DATSC-BA - Data Science (BA)
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Program Overview
Mission of the Undergraduate Program in Data Science
The undergraduate program in Data Science aims to provide students with an analytical and quantitative foundation for tackling data-driven problems in science, industry, and society. Data science is an interdisciplinary field combining computational and inferential reasoning to extract knowledge or insights from data for use in various applications. It synthesizes the most relevant parts of foundational disciplines to solve particular problems or applications. As more data and new ways of analyzing data become available, our economy, society, and daily life will become even more dependent on our ability to learn from data systematically.
Students pursuing a BA in Data Science and Social Systems will develop a rigorous understanding of methods and approaches from computer science, statistics, and the social sciences. They will learn to apply technical tools to address substantive problems in that domain. They will develop multiple fluencies in computational methods, broad domain knowledge and applications of social science, and the moral and political frameworks shaping social systems. The BA in Data Science and Social Systems is an ideal major to prepare students for work in the technology sector and a range of industries that require integrating quantitative thinking with an understanding of human behavior or public policy or for careers in the public and social sectors where data-intensive approaches are prized.
Students pursuing a BA in Data Science for Artistic and Cultural Analysis will learn to integrate a comprehensive knowledge of Data Science methods and theories alongside core critical thinking and creative skills from humanistic study and artistic practice. They will learn how to apply quantitative and statistical methods to the study of cultural and aesthetic objects; discover how data can change our understanding of history; practice the integration of computation into the creative process; and think critically and philosophically about the role of data in society, culture, and the arts. Students will gain fluency in a broad range of computational and statistical methods and will learn how to apply these skills to a variety of disciplinary domains including philosophy, history, literature, art, and cultural studies. The BA in Data Science for Artistic and Cultural Analysis will prepare students to work in industries and sectors where a deep knowledge of data science, creative thinking, and critical problem-solving skills are prized.
Preparing for the Major
Before declaring the major, students must meet with a peer advisor, complete the program sheet, and meet with the Student Services Team. See the How to Declare on our website for more information.
Minimum Units in the Program
Minimum University Units
- 1172571
- 1172581
- 2155763
- 1172891
- 1056441
- 1056451
- 2085111
- 2127631
- 1056871
- 1057301
- 2160861
- 1254201
- 2150031
- 2085281
- 1045201
- 1253981
- 2254081
- 2160851
- 2162041
- 2012081
- 1254161
This requirement is waived for students in the Artistic and Cultural Analysis subplan.
- 2263802
- 1406151
- 1017592
- 2173281
- 2049162
- 1042771
- 2253771
Students in the Artistic and Cultural Analysis subplan are required to take Introduction to Moral Philosophy (course) plus an additional class from the list below, for a total of two ethics classes.
Students in the Social Systems subplan are required to take only one ethics course, which can be any class from the list below.
- 2181541
- 2260352
- 2250151
- 1055861
- 2213951
- 2113832
- 2197651
- 1222691
At least three quarters before graduation, majors must meet with the Student Services Officer to create a plan for completing degree requirements.
All courses used to fulfill major requirements must be taken for a letter grade, except courses offered satisfactory/no credit only.
Students may be granted a one-time exception to take a core course for credit (CR).
Students must fulfill the WIM requirement that aligns with their subplan.
Most students pursuing the Data Science & Social Systems B.A. will complete the Data Science Practicum (DATASCI 192A/B), which double-counts to satisfy both the capstone and WIM requirements.
In special instances, students can apply to fulfill the capstone requirement through conducting an independent data science research project under the supervision of a professor, in which case they must take DATASCI 120 to satisfy the WIM requirement.
- 2237382
- 2253591
AND 2253501
All students pursuing the Artistic and Cultural Analysis subplan must complete the following as their WIM.
- 2237382
Students must fulfill the capstone requirement that aligns with their subplan.
Most students pursuing the Data Science & Social Systems B.A. will complete the Data Science Practicum (DATASCI 192A/B) for their capstone, which double-counts to satisfy both the capstone and WIM requirements.
- 2253591
- 2253501
In special instances, students can apply to fulfill the capstone requirement through conducting an independent data science research project under the supervision of a professor. The research project must be pre-approved by the program, substantially use techniques from upper-division Data Science coursework, connect to a social issue (typically related to the student’s pathway), and be completed during senior year. In the end, the student will create a final report and poster to showcase their work. See website for more details.
