# Data Science Concentration

## Mathematics, Bachelor of Science with a Concentration in Data Science Requirements

Code | Title | Credits |
---|---|---|

GENERAL EDUCATION REQUIREMENTS - 46 Hours Required | ||

Minimum of “C-“required | ||

Fundamental Academic Skills | 15 | |

ENGLISH COMPOSITION I | ||

ENGLISH COMPOSITION II | ||

Writing in the Discipline Course | ||

PUBLIC SPEAKING FUNDS | ||

or CMST 2120 | ARGUMENTATION AND DEBATE | |

INTRODUCTION TO MATHEMATICAL AND COMPUTATIONAL THINKING | ||

or MATH 1100 | DATA LITERACY AND VISUALIZATION | |

or MATH 1130 | QUANTITATIVE LITERACY | |

or MATH 1140 | QUANTITATIVE REASONING FOR HEALTHCARE PROFESSIONALS | |

or MATH 1300 | COLLEGE ALGEBRA WITH SUPPORT | |

or STAT 1100 | DATA LITERACY AND VISUALIZATION | |

or STAT 1530 | ELEMENTARY STATISTICS | |

Distribution Requirements | 31 | |

Natural Science - From two disciplines and at least one lab - 7 hrs | ||

Social Science - From two disciplines - 9 hrs | ||

Humanities and Fine Arts - From two disciplines- 9 hrs | ||

Global Diversity - 3 hrs | ||

US Diversity - 3 hrs | ||

MAJOR REQUIREMENTS | ||

**Course will satisfy UNO's General Education requirement | ||

^Course requires pre-requisite(s) | ||

Mathematics Major with a Concentration in Data Science - 46 Hours Required | ||

Required Coursework | 25 | |

CALCULUS I (^) | ||

CALCULUS II | ||

CALCULUS III | ||

APPLIED LINEAR ALGEBRA | ||

INTRODUCTION TO ABSTRACT MATH | ||

DIFFERENTIAL EQUATIONS | ||

INTRODUCTION TO ANALYSIS | ||

Select one of the following | 3 | |

INTRODUCTION TO COMPUTER SCIENCE I | ||

MATHEMATICAL COMPUTING I | ||

INTRODUCTION TO NUMERICAL METHODS | ||

Select all of the following Data Science Concentration courses | 15 | |

MATHEMATICAL COMPUTING II (^) | ||

or CSCI 1620 | INTRODUCTION TO COMPUTER SCIENCE II | |

INTRODUCTION TO PROBABILITY AND STATISTICS I | ||

INTRODUCTION TO PROBABILITY AND STATISTICS II | ||

INTRODUCTION TO DATA SCIENCE | ||

EXPLORATORY DATA VISUALIZATION AND QUANTIFICATION | ||

Select one of the following Data Science Concentration courses | 3 | |

DETERMINISTIC OPERATIONS RESEARCH MODELS | ||

PROBABILISTIC OPERATIONS RESEARCH MODELS | ||

INTRODUCTION TO MACHINE LEARNING AND DATA MINING | ||

INDEPENDENT STUDIES | ||

LINEAR MODELS | ||

TIME SERIES ANALYSIS | ||

College Breadth (choose one option) | 15-30+ | |

Option 1: Complete any UNO minor or undergraduate certificate - 15+ hours | ||

Option 2: Additional General Education Requirements - 19+ hours | ||

Additional quantitative literacy - 3 hours | ||

Additional Social Science Gen. Ed. from 3rd Discipline - 3 hours | ||

Additional Humanities Gen. Ed. from 3rd Discipline - 3 hours | ||

Additional Nat. and Physical Science w/ Lab - 4-5 hours | ||

Option 3: CAS comprehensive major (50+ hours) OR any second UNO major (30+ hours) | ||

Bachelor of Science Cognate Requirement | 15 | |

The Bachelor of Science Degree requires at least 15 hours of related Cognate coursework that must be approved by the Mathematics Academic Advisor/Coordinator. Students can also choose a UNO Minor to satisfy their cognate requirement; however, this Cognate minor cannot double-count as the Option 1 minor for the College of Arts & Sciences College Breadth Requirement. A Computer Science Minor cannot satisfy the Cognate requirement for Mathematics. No more than 6 credits of cognate coursework may double-count within the general education requirements. | ||

