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Big data is transforming global industries. This program, administered by the Department of Mathematics, equips you to join the data-driven revolution. Whether pursuing a Bachelor of Science or Bachelor of Arts in Statistics and Data Science, students gain robust mathematical fundamentals while specializing in data acquisition, management, processing, interpretation, and presentation. The curriculum emphasizes probability theory, statistical methods, data science principles, and programming skills. All undergraduates must complement their studies with a minor from outside the Mathematics Department. Both degree paths prepare graduates for advanced academic study or professional roles in analytics, financial risk evaluation, quantitative finance, and various STEM-oriented careers.
LEARNING OBJECTIVES
Utilize course-based methodologies to solve data-intensive scientific challenges
Precisely articulate mathematical and statistical terminology
Analyze and enhance statistical models from contemporary research
Present findings clearly and persuasively
Generate insightful data analyses using computational, mathematical, and statistical techniques
Assess the validity of statistical methodologies and data representations while detecting logical inconsistencies
Students must have high school equivalent to USA and entry requirements vary from country to country. International applicants whose primary language is not English, or who attended school in a non-English speaking country, regardless of citizenship, must prove English proficiency. English proficiency may be proven by one or more of the following:
TOEFL iBT - 70
IELTS - 6.0
Pearson Test of English (PTE) Academic - 53
IB (English A – Higher Level) - 5 or higher
Cambridge English Scale (C1 Advanced, C2 Proficiency) - 169
Cambridge GCSE, O Level or higher (English) - C or higher