Campuses:
Twin Cities campus
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Twin Cities Campus
Computer Science B.S. Comp.Sc.Computer Science and Engineering Administration
College of Science and Engineering
Computer science is concerned with the study of hardware, software, and theoretical aspects of high-speed computing devices and with the application of these devices to scientific, technological, and business problems.
A bachelor's degree gives students a basic understanding of computer science. After completing a required set of fundamental courses, students arrange their subsequent work around one of several upper division tracks within either computer science or an interdisciplinary area involving computer applications. The degree prepares students for graduate work or for various industrial, governmental, and business positions involving the use of computers.
Program Delivery
This program is available:
Admission Requirements
Students must complete
5 courses
before admission to the program.
Freshman and transfer students are usually admitted to pre-major status
before admission to this major.
For information about University of Minnesota admission requirements, visit the
Office of Admissions
website.
Required prerequisites
Mathematics Core
MATH 1371 - CSE Calculus I
[MATH]
(4.0 cr)
or
MATH 1271 - Calculus I
[MATH]
(4.0 cr)
or
MATH 1571H - Honors Calculus I
[MATH]
(4.0 cr)
MATH 1372 - CSE Calculus II
(4.0 cr)
or
MATH 1272 - Calculus II
(4.0 cr)
or
MATH 1572H - Honors Calculus II
(4.0 cr)
Required prerequisites
Computer Science Introductory Core
CSCI 2011 - Discrete Structures of Computer Science
(4.0 cr)
Options
Option 1
CSCI 1133 - Introduction to Computing and Programming Concepts
(4.0 cr)
CSCI 1933 - Introduction to Algorithms and Data Structures
(4.0 cr)
or
Option 2
CSCI 1103 - Introduction to Computer Programming in Java
(4.0 cr)
or
CSCI 1113 - Introduction to C/C++ Programming for Scientists and Engineers
(4.0 cr)
CSCI 1913 - Introduction to Algorithms, Data Structures, and Program Development
(4.0 cr)
General Requirements
All students in baccalaureate degree programs are required to complete general University and college requirements including writing and liberal education courses. For more information about University-wide requirements, see the
liberal education requirements.
Required courses for the major, minor or certificate in which a student receives a D grade (with or without plus or minus) do not count toward the major, minor or certificate (including transfer courses).
Program Requirements
All freshmen in the College of Science and Engineering must complete CSE 1001: First-Year Experience.
Science Core
PHYS 1301W - Introductory Physics for Science and Engineering I
[PHYS, WI]
(4.0 cr)
or
PHYS 1401V - Honors Physics I
[PHYS, WI]
(4.0 cr)
or
PHYS 1501V {Inactive}
[PHYS, WI]
(4.0 cr)
Take 1 or more course(s) from the following:
·
ESCI 2201 - Solid Earth Dynamics
(4.0 cr)
·
GCD 3022 - Genetics
(3.0 cr)
·
PHYS 1302W - Introductory Physics for Science and Engineering II
[PHYS, WI]
(4.0 cr)
·
PHYS 1402V - Honors Physics II
[PHYS, WI]
(4.0 cr)
·
PHYS 1502V {Inactive}
[PHYS, WI]
(4.0 cr)
·
PSY 3011 - Introduction to Learning and Behavior
(3.0 cr)
·
Chemistry 1
·
CHEM 1061 - Chemical Principles I
[PHYS]
(3.0 cr)
CHEM 1065 - Chemical Principles I Laboratory
[PHYS]
(1.0 cr)
·
Chemistry 1 Honors
·
CHEM 1071H - Honors Chemistry I
[PHYS]
(3.0 cr)
CHEM 1075H - Honors Chemistry I Laboratory
[PHYS]
(1.0 cr)
·
Chemistry 2
·
CHEM 1062 - Chemical Principles II
[PHYS]
(3.0 cr)
CHEM 1066 - Chemical Principles II Laboratory
[PHYS]
(1.0 cr)
·
Chemistry 2 Honors
·
CHEM 1072H - Honors Chemistry II
[PHYS]
(3.0 cr)
CHEM 1076H - Honors Chemistry II Laboratory
[PHYS]
(1.0 cr)
Computer Science Core
CSCI 2041 - Advanced Programming Principles
(4.0 cr)
CSCI 3081W - Program Design and Development
[WI]
