*The information contained on this website is for informational purposes only. The Undergraduate Record and Graduate Record represent the official repository for academic program requirements. These publications may be found at **http://records.ureg.virginia.edu/index.php*

### Biostatistics Concentration

The Biostatistics concentration is suitable for students using it as a primary major or a second major in conjunction with a major in Biology. Courses required for this concentration are:

- BIOL 2100 – Introduction to Biology: Cell Biology and Genetics Credits: 3
- BIOL 2200 – Introduction to Biology: Organismal and Evolutionary Biology Credits: 3
- STAT 3120 – Introduction to Mathematical Statistics Credits: 3

#### One of the following:

- MATH 3100 – Introduction to Probability Credits: 3
*or* - APMA 3100 – Probability Credits: 3

#### One of the following:

- MATH 3351 – Elementary Linear Algebra Credits: 3
*or* - APMA 3080 – Linear Algebra Credits: 3

#### One of the following:

- STAT 3220 - Introduction to Regression Analysis Credits: 3 or
- STAT 5120 - Applied Linear Models Credits: 3

#### Additional courses:

- Three elective courses, each three or more credits: These may be selected from among STAT courses numbered 3000 or higher (except STAT 5000-5099) and MATH 4110.

#### Note:

Students double majoring may count at most three courses included in another major, so substitutions may be required to bring the total number of courses to nine.

### Econometrics Concentration

The Econometrics concentration is suitable for students as a primary major, or will serve well as a second major for students in Economics or Commerce. Courses required for this concentration are:

- ECON 2020 - Principles of Economics: Macroeconomics Credits: 3
- STAT 3120 – Introduction to Mathematical Statistics Credits: 3

#### One of the following:

- APMA 3100 - Probability Credits: 3
*or* - MATH 3100 - Introduction to Probability Credits: 3

#### One of the following:

- MATH 3351 – Elementary Linear Algebra Credits: 3 or
- APMA 3080 – Linear Algebra Credits: 3

#### One of the following:

- STAT 3220 – Introduction to Regression Analysis Credits: 3 or
- ECON 3720 – Introduction to Regression Analysis Credits: 4
*or* - STAT 5120 - Applied Linear Models Credits: 3

#### One of the following:

- STAT 5170 - Applied Time Series Credits: 3 or
- ECON 4710 - Economic Forecasting Credits: 3

**Additional courses:**

- Three elective courses, each three or more credits: These may be selected from among STAT courses numbered 3000 or higher (except STAT 5000-5099) ECON 4720, and MATH 4110.

#### Note:

Students double majoring may count at most three courses included in another major, so substitutions may be required to bring the total number of courses to nine.

### Engineering Statistics Concentration

The engineering statistics concentration is designed for SEAS students who want to have a second major in the College. However, it is also possible for a College student to opt for this concentration. Courses required for this concentration are:

#### One of the following:

- APMA 3100 - Probability Credits: 3
*or* - MATH 3100 - Introduction to Probability Credits: 3

#### One of the following:

- MATH 3351 – Elementary Linear Algebra Credits: 3
*or* - APMA 3080 – Linear Algebra Credits: 3

#### One of the following:

- STAT 3220 – Introduction to Regression Analysis Credits: 3
*or* - ECON 3720 – Introduction to Regression Analysis Credits: 4 or
- SYS 4021 – Linear Statistical Models Credits: 4 or
- STAT 5120 - Applied Linear Models Credits: 3

#### One of the following:

- STAT 3120 – Introduction to Mathematical Statistics Credits: 3
*or* - APMA 3120 – Statistics Credits: 3

#### Additional courses:

- Five elective courses, each three or more credits. These may be selected from among STAT courses numbered 3000 or higher (except STAT 5000-5099), ECON 4720, MATH 4110, and SYS 3060.

### Mathematical Statistics Concentration

The audience for this concentration is College students who would like an applied quantitative major. Courses required for this concentration are:

- STAT 3120 – Introduction to Mathematical Statistics Credits: 3

#### One of the following:

- MATH 3100 – Introduction to Probability Credits: 3
*or* - APMA 3100 – Probability Credits: 3

#### One of the following:

- MATH 3351 – Elementary Linear Algebra Credits: 3
*or* - APMA 3080 – Linear Algebra Credits: 3

#### One of the following:

- STAT 3220 – Introduction to Regression Analysis Credits: 3
*or* - STAT 5120 – Applied Linear Models Credits: 3

#### Additional courses:

- Five elective courses, each three or more credits. These may be selected from among STAT courses numbered 3000 or higher (except STAT 5000-5099) and MATH 4110.

#### Note:

Students double majoring may count at most three courses included in another major, so substitutions may be required to bring the total number of courses to nine.

### Actuarial Finance Concentration

The audience for this concentration is students in actuarial careers or the financial applications of statistical methods. Courses required for this concentration are:

- STAT 3120 – Introduction to Mathematical Statistics Credits: 3
- STAT 3150 – Theory of Interest Credits: 3

#### One of the following:

- MATH 3100 – Introduction to Probability Credits: 3
*or* - APMA 3100 – Probability Credits: 3

#### One of the following:

- MATH 3351 – Elementary Linear Algebra Credits: 3
*or* - APMA 3080 – Linear Algebra Credits: 3

#### One of the following:

- STAT 3220 – Introduction to Regression Analysis Credits 3
*or* - ECON 3720 - Introduction to Econometrics Credits:4
*or* - STAT 5120 - Applied Linear Models Credits: 3

#### One of the following:

- STAT 5170 – Applied Time Series Credits: 3
*or* - ECON 4710 - Economic Forecasting Credits: 3

#### Additional courses:

- Three elective courses, each three or more credits. These may be selected from among STAT courses numbered 3000 or higher (except STAT 5000-5099), MATH 4110, and MATH 4140.

It is also recommended that ECON 2010 and ECON 2020 be taken to satisfy VEE requirements in Economics.

**Note:**