FindA University Ltd Featured Masters Courses
Coventry University Featured Masters Courses
University of East London Featured Masters Courses
University of Derby Featured Masters Courses
University of Southampton Featured Masters Courses

Course content

Big data is poised to change the way enterprises function and a society operates, and is changing the way science and engineering is conducted. The MSc program in Big Data Technology jointly offered by the Departments of Computer Science and Engineering and Mathematics integrates different disciplines together to allow students to know all the important aspects of the big data and how it is used in the real world.

Programe Objectives
The program is aimed at educating students about big data and issues related to big data. The students are expected to be familiar with the workflow of big data systems and social and societal implications of big data systems.

The program helps to integrate different disciplines together and students in this program will learn the major components of big data:
-Big data infrastructure
-Big data integration
-Big data storage
-Big data modeling and management
-Big data computing systems
-Big data analytic and mining systems
-Big data security, policy and social implications, as well as human factors
-Big data applications in various fields (data science)

Curriculum
Students must complete 30 credits of coursework, with 12 credits of core courses and 18 credits of elective courses. Students shall take ten 3-credit taught courses or eight to nine 3-credit taught courses plus independent project(s) offered from the program. Each course listed below carries 3 credits. Subject to the approval from the program director, students may take a maximum of 6 credits of CSIT courses offered by the MSc in Information Technology program as partial fulfillment to meet the graduation requirement of the program.

Core Courses
MSBD 5001 Foundations of Data Analytics
MSBD 5002 Data Mining and Knowledge Discovery (Co-Listing with CSIT 5210)
MSBD 5003 Big Data Computing
MSBD 5004 Mathematical Methods for Data Analysis

Elective Courses
MSBD 5005 Data Visualization
MSBD 5006 Quantitative Analysis of Financial Time Series (Co-Listing with MAFS 5130)
MSBD 5007 Optimization and Matrix Computation
MSBD 5008 Introduction to Social Computing
MSBD 5009 Parallel Programming
MSBD 5010 Image Processing and Analysis
MSBD 5011 Advanced Statistics: Theory and Applications
MSBD 5012 Machine Learning
MSBD 5013 Statistical Prediction
MSBD 5014 Independent Project

*Courses are offered subject to needs and availability.

Facilities
Students can enjoy library support, computer support, sports facilities, and email account at no extra cost. Upon graduation, students could also apply for related alumni services.

Loading...

Loading...

Loading...


Enquire About This Course

Recipient: Hong Kong University of Science and Technology

* required field

Please correct the errors indicated below to send your enquiry


Your enquiry has been emailed successfully





FindAMasters. Copyright 2005-2018
All rights reserved.

Let us know you agree to cookies

We use cookies to give you the best online experience. By continuing, we'll assume that you're happy to receive all cookies on this website. To read our privacy policy click here

Ok