(4.0 cr)
CSCI 4041 - Algorithms and Data Structures
(4.0 cr)
CSCI 4061 - Introduction to Operating Systems
(4.0 cr)
Linear Algebra
CSCI 2033 - Elementary Computational Linear Algebra
(4.0 cr)
or
MATH 2142 - Elementary Linear Algebra
(4.0 cr)
or
Acceptable Substitutions with MATH 4242
MATH 4242 - Applied Linear Algebra
(4.0 cr)
Acceptable Substitutions
MATH 2243 - Linear Algebra and Differential Equations
(4.0 cr)
or
MATH 2373 - CSE Linear Algebra and Differential Equations
(4.0 cr)
or
MATH 2471 - UM Talented Youth Mathematics Program--Calculus II, Second Semester
[MATH]
(2.0 cr)
or
MATH 2574H - Honors Calculus IV
(4.0 cr)
or
Acceptable Honors Math Substitutions
MATH 3592H - Honors Mathematics I
(5.0 cr)
MATH 3593H - Honors Mathematics II
(5.0 cr)
Statistics
STAT 3021 - Introduction to Probability and Statistics
(3.0 cr)
or
IE 3521 - Statistics, Quality, and Reliability
(4.0 cr)
or
EE 3025 - Statistical Methods in Electrical and Computer Engineering
(3.0 cr)
or
Acceptable Substitutions with Stat 3011
STAT 3011 - Introduction to Statistical Analysis
[MATH]
(4.0 cr)
Acceptable Substitutions
STAT 3022 - Data Analysis
(4.0 cr)
or
STAT 4101 - Theory of Statistics I
(4.0 cr)
or
STAT 4102 - Theory of Statistics II
(4.0 cr)
or
STAT 5101 - Theory of Statistics I
(4.0 cr)
or
STAT 5102 - Theory of Statistics II
(4.0 cr)
or
MATH 4653 - Elementary Probability
(4.0 cr)
or
MATH 5651 - Basic Theory of Probability and Statistics
(4.0 cr)
Computer Science Major Electives
Students are strongly encouraged to talk with an academic advisor about faculty constructed tracks suggested within the major electives to complete a specialization within computer science. Students are required to complete 23 credits. Of the 23 credits, 11 must have a CSCI designator.
Take 23 or more credit(s) from the following:
Upper Division Math Oriented Requirement
The following MATH courses are not accepted: MATH 4005, 4065, 4067W, 4113, 4116, 4118, 5067, 5068, 5075, and 5076.
Take 1 or more course(s) from the following:
·
CSCI 4011 - Formal Languages and Automata Theory
(4.0 cr)
·
CSCI 5302 - Analysis of Numerical Algorithms
(3.0 cr)
·
CSCI 5304 - Computational Aspects of Matrix Theory
(3.0 cr)
·
CSCI 5421 - Advanced Algorithms and Data Structures
(3.0 cr)
·
CSCI 5471 - Modern Cryptography
(3.0 cr)
·
CSCI 5481 - Computational Techniques for Genomics
(3.0 cr)
·
CSCI 5525 - Machine Learning: Analysis and Methods
(3.0 cr)
·
MATH 4xxx
·
MATH 5xxx
·
Computer Science Electives
Take 19 or more credit(s) from the following:
·
CSCI 4xxx
·
CSCI 5xxx
·
AEM 4601 - Instrumentation Laboratory
(3.0 cr)
·
AEM 4602W - Aeromechanics Laboratory
[WI]
(4.0 cr)
·
AST 4041 - Computational Methods in the Physical Sciences
(4.0 cr)
·
BIOL 5272 - Applied Biostatistics
(4.0 cr)
·
CHEM 4021 - Computational Chemistry
(3.0 cr)
·
EE 4301 - Digital Design With Programmable Logic
(4.0 cr)
·
EE 4303 - Introduction to Programmable Devices Laboratory
(1.0 cr)
·
EE 4341 - Embedded System Design
(4.0 cr)
·
EE 4363 - Computer Architecture and Machine Organization
(4.0 cr)
·
EE 5364 - Advanced Computer Architecture
(3.0 cr)
·
EE 5371 - Computer Systems Performance Measurement and Evaluation
(3.0 cr)
·
EE 5393 - Circuits, Computation, and Biology
(3.0 cr)
·
EE 5505 - Wireless Communication
(3.0 cr)
·
FNRM 5131 - Geographical Information Systems (GIS) for Natural Resources
(4.0 cr)
·
FNRM 5262 - Remote Sensing and Geospatial Analysis of Natural Resources and Environment
(3.0 cr)
·
FNRM 5462 - Advanced Remote Sensing and Geospatial Analysis
(3.0 cr)
·
HSCI 4321 - History of Computing
[TS, HIS]
(3.0 cr)
·
IDSC 4204W - Strategic Information Technology Management
[WI]
(4.0 cr)
·
IDSC 4431 {Inactive}
(2.0 cr)
·
IDSC 4441 - Electronic Commerce
(2.0 cr)
·
IE 4011 - Stochastic Models
(4.0 cr)
·
INET 4011 - Networking I: Network Administration
(4.0 cr)
·
INET 4021 - Dev Ops I: Network Programming
