• Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • Cardiff University Featured Masters Courses
  • University of Glasgow Featured Masters Courses
  • Goldsmiths, University of London Featured Masters Courses
  • University of Derby Online Learning Featured Masters Courses
  • St Mary’s University, Twickenham Featured Masters Courses
  • New College of the Humanities Featured Masters Courses
  • Coventry University Featured Masters Courses
King’s College London Featured Masters Courses
Queen’s University Belfast Featured Masters Courses
Cass Business School Featured Masters Courses
Barcelona Executive Business School Featured Masters Courses
Loughborough University Featured Masters Courses
"datamining"×
0 miles

Masters Degrees (Datamining)

  • "datamining" ×
  • clear all
Showing 1 to 4 of 4
Order by 
Aimed at individuals with a good degree containing quantitative elements, who wish to gain statistical data analysis skills relevant to business, commerce and other applications. Read more

MSc in Applied Statistics and Datamining

• Aimed at individuals with a good degree containing quantitative elements, who wish to gain statistical data analysis skills relevant to business, commerce and other applications.

• Preparation for commercial data analysis.
• A commercially relevant programme of study that has content aligned with the requirements of partners in the commercial analysis sector.

• Strongly applied bias, with an emphasis on application in the commercial sector.

• Dissertation topics are generated in part by our commercial partners.

• Teaching includes widespread commercial software packages e.g. SAS, SPSS, along with popular open-source tools e.g. R.

• Teaching consists of a mixture of short, intense courses with a large proportion of continuous assessment and more traditional lecture courses with end of semester exams.

• A graduate from this programme would be seeking employment as an analyst within a company, research body, government, or as a statistical consultant.

Features

* Opportunities to work closely, and undertake project work, within a research group.

* Access to a wide range of advanced MMath courses across the entire spectrum of Mathematics and Statistics.

* The School is well equipped with personal computers and laptops, a parallel computer and an on-site library, and has attracted substantial amounts of external funding.

Careers

Our graduates hold positions at leading universities or companies in areas as diverse as business administration, computer science and modelling, fisheries laboratories and pure mathematics. In short, a postgraduate degree in mathematics or statistics from St Andrews opens the way for a variety of careers.
Our recent graduates at Masters and Doctoral level have, amongst other things:
• Moved on to postdoctoral studies.
• Joined the academic staff of leading UK and international universities.
• Found highly-paid positions in analysing futures/finance for large consulting firms and major financial institutions, for example: Scottish and Southern Energy, RBS, Capital One, Aquila Insight, Aviva, PwC, American Express, Goldman Sachs, Tesco Bank.
• Found rewarding and challenging positions in the computer industry.
• Found academically rewarding positions and careers in government agencies, including, for example, GCHQ.
• Joined government and non-governmental organisations to advise wildlife and conservation managers, including, for example, the Wildlife Conservation Society (WCS).
• Improved their mathematics qualifications, hence enhancing their positions and prospects in the secondary and tertiary education sectors.

Read less
This MSc programme will provide you with the skills required to understand the entrepreneurship and innovation required for the software industry. Read more
This MSc programme will provide you with the skills required to understand the entrepreneurship and innovation required for the software industry. Many national and multinational companies employ computer science graduates in areas such as software development and engineering, artificial intelligence, systems and networks, database and systems security as well as mobile multimedia, modelling, research and development. You will also get the chance to demonstrate the skills you have learned by completing a substantial research and development project.

Visit the website: http://www.ucc.ie/en/ckr40/

Course Details

Students must attain 90 credits through a combination of:

- Core Modules (30 credits)
- Elective Modules (30 credits) (15 credits from Group 1 and 15 credits from Group 2 below)
- Research & Development Project (30 credits)

Core Modules

CS6403 Case Studies in Computing Entrepreneurship (5 credits) - Dr. John Herbert
CS6406 Large-Scale Application Development and Integration 1 (5 credits) - Prof. Gregory Provan
CS6407 Large-Scale Application Development and Integration 2 (5 credits) - Prof. Gregory Provan
CS6408 Database Technology (5 credits) - Mr. Humphrey Sorensen
CS6409 Information Storage and Retrieval (5 credits) - Mr. Humphrey Sorensen
CS6410 Project Development Skills (5 credits) - Mr. Marc Van Dongen

