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赫瑞瓦特大学-迪拜校区-数据科学(荣誉)理学士学位BSc (Hons) Data Sciences(本科)

赫瑞瓦特大学-迪拜校区-数据科学(荣誉)理学士学位BSc (Hons) Data Sciences(本科)

上课方式:直播,面授
班级类型:小班
上课时段:白天班,晚班
价       格:¥询价

赫瑞瓦特大学-迪拜校区-数据科学(荣誉)理学士学位BSc (Hons) Data Sciences(本科)课程详情

  • 专业概况
  • 所属院系
  • 中国学生入学要求
  • 课程信息

专业概况

在这里学什么?

Data science is the core of the modern data analytics and engineering revolution, turning data into intelligence and information for decision-making and for solving complex, multi-faceted problems. It is a young discipline, and demand for expertise in all aspects of data science is growing very quickly. Because of this strong global demand, the role of data scientist is frequently ranked as the most promising career and consistently tops the best jobs rankings, with professionals in the field reporting high demand, high salaries and high job satisfaction.

The BSc in Data Sciences programme is based on a strong mathematical and statistical foundation and emphasises large-scale data computation using the most relevant and up-to-date programming languages. Depending on their interests, graduates may find employment in the areas of business, finance, government, science, transportation, forensics, energy, the environment or academic research.

The first three years of the programme are designed to provide the necessary core skills and knowledge in mathematics, computer sciences, probability, statistics, machine-learning and artificial intelligence. The fourth year offers the option to focus on advanced machine-learning, statistical algorithms and applications, data engineering, mathematical aspects of data structures or applications to artificial intelligence.

Teaching quality

We pride ourselves in providing students with useful skills both computational and mathematical that can be used to find interesting information in large datasets either statically or dynamically in real time. These skills can be used to find lucrative and interesting jobs in industry and commerce.

Links with industry

We have very strong links with external organisations and industry, with representatives of more than 30 companies and organisations attending our industrial advisory board. Much of our research is in collaboration with leading computing enterprises and students really value our research-led teaching by our enthusiastic staff.

Course content

Year 1 Semester 1

Mandatory courses: Calculus A, Praxis, Software Development 1

Optional courses: Logic and Proof, Intro to Statistical Science A

Semester 2

Mandatory courses: Calculus B, Discrete Mathematics, Software Development 2, Intro to Statistical Science B

Year 2 Semester 1

Mandatory courses: Calculus and Real Analysis A, Linear Algebra, Probability and Statistics A, Introduction to Data Structure and Algorithms

Semester 2

Mandatory courses: Data Structures and Algorithms, Database Management Systems, Probability and Statistics B, Numerical Analysis A

Year 3 Semester 1

Mandatory courses: Statistical Machine Learning, Artificial Intelligence and Intel Agent, Software Engineering, Advanced Statistical Methods

Semester 2

Mandatory courses: Professional Development, Bayesian Inference and Comp Maths, Data Visualisation Analytics, Statistical Models B

Year 4 Semester 1

Mandatory courses: Optimisation, Data Engineering Pipelines, Dissertation A

Optional courses: Industrial Programming, Statistical Computing, Stochastic Processes

Semester 2

Mandatory courses: Big Data Management, Advanced Machine Learning, Dissertation B

Optional courses: Data Visualisation Analytics, Applied Text Analytics, Time series

所属院系

进入哪个院系学习? School of Mathematical and Computer Sciences

中国学生入学要求

为来自中国的学生设计 First year entry: GCE A-Level CCC (or AABB at AS-Level); Second year entry: GCE A-Levels BBC. IELTS - 6.0; Heriot-Watt English - C; PTE Academic - 50-57; TOEFL IBT - 80; Cambridge (New) - 169-175; Cambridge (Old) - FCE (grade B); Trinity ISE II - Pass in all components

课程信息

学制:全日制(4 年)

学费:د.إ65,100.00 (¥ 114,739) /年

开学时间:2022九月13日

申请截止日期:

留学地点:Heriot-Watt University - Dubai CampusDubai Knowledge Park, Blocks 5 & 14,Dubai,UAE

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