Bachelor of Science in Applied and Computational Mathematics
  • 学历文凭

    Bachelor Degree

  • 专业院系

    应用数学

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

To be considered for admission to New York Institute of Technology, you must have satisfactorily completed high school (secondary school) with at least a B average or a 3.00 grade point average (GPA) on a 4.00 scale.
Copies of transcripts of all high school work, including college-level courses.
Mid-year and final grades will be required.
Proof of high school graduation.
Proof of English proficiency (TOEFL, IELTS, PTE, Duolingo English Test, or IB English scores).
Two letters of recommendation.
A 300 to 350 word essay describing your career goals in the major you applied for and how attending New York Tech would further those goals.
SAT/ACT scores are not required for international students.

IELTS score: 6.0
TOEFL (iBT) score: 79
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雅思考试总分

6.0

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  • 雅思总分:6
  • 托福网考总分:79
  • 托福笔试总分:160
  • 其他语言考试:Pearson PTE score: 53
CRICOS代码:
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课程简介

Gain the analytic and computational skills to design and implement innovative data-driven solutions across multiple industries and sectors, with foundational and advanced knowledge of applied mathematics principles. The Applied and Computational Mathematics, B.S. degree prepares students for a career in data analytics, one of today's hottest and most in-demand fields. We offer unique, modern coursework that integrates computational methods, mathematical models, and data science with a strong focus on the foundations in mathematics and the sciences, as well as options for concentrations in Mathematical Modeling and Scientific Computation.<br>Youll gain a fundamental, transferrable skill set and the ability to create innovative computing solutions, mathematical models, and analyze complex systems to solve problems in engineering, scientific and technical consulting, insurance, biotech and life sciences, artificial intelligence, data science, and other emerging fields.<br>Learn to identify, formulate, abstract, and solve mathematical problems that use tools from a variety of areas, including algebra, analysis, probability, numerical analysis, and differential equations.
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