Data Science B S D S
Download as PDF
To ensure an understanding of key concepts, PHYS1301W or PHYS1401V are preferred.
- 0020701
- 0020731
- 8179641
To ensure an understanding of key concepts, PHYS1302W or PHYS1402V are preferred.
- 0020711
- 0020741
- 8179651
To ensure an understanding of key concepts, CHEM1071 or CHEM1071H are preferred.
- nVzH5vryuHXiotc1enDx
OR 8077581
OR 8077531
OR 8152521 - 8077521
To ensure an understanding of key concepts, CHEM1072 or CHEM1072H are preferred.
- jZfjCssdnISZ6GeLW2wZ
OR 8077551
OR 8077561 - 8077541
To ensure an understanding of key concepts, CHEM1072 or CHEM1072H are preferred.
- 8152841
- 8152831
- 0039521
- 0062711
- 0062641
- 8191471
In order to maximize course overlap, it is recommended that double majors in Computer Science and Data Science pursue the following sequences in place of the Data Science Sequence. CSCI 3041 cannot be used in the Computer Science programs. This pathway is not recommended for students not pursuing a double major in Computer Science and Data Science.
- 0036721
OR 8094491 - 0036751
OR 8265881
- 8191481
In order to maximize course overlap, it is recommended that double majors in Computer Science and Data Science pursue the following sequences in place of the Data Science Sequence. CSCI 3061 cannot be used in the Computer Science programs. Data Science students will not be given access to CSCI 4061 unless they are double majors in computer science.
- 0036731
OR 0033711 - 0021871
- 8263851
- 0135611
- 8197051
- 7906561
OR 0021921
- 8271601
- 0140901
- 7973471
- 8266661
- 8153361
- 0036951
OR 0002821
OR 0036981 - 7991841
AND 0148631
CSCI 2033 is the recommended course option Data Science majors with no other connected major or minor requiring an alternative linear algebra course.
- 8051471
- 7926551
- 7921271
AND 7926571
This option may be recommended for some students pursuing double majors or minors if CSCI 2033 cannot be used in the other programs. Students who complete MATH 2243/2373/2471/2574H AND MATH 4242 qualify for a four-credit waiver in the Data Science Technical Electives area. Students will need to contact a Departmental Advisor (dsciug@umn.edu) to request this waiver after MATH 4242 is completed.
- 0002801
OR 0036941
OR 8064971
OR 0043111 - 0107951
STAT 3301 is the recommended course option. The combination of STAT 3701 and STAT 3032 may only make sense for Data Science and Statistics double majors.
- 8190581
- 8153341
AND 8145241
- 0064081
OR 0043081
- 0064091
- 8153351
- 8194571
- 8194611
- 0026681
OR 8158401
Students are required to take one upper division writing intensive course within the major. If that requirement has not been satisfied within the core major requirements, students must choose one course from the following list. Some of these courses may also fulfill other major requirements.
- 0026681
OR 8158401 - 7930761
OR 8266341 - 8188141
- 8039561
OR 8266031 - 0091941
- 0134711
Students can take any approved technical electives from the following list to satisfy the minimum 18 credits required. Unique courses from CSCI, EE, IE, Math, or STAT with titles similar to independent study, directed research, special topics, honors thesis, or senior design can be approved for use as major technical electives if related to the study of data science with Director of Undergraduate Studies approval. Contact dsciug@umn.edu to petition a course to count for technical electives.
- hTjWaZ0F11odhnUVpDHW
- 8277931
- 7906541
- 8188141
- 8277751
OR 7906571 - 8039561
OR 0021521
OR 8266031 - 8271601
- 8277711
- 8277981
- 7975481
- 0021901
- 8071601
- 8173411
- 7997201
- ze7yVqSjtwiq40HVZ9zq
- 7973461
- 0021631
- 0021641
- 0021471
- 8028101
- 0167651
- 0140901
- 7973471
- 7987801
- 8278531
- 8258221
- 7973481
- 0045191
- 8197251
- 7930771
- 8279971
- 0021931
- 8103501
- 0043121
- 0021861
- 8195731
- 0033021
- 7980021
- 8038681
- 8112421
- 8168561
- 7919831
- 7907761
- 0085311
- 8081011
- 8081021
- 7984611
- 7984631
- 8262131
- 0055331
- 0055351
- 7912981
- 0076861
- 8175521
- 0107951
- 0042951
- 8114671
- 0043091
- 8181821
- 8153361
- 0134711
- 0036641
- 0043671
- 8034561
- 0047121
- 0134661
- 0036921
OR 0001201
OR 0036961
OR 0148561
- 0036931
OR 0001211
OR 0036971
OR 0148611
MATH1471 and Math1472 are 2 credit courses. Students who completed one or both of these courses will need to work with a CSE advisor to discuss any credit discrepancies.
- 8096661
OR 8110721 - 8190811
In order to maximize course overlap, it is recommended that double majors in Computer Science and Data Science pursue this sequence in place of the Data Science Sequence. CSCI 2081 cannot be used in the Computer Science programs. Data Science students will not be given access to CSCI 3081W unless they are double majors in computer science.
- 8096661
OR 8110721 - 8103461
OR 8166631 - 7930761
OR 8266341
Computer Science and Data Science double majors can also use this combination to meet the requirement. CSCI 2081 cannot be used in the Computer Science programs. Data Science students will not be given access to CSCI 3081W unless they are double majors in computer science.
- 0036671
OR 0036691 - 8096671
- 7930761
OR 8266341
Computer Science and Data Science double majors can also use this combination to meet the requirement. This is the least efficient pathway to completing the requirement, so it is not recommended. CSCI 2081 cannot be used in the Computer Science programs. Data Science students will not be given access to CSCI 3081W unless they are double majors in computer science.
- 0036671
OR 0036691 - 8103461
OR 8166631 - 8257521
- 7930761
OR 8266341
This is not a recommended pathway through the introductory course sequence. This sequence will ensure students have exposure to Python programming through CSCI 1923 if they do not take CSCI 1133 for their first computer science course.
- 0036691
AND 8190811
AND 8257521
Stat 3021/3021H is the preferred course option.
- 0016221
- 0016181
AND 8145241 - 0016181
AND 0016211