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Program Overview
Statistics and Data Science
Overview
Big data is changing the world. Offered through the Department of Mathematics, this degree prepares you to take part in the data revolution. Students earning a Bachelor of Science or Bachelor of Arts in Statistics and Data Science will have a solid foundation in mathematics. Yet they focus on the capture, maintenance, processing, analysis and communication of data through immersion in courses in probability, statistics, data science and computer programming. Undergraduates also must complete a minor outside the Department of Mathematics. The B.A. and B.S. allow students to pursue graduate degrees or careers in analytics, risk assessment, finance, and other math- and science-related fields.
Learning Outcomes
- Be able to define and apply mathematical and statistical terms precisely
- Produce effective analyses from data using a variety of computational, mathematical, and statistical approaches
- Critically evaluate and extend statistical models drawn from current scientific literature
- Effectively interpret and communicate their results
- Collect, organize, and visualize data for exploration, analysis, and communication
- Identify and analyze data science tasks to formulate and choose appropriate models and analytical tools to develop solutions
- Effectively use one or more professional statistical and data analytics software packages
- Identify and analyze social, legal, and ethical issues in data science
Program Details
Sample Courses
- DATA 363: Introduction to Statistical Methods
- DATA 462: Financial Math
- DATA 498A: Capstone in Data Science
Career Fields
- Market research
- Scientific research
- Risk analysis
- Finance
- Analytics
- Actuarial science
Level of Math
- Substantial Knowledge
This strand involves skill and facility with calculus. The S-strand begins at one of two calculus options - MATH 122A/B (Functions for Calculus and First-Semester Calculus) or MATH 125 (Calculus I). Students who successfully complete the S-strand may continue on to MATH 129 (Calculus II), MATH 223 (Vector Calculus), or beyond. Those who choose but are not ready to begin the S-strand will be required to take preparatory work.
Level of Second Language
- 4th Semester Proficiency
Fourth-semester skill level in a second language is required. B.A. degree students may fulfill this requirement with one of the following options:
- Scoring the equivalent of fourth-semester skill level on an entrance or placement examination administered by The University of Arizona.
- Completion of a two-course sequence beyond the second semester of post-secondary language instruction.
- Completion with a C or higher of a 300- or 400-level language course at the post-secondary level.
- Completion of one course beyond the third semester in combination with an AP (Advanced Placement) score, IB (International Baccalaureate) score or a CLEP (College Level Entrance Program) score determined by the individual language department.
- An AP, IB, or CLEP language score determined by individual language departments
- A minimum of one semester study abroad in a language program approved by the appropriate language department as the equivalent of fourth-semester skill level.
Pre-major Required?
- No
This Major's College
- College of Science
Degree
- Bachelor of Arts
Sample Plans
4-Year Sample Plan
- First Year
- 1st Semester
- MATH 122A Functions for Calculus
- MATH 122B First-Semester Calculus
- ENGL 101 - First Year Writing 1 (GE Foundation Composition)
- GE Core: Exploring Perspectives or Building Connections
- GE Core: Exploring Perspectives or Building Connections
- Introduction to the General Education Experience (Entry Course)
- First-Year Colloquium (optional) ex. DATA 195M
- 2nd Semester
- MATH 129 Calculus II
- ENGL 102 - First Year Writing 2 (GE Foundation Composition)
- Python Programming Course ex. CSC 110 Intro to Computer Programming I
- DATA 201 - GE Core: (Building Connections)
- GE Core: Exploring Perspectives or Building Connections
- 1st Semester
- Second Year
- 3rd Semester
- MATH 263 Introduction to Statistics and Biostatistics
- ISTA 322 Data Engineering
- GE Core: Exploring Perspectives or Building Connections
- GE Foundation Second Language (First Semester)
- 4th Semester
- DATA 363 Intro Statistical Method
- Linear Algebra Course ex. MATH 313 Intro to Linear Algebra
- GE Core: Exploring Perspectives or Building Connections
- GE Core: Exploring Perspectives or Building Connections
- GE Foundation Second Language (Second Semester)
- 3rd Semester
- Third Year
- 5th Semester
- DATA 375 Intro to Statistical Computing
- Major elective ex. ISTA 320 Applied Data Visualization
- Minor course
- GE Foundation Second Language (Third Semester)
- General Education Portfolio (Exit Course)
- 6th Semester
- DATA 474 Intro to Statistical Machine Learning
- Major elective ex. PHIL 206 Ethics of AI
- Minor course
- GE Foundation Second Language (Fourth Semester)
- General Elective
- 5th Semester
- Fourth Year
- 7th Semester
- DATA 467 Intro to Applied Linear Models
- DATA 498A Capstone for Statistics and Data Science
- Minor course
- Minor course
- General Elective
- 8th Semester
- Major elective ex. DATA 439 Statistical Natural Language Processing
- Minor course
- Minor course
- General Elective
- General Elective
- 7th Semester
Map Transfer Coursework
- Enter your coursework from Arizona universities or community colleges to see how they can map to this major.
- Connect with The University of Arizona Academic Advisors to validate how your coursework will transfer.
About the Transfer Mapping Categories
- Maps to One Requirement
- A transfer course with this designation matches a UAZ course that maps to one requirement for this major.
- Can Map in Multiple Ways
- A transfer course with this designation matches a UAZ course that maps to more than one requirement for this major.
- Ask an Advisor
- A transfer course with this designation matches a UAZ course that has not yet been mapped to a requirement for this major, or it means that the transfer course was input incorrectly.
