
DS 6210 · Comp II: Num Analy & Optim
3.63 −6% vs. dept 23
DS 6300 · Theory I: Prob & Stoch Process
3.33 −14% vs. dept 10
DS 6310 · Thry II: Inference & Predict
3.61 −7% vs. dept 11
DS 6400 · Machine Learning I
3.38 −13% vs. dept 15
DS 6404 · Physics-Aware Deep Learning
3.87 +0% vs. dept 7
DS 6410 · ML II: Methods & App
3.72 −4% vs. dept 13
DS 6501 · Special Topics in Data Science
4.00 +3% vs. dept 24
DS 6559 · New Course: DS
3.75 −3% vs. dept 129
DS 6600 · Data Eng I: Data Mgmt & Vis
3.99 +3% vs. dept 30
DS 6700 · Val I: Data Ethics, Pol & Gov
3.79 −2% vs. dept 55
DS 6993 · Independent Study
4.00 +3% vs. dept 6
DS 6999 · Independent Study
3.95 +2% vs. dept 34
7000 level5 courses
DS 7200 · Distributed Computing
3.71 −4% vs. dept 41
DS 7400 · ML III: Deep Learning
3.92 +1% vs. dept 42
DS 7540 · Machine Learning IV
3.68 −5% vs. dept 8
DS 7600 · Human-Centered Design
3.64 −6% vs. dept 22
DS 7700 · Value II: Data and Society
3.57 −8% vs. dept 45
8000 level1 course
DS 8104 · Network Science
3.85 −0% vs. dept 13
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