Data Science Four-Year Plan

Revised 05/2022

Bold: only offered in indicated semester
Italic: course prerequisites and corequisites (designated by &)
UD: must be admitted to the major prior to enrollment
◊: courses required for admission to this major
+: DSci technical elective options are listed on the APAS report and on the departmental website. A minimum of 18 credits is needed to complete the requirements.
±: additional science requirement may be fulfilled with Chem 1061/65, Phys 1302W, ESci 2201 (fall only, prereq Phys 1301W), Psy 3011 (fall only, prereq Psy 1001), or GCD 3022 (prereq intro biology).

Freshman Year

Fall Semester

  • Math 1371 Calculus I (placement or prereq) [4cr]
  • Additional Science Requirement± (course specific) or Phys 1301W (&Math 1371) [4cr]
  • Liberal Education course [3 or 4cr]
  • Liberal Education course or Writ 1301 [3 or 4cr]
  • CSE 1001 First Year Experience [1cr]

Spring Semester

  • ◊ Math 1372 Calculus II (1371) [4cr]
  • Phys 1301W (&Math 1371) [4cr] or Additional Science Requirement± (course specific)
  • ◊ CSci 1133 Intro to Computing & Programming Concepts (&Math 1371) [4cr]
  • Liberal Education course or Writ 1301 [3 or 4cr]

Sophomore Year

Fall Semester

  • Math 2374 Multivariable Calculus (1372) [4cr]
  • ◊ Stat 3021 Intro to Probability & Statistics (Math 1372) [3cr]
  • ◊ CSci 2081 Intro to Software Development & Data Structures (1133) [4cr]
  • Liberal Education course [3 or 4cr]

Spring Semester

  • CSci 2033 Computational Linear Algebra (1113 or 1133, Math 1371) [4cr]
  • CSci 3041 Intro to Discrete  Structures & Algorithms (2081) [4cr]
  • CSci 3061 Intro to Systems & Systems Programming (2081) [4cr]
  • Stat 3301 Regression and Statistical Computing (3021, CSci 1113 or 1133, &CSci 2033) [4cr]

Junior Year

Fall Semester

  • IE 3013 Optimization for Machine Learning (CSci 2033, Math 2374) [4cr]
  • CSci 4707 Practice of Database Systems (3041 or 4041) [3cr]
  • Writ 3562W Technical & Professional Writing [4cr]
  • Technical Elective+ [3 or 4cr]

Spring Semester

  • Machine Learning/Data Mining/Statistical Learning
    • CHOOSE ONE:
      • CSci 5521 (2033, Stat 3021) [3cr]
      • CSci 5523 (4041) [3cr]
      • Stat 4052 (4051, 4102 or 5102) [4cr]
  • Theory of Statistics I
    • CHOOSE ONE:
      • Stat 5101 (Math 2374, CSci 2033) [4cr]
      • Math 5651 (2374, 2373, 3283W recommended) [4cr]
  • Technical Elective+ [3 or 4cr]
  • Liberal Education course [3 or 4cr]

Senior Year

Fall Semester

  • Stat 5102 Theory of Statistics II (5101 or Math 5651) [4cr]
  • IE 5533 Operations Research for Data Science (CSci 2033, Stat 3021) [3cr]
  • Stat 4051 Applied Statistics I (3301, 5101 or Math 5651) [4cr]
  • Technical Elective+ [3 or 4cr]
  • Liberal Education course [3 or 4cr]

Spring Semester

  • DSci 4093 Senior Project (UD, CSci 4707, IE 3013, Stat 4051) [4cr]
  • Technical Elective+ [3 or 4cr]
  • Technical Elective+ [3 or 4cr]
  • Technical Elective [3 or 4cr]

Total Credits Needed for Degree: 120

Additional Information

The APAS is the official method for tracking completion of your specific degree requirements. This plan is not a contract and curriculum can change.

Applying to a major: z.umn.edu/csemajorapp

Courses required for admission to this major: Math 1372, CSci 1133, CSci 2081, Stat 3021

All prerequisite courses must be completed with a grade of C- or higher.

Department Contact Information

Website: cse.umn.edu/datascience
Main Phone: 612-625-4002 | Main Office: Keller Hall 4-192

Director of Undergraduate Studies: Jaideep Srivastava; dscidugs@umn.edu
Departmental Advisors: Jacquelyn Burt, Dametrius Coleman, Josie Kahlenbeck, & Kelly Thomas
Department Contact: dsciug@umn.edu
Departmental Advising:
z.umn.edu/dsciadvisor
Appointments: csci.appointments.umn.edu

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University Degree Requirements

All students must complete the following requirements. Requirements with an (*) will be fulfilled by taking courses at UM-TC required for this major.

Writing Requirements

University Writing:

  • Writ 1301/1401 or equivalent

Writing Intensive (WI):

  • One: Any level*
  • One: Any level
  • One: 3/4/5xxx level (in major)*
  • One: 3/4/5xxx level (any dept.)*

Liberal Education

Cores:

  • Biological Sciences w/Lab
  • Physical Sciences w/Lab*
  • Historical Perspectives
  • Social Sciences
  • Arts/Humanities
  • Literature
  • Mathematical Thinking*

Themes (choose 4 of 5):

  • Race, Power, and Justice in the US (required)
  • Civic Life and Ethics
  • The Environment
  • Global Perspectives
  • Technology and Society