Shenandoah University · USA

Data Science & Applied Mathematics

Campus Bachelor Full Time

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Delivery

Campus

Study mode

Full Time

Level

Bachelor

Starts

Fall, Spring

Introduction

Data Science & Applied Mathematics is a Bachelor program taught at Shenandoah University, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (4 years) options.

The Bachelor's degree in Data Science & Applied Mathematics at Stockholm University equips students with essential skills required to thrive in today's data-driven world. This program delves into the intricate connections between mathematics, statistics, and computer science, allowing students to harness data and perform meaningful analysis. Throughout the course, students will learn to design data models, apply statistical methods, and use programming languages like Python and R to transform data into actionable insights.

The structured curriculum typically includes core subjects such as probability theory, linear algebra, data mining, machine learning, and software engineering. Students will also engage in hands-on projects that simulate real-world data challenges, enhancing their problem-solving and analytical abilities. The interdisciplinary nature of this program encourages collaboration, fostering teamwork among students from diverse backgrounds.

Studying in Sweden offers a unique opportunity to experience a progressive education system that promotes innovation and sustainability. Stockholm, known for its technological advancements and vibrant start-up ecosystem, provides the perfect backdrop for aspiring data scientists to network, gain valuable insights, and explore career pathways in a global context.

Admission Requirements

The minimum requirements for admission in Data Science & Applied Mathematics at Shenandoah University for all applicants (Domestic or International) are:

program specific academic requirment set by Shenandoah University.
English Language OR any other language requirments as set by Shenandoah University as pre-requiste for admission in Data Science & Applied Mathematics.

Note: Please check the university website in the link below.

Applicants are typically required to have completed secondary education with a strong emphasis on mathematics and science subjects. A solid foundation in analytical and computational skills is advantageous. Additionally, various prerequisites might include advanced level mathematics courses or related subjects, which should be verified against the specific program guidelines.

International students are generally expected to demonstrate English proficiency through standardized tests. An IELTS score of around 6.5 with no section lower than 5.5 or a TOEFL score of approximately 90 are typical benchmarks, but exact requirements may vary and should be checked with the university.