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Academic Program Guide


Statistics


ACADEMIC MAP (Effective Summer 2017 and after)

This map is a term-by-term sample course schedule. The milestones listed to the right of each term are designed to keep you on course to graduate in four years. The Sample Schedule serves as a general guideline to help you build a full schedule each term. The General Education and Elective courses must be selected to satisfy all area and multicultural requirements unless your program meets these requirements with major courses. Milestones are courses and special requirements necessary for timely progress to complete a major. Missing milestones will result in one of two types of map registration stops. The first level (Degree Map Off-track) is placed following grade posting if the student has missed a milestone (course and/or GPA) for the first time in the major. If a student is in non-compliance with milestones for two (2) consecutive semesters (excluding summers), a Major Change Required stop is placed on the student's registration.

The Statistics major works best if you start in the highest mathematics courses for which you have prerequisites. It is also beneficial for you to take STA2122 prior to the start of Term 5. Because collateral requirements for the major also satisfy the minor requirements in Mathematics, you may choose additional electives. Students anticipating graduate study in statistics are encouraged to take STA4322 and additional mathematics courses such as MAC2313, MAA 4226-4227 (Advanced Calculus I, II), and MTG 4302 (Elementary Topology I).

Mapping Coordinator: Shellie Camp
Email: scamp@fsu.edu

Sample Schedule

Term 1 hrs
ENC1101 Freshman Composition3
MAC1105 College Algebra or higher3
GE Core Natural Science w/ Lab4
GE Core Social Science3
GE Core Humanities/Cultural Practice3
Milestones 1
Complete ENC1101 ( ≥ C minus )
Term 2 hrs
ENC2135 Research, Genre, and Context 3
MAC1140 Pre-Calculus Algebra 3
MAC1114 Analytic Trigonometry2
GE History3
GE Natural Science3
Milestones 2
Complete ENC2135 ( ≥ C minus )
Complete 1st GE Mathematics course ( ≥ C minus ) MAC1105 or higher recommended
Term 3 hrs
GE Ethics3
GE Social Science3
MAC2311 Calculus with Analytic Geometry I4
Foreign Language4
Milestones 3
Complete 2nd GE Mathematics or Statistics course ( ≥ C minus ) MAC1140 or higher recommended
Term 4 hrs
MAC2312 Calculus with Analytic Geometry II4
SPC1017 Fundamentals of Speech or SPC2608 Public Speaking (Oral Competency/Speech) 3
Foreign Language4
GE Humanities/Cultural Practice3
Milestones 4
Recommended: Complete Oral Competency/Speech course (SPC1017 or SPC2608)
Complete E-Series course
Term 5 hrs
STA3032 Applied Statistics for Engineers and Scientists 3
Foreign Language4
STA3024 SAS for Data and Statistical Analysis3
Minor3
Elective3
Milestones 5
Complete appropriate STA course (STA2122 or any STA course at the 3000/4000 - level)
Term 6 hrs
STA3064 Introduction to Statistical Modeling with SAS or STA4202 Analysis of Variance and Design of Experiments or STA4853 Time Series and Forecasting Methods 3
STA3064 Introduction to Statistical Modeling with SAS or STA4202 Analysis of Variance and Design of Experiments or STA4853 Time Series and Forecasting Methods 3
MAS3105 Applied Linear Algebra I4
Elective 3
Minor3
Milestones 6
Complete MAC2311
Complete Scholarship in Practice
Term 7 hrs
STA3064 Introduction to Statistical Modeling with SAS, STA4102 Computational Methods in Statistics I, STA4203 Applied Regression Methods, STA4222 Sample Surveys , STA4664 Statistics for Quality and Productivity , STA4702 Applied Multivariate Analysis or STA4502 Applied Nonparametric Statistics 3
STA4321 Introduction to Mathematical Statistics or STA4442 Introductory Probability I3
Minor3
Elective3
Elective3
Milestones 7
Complete MAC2312
Apply for a pre-graduation check
Complete STA3032 or one 4000 level STA course
Term 8 hrs
STA4103 Computational Methods in Statistics II or STA4322 Mathematical Statistics or STA4202 Analysis of Variance and Design of Experiments or STA4853 Time Series and Forecasting Methods 3
STA4103 Computational Methods in Statistics II or STA4322 Mathematical Statistics or STA4202 Analysis of Variance and Design of Experiments or STA4853 Time Series and Forecasting Methods 3
Minor3
Elective 3
Elective3
Milestones 8
Apply for Graduation in 1st two weeks
Complete STA4321 or STA4442
Complete MAS3105
Complete STA3024

Employment Information
Representative Job Titles Related to this Major: Baccalaureate level- Statistician, SAS Programmer, Data/Quantitative/Statistical Analyst, Actuary, Quality Control Specialist, Systems Analyst, Cost Estimator. With Further Study- Statistical Consultant, Data Analytics Specialist, Data Miner/Specialist, Senior Statistical Programmer, Biostatistician, Bioinformatic Scientist, Epidemiologist, Research Statistician, Survey Statistician, Econometrician, Risk Analyst, Reliability Engineer, Quality Engineer, Business Intelligence Analyst, Marketing Analyst, Predictive Modeler.

Representative Employers: Insurance Companies, Banks, Financial Institutions, Communications Companies, Research Foundations, Governmental Agencies, Medical Research Centers, Industrial Firms, Pharmaceutical & Chemical Companies, Marketing Research Firms

International Opportunities: International study is available for all students and may include opportunities for internships or taking course work towards various majors and minors. International study may have an impact on the MAP; therefore, it is important to consult with the academic advisor before participating. Interested students can find information about international study, research, internships, and service opportunities at: global.fsu.edu/undergraduate-students/going-abroad.

This Map is not a contract, either expressed or implied, between the University and the student, but represents a flexible program of the current curriculum which may be altered from time to time to carry out the academic objectives of the University. The University specifically reserves the right to change, delete or add to any Map at any time within the student’s period of study at the University.




View Statistics Program Guide