Professional Science Master in Computer Science: Entrepreneurship

学历文凭
Professional Masters Degree

专业院系
创业研究

开学时间

课程时长

课程学费

国际学生入学条件
Undergraduate degree in computer science or a related discipline such as mathematics, physics, or engineering
Applicants must demonstrate courses taken or competency in the following areas: Data Structures and Programming, Operating Systems, Analysis of Algorithms, Calculus, Discrete Mathematics, Probability and Statistics
Official transcript from previously earned degrees
Official score from the Graduate Record Examination (GRE)
3 letters of recommendation
English proficiency testing
TOEFL minimum 79
IELTS minimum 6.5
Applicants must demonstrate courses taken or competency in the following areas: Data Structures and Programming, Operating Systems, Analysis of Algorithms, Calculus, Discrete Mathematics, Probability and Statistics
Official transcript from previously earned degrees
Official score from the Graduate Record Examination (GRE)
3 letters of recommendation
English proficiency testing
TOEFL minimum 79
IELTS minimum 6.5
IDP—雅思考试联合主办方

雅思考试总分
6.5
了解更多
- 雅思总分:6.5
- 托福网考总分:79
- 托福笔试总分:570
- 其他语言考试:NA
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
UMass Lowell's program offers theoretical grounding combined with an industry-influenced curriculum that sets our graduates apart. Alumni of the program work in companies like Amazon, Bloomberg, EMC, Facebook, Fidelity, Google, IBM, Microsoft, MITRE and Raytheon. Graduates of the program work across industries, in large and small organizations – and start their own companies, with expertise gained through an entrepreneurship option. Bioinformatics option graduates work primarily in the life sciences sector, improving people's lives by making sense of the voluminous biological and health-care related data available today. Opportunities abound for students to work on industry-sponsored research projects and in well-funded research centers and labs, like the Robotics Lab. Students collaborate with their peers on projects and field competitive teams, like the one that developed the Rover Hawk robot that took first place at a NASA competition. And students work with and learn from faculty who are experts in AI and Machine Learning, Information/Systems Security and Big Data.
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