The training practical experience throughout the MDASC is unparalleled. Don't just do I discover from top rated professors of their fields, but additionally from proficient and experienced classmates who come from unique industries.
it's inside the usual research agenda and the volume of models taken isn't under that in the traditional study timetable; and
Graduates of the programme would discover new competencies in new systems for example AI (artificial intelligence), blockchain, large data Examination, monetary fraud analytics, and many others. Understanding and skills attained from completing this programme will area our graduates in a great placement to progress their career.
Applicants shall hold a Bachelor's diploma of this College or a qualification of equal common from this University or An additional equivalent establishment accepted for this intent.
Capturing and utilising essential information and facts from huge datasets poses equally statistical and programming worries. This course is created to equip pupils with the elemental computing competencies needed to use Python for addressing these challenges.
PILO 1: Make clear the Main ideas and methodologies of data analytics, artificial intelligence and intelligent information and facts systems.
A pupil who fulfils all the requirements for graduation shall be awarded a Master of Science in Data Science degree with one among the next classifications:
This training course handles the Highly developed principle of stage estimation, interval estimation and speculation tests. Employing a mathematically-oriented strategy, the course provides a proper treatment method of inferential issues, statistical methodologies as well as their underlying concept. It's suited especially for students aspiring to further their reports or to create a occupation in statistical investigation. Contents include: (one) Selection challenge – frequentist strategy: reduction operate; threat; decision rule; admissibility; minimaxity; unbiasedness; Bayes’ rule; (two) Decision issue – Bayesian method: prior and posterior distributions, Bayesian inference; (three) Estimation idea: exponential families; probability; sufficiency; negligible sufficiency; completeness; UMVU estimators; information and facts inequality; huge-sample theory of read more greatest chance estimation; (four) Speculation tests: uniformly most powerful (UMP) take a look at; monotone chance ratio; UMP impartial examination; conditional test; substantial-sample theory of likelihood ratio; self confidence established; (five) Nonparametric inference; bootstrap solutions.
With effect from 2023/24 tutorial year, applicants who've met the program admission prerequisites and having a certificate of MicroMasters System in Major Data Technological know-how from HKUST and edX would be suitable to apply for:
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It truly is authorized for part-time college students to complete their practicum within their current spot of employment. The practicum will normally take place in the summer semester for entire-time college students or during the summertime semester of the next calendar year for section-time learners.
This class introduces fashionable approaches for constructing and analyzing statistical products as well as their implementation utilizing common computing software, for instance R or Python. It's going to include both equally the fundamental ideas of every modelling technique and the product estimation procedures.
The numerous elective courses satisfy pupils' interests, skills, and vocation plans, while making it possible for pupils To find out more Superior and useful know-how in many different fields.
All of which goal to aid college students in making knowledgeable career possibilities, supply practical schooling to enrich communication, presentation, time management and Sophisticated interview skills, and to boost students' In general competitiveness within the employment markets.