About This Course
Data Science and Analytics
1 year Full Time
EU Fees 2018
See Fees and Costs for full details.
Non-EU Fees 2018
See Requirements for full details.
Now Closed for Applications for 2018
Non-EU Closing Date
This course is now closed to international applications
10th September 2018
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.
Students must attain 90 credits through a combination of:
- core modules (30 credits)
- elective modules (30 credits)
- dissertation (30 credits)
Students take 90 credits as follows:
PART 1 (60 credits)
CORE MODULES (30 credits) - All selections are subject to approval of the programme coordinator
- CS6405 Data Mining (5 credits) - Dr Marc Van Dongen, Semester 2
- ST6030 Foundations of Statistical Data Analytics (10 credits) - Dr Michael Cronin, Semester 1
- ST6033 Generalised Linear Modelling Techniques (5 credits) - Dr Michael Cronin, Semester 2
Students who have adequate database experience take:
- CS6408 Database Technology (5 credits) - Mr Humphrey Sorensen, Semester 1
- CS6409 Information Storage and Retrieval (5 credits) - Mr Humphrey Sorensen, Semester 2
Students who have not studied databases take:
- CS6503 Introduction to Relational Databases (5 credits) - Dr Kieran Herley, Semester 1
- CS6505 Database Design and Administration (5 credits) - Mr Humphrey Sorensen, Semester 2
ELECTIVE MODULES (30 credits) - All selections are subject to approval of the programme coordinator
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, Semester 1
- CS6323 Analysis of Networks and Complex Systems (5 credits) - Professor Gregory Provan, Semester 2
- CS6509 Internet Computing for Data Science (5 credits) - Dr David Stynes, Semester 1
- ST6032 Stochastic Modelling Techniques (5 credits) - Professor Finbarr O'Sullivan, Semester 1
- ST6034 Multivariate Methods for Data Analysis (10 credits) - Dr Michael Cronin, Semester 2
- ST6035 Operations Research (5 credits) - Professor Finbarr O'Sullivan, Semester 1
- ST6036 Stochastic Decision Science (5 credits) - Professor Finbarr O'Sullivan, Semester 2
Students who have adequate programming experience take:
- CS6406 Large-Scale Application Development and Integration I (5 credits) - Prof. Gregory Provan, Semester 1
- CS6407 Large-Scale Application Development and Integration II (5 credits) - Prof. Gregory Provan, Semester 2
Students who have not studied programming take:
- CS6506 Programming in Python (5 credits) - Dr Kieran Herley, Semester 1
- CS6507 Programming in Python with Data Science Applications (5 credits) - Dr Kieran Herley, Semester 2
PART 2 (30 credits)
Students select one of the following modules, which is undertaken after Semester 2 examination results are known:
- CS6500 Dissertation in Data Analytics (30 credits) - Professor Gregory Provan, Semester 3
- ST6090 Dissertation in Data Analytics (30 credits) - Dr Michael Cronin, Semester 3
Applicants who are interested in applying for the programme can also apply online at PAC.
For full details of the non-EU application procedure please visit our how to apply pages for international students.
**All Applicants please note: modules listed in the course outline above are indicative of the current set of modules for this course, but these are subject to change from year to year. Please check the college calendar for the full academic content of any given course for the current year.
In UCC, we use the term programme and course interchangeably to describe what a person has registered to study in UCC and its constituent colleges, schools and departments.
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.
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.
Who Teaches This Course
|CS6406||Dr. Steve Prestwich||Semester 1|
|CS6323||Professor Gregory Provan||
|CS6405||Dr. Marc Van Dongen||
|CS6406||Professor Gregory Provan||Semester 1|
|CS6407||Professor Gregory Provan||Semester 2|
|CS6408||Mr. Humphrey Sorensen||Semester 1|
|CS6409||Mr. Humphrey Sorensen||Semester 2|
|CS6500||Professor Gregory Provan||Semester 3|
|CS6503||Dr. Kieran Herley||Semester 1|
|CS6505||Mr. Humphrey Sorensen
|CS6506||Dr. Kieran Herley||Semester 1|
|CS6507||Dr. Kieran Herley||Semester 2|
|CS6509||Mr. Adrian O'Riordan||Semester 1|
Why Choose This Course
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. Check out our blog to find out what our graduates have to say about the course at: http://csblog.ucc.ie
Skills and Careers Information
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 2016-17 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).
