A Simple Key For data hk master Unveiled
A Simple Key For data hk master Unveiled
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The supplies for basic subjects are going to be provided for self-analyze, while the State-of-the-art topics will be released from the lecture. Pupils are necessary to be informed about Python language.
The Office of Stats and Actuarial Science and Division of Computer system Science jointly offer a postgraduate curriculum resulting in the degree of Master of Data Science, with two review modes: complete-time manner with a single in addition to a 50 percent academic yrs and section-time mode with two along with a fifty percent educational years.
The programs provided by the planet-class professors are very well made, which handle equally the theoretical and practical Views of matters associated with large data technologies. LAU Tsz-Kit
In order to be a data scientist, data engineer, device learning engineer, big data engineer or another data science positions, then this system is perfect for you.
The system will review some Highly developed subject areas and methods in database techniques, having a center on the facets of database systems style and design & algorithms and massive data processing for structured data. Standard matters contain: question optimization, Bodily database style, transaction management, crash recovery, parallel databases.
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A university student who fulfils all the requirements for graduation shall be awarded a Master of Science in Data Science degree with considered one of the following classifications:
This class addresses the Sophisticated concept of place estimation, interval estimation and speculation testing. Employing a mathematically-oriented method, the system offers a proper cure of inferential problems, statistical methodologies and their underlying concept. It can be suited specifically for college kids meaning to more their scientific studies or to build a career in statistical investigate. Contents involve: (one) Choice trouble – frequentist tactic: loss perform; risk; conclusion rule; admissibility; minimaxity; unbiasedness; Bayes’ rule; (two) Decision challenge – Bayesian method: prior and posterior distributions, Bayesian inference; (three) Estimation theory: exponential families; probability; sufficiency; negligible sufficiency; completeness; UMVU estimators; details inequality; substantial-sample theory of optimum chance estimation; (4) Speculation tests: uniformly most powerful (UMP) take a look at; monotone chance ratio; UMP unbiased take a look at; conditional check; large-sample concept of likelihood ratio; self-confidence set; (five) Nonparametric inference; bootstrap methods.
: covariance capabilities and the variogram; spatial trends and directional consequences; intrinsic models; estimation by curve fitting or by optimum likelihood; spatial prediction by least squares, by simple and standard kriging, by trans-Gaussian kriging. (three)
Evaluation: On completion on the practicum, Every university student is required to post a written report (60%) and to offer an oral presentation (forty%) on his/her practicum knowledge. Supervisors will evaluate the students based mostly on their own efficiency in the practicum period.
This scholarship is awarded per year to exceptional new students from participating Belt and Street countries. Composition charges of Data Hongkong MDASC could possibly be waived for awardees, and extra allowance of HK$ten,000 will be furnished to assistance their scientific tests.
This course aims at introducing statistical methodologies in examining money data. Economic apps and statistical methodologies are intertwined in all lectures.
Quantitative buying and selling is a systematic expense method that includes identification of investing alternatives through statistical data Assessment and implementation by using Pc algorithms. This program introduces several methodologies that are commonly employed in quantitative investing.
Vital subject areas include: Handling of Uncooked data sets for fraud detection; Purposes of descriptive analytics, predictive analytics and social community analytics to build fraud detection models; Economical Fraud Analytics problems and troubles when utilized in company context.