Diploma in Data Science and Machine Learning
红河理工学院
QS排名:
国际学生入学条件
Grade 12
Submit proof of graduation from or enrolment in Grade 12, including one credit in each of the following:
Grade 12 English
Grade 12 Math (excluding Accounting 40S)
If you provide proof of enrolment at time of application, your official final grades indicating successful completion must be submitted by July 15 for fall enrolment or by the deadline specified in your admission letter.
If you are required to complete an English language assessment, do not submit your transcripts until requested to do so.
IELTS Academic - 6.5 Overall (L- 6.5, S - 6.5, R - 6.5, W - 6.0)
TOEFL iBT - 80 Overall (L- 20, S - 20, R - 19, W - 21)
Duolingo - Minimum Overal Score of 115 Required.
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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:80
- 托福笔试总分:160
- 其他语言考试:PTE Academic - 58 Overall (L - 58, S - 58, R - 58, W - 50)
课程简介
Learn to use cutting-edge technology to revolutionize economic sectors and create efficient, data-driven processes. Youre quick to discover patterns, persistent in your problem solving, and analytical in your decision-making. Combine your talents with a polytechnic education through the Data Science and Machine Learning program, you will build the skills and knowledge you need to start a successful career in various economic sectors. In this program, you will develop advanced math, technology and technical communication skills and learn to inform decisions using analytics. Youll also learn to use this data to implement state-of-the-art machine learning algorithms and develop code for real-world applications. As part of your final term, you will complete a co-op placement or industry project for a local organization to integrate your learning, gain experience and build connections.<br><br>In this program, you will explore and develop processes for various types of machine learning and identify data patterns using your math, analytics and database skills. You will also learn to communicate your findings professionally to peers and external stakeholders. Build introductory machine learning knowledge and fundamental programming skills while developing your math and data analysis techniques. Study supervised machine learning and develop database management abilities while applying your programming skills in data analysis. Explore artificial intelligence and unsupervised machine learning and choose an elective in a specialized area such as neural networks or robotics. Apply your skills and solve real-world problems by working with a local organization through a co-op placement or industry project.
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预科
奖学金
实习机会
在校学习
跨境学习
校园授课-线上开始
在线/远程学习
关于红河理工学院
红河理工学院是一所位于加拿大温尼伯的著名院校,以其致力于提供优质教育和实践技能培训而闻名。 学院注重实践学习,提供广泛的课程以满足不同的教育需求。在红河理工学院,配备先进技术的现代化教室创造了引人入胜的学习环境,让学生可以积极参与教育。 学院还拥有各个领域的专业实验室,让学生获得对未来职业至关重要的实践经验。除了学术资源外,红河学院理工学院还在所有校区提供广泛的图书馆服务,提供学术材料、在线数据库和研究援助。 学生还可以受益于娱乐设施和学生便利设施,包括健身中心和运动场,从而培养全面的学生体验。学院以其敬业的教员而自豪,他们将丰富的行业经验带入课堂,通过现实世界的见解丰富学生的学习。 通过小班授课和个性化教学,学生在整个学术旅程中可以获得个性化的支持和指导。该学院有八个校区,其中三个位于温尼伯,另外五个位于马尼托巴省的农村地区。 每个校区都配备了最先进的学习设备和设施,以满足当地学习项目的需求。红河理工学院的学生享受全面的教育,重点是应用学习,确保他们为未来的职业做好准备。 与企业的战略合作伙伴关系以及带来丰富行业专业知识的学院,使毕业生在毕业后申请职业时处于有利地位 - 这反映在学院毕业生令人印象深刻的就业统计数据中。