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Masters Degrees (Datamining)

We have 5 Masters Degrees (Datamining)

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The PGDip/MSc in Applied Statistics and Datamining is a one-year taught programme run by the School of Mathematics and Statistics. Read more

The PGDip/MSc in Applied Statistics and Datamining is a one-year taught programme run by the School of Mathematics and Statistics. The course is aimed at those with a good degree containing quantitative elements who wish to gain statistical data analysis skills.

Highlights

  • The course is commercially relevant and has content aligned with the requirements in the commercial analysis sector. Dissertation topics are generated in part by commercial partners.
  • Teaching includes widespread commercial software packages (SAS, SPSS) along with popular open-source tools (R).

Teaching format

The programme consists of two semesters with taught components which include a mixture of short, intensive courses with a large proportion of continuous assessment and more traditional lecture courses with end-of-semester exams.

For those on the MSc, the taught component will be followed by a 15,000-word dissertation project taking place during the last three months of the course.

The School of Mathematics and Statistics is well equipped with personal computers and laptops, a parallel computer and an on-site library.

Further particulars regarding curriculum development.

Modules

The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017-2018 academic year; some elements may be subject to change for 2018 entry.



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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/

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Why choose this course?. This course is for biosciences graduates looking to open up a route into industry, and for practising professionals seeking to widen their experience and qualifications, and extend their knowledge of applied molecular biology/bioinformatics. Read more

Why choose this course?

This course is for biosciences graduates looking to open up a route into industry, and for practising professionals seeking to widen their experience and qualifications, and extend their knowledge of applied molecular biology/bioinformatics. It provides a sound understanding of the subject’s key principles, as well as how these can be effectively applied to a wide range of industrial and environmental applications. You will benefit from working with excellent technology and research equipment in our state-of-the-art laboratories, and you also receive a thorough grounding in the necessary computing skills needed to access important online databases, such as the human genome. You will be challenged to look to the frontiers of (and even beyond) current thinking in the subject, and to be aware of how your studies impact on your future career/professional role. To complement this, you will gain essential intellectual and transferable skills such as independent planning, hypothesis formulation and testing, and the importance of originality.

What happens on the course?

Typical modules may include:

  • Modern Computer Science
  • Data Management
  • DNA Datamining
  • Masters' Laboratory Techniques
  • Molecular Genetics and Genomics
  • Research Methods
  • Research Project

Why Wolverhampton?

The University of Wolverhampton has a long-standing reputation for the provision of training in Molecular Biology at all levels. The course is has been at the forefront in the identification of bioinformatic skills and has lead to graduates achieving high profile employment as bioinformaticians. This course addresses the rapidly developing field of modern genetics and prepares them for the post- genomics era. The research-active staff who are associated with the Research Institute in Healthcare Science (research evaluated as of national and international excellence at the last Research Assessment Exercise) provide a highly research-focused environment which informs both teaching and the students’ own research projects.

Career Path

Career paths vary from technical to managerial in the industrial, educational, health and research sectors - typically, you will be heading for a role in the areas of general molecular biology, biochemical science, medical science and biotechnology (including pharmaceuticals).

You may prefer to go into postgraduate research at an academic or private sector institution, or embark on a science teaching career.

Find out more about the School of Sciences

https://www.wlv.ac.uk/about-us/our-schools-and-institutes/faculty-of-science-and-engineering/school-of-sciences/



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