|Description of Major|
Major in Statistics
Statistics describes ways in which quantitative reasoning affects life and it develops skills to participate in such reasoning. Statistics is about acquiring data, understanding the data, and communicating the results of analysis to another audience. It is also about extracting information from the data to scientifically support the decision making process.
In recent years, statistics as a field of knowledge has become immensely important as its applications have emerged in many new areas. With the help of computers, data accumulated in various fields of science and business must be processed statistically in order to assist in decision making. Finance and Health Science are two major fields which each year require more and more extensive use of statistical methods. In particular, stock market analysis and clinical trials are two of the most popular recent applications. The variety of new applications calls for a variety of new methods. To be a front-runner, you have to be not just a user but also a developer of new statistical techniques. For that role you need extensive background both in mathematical foundations and computer implementations of Statistics.
This joint major allows students to pursue an interest in mathematical statistics, applied statistics, and related areas including biostatistics, operations research, and data miningRequired courses:
MATH 113 Calculus I
MATH 114 Calculus II
and one of:
MATH 128 Introduction to Discrete Mathematics
MATH 240 Linear Algebra
CISC 130 Programming and Problem Solving
IDTH 360 Advanced Statistical Software
IDTH 400 Data Mining and Machine Learning
STAT or IDTH 460 Statistical Research/Practicum – a capstone experience
If you are interested in a mathematical statistics direction, take:
MATH 200 Multi-var. Calc.
MATH 313 Probability
STAT 314 Math Statistics (same as old MATH314)
STAT 333 Applied Stat. Methods (same as old MATH333)
and two courses from list of electives below.
If you are interested in an applied statistics direction:
STAT 220 Statistics I (formerly IDTH 220)
STAT 320 Statistics II (formerly IDTH 320)
and four courses from list of electives below.
Possible elective courses: (new course proposals for those in bold)
ACSC 264 Theory of Interest
ACSC 464 Math Finance
IDTH 410 Operations Research I
IDTH 411 Operations Research II
MATH 315 Applied Mathematics and Modeling I
MATH 385 Mathematical Methods of Numerical Analysis
STAT 310 Bio-Statistics
STAT 370 Bayesian Statistical Models and Credibility Theory
COJO 100 or COJO 105
Computer and Information Sciences
College of Arts and Sciences, Department of Computer and Information Sciences
O’Shaughnessy Science Hall ( OSS) 402, (651) 962-5470
Computer and Information Sciences is part of the liberal arts curriculum at the University of St. Thomas. Computing is constantly evolving. There is a growing family of computing related disciplines that have joined the initial discipline of Computer Science. Recognizing these many areas within the broader discipline in computing, this department offers four majors: (1) Computer Science, (2) Information Systems, (3) Information Technology, (4) Information Security. In conjunction with the Department of Mathematics we also offer an interdisciplinary major in Statistics. Additionally, there are tracks in Computer Science and Information Systems majors which allow students to complete a Master of Science degree through the Graduate Programs in Software (GPS). Each is described in detail on this web site under the Majors and Minors link above.
These majors are concerned with the collection, organization, processing, storage, retrieval, communication, and use of information in today’s society. The emphasis is on the core of knowledge required to become an effective user of information; to design and implement system and application software; and to understand the concepts involved in areas such as database design, systems analysis, networking, security, artificial intelligence, statistics, and operations research.
The department has arranged its program to prepare students to work in business, industry, education, and government as designers or users; or to pursue entrepreneurial interests in technologically supported areas; or to continue study in graduate school. Courses are arranged to encourage participation of students from other disciplines. The department encourages majors to obtain a minor in another field. Students interested in teacher licensure should see the various science and mathematics programs in the Department of Teacher Education section of this catalog. A dual degree program with Engineering is also available, which is described in the catalog section under School of Engineering.
If you have specific questions or would like to discuss this program, its requirements and benefits, contact:
The Department of Computer and Information Sciences