Master in Applied Mathematics and Statistics

Stony Brook University, located in Stony Brook, United States, is a public institution founded in 1957. You'll find many advantages to studying here, including access to 146 programs, a diverse community with 4436 international students, and a strong research focus. Specifically, the university's research initiatives and international student body make it an attractive choice for students looking for a global education experience.

The university focuses on many subjects, including programs in engineering, business, and medicine, with a total of 146 programs available. Key departments include those dedicated to cutting-edge research in fields like biotechnology and environmental science. English is the primary language of instruction, helping you improve your language skills while studying.

As a student, you'll have opportunities to engage with the local community in Stony Brook, with its unique blend of coastal and suburban living. The campus offers modern facilities, including labs and libraries, and you can participate in many activities and clubs, helping you build a network of friends and contacts. For instance, you can explore the nearby city, take part in cultural events, or join one of the many student organizations, making your time at Stony Brook University a memorable and enriching experience.

The Master in Applied Mathematics and Statistics is for students who want to learn how to use math and statistics to solve real-world problems. This 2-year Master's degree at Stony Brook University helps students develop strong skills in math and statistics.

The curriculum includes subjects like probability, statistics, and math modeling. Students will develop skills in data analysis, problem-solving, and critical thinking. They will also work on projects that help them apply math and statistics to real-world problems.

Graduates can work as Data Analysts, Statisticians, Math Modelers, or Biostatisticians in industries like finance, healthcare, or technology. They can work for companies like IBM, Google, or the US Government.