There is an increasing demand for graduates that can collate, interpret, manage and store large volumes of data. Graduates can be employed as analysts, database administrators, data warehouse consultants, business intelligent consultants to name but a few. Employment agencies report typical salaries ranging from €35,000-70,000 depending on industry and experience.
Salaries are in general higher than many other industries. The following link provides details of the Morgan McKinley Salary Guide 2017
Candidates must have:
- obtained either a honours level 8 primary degree (minium 2H1 honours or equivalent) in computer science or mathematical sciences or
- an honours level 8 primary degree (minium 2H1 honours or equivalent) with a strong numerate content (e.g. engineering, finance, physics, biosciences or economics). In such cases the programme team must be satisfied that the numerate content is sufficient for entry to the programme and that applicants have an aggregate grade of a 2H1 in appropriate modules.
Applicants who do not meet the above standard entry requirements will also be considered if they have an undergraduate degree (at Level 8) and a minimum of 5 years verifiable relevant industrial experience.
Applicants who do not have a primary degree will only be considered with a minimum of 10 years verifiable relevant industrial experience.
Candidates from Grandes Écoles Colleges are also eligible to apply if they are studying a cognate discipline in an ENSEA or EFREI Graduate School and are eligible to enter the final year (M2) of their programme.
Shortlisted applicants who do not meet the standard entry requirements will be invited for interview.
Candidates, for whom English is not their primary language, should possess an IELTS score of 6.5, with no individual section lower than 6.0.
If you are applying with Qualifications obtained outside Ireland and you wish to verify if you meet the minimum academic and English language requirements for this programme please click here to view the grades comparison table by country and for details of recognised English language tests.
Non-EU candidates are expected to have educational qualifications of a standard equivalent to Irish university primary degree level. In addition, where such candidates are non-native speakers of the English language they must satisfy the university of their competency in the English language. To verify if you meet the minimum academic requirements for this programme please visit our qualification comparison pages.
For more detailed entry requirement information please refer to the International website .
Fees and Costs
The fee for this course is €7,000.
If your course is offered full time and part time, the fee for part time courses is half the full time fee.
If your course required a deposit, that figure will be deducted from your second semester fee payment in January.
EU student fee payment:
Fees for EU students are payable in two equal instalments. First payment at registration in August and the second in January.
International student fee payment:
Fees for Non-EU Students are payable in one instalment in August.
How can I pay?
By Credit/Debit card online or by credit transfer.
If you have any questions on fee payment please email our Fees Office at email@example.com .
The Non-EU fee for this course is €18,000.
How Do I Apply
1. Choose Course
Firstly choose your course. Applicants can apply for up to three courses under one application. Details of taught courses are available on our online prospectus.
2. Apply Online
Once you have chosen your course you can apply online at the Postgraduate Applications Centre (PAC). Applicants will need to apply before the course closing date. There is a €50 application fee.
3. Gather Supporting Documents
Scanned copies of the following documents will need to be uploaded to PAC in support of your application. Applicants may need to produce the original documents if you are accepted onto a course and register at UCC.
- Original qualification documents listed on your application including transcripts of results from institutions other than UCC
- Any supplementary forms requested for your course.
Please log into PAC for more details.
4. Application processing timeline
Our online application system PAC opens for applications in early November of each year.
Questions on how to apply?
EU students contact firstname.lastname@example.org
International students contact email@example.com
Irish/EU Closing Date Rounds
Irish/EU places on this programme are offered in rounds. The closing dates for each round can be found here. Please note that successful applicants will be required to pay a non-refundable deposit of €500 on acceptance of their place.
The closing date for non-EU applications is This course is now closed to international applicationsApply Now