ELECTIVES | ||

Elective hours as required to reach a total of 120 hours |

## Mathematics, Bachelor of Science with a Concentration in Data Science Four Year Plan

Freshman | ||
---|---|---|

Fall | Credits | |

CMST 1110 or CMST 2120 | PUBLIC SPEAKING FUNDS or ARGUMENTATION AND DEBATE | 3 |

ENGL 1150 | ENGLISH COMPOSITION I (*) | 3 |

MATH 1950 | CALCULUS I (**) | 5 |

Social Science | 3 | |

*ENGL 1150: Requires placement. | ||

**MATH 1950: Requires Math Placement Exam or ACT or SAT scores. | ||

Credits | 14 | |

Spring | ||

ENGL 1160 | ENGLISH COMPOSITION II | 3 |

MATH 1960 | CALCULUS II | 4 |

Natural/Physical Science with Lab | 4 | |

Humanities/Fine Arts Course with Global Diversity | 3 | |

Elective | 1 | |

Credits | 15 | |

Sophomore | ||

Fall | ||

MATH 1970 | CALCULUS III | 4 |

MATH 2050 | APPLIED LINEAR ALGEBRA | 3 |

Humanities/Fine Arts Course | 3 | |

Social Science | 3 | |

Natural/Physical Science* | 3 | |

*N&PS course must be in a 2nd discipline | ||

Credits | 16 | |

Spring | ||

MATH 2230 | INTRODUCTION TO ABSTRACT MATH | 3 |

MATH 2350 | DIFFERENTIAL EQUATIONS (*) | 3 |

Humanities/Fine Arts Course** | 3 | |

Social Science & U.S. Diversity Course*** | 3 | |

Advanced Writing Requirement^ | 3 | |

**HFA must be in a 2nd discipline | ||

***SS must be in a 2nd discipline | ||

Credits | 15 | |

Junior | ||

Fall | ||

MATH 3230 | INTRODUCTION TO ANALYSIS (*) | 3 |

MATH 4740 | INTRODUCTION TO PROBABILITY AND STATISTICS I (**) | 3 |

Coding Course 1*** | 3 | |

Additional Humanities/Fine Arts Course for A&S or Minor/2nd Major Course^ | 3 | |

Additional Social Science Course for A&S or Minor/2nd Major Course# | 3 | |

***See Academic Catalog for list of Coding Course Options. | ||

^A&S College Requirement Options. Additional HFA course must be in a 3rd discipline | ||

#A&S College Requirement Options. Additional SS course must be in a 3rd discipline | ||

Credits | 15 | |

Spring | ||

HIST 1000 or Minor/2nd Major Course* | 3 | |

MATH 4750 | INTRODUCTION TO PROBABILITY AND STATISTICS II (**) | 3 |

Cognate Course | 3 | |

MATH 3200 or CSCI 1620 | MATHEMATICAL COMPUTING II (***) or INTRODUCTION TO COMPUTER SCIENCE II | 3 |

Cognate Course | 3 | |

*A&S College Requirement Options | ||

Credits | 15 | |

Senior | ||

Fall | ||

HIST 1010 or Minor/2nd Major Course* | 3 | |

STAT 4410 | INTRODUCTION TO DATA SCIENCE (**) | 3 |

Data Science Elective/Elective*** | 3 | |

Cognate Course | 3 | |

Cognate Course | 3 | |

*A&S College Requirement Options | ||

Credits | 15 | |

Spring | ||

STAT 4420 | EXPLORATORY DATA VISUALIZATION AND QUANTIFICATION (*) | 3 |

Data Science Elective/Elective** | 3 | |

Elective at 3000-4000 Level/Minor/2nd Major Course*** | 3 | |

Elective at 3000-4000 Level/Minor/2nd Major Course*** | 3 | |

Cognate Course | 3 | |

**Students only need one Data Science Elective. Some are offered only in Fall, others only in Spring. Spring: MATH/CSCI 4310 Probabilistic Operations Research Models (prereq: MATH 2050 and MATH 4740), STAT 4440 Time Series Analysis (prereq: MATH 4750 and CSCI 1620 or MATH 3200), or MATH/STAT 4450 Intro to Machine Learning & Data Mining (prereq: MATH 4740) | ||

***Students need at least 120 credits and a minimum of 27 upper level credits throughout the entire degree, with at least 18 credits of upper level coursework taken within the major/concentration. May need to select 3000/4000 level free electives to reach the 27 credit minimum. | ||

Credits | 15 | |

Total Credits | 120 |

This roadmap is a suggested plan of study and does not replace meeting with an advisor. Please note that students may need to adjust the actual sequence of courses based on course availability. Please consult an advisor in your major program for further guidance.

This plan is not a contract and curriculum is subject to change

**Additional Information About this Plan: University Degree Requirements**: The minimum number of hours for a UNO undergraduate degree is 120 credit hours. Please review the requirements for your specific program to determine all requirements for the program. In order to graduate on-time (four years for an undergraduate degree), you need to take 30 hours each year.

**Placement Exams: **For Math, English, Foreign Language, a placement exam may be required. More information on these exams can be found at https://www.unomaha.edu/enrollment-management/testing-center/placement-exams/information.php

**Transfer credit or placement exam scores may change suggested plan of study