Students who use an independent research project to fulfill the capstone requirement will need to take DATASCI 120 (Data Narratives) to fulfill the WIM requirement. DATASCI 120 complements independent research, and it can be taken before or concurrently with working on the project.
- 2237382
All students pursuing the Artistic and Cultural Analysis subplan must complete the following as their capstone.
- O60UPq5klpdL0Dfu2zFR
The Social Systems subplan includes two gateway courses, a behavioral science core, and a pathway.
- 2244902
- 2243447
Complete four courses that cover at least two of the following four areas.
- 1237681
- 1408383
- 1237981
- 1237991
- 1243891
- 2216771
- 1244741
- 1245381
- 2171981
- 1228491
- 1170141
- 2049951
- 1132501
- 1132521
- 1132571
The pathway is an opportunity for students to develop specific expertise on a topic they are passionate about and where data science methods and approaches have something compelling to offer. Students must complete four courses and at least sixteen units in their pathway. Students may develop their pathway or select one of the following twelve predefined pathways.
- 2160832
- 2144884
- 2160821
- 2144882
- 2218293
- 2159991
- 2200473
- 2110511
- 1244841
- 1245091
- 2216381
- 2225461
- 1133551
- 2049951
- 2076371
- 2262052
- 2230911
- 2149491
- 2197651
- 2213953
- 2264631
- 2151001
These courses cannot double count with the ethics requirement.
- 1128771
- 2110311
- 2072503
- 2070021
- 2071201
- 2071041
- 2184221
- 2216301
- 2251671
- 2210121
- 2210131
- 2202891
- 2115901
- 2170121
- 1130091
- 2188765
- 2075131
- 2142482
- 1245091
- 1309261
- 2200473
- 2203221
- 2271901
- 2014462
- 2207392
- 2252561
- 2195971
- 2264072
- 2172261
- 1155043
- 2183121
- 2172302
- 2104052
- 2113422
- 2250312
- 2049951
- 2252601
- 2136501
- 2243771
- 1133011
- 2147461
- 1134121
- 2238781
- 2078231
- 1228491
- 2157241
- 2059091
- 2195511
- 2141661
- 2067641
- 2117255
AND 2038935 - 2126661
- 2194071
- 1229531
- 2085111
- 1209041
- 2036822
- 2054181
- 2262963
- 2226372
- 2011661
- 2183662
- 1207101
- 1207061
- 1237991
- 1239011
- 2156881
- 2023101
- 2172401
- 2197201
- 2181541
- 2041791
- 2213771
- 1237941
- 1238011
- 2260941
- 2072331
- 2138421
- 2203721
- 2156871
- 2156561
- 2253951
- 2244551
- 2226491
- 1237921
- 1408383
- 2045911
- 2261362
- 2208391
- 2059152
- 2102451
- 2133671
- 2122151
- 2272871
- 1133572
- 2221781
- 2210911
- 2076361
- 2276521
- 2177161
- 2083871
- 2210911
- 2070712
- 2067641
- 2234611
- 2045511
- 2266381
- 2159161
- 2139221
- 2265491
- 2233171
- 2025182
- 2213791
- 2011901
- 2232651
- 1245094
- 2168231
- 2234901
- 2227631
- 2203221
- 2271901
- 2079461
- 2014466
- 1020933
- 1133391
- 1133411
- 2183142
- 2143231
- 1018075
- 2269302
- 2236153
- 2154903
- 2220621
- 2215973
- 2191771
- 2237628
- 2225831
- 2183944
- 2131015
- 1132461
- 2195971
- 2162051
- 2192981
- 2144884
- 2232411
- 2238701
- 2264631
- 2056242
- 2172401
- 2181541
- 2213952
- 2216301
- 2197651
- 2186001
- 2041841
- 1045311
- 2185881
- 2219351
- 2146301
- 2020331
- 2210131
- 2260352
- 2250151
- 1056761
- 2255161
- 2085092
- 2025561
- 2183142
- 1244781
- 1015721
- 1015863
- 2230602
- 2079941
- 2049141
- 1016471
- 2103071
- 1015033
- 1244784
- 2081412
- 2183142
- 2234491
- 2269302
- 2014466
- 1020933
- 1018075
- 2252402
- 2261362
- 2201771
- 2094801
- 2269302
- 1290821
- 1118902
- 2104052
- 2267251
- 2250312
- 1296681
- 2173361
Complete three courses that cover three of the following five categories
- 1290851
- 1296681
- 2032681
- 2069201
- 2117255
- 2238822
- 2267251
- 2104483
- 2215852
- 2229302
- 2243111
- 2231197
- 2011621
- 2001623
- 1295371
- 1132844
- 1295042
- 2141661
- 2079175
- 2234434
- 2250312
- 2240381
- 2165751
- 2212561
- 2038935
- 2244741
- 1170482
- 2113421
- 1170141
- 2021761
- 2156101
- 2217271
- 2049951
- 2252601
- 2238781
- 2136501
- 2243771
- 2270141
- 2170121
- 1129651
- 2131011
- 2126633
- 1233912
- 2049951
- 2193041
- 1229531
- 2230892
- 2158811
Students in Data Science for Artistic and Cultural Analysis will complete the following two introductory courses.