Elective Modules Group I

CS6312 Mobile Devices and Systems (5 credits) - Dr. Dan Grigoras
CS6314 Mobile Applications Design (5 credits) - Dr. Sabin Tabirca
CS6320 Formal Methods for Distributed Systems (5 credits) - Dr. John Herbert
CS6321 Model-Based Software Development (5 credits) - Dr. John Herbert
CS6322 Optimisation (5 credits) - Dr. Steve Prestwich

Elective Modules Group 2

CS6313 Services and Mobile Middleware (5 credits) - Dr. Dan Grigoras
CS6315 Mobile Systems Security (5 credits)
CS6316 Cellular Network Services (5 credits)
CS6317 Multimedia Technology in Mobile Networks (5 credits) - Dr. Sabin Tabirca
CS6323 Analysis of Networks and Complex Systems (5 credits) - Prof. Gregory Provan
CS6325 Network Security (5 credits) - Dr. Simon Foley
CS6405 Datamining (5 credits) - Dr. Marc Van Dongen

Research Phase (after period 2)

CS6400 Dissertation in Computing Science (30 credits)

Assessment

Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2015 Book and for each module in the Book of Modules 2015/2016 - http://www.ucc.ie/modules/

- Postgraduate Diploma in Computing Science -

Students failing to achieve an aggregate of at least 60% across all modules but who achieve a pass in each of the taught modules at their first attempt graduate with a Postgraduate Diploma in Computing Science. Students may also opt to exit the programme and graduate with a Postgraduate Diploma in Computing Science provided they have achieved a pass in each module.

Careers

Companies actively recruiting Computer Science graduates in 2014-15 include:

Accenture, Aer Lingus, Amazon, Apple, Bank of America Merrill Lynch, Bank of Ireland, BT, Cisco, CiTi-Technology, Cloudreach, Dell, Digital Turbine Asia Pacific, EMC, Enterprise Ireland, Ericsson, First Derivatives, Guidewire, IBM, Intel, Open Text, Paddy Power, Pilz, PWC, SAP Galway Transverse Technologies, Trend Micro, Uniwink, Version 1 (Software).

How to apply: http://www.ucc.ie/en/study/postgrad/how/

Funding and Scholarships

Information regarding funding and available scholarships can be found here: https://www.ucc.ie/en/cblgradschool/current/fundingandfinance/fundingscholarships/

Read less
The School of Computer Science (SoCS) offers you a great opportunity for research and graduate studies. We have professors at the cutting edge of their fields, offer courses covering a wide range of computer science areas, and provide competitive financial incentives to eligible students. Read more
The School of Computer Science (SoCS) offers you a great opportunity for research and graduate studies. We have professors at the cutting edge of their fields, offer courses covering a wide range of computer science areas, and provide competitive financial incentives to eligible students. Graduate studies in the SoCS will enable you to engage in groundbreaking research that will prepare you for industry or further studies.

Masters Degree

The MSc in Computer Science emphasizes both academic and applied research that can contribute to further research, industry partnerships, and government programs. Interaction with other disciplines is encouraged and many faculty collaborate and work with leading industry partners. The MSc program is a two-year program during which you will complete five courses, give a public seminar and complete and successfully defend a thesis. Our MSc degree is also very time efficient and students can complete the program in as little as 4 semesters (16 months).

Areas of Study

-Applied Modelling (AM): Students working in this field will engage in research on topics such as graph theory and algorithms, formal specifications, hardware-software co-design, and interdisciplinary work in environmental modeling and disease spread modeling.
-Artificial Intelligence (AI): Students working in this field will engage in research on topics such as Bayesian techniques, artificial neural networks, evolutionary computation, fuzzy systems, datamining, pattern recognition, intelligent agents.
-Distributed Computing (DC): Students working in this field will engage in research on topics such as parallel computing, distributed systems, embedded systems, multi-agent systems, mobile computing, wireless networks, and ad hoc networks.
-Human Computer Interaction (HCI): Students working in this field will engage in research on topics such as context-aware systems, usability, interface design, mobile and ubiquitous computing.

Read less

  • 1
Show 10 15 30 per page



Cookie Policy    X