Bachelor of Science in Biology: Bioinformatics
马萨诸塞州洛厄尔大学 - Navitas USA
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国际学生入学条件
You are considered a freshman if you have not taken any post-secondary/college coursework. Your application should include your high school or secondary school records, including results from culminating or leaving examinations. Scores from the Scholastic Aptitude Test (SAT) of the College Entrance Examination Board (CEEB) or the American College Test (ACT) will be required, along with an essay and a letter of recommendation. The university requires a minimum TOEFL score of 550 on the paper version of the test, 213 on the computer-based version or a 79-80 on the internet-based version. IELTS minimum score: 6.5.
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雅思考试总分
6.5
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- 雅思总分:6.5
- 托福网考总分:79
- 托福笔试总分:550
- 其他语言考试:Freshman applicants may waive the TOEFL, IELTS exam if their secondary institution provides written verification that the means of instruction is in English, they are enrolled in an IB curriculum, attend an American School or enrolled in a curriculum that leads to Cambridge International Examinations: IGCSE/O-Level and GCE/A level exam.
课程简介
The rapidly expanding field of bioinformatics involves the application of computational methods to analyze massive biological datasets that are now available because of rapid advances in molecular technology. This field requires biologists who are also well versed in computer science. Towards training these future multidisciplinary scientists, the Bioinformatics option offers a rigorous core of basic biology and computer science courses, along with advanced courses in bioinformatics and biology electives. Computing I, and II, with their corresponding labs, are added to the Biology core required courses along with Bioinformatics. Students in the Bioinformatics option will receive hands-on training in both the development and use of computational tools for analysis of diverse datasets, including genomic sequences, microarray comparisons, and protein structure/function interaction. The option is ideally suited for students interested in future professional or academic careers in bioinformatics, comparative genomics, proteomics, molecular modeling, and biological database analysis and management.
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