- 2244902
- unsj8ilN23RMo0791b94
Upon declaring, students in this subplan will select one of the following four pathways as their primary concentration:
Analysis (applying methods of data science to the study of cultural or artistic objects);
Archive (understanding new data driven methods for storing and accessing the cultural record);
Creation (making and designing artistic objects or visualizations using data);
Critique (applying humanistic methods to critique computational or quantitative objects or processes).
Students must complete a total of at least 4 foundation classes for a total of 15-20 units. This must include 2 classes from their chosen pathway and 2 classes that cover 2 of the remaining 3 pathways.
Students must complete a total of at least 4 foundation classes for a total of 15-20 units. This must include 2 classes from their chosen pathway and 2 classes that cover 2 of the remaining 3 pathways.
- 1096931
- 1128831
- 1137611
- 1138511
- 2108171
- 2077371
- 2077381
- 2215742
- 2170441
- 2141981
Students must complete a total of at least 4 foundation classes for a total of 15-20 units. This must include 2 classes from their chosen pathway and 2 classes that cover 2 of the remaining 3 pathways.
- 2247852
- 2165528
- 2267191
- 2255791
- 2215001
- 2086581
- 2265851
- 2202191
- 2202211
- 2242321
- 2202531
- 2265961
- 2208941
- 2256331
- 2224661
- 2244291
- 2226691
- 1221271
Note that any of the Doing History (HISTORY 200) seminars count towards this requirement.
Students must complete a total of at least 4 foundation classes for a total of 15-20 units. This must include 2 classes from their chosen pathway and 2 classes that cover 2 of the remaining 3 pathways.
- 2232931
- 2232941
- 2255161
- 1137531
- 2048191
- 1216891
- 2194501
- 1249231
- 1249691
Students must complete a total of at least 4 foundation classes for a total of 15-20 units. This must include 2 classes from their chosen pathway and 2 classes that cover 2 of the remaining 3 pathways.
- 2269501
- 1101201
- 2236901
- 1123511
- 1128861
- 1149592
- 2011031
- 2101161
- 2206871
- 2261701
Students will work with their advisor and the program administration to select 12-16 units of advanced coursework within their chosen pathway:
Analysis (applying methods of data science to the study of cultural or artistic objects);
Archive (understanding new data driven methods for storing and accessing the cultural record).
Creation (making and designing artistic objects or visualizations using data);
Critique (applying humanistic methods to critique computational or quantitative objects or processes);
Given the interdisciplinary nature of the program, students may petition to include additional courses not in the lists below towards their advanced class requirements.
- 2174091
- 2251822
- 2263402
- 2239401
- 2143841
- 2257971
- 2085112
- 2208181
- 2202171
- 2211585
- 2247741
- 2206545
- 2263771
- 2085612
- 2249241
- 2243171
- 1105561
- 2250612
- 2238151
- 2187661
- 1219101
- 2205532
- 2023103
- 2266831
- 2269711
- 2260511
- 2181544
- 2223861
- 2271941
- 2269921