Actuarial Science and Statistics, BS (43-576) - Statistics Option (AS02) (120 hours) [Also available as an accelerated program]

Major Requirements: 71 Semester Hours

Statistics Option: 27 Semester Hours

• ACST 4323 - Statistical Aspects of Experimental Design (3)
• ACST 4331 - SAS Programming for Statistical Analysis (3)
• ACST 4351 - Principles of Data Mining (3)
• CS 1110 - Computer Programming II (3)
• CS 2300 - Data Structures (3)
• MATH 3710 - Linear Algebra (3)

General Education Requirements: 39 Semester Hours

All students must complete a minimum of 42 credit hours in general education. See The General Education Program Requirements  for the full listing of requirements. The following general education courses are required by this major:

• MATH 1151 - Calculus I GE (5)

•  

• COMM 1000 - Public Speaking GE (3)

• OR

• COMM 1050 - Communication in Practice GE (3)

• OR

• MKT 1401 - Professional Speaking and Presentation GE (3)

Free Electives: 10 Semester Hours

Minimum Total: 120 Semester Hours

Accelerated Program Notes:

The Accelerated model for this program is designed for the MS Mathematics - Actuarial Science and Statistics Option. 

UCM students with a major GPA of at least 3.00 may consult with their faculty advisor and complete a school application to declare the accelerated BS/MS in Mathematics - Actuarial Science and Statistics Option. Prior to beginning the graduate portion of the program, student in the accelerated program will need to apply to the UCM Graduate School for formal admittance to the Accelerated BS/MS program.

Accelerated student may be eligible to include the following courses as overlap between the undergraduate and graduate programs.  They would be taken at the Graduate level (5XXX):

ACST 5312 Probability Models ( ACST 4312 )

ACST 5315 Mathematical Statistics ( ACST 4315 )

ACST 5321 Regression Analysis ( ACST 4321 )

ACST 5322 Time Series Models and Analysis ( ACST 4322 )

ACST 5323 Statistical Aspects of Experimental Design ( ACST 4323 )

ACST 5331 Multivariate Statistical Analysis (ACST 4335 )

ACST 5351 Principles of Data Mining (ACST 4351 )

ACST 5361 SAS Programming for Statistical Analysis ( ACST 4331 )

ACST 5510 Mathematics of Finance ( ACST 4510 )

ACST 5520 Life Contingencies I ( ACST 4520 )

ACST 5530 Statistical Modeling ( ACST 4530 )

ACST 5540 Insurance Modeling (ACST 4540 )

CS 5200 Database Theory and Applications (CS 4600 )

CS 5700 Artificial Intelligence (CS 4700 )

CS 5710 Machine Learning (CS 4710 )

DSA 5100 Programming Foundations for Data Science and AI (DSA 4100 )

DSA 5200 Advanced Database Visualization (DSA 4200 )

DSA 5600 NoSQL Database Systems (DSA 4600 )

DSA 5620 Big Data Analytics (DSA 4620 )

FIN 5817 Managing Financial Derivatives (FIN 4817 )