Data Science and Statistics, Bachelor of Science (B.S.) & Applied Mathematics and Data Science, Master of Arts (M.A.) Combination 3+2 Program
Students accepted to a Combination 3 + 2 Program are typically able to complete their bachelor’s degree and master’s degree within 5 calendar years by completing nine hours of graduate coursework which applies to their undergraduate degree requirements. Only undergraduate students with proven academic ability will be considered for the program.
Admission Requirements for the Combination 3+2 Program:
Students seeking to enroll in a Combination 3 + 2 Program must satisfy all of the following conditions:
1) Junior or Senior in class standing
2) Undergraduate GPA of 3.0 or above
3) Maintain an overall undergraduate and graduate GPA of at least 3.0 to continue in the Combination 3 + 2 option
4) Approval from the department and Graduate School
To apply students may visit the Graduate School's website.
*Please note, enrollment in a Combination 3 + 2 undergraduate program does not equate to acceptance to the master's degree program. Students must submit an admissions application to begin the master's degree program.
Program Requirements
CIP Code: 27.0501
Students in the Combination 3 + 2 Program must complete the Data Science and Statistics (B.S.) program requirements listed below, with at least a 3.0 GPA, and must apply and be approved to graduate with that degree before being admitted as a graduate student and allowed to proceed to the M.A. in Applied Mathematics & Data Science program. Nine credit hours of graduate coursework (MAT/STA 720, STA 775, and MAT 865) will be applicable to the undergraduate degree.
Upon successful completion of this program, the graduate will: (1) understand the applications and use of data science and in data science or statistics in everyday life; (2) be able to apply a wide variety of statistical techniques; (3) be able to analyze large, complex data sets; (4) use computer packages to perform statistical analyses; (5) be well qualified for employment in industry, government, and the actuarial profession; and (6) be prepared to pursue graduate work in data science or statistics.
Major
Only courses completed with a grade of at least a “C” will count toward the major requirements.
Code | Title | Hours |
---|---|---|
University Graduation Requirements | ||
General Education | 36 | |
Student Success Seminar | ||
SCO 100M | Student Success Seminar in Mathematics and Statistics | 1 |
Upper division courses (42 hours distributed throughout Major/Supporting/Gen Ed/Free Electives categories) | ||
Major Requirements | ||
Core Courses | ||
MAT 239 | Linear Algebra and Matrices | 3 |
MAT 244 | Calculus II | 4 |
STA 270 | Applied Statistics | 4 |
STA 340 | Applied Regression Analysis | 3 |
STA 498 | Data Science & Statistics Capstone | 3 |
MAT 720 | Mathematical Statistics I | 3 |
or STA 720 | Mathematical Statistics I | |
DSC 780 | R and Introductory Data Mining | 3 |
or STA 780 | R and Introductory Data Mining | |
MAT 865 | Applied Linear Algebra | 3 |
Choose from three hours of CSC, DSC, MAT, STA courses numbered 300 or above ^{3} | 3 | |
Major Electives | ||
Choose from one of the following combinations: ^{4} | 6 | |
Data Science: | ||
Data Structures and Programming and Machine Learning | ||
Discrete Mathematics: | ||
Discrete Mathematics and Applied Probability | ||
Statistics: | ||
Mathematical Statistics II ^{2} | ||
Experimental Design | ||
Choose two courses from one of the following categories: | 6-8 | |
Accounting: | ||
Fundamentals of Financial and Managerial Accounting | ||
or ACC 200 | Survey of Accounting | |
Accounting Information System Risk and Security | ||
Agriculture: | ||
Genetics of Livestock Improvement ^{2} | ||
Independent Study in Agriculture:___ | ||
or AGR 509 | Agriculture Research Methods and Interpretation | |
Anthropology and Sociology: | ||
Primate Ecology & Sociality | ||
Social Statistics | ||
Population and Society | ||
Research Methods in Sociology | ||
Biology and Environmental Health Sciences: | ||
One Health: Global Environmental Public Health and Environmental Disease Detectives: Epidemiology | ||
Genetics and Bioinformatics: Principles and Applications ^{2} | ||
Ecology and Conservation Biology ^{2} | ||
Computer Information Systems: | ||
Data Base Management ^{2} | ||
Business Data Mining | ||
or BUS 304 | Essentials of MIS | |
Computer Science and Informatics: | ||
Data Structures ^{2} | ||
Database Systems ^{2} | ||
MS Office & Data Analysis ^{2} | ||
Finance: | ||
Personal Money Management | ||
Financial Institutions ^{2} | ||
or FIN 311 | Personal Financial Planning | |
or FIN 324 | Principles of Investments | |
Global Supply Chain Management: | ||
Essentials of Supply Chain Mgt ^{2} | ||
Supply Chain Planning | ||
or MGT 444 | Strategic Sourcing | |
Government: | ||
Research and Writing in Political Science ^{2} | ||
Capstone Course in Political Science ^{2} | ||
Public Opinion & Voting Behavior | ||
Geosciences: | ||
Geoscience Data and Techniques ^{2} | ||
Geographic Information Systems | ||
Advanced GIS | ||
Remote Sensing | ||
Advanced Geographic Imagery | ||
Marketing: | ||
Principles of Marketing (NB) | ||
Marketing Research and Analysis | ||
or MKT 457 | Experimental Design for Marketing | |
Physics: | ||
Electrical Circuits ^{2} | ||
Advanced Physics Laboratory ^{2} | ||
Classical Mechanics ^{2} | ||
Psychology: | ||
Scientific Literacy in Psychology ^{2} | ||
Sensation and Perception | ||
or PSY 315L | Sensation and Perception Lab | |
Research Literacy in Psychology | ||
Tests and Measurements | ||
Risk Management and Insurance: | ||
Risk Management | ||
Personal Risk Management ^{2} | ||
Advisor-Approved: | ||
Two advisor-approved courses from a department other than the Department of Mathematics and Statistics | ||
Supporting Course Requirements | ||
Choose from one of the following: | 3 | |
Intro to Game Programming | ||
Introduction to Programming for Science & Engineering | ||
Computing Concepts and Programming | ||
Object- Oriented Programming I | ||
Introduction to Technical and Professional Writing | ||
or ENG 300S | Intro to Tech/Prof Writing | |
Calculus I ^{G,5} | ||
Choose from one of the following: | 0-3 | |
Beginning Ethics ^{G} | ||
PHI 130S | ^{G} | |
Technology and Values | ||
Free Electives | ||
Choose from 31-35 hours of free electives | 31-35 | |
Total Hours | 120 |
- ^{ 1 }
Must include at least one of DSC 580 R and Introductory Data Mining or STA 575 Statistical Methods Using SAS or STA 580 R and Introductory Data Mining
- ^{ 2 }
Requires a pre-requisite course
- ^{ 3 }
Excluding: any 349 courses, MAT 303 Mathematical Models and Applications, STA 500 . STA 480 Seminar in ___ will count for only approved topics.
- ^{ 4 }
Courses will not count in both the Core and Major Electives categories.
- ^{ 5 }
Three hours count toward Element 2^{G}
- G
Course also satisfies a General Education element. Hours are included within the 36 hours in General Education.
Applied Mathematics, Master of Arts (M.A.)
See Applied Mathematics and Data Science, Master of Arts (M.A.)