UCC Postgraduate courses

Data Science and Analytics

About This Course

Fact File

  • Title

    Data Science and Analytics

  • Code

    CKR49 Full-time

  • College

    Science, Engineering and Food Science

  • Duration

    1 year Full Time

  • Teaching Mode


  • Qualifications


  • EU Fees 2020

    See Fees and Costs for full details.

  • Non-EU Fees 2020


  • Entry Requirements

    See Requirements for full details.

  • Closing Date

    Closed for applications 2020-21

  • Non-EU Closing Date

    This programme is closed for the 2020 intake

  • Start Date

    28 September 2020

Course Outline

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) and a dissertation (30 credits). 

PART 1 (60 credits)

Core Modules (30 credits)

  • CS6405 Data Mining (5 credits) – Dr Alejandro Arbelaez, Semester 2
  • CS6421 Deep Learning (5 credits) – Prof Gregory Provan, Semester 2
  • ST6030 Foundations of Statistical Data Analytics (10 credits) - Dr Michael Cronin & Dr Supratik Roy, Semester 1
  • ST6033 Generalised Linear Modelling Techniques (5 credits) - Dr Michael Cronin, Semester 2

Database Modules

Students who have adequate database experience take:

  • CS6408 Database Technology (5 credits) - Mr Humphrey Sorensen, Semester 1

Students who have not studied databases take:

  • CS6503 Introduction to Relational Databases (5 credits) - Dr Kieran Herley, Semester 1

Elective Modules (30 credits) - All selections are subject to the 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
  • CS6409 Information Storage and Retrieval (5 credits) - Mr Humphrey Sorensen, Semester 2
  • CS6420 Topics in Artificial Intelligence (5 credits) – Prof Barry O’Sullivan
  • ST6034 Multivariate Methods for Data Analysis (10 credits) - Dr Michael Cronin & Dr Supratik Roy, Semester 2
  • ST6035 Operations Research (5 credits) – Dr Brett Houlding, Semester 1
  • ST6036 Stochastic Decision Science (5 credits) – Dr Kevin Hayes, Semester 2
  • ST6040 Machine Learning and Statistical Analytics I (5 credits) - Dr Eric Wolsztynski, Semester 1
  • ST6041 Machine Learning and Statistical Analytics II(5 credits) - Dr Eric Wolsztynski, Semester 2

Programming Modules

Students who have adequate programming experience take:

  • CS6422 Complex Systems Development (5 credits) – Dr Klaas-Jan Stol, Semester 1
  • CS6423 Scalable Computing for Data Analytics (5 credits) - Dr Klass-Jan Stol, 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)

A student who obtains an aggregate mark of at least 60% across the taught modules, and not less than 40% in the Dissertation in Data Science and Analytics will be eligible for the award of the MSc Data Science and Analytics.

Eligible students select one of the following modules:

  • CS6500 Dissertation in Data Analytics (30 credits) - Professor Gregory Provan, Semester 3
  • ST6090 Dissertation in Data Analytics (30 credits) - Dr Michael Cronin, Semester 3

The Book of Modules contains descriptions for all modules listed in the University Calendar. Selection of any modules is governed by the programme requirements outlined in the University Calendar for each programme.


Further details on the modules listed above can be found in our book of modules. Any modules listed above are indicative of the current set of modules for this course but are subject to change from year to year.

University Calendar

You can find the full academic content for the current year of any given course in our University Calendar.

Course Practicalities

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.

Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2017 Book and for each module in the Book of 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.

Why Choose This Course

Graduates of this degree program will fulfil a increasing demand for technical staff with these skills across the IT sector.

Donagh Buckley

Research Director, EMC Ireland

Find Out More

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 2017-18 include: 

Accenture, Aer Lingus, Amazon, Apple, Bank of America Merrill Lynch, Bank of Ireland, BT, Cisco, CiTi-Technology, Cloudreach, Dell, Digital Turbine Asia Pacific, Dell 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), VMware.

Starting Salaries

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 €50,000-80,000 depending on industry and experience.

Salaries are in general higher than many other industries.  The following link provides details of the  Brightwater Salary Survey 2018.


Candidates must have:

  1. obtained either an honours level 8 primary degree (minimum 2H1 honours or equivalent) in computer science or mathematical sciences or
  2. an honours level 8 primary degree (minimum 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.

English Language Requirements

Applicants that are non-native speakers of the English language must meet the university approved English language requirements available here.

For applicants with qualifications completed outside of Ireland

Applicants must meet the required entry academic grade, equivalent to Irish requirements, please find our grades comparison by country here

International/non-EU applicants

For full details of the non-EU application procedure please visit our how to apply pages for international students. 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.

Not all courses are open to international/non-EU applicants, please check the fact file above.

For more information please contact the International Office.

Fees and Costs

The EU fee for this course is €7,000.

The Non-EU fee for this course is €18,000.

Full-time/Part-time fee:

If your course is offered full time and part time, normally the fee for the part-time course is half the full-time fee per year, please check the fact file for confirmation.


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 fees@ucc.ie .

Non-EU Fees

The fee schedule for 2019/2020 is available here.

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 for all courses apart from the Education - Professional Master of Education - (Secondary School/Post-Primary Teacher Training) which has a €100 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 for most courses in early November of each year. Check specific course details. 


For courses that are in the rounds system (Irish and EU applicants), please check the rounds closing dates here

Questions on how to apply?

Please use our web enquiry form to contact us.


Please note that successful EU 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 programme is closed for the 2020 intake

Apply Now

For queries regarding course content or timetables please contact