The MSc in Data Science & Analytics, jointly offered by the Department of Computer Science and the Department of Statistics, provides an education in the key principles of this rapidly expanding area. The combination of sophisticated computing and statistics modules will develop skills in database management, programming, summarisation, modelling and interpretation of data. The programme provides graduates with an opportunity, through development of a research project, to investigate the more applied elements of the disciplines.
The MSc in Data Science and Analytics is a significant collaboration between the Departments of Computer Science and Statistics; designed to provide graduates with the skills and knowledge required to help companies and public bodies deal with ever increasing and complex data. The programme emphasises the application of Computer Science and Statistics methodologies helping transform data into useful information that can support decision making.
A typical 5 credit module: • 2 lecture hours per week • 1–2 hours of practicals per week • Outside these regular hours students are required to study independently by reading and by working in the laboratories and on exercises.
Students must attain 90 credits through a combination of:
CS6405 Data Mining (5 credits) - Dr. Marc Van Dongen ST6030 Foundations of Statistical Data Analytics (10 credits) ST6033 Generalised Linear Modelling Techniques (5 credits)
- Database Modules -
Students who have adequate database experience take:
CS6408 Database Technology (5 credits) - Mr. Humphrey Sorensen CS6409 Information Storage and Retrieval (5 credits) - Mr. Humphrey Sorensen
- Students who have not studied databases take:
CS6503 Introduction to Relational Databases (5 credits) CS6505 Database Design and Administration (5 credits)
Elective Modules (30 credits)
Students must take at least 10 credits of CS (Computer Science) modules and at least 10 credits of ST (Statistics) modules from those listed below:
CS6322 Optimisation (5 credits) - Dr. Steve Prestwich CS6323 Analysis of Networks and Complex Systems (5 credits) - Prof. Gregory Provan CS6509 Internet Computing for Data Science (5 credits) ST6032 Stochastic Modelling Techniques (5 credits) ST6034 Multivariate Methods for Data Analysis (10 credits) ST6035 Operations Research (5 credits) ST6036 Stochastic Decision Science (5 credits)
- Programming Modules -
Students who have adequate programming experience take:
CS6406 Large-Scale Application Development and Integration l (5 credits) - Professor Gregory Provan CS4607 Large-Scale Application Development and Integration ll (5 credits) - Professor Gregory Provan
- Students who have not studied programming take:
CS6506 Programming in Python (5 credits) CS6507 Programme in Python with Data Science and Applications (5 credits) - Dr. Kieran Herley
Part 2 (30 credits)
Students select one of the following modules:
CS6500 Dissertation in Data Analytics (30 credits) ST6090 Dissertation in Data Analytics (30 credits)
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 Data Science and Analytics
Students who pass each of the taught modules may opt to exit the programme and be conferred with a Postgraduate Diploma in Data Science and Analytics.
This programme aims to prepare students to manage, analyse and interpret large heterogeneous data sources. Graduates will design, compare and select appropriate data analytic techniques, using software tools for data storage/management and analysis, machine learning, as well as probabilistic and statistical methods. Such abilities are at the core of companies that constantly face the need to deal with large data sets.
Companies currently seeking graduates with data analytics skills include: firms specialising in analytics, financial services and consulting, or governmental agencies.
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).
Tick this if you’d like to know more about fees for this course or university– including information for part-time, distance-learning or international students. Why not use the message box below to tell the university which specific fees you’d like to know more about or to ask about funding opportunities?
Tick this if you have questions about getting admitted to courses at this university, including queries about eligible undergraduate degree subjects or academic entry tests.
Why not use the message box below to tell the university about your existing qualifications and experience?
Tick this is you have questions about studying in a foreign language at this university.
Why not use the message box below to tell the university about your language proficiency or ask if it accepts specific test scores?
Tick this if you’d like to know more about the application process at this university, including the material you will need to provide and the deadline for submissions.
Why not use the message box below to ask more specific questions, such as requirements for international students?
Tick this if you have a more specific enquiry, or if you would just like more general information (such as a prospectus). Use the message box below to let the university know how it can help you.
Including a specific message makes it easier for universities to help you with your enquiry and application. You can ask about information for international applicants, scholarships, student accommodation or anything else you’d like to know about the course.
* required field
Please correct the errors indicated below to send your enquiry