This program enables students to receive their Statistics undergraduate degree (BS) and a Master of Science (MS) in Statistical Data Science graduate degree in five years.
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.
Plan of Study Grid First Year |
Fall |
ENGL 104 | Composition and Rhetoric | 3 |
MATH 171 | Calculus I 1 | 4 |
STAT 182 | Foundations of Statistics | 1 |
| 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 | |
| 3 |
| Semester Credit Hours | 15 |
Spring |
MATH 172 | Calculus II 1 | 4 |
| 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 | |
| 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 | |
| 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 |
| 3 |
| Public Speaking | |
| Communication for Technical Professions | |
| Argumentation and Debate | |
| 3 |
| Semester Credit Hours | 16 |
Spring |
MATH 304
| Linear Algebra 1
or Linear Algebra | 3 |
POLS 207 | State and Local Government | 3 |
STAT 212 | Principles of Statistics II 1 | 3 |
| 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 | |
| 3 |
| Semester Credit Hours | 15 |
Third Year |
Fall |
STAT 404 | Statistical Computing | 3 |
STAT 414 | Mathematical Statistics I | 3 |
| 3 |
2 | 3 |
3 | 3 |
| Semester Credit Hours | 15 |
Spring |
STAT 408 | Introduction to Linear Models | 3 |
STAT 415 | Mathematical Statistics II | 3 |
3 | 3 |
| 6 |
| Semester Credit Hours | 15 |
Fourth Year |
Fall |
STAT 406 | Design and Analysis of Experiments | 3 |
7 | 3 |
| 3 |
5 | 3 |
3 | 3 |
| Semester Credit Hours | 15 |
Spring |
STAT 482
| Statistics Capstone
or Interdisciplinary Data Analytics Practicum | 3 |
6 | 3 |
3 | 3 |
| 6 |
| Semester Credit Hours | 15 |
Fifth Year |
Fall |
7 | 15 |
| Semester Credit Hours | 15 |
Spring |
STAT 692 | Statistical Consulting 4 | 2 |
7 | 12 |
| Semester Credit Hours | 14 |
| Total Semester Credit Hours | 150 |
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.