入学要求 Requirement:
学术要求: Good first degree (minimum 2.1 or equivalent) in Computer Science or a related subject at bachelor level.
英语要求:• IELTS Minimum score of 6.5 with a minimum of 6.0 in each component
• TOEFL Minimum score of 580 (paper based test), 230 (computer based test) or 92 (internet based test)
学费 Tuition Fee:2011/2012 International £11,900
课程特征 Course Features:
On this course you will undertake a mix of specialised modules that will give you a thorough knowledge of techniques and tools for knowledge discovery and data mining. You will gain a comprehensive understanding of the role of data in modern business, its collection, storage, maintenance and access. You will take compulsory modules in research techniques, data mining, statistics and artificial intelligence as well as two optional modules from a range, which may include applications programming, database manipulation, information retrieval and NLP, or a research topic. You will acquire experience of working with the commercial tools used to
课程内容 Course Content :
Compulsory Study (140 credits)
Students will select 140 credits from the following module(s).
Name |
Code |
Credits |
Period |
Applied Statistics |
CMPSMC28 |
20 |
Semester 2 |
Artificial Intelligence and Algorithmics |
CMPSMA24 |
20 |
Semester 2 |
Data Mining |
CMPSMC24 |
20 |
Semester 2 |
Dissertation |
CMPSMP6X |
60 |
Semester 2 |
Research Techniques |
CMPSMP2Y |
20 |
Year Period |
Option A Study (40 credits)
Students will select 40 credits from the following module(s).
Name |
Code |
Credits |
Period |
Applications Programming |
CMPSMA23 |
20 |
Semester 1 |
Database Manipulation |
CMPSMB11 |
20 |
Semester 1 |
Human Computer Interaction |
CMPSMM23 |
20 |
Semester 1 |
Information Retrieval and Natural Language Processing |
CMPSMB29 |
20 |
Semester 1 |