Statistics - 5-Year Bachelor of Science and Master of Science in Statistical Data Science
Well-trained statisticians are in high demand in various application areas including health and medicine, business, engineering, physical sciences, environmental studies, and government. The combined degree program enables ambitious and academically talented statistics majors at Texas A&M University to earn both a bachelor's degree and a master's degree within a period of five years after entering Texas A&M as a freshman. Depending on the electives selected, a student completing the combined program will be prepared to enter:
- Employment as a statistical analyst or as a data scientist;
- The professional job marketplace for quantitatively trained professionals;
- A career in secondary education;
- A doctoral program in statistics, biostatistics, or in a related discipline, at Texas A&M or another university.
The following is a suggested schedule that includes the required courses for the combined BS in Statistics /MS in Statistical Data Science. It is recognized that many students will change the sequence and number of courses taken in any semester. Deviations from the prescribed course sequence, however, should be made with care to ensure that prerequisites for all courses are met.
First Year | ||
---|---|---|
Fall | Semester Credit Hours | |
ENGL 104 | Composition and Rhetoric | 3 |
MATH 171 | Calculus I 1 | 4 |
STAT 182 | Foundations of Statistics | 1 |
Select one of the following: | 4 | |
Overview of Modern Astronomy | ||
Introductory Biology I | ||
Introductory Biology II | ||
Fundamentals of Chemistry I | ||
Fundamentals of Chemistry II | ||
Newtonian Mechanics for Engineering and Science and Physics of Motion Laboratory for the Sciences | ||
Electricity and Magnetism for Engineering and Science and Electricity and Magnetism Laboratory for the Sciences | ||
American history | 3 | |
Semester Credit Hours | 15 | |
Spring | ||
MATH 172 | Calculus II 1 | 4 |
Select one of the following: | 3-4 | |
Programming I | ||
Introduction to Computer Science Concepts and Programming | ||
Program Design and Concepts or Introduction to Program Design and Concepts | ||
Structured Programming in C | ||
Select one of the following | 4 | |
Overview of Modern Astronomy | ||
Introductory Biology I | ||
Introductory Biology II | ||
Fundamentals of Chemistry I | ||
Fundamentals of Chemistry II | ||
Newtonian Mechanics for Engineering and Science and Physics of Motion Laboratory for the Sciences | ||
Electricity and Magnetism for Engineering and Science and Electricity and Magnetism Laboratory for the Sciences | ||
American history | 3 | |
Semester Credit Hours | 15 | |
Second Year | ||
Fall | ||
MATH 221 | Several Variable Calculus 1 | 4 |
POLS 206 | American National Government | 3 |
STAT 211 | Principles of Statistics I 1 | 3 |
Select one of the following: | 3 | |
Public Speaking | ||
Communication for Technical Professions | ||
Argumentation and Debate | ||
Life and physical sciences | 3 | |
Semester Credit Hours | 16 | |
Spring | ||
MATH 304 or MATH 323 | Linear Algebra 1 or Linear Algebra | 3 |
POLS 207 | State and Local Government | 3 |
STAT 212 | Principles of Statistics II 1 | 3 |
Select one of the following: | 3-4 | |
Programming I | ||
Introduction to Computer Science Concepts and Programming | ||
Program Design and Concepts or Introduction to Program Design and Concepts | ||
Structured Programming in C | ||
Creative arts | 3 | |
Semester Credit Hours | 15 | |
Third Year | ||
Fall | ||
STAT 404 | Statistical Computing | 3 |
STAT 414 | Mathematical Statistics I | 3 |
Language, philosophy and culture | 3 | |
Mathematics elective 2 | 3 | |
Outside specialization elective 3 | 3 | |
Semester Credit Hours | 15 | |
Spring | ||
STAT 408 | Introduction to Linear Models | 3 |
STAT 415 | Mathematical Statistics II | 3 |
Outside specialization elective 3 | 3 | |
General elective | 6 | |
Semester Credit Hours | 15 | |
Fourth Year | ||
Fall | ||
STAT 406 | Design and Analysis of Experiments | 3 |
Graduate coursework 7 | 3 | |
Social and behavioral sciences | 3 | |
Mathematics or Statistics elective 5 | 3 | |
Outside specialization elective 3 | 3 | |
Semester Credit Hours | 15 | |
Spring | ||
STAT 482 or STAT 483 | Statistics Capstone or Interdisciplinary Data Analytics Practicum | 3 |
Statistics elective 6 | 3 | |
Outside specialization elective 3 | 3 | |
General elective | 6 | |
Semester Credit Hours | 15 | |
Fifth Year | ||
Fall | ||
Graduate coursework 7 | 15 | |
Semester Credit Hours | 15 | |
Spring | ||
STAT 692 | Statistical Consulting 4 | 2 |
Graduate coursework 7 | 12 | |
Semester Credit Hours | 14 | |
Total Semester Credit Hours | 150 |
- 1
Must make a grade of C or better.
- 2
Select from ISEN 320, ISEN 340, ISEN 350, ISEN 355; MATH 300, MATH 302, MATH 308, MATH 409, MATH 410, MATH 417 or MATH 437, MATH 442, MATH 446, MATH 447, MATH 469, MATH 470.
- 3
Students must take 12 hours in an outside specialization area upon approval by a departmental advisor. At least 6 hours must be upper-level hours.
- 4
Courses to be used towards both the BS in Statistics and MS degree in Statistical Data Science.
- 5
Select from ISEN 320, ISEN 340, ISEN 355; MATH 300, MATH 302, MATH 308, MATH 409, MATH 410, MATH 417 or MATH 437, MATH 442, MATH 446, MATH 447, MATH 469, MATH 470; STAT 315, STAT 335/CSCE 320, STAT 407, STAT 421, STAT 424/MATH 424, STAT 426, STAT 436, STAT 438, STAT 445, STAT 446, STAT 459, STAT 484, STAT 485, STAT 489, STAT 491.
- 6
Select from STAT 315, STAT 335/CSCE 320, STAT 407, STAT 421, STAT 424/MATH 424, STAT 426, STAT 436, STAT 438, STAT 445, STAT 446, STAT 459, STAT 484, STAT 485, STAT 489, STAT 491.
- 7
32 hours for a non-thesis option. Graduate hours must be taken from 600 level STAT courses not including STAT 601, STAT 651, or STAT 652. Students are required to take two semester hours of STAT 692. For additional information concerning this and other requirements of the Master’s program including the Master’s diagnostic examination, reference the Master of Science in Statistical Data Science graduate catalog page.
Graduation requirements include a requirement for 3 hours of International and Cultural Diversity courses and 3 hours of Cultural Discourse courses. A course satisfying a Core category, a college/department requirement, or a general elective can be used to satisfy this requirement.
Students will not be permitted to receive credit for both the 400- and 600-level versions of certain courses because the content and learning outcomes are too similar (e.g.STAT 404/STAT 604, STAT 408/STAT 608, STAT 407/STAT 607, STAT 426/STAT 626, STAT 436/STAT 636, STAT 438/STAT 638, STAT 445/STAT 645, STAT 446/STAT 646, STAT 459/STAT 659).
The program includes a total of 152 hours which up to 2 hours may be applied toward both the Bachelor of Science in Statistics and the non-thesis option Master of Science in Statistical Data Science.