(4.0 cr)
·
INET 4041 - Networking II: Emerging Technologies
(4.0 cr)
·
INET 4061 - Data Science I: Fundamentals
(4.0 cr)
·
INET 4062 - Data Science II: Advanced
(4.0 cr)
·
INET 4711 - Data Management II: Distributed Systems
(4.0 cr)
·
KIN 5001 - Foundations of Human Factors/Ergonomics
(3.0 cr)
·
LING 5801 - Introduction to Computational Linguistics
(3.0 cr)
·
MATH 4xxx
·
MATH 5xxx
·
ME 5228 - Introduction to Finite Element Modeling, Analysis, and Design
(4.0 cr)
·
ME 5286 - Robotics
(4.0 cr)
·
MICE 5035 - Personal Microbiome Analysis
(3.0 cr)
·
PHYS 4041 - Computational Methods in the Physical Sciences
(4.0 cr)
·
PHYS 4051 - Methods of Experimental Physics I
(5.0 cr)
·
PSY 5018H - Mathematical Models of Human Behavior
(3.0 cr)
·
PSY 5038W - Introduction to Neural Networks
[WI]
(3.0 cr)
·
STAT 4xxx
·
STAT 5xxx
·
GDES and PDES course options
Take 0 - 2 course(s) from the following:
·
GDES 4371 - Data & Information Visualization
(3.0 cr)
·
GDES 5341 - Interaction Design
(3.0 cr)
·
GDES 5342 - Advanced Web Design
(3.0 cr)
·
GDES 5372 {Inactive}
(3.0 cr)
·
GDES 5386 - Fundamentals of Game Design
(3.0 cr)
·
PDES 5704 - Computer-Aided Design Methods
(3.0 cr)
Upper Division Writing Intensive within the major
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.
Take 0 - 1 course(s) from the following:
·
CSCI 3081W - Program Design and Development
[WI]
(4.0 cr)
·
CSCI 3921W - Social, Legal, and Ethical Issues in Computing
[CIV, WI]
(3.0 cr)
·
CSCI 4271W - Development of Secure Software Systems
[WI]
(4.0 cr)
·
CSCI 4511W - Introduction to Artificial Intelligence
[WI]
(4.0 cr)
·
CSCI 4970W - Advanced Project Laboratory
[WI]
(3.0 cr)
·
CSCI 5127W - Embodied Computing: Design & Prototyping
[WI]
(3.0 cr)
Program Sub-plans
A sub-plan is not required for this program.
Integrated B.ISyE/MS.ISyE
Students can prepare for a rewarding career in the area of Analytics by earning both a Bachelor's in ISyE and a Master of Science in ISyE (Analytics track) in just five years through ISyE’s integrated B.ISyE/M.S. in ISyE program. Students in the integrated program can save both time and money without sacrificing any aspect of the undergraduate or graduate experience.
Benefits of the Integrated Program
The integrated program offers streamlined early admission to the MS program and the possibility of early completion of the MS degree.
ISyE undergraduate students are eligible to apply to the integrated program as early as spring of their junior year and receive an admission decision by that summer. Admitted students can start earning course credit toward their graduate degree during their senior year. Students who begin their freshman year with credit for three or more Bachelor’s courses can often complete both the Bachelor’s and Master’s degrees within five years (10 semesters). This would typically take at least 11 semesters for students not enrolled in the integrated program.
Completion of the Analytics track M.S. degree allows students to broaden and deepen their knowledge of analytics (optimization, operations research, data analysis, computation, and statistics) considerably beyond what is covered in the undergraduate curriculum. The Analytics track of the M.S. program includes rigorous coursework as well as an industry-sponsored capstone project. Further infor
Courses that will be used to fulfill Master’s degree requirements must appear in this sub-plan by the tenth day of the semester in which the student is enrolled in the courses.
Any final edits or updates to this sub-pan must be reflected on the APAS no later than the last day of instruction in the semester in which the undergraduate degree will be awarded. Courses not in this sub-plan by that time cannot be updated at a later time; and, therefore will not be eligible for use towards the Master’s degree.
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