At Smith, students learn statistics by doing—class time emphasizes problem-solving and hands-on contact with data. Many courses employ student-driven projects that allow students to pursue their ...

For several weeks, the course will focus on statistics. Descriptive statistics, the normal distribution, probability, and regression will be studied. The purpose of this unit is to provide the student ...

I also like that no GRE was required for admission."Mary Lonz, High School Math Teacher, MS in Applied Statistics "The fact that the courses cover multiple applications is what stood out to me. It ...

The course will touch on the law of large numbers and the central limit theorem. Selected topics may be included such as the Poisson process, Linear Models, Markov chains, Bayesian methods. An ...

All of our courses cover topics across pure mathematics, applied mathematics, probability and statistics – knowledge that every mathematician needs for a successful career. Some courses have more ...

The Bachelor of Science in Statistics and Data Science is the college’s newest ... Get a sense for some of the courses that many of our majors take below. A more complete list for each catalog may be ...

If you are interested in upskilling and discovering the power of data for predicting trends and improving outcomes, this course is ideal. Data Analytics and Social Statistics is designed for any ...

Statistical literacy, the ability to understand and reason with statistics and data, is becoming increasingly important as our world becomes more and more data-rich. This course focuses on developing ...

Several courses also provide exemptions from professional examinations from the Institute of Actuaries. Watch The Joy of Stats, a documentary that gives an insight into the exciting world of ...

An open day gives you the best opportunity to hear first-hand from our current students and staff about our courses. The highly prestigious Jayne Fountain Studentship sponsored by Parexel is open to ...

Topics include the construction of charts and summary statistics, probability, sampling, hypothesis testing, regression, time series analysis and quality management. The fourth number of the course ...