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The BSc Data Science is to provide graduates in data science with essential trainings of quantitative knowledge, statistics, data mining technology and computing tools for the effective use and analysis of big and complex data for real-world applications that involve making sense of complex data to realize planning and decision making. The programme develops the strong and interdisciplinary trainings in the ability to build data analysis reasoning, communication skills and ethic awareness in realistic inter-professional settings for commercial or public policy problems in various disciplines.

Three flexible modules of advanced knowledge (BSc programme) available Three flexible modules of advanced knowledge (BSc programme)
a) Artificial Intelligence
b) Social Media Analytics
c) Statistical Learning:
a) Artificial Intelligence
b) Social Media Analytics
c) Statistical Learning

BSc Data Science graduates have a broad range of career opportunities in virtually every industry, such as finance and insurance, professional services, IT and many other sectors. We list some categories of data science and analytics professions and corresponding examples below.

(i) Data Scientists

Responsible for fine-tuning existing and new statistical and mathematical data analysis models for various applications in business, finance, information technology and other domains

Skills:algorithms, machine learning, data mining, computer language (Python, R), statistical analysis, optimization, data visualization, artificial intelligence

Roles: organize data; build, evaluate or improve data models, apply existing methods and softwares; develop algorithms

Sample occupations: Data scientist, statistician, quantitative economist, analytics manager, chief analytics officer, IT project manager, financial quantitative analyst, data-driven decision maker

(ii) Data Engineers

Responsible for using software engineering and massive database experience to handle large amounts of data at scale

Skills: data-intensive computing, cloud computing; programming models for big data storage and processing; data protection and security

Roles: application of the latest tools and technology to analyse large-scale data from industry datasets (data storage, visualisation, data warehousing and software development)

Sample occupations: data system developer, data engineer, database administrator, data privacy and security specialist

(iii) Data Analysts and Data Science Professionals

Build, use and interpret data models to develop domain-specific insights from data and to deliver essential support for data-driven decision making.

Skills: data modelling, data visualization, data analysis, data communication, data validation, domain knowledge

Roles: Translate the data models into decisions that improve business performance

Sample occupations: data analyst, business intelligence analyst, systems analyst, financial analyst, analytics manager, marketing analytics manager

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School of Data Science

Pilihan kuliah

Purna Waktu (4 tahun)

Biaya kuliah
HK$140.000,00 (Rp 256.716.712) per tahun
Tanggal mulai

Direncanakan September 2021

Tempat

City University of Hong Kong

Tat Chee Avenue,

Kowloon City, Hong Kong, Kowloon

Persyaratan masuk

Untuk mahasiswa dari Amerika Serikat

Applicants must hold a US High School Diploma AND a minimum score of 1190 (out of 1600) on the new SAT / 1650 (out of 2400) on the old SAT or 24 composite on the ACT, or grade 3 in two subjects in the Advanced Placement (AP) Test for admission to first-year studies. English Language Requirements: a TOEFL Minimum total score 550 on the paper-based test / 79 on the Internet-based test; IELTS: Overall band score of 6.5 or above; Cambridge ESOL Examinations: One of the following: Grade C or above in Certificate of Proficiency in English (CPE); Grade C or above in Certificate in Advanced English (CAE).

Untuk mahasiswa internasional

Applicants are required to have 12 or 13 years of schooling (primary and secondary). To be eligible for consideration for admission, applicants should have attained the minimum grade specified, or where a grade is not specified, an acceptable pass. Entry requirements vary country by country.

Applicants who obtained their entrance qualifications in a language other than English will need an acceptable result in an approved English qualification. The following qualifications are accepted as proof of English language proficiency:

  • TOEFL: Minimum total score of 79 in the Internet-based test
  • IELTS: Overall band score of 6.5 or above
  • Cambridge ESOL Examinations - One of the following: Grade C or above in Certificate of Proficiency in English (CPE); Grade C or above in Certificate in Advanced English (CAE).

Mungkin ada beberapa persyaratan IELTS yang berbeda, tergantung jurusan yang